Thu 28 May 2026
Daily Brief — Curated and contextualised by Best Practice AI
Uber Questions AI Value, Amazon Gains Margins, and Phoenix Faces Job Cuts
TL;DR A study highlights the flawed measurement of AI exposure through platform logs, questioning the real occupational impact. Uber's COO doubts the value of AI investments, labeling them as potentially wasteful. Amazon's AWS margins rise due to strategic AI partnerships, outpacing competitors. Phoenix's office job market is threatened by AI-driven automation, signaling potential job losses.
The stories that matter most
Selected and contextualised by the Best Practice AI team
Who Uses AI? Platform Selection and the Measurement of Occupational AI Exposure
arXiv:2605.21743v2 Announce Type: replace-cross Abstract: Conversation logs from AI platforms are increasingly used to measure occupational exposure to artificial intelligence, but the users observed in these logs are not the workforce. We show that platform-derived exposure scores combine task-level AI applicability with the occupational composition of the platform's user base. Holding the empirical design fixed, changing only the platform input changes the post-ChatGPT employment coefficient by a factor of 1.9, and consumer and enterprise channels within the same vendor disagree in sign. We formalize the resulting non-classical measurement error, decompose it into between- and within-occupation selection, and construct workforce-reweighted partial-identification bounds. Reweighting to Bureau of Labor Statistics employment shares attenuates estimates by 42 to 93 percent. The bias captures augmentation among observed users more directly than substitution in the workforce.
Uber COO says AI spending hard to justify: Is ‘tokenmaxxing’ creating value or just more code? | Technology News - The Indian Express
Uber COO says AI spending hard to justify: Is ‘tokenmaxxing’ creating value or just more code? | Technology News - The Indian Express skip to content # Uber COO says AI spending hard to justify: Is ‘tokenmaxxing’ creating value or just more code? ## The top Uber executive’s remarks have grabbed headlines at a time when tech giants are pushing employees to use AI tools as extensively as possible, a trend referred to as ‘tokenmaxxing’. Uber said it has exhausted its annual AI budget just four months into 2026. (Image: Unsplash) Make us preferred source on Google Whatsapp twitter Facebook Reddit PRINT Uber’s head of operations has reignited the debate on AI spending, stating that the ride-hailing giant is finding it increasingly difficult to justify rising AI costs as gains in productivity and efficiency remain elusive. Andrew Macdonald, the president and COO of Uber, said that
Short-Term Gain, Long-Term Fragility: AI Labor Substitution and the Erosion of Sustainable Capability
arXiv:2605.27399v1 Announce Type: new Abstract: What looks like acceleration can be a quiet transfer of burden from the present to the future. Attempts to replace human labor with AI systems are often presented as rational responses to technological progress, but that view is often structurally short-sighted. Across software development and adjacent knowledge industries, AI is increasingly attractive because it appears to reduce labor costs, speed output, and improve short-term metrics. Yet those gains may be achieved by drawing down human capabilities that are slow to build and difficult to restore. This paper develops a mechanism of capability masking and capability erosion under AI labor substitution. AI-generated output can create the appearance that organizational capability has been replaced, even when dependence on skilled human labor remains. That appearance can support hiring restraint while slower costs accumulate in the background. Evidence from AI-assisted coding shows that generated output still requires substantial human verification and remains uneven in correctness, maintainability, and security. Repository-level studies also suggest limits in handling broader codebase context. More broadly, labor-market, political-economy, and industrial-strategy evidence suggests that substitution pressures are being driven by managerial cost incentives and national competition while increasing risks of concentration and platform control. The result is a system that may look more efficient in the short term while becoming more fragile over time.
Anthropic Growth and Bedrock Mix Drive AWS Margins Higher While Peers Lag
Anthropic Growth and Bedrock Mix Drive AWS Margins Higher While Peers Lag SubscribeSign in # Anthropic Growth and Bedrock Mix Drive AWS Margins Higher While Peers Lag ### Amazon’s Bedrock Mix and Anthropic Deal Terms Combine to Show Greater Operating Leverage Jeremie Eliahou Ontiveros, Joey Brookhart, Crystal Huang, and Dylan Patel May 27, 2026 ∙ Paid 44 2 Share While other CSPs have seen declining-to-flat operating margins over the last several quarters, Amazon’s AWS margins inflected this past quarter driven primarily by customer spending growth on Claude through Bedrock. AWS’ higher share of 3P model API spend, Anthropic/Bedrock deal structure, and Anthropic’s ARR outperformance in 1Q26 all contributed to EBIT margins increasing 213bp Q/Q while other CSPs lagged. SemiAnalysis’ work in the new Tokenomics 2.0 model shows how AWS has pulled ahead of the pack and found a strong
Phoenix Built an Empire of Cubicle Jobs. AI Is Coming to Tear It Down.
# Phoenix Built an Empire of Cubicle Jobs. AI Is Coming to Tear It Down. Published: 2026-05-27T01:00:00+00:00 Source: wsj.com (wsj.com) Language: en ## Story PHOENIX—All around this desert city’s sprawling metro area, low-rise office parks with tinted windows and vast parking lots stretch to the horizon. This is America’s back office. Abundant land and cheap labor made Phoenix a premier place for companies to stash lower-paid office workers who don’t need to be physically close to clients or headquarters. The cubicle-based jobs—customer service, data entry, payroll processing—created a vital ladder to the middle class, helping replace factory work lost to overseas competition. Now, these white-collar jobs are fading, too, thanks to continued offshoring and, increasingly, artificial intelligence. Tens of thousands of local workers suddenly face an uncertain future. A test grader saw
Nuclear Power Startup Newcleo to Go Public in SPAC Deal
The deal, which values the developer at about $2.4 billion, follows a wave of nuclear companies going public to serve AI’s surging power needs.
Smaller, Younger, and More Impactful: How AI-Assisted Writing Transforms Research Teams
arXiv:2605.27404v1 Announce Type: new Abstract: The era of Big Science has long been defined by increasingly large and specialized research teams pushing the frontiers of knowledge. However, recent advances in artificial intelligence (AI), particularly large language models (LLMs), are beginning to reshape academic writing and scientific research, potentially disrupting the longstanding trend toward ever-larger teams and transforming other dimensions of research team structure. Drawing on 147,074 full-text publications from the PLoS family and the Nature portfolio since 2020, we examined whether and how AI-assisted writing influences team structure and team outcomes in science. Using multiple methods, including ordinary least square, quantile regression, Poisson regression, logistic regression and propensity score matching, we found that research teams using AI-assisted writing tend to be younger and smaller. Importantly, this shift toward more compact, junior-leaning teams does not come at the expense of scientific impact. On the contrary, we observed a higher probability of research teams that employed AI-assisted writing producing highly impactful publications. These results highlight the significant role of AI-assisted writing in reshaping not only how research is produced, but also how research teams are formed and assembled. Our findings call for policy improvements in research evaluation, funding, and training to address this emerging trend.
Voluntary Collusion with Secret Tools in Competing LLM Agents
arXiv:2605.27593v1 Announce Type: new Abstract: Even when a tool is explicitly described as unfair and harmful to others, ostensibly safety-aligned LLM agents still voluntarily engage in secret collusion whenever doing so confers a strategic advantage. To investigate this phenomenon, we introduce an empirical framework built on two strategic multi-agent environments: Liar's Bar, a competitive deception scenario, and Cleanup, a mixed-motive resource-management scenario, in which agents are offered secret collusion tools that provide significant advantages while clearly disadvantaging the other agents. Across 12 models (at the 7B, 70B, and proprietary scales) and 6 prompt variants, we find that most agents consistently accept these tools and develop collusive strategies, while explicitly acknowledging the unfairness of the tools before accepting. We further show that neither the unfairness labels nor baseline alignment alone reliably deters collusion: only explicit ethical framing reduces adoption and, even then, smaller models remain susceptible. More broadly, our work presents the first systematic investigation of voluntary collusion adoption in LLM-based multi-agent systems, and suggests that preventing such behaviour requires explicit safeguards rather than reliance on general alignment.
Economics & Markets
Meta Eyes AI Subscriptions While AI Rivals Target Meta’s Ad Business
The social giant wants to make money from its chatbot, but its core business may be at risk.
Anthropic Growth and Bedrock Mix Drive AWS Margins Higher While Peers Lag
Anthropic Growth and Bedrock Mix Drive AWS Margins Higher While Peers Lag SubscribeSign in # Anthropic Growth and Bedrock Mix Drive AWS Margins Higher While Peers Lag ### Amazon’s Bedrock Mix and Anthropic Deal Terms Combine to Show Greater Operating Leverage Jeremie Eliahou Ontiveros, Joey Brookhart, Crystal Huang, and Dylan Patel May 27, 2026 ∙ Paid 44 2 Share While other CSPs have seen declining-to-flat operating margins over the last several quarters, Amazon’s AWS margins inflected this past quarter driven primarily by customer spending growth on Claude through Bedrock. AWS’ higher share of 3P model API spend, Anthropic/Bedrock deal structure, and Anthropic’s ARR outperformance in 1Q26 all contributed to EBIT margins increasing 213bp Q/Q while other CSPs lagged. SemiAnalysis’ work in the new Tokenomics 2.0 model shows how AWS has pulled ahead of the pack and found a strong
Alipay Unveils AI Wallet and Token Pay for the Agentic Economy | Sam Boboev
# Alipay Unveils AI Wallet and Token Pay for the Agentic Economy | Sam Boboev Published: 2026-05-27T06:25:45+00:00 Source: linkedin.com (linkedin.com) Language: en ## Story Alipay Unveils AI Wallet and Token Pay for the Agentic Economy | Sam Boboev Agree & Join LinkedIn By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy. # Sam Boboev’s Post 1h Alipay Unveils AI Wallet and Token Pay for the Agentic Economy Alipay has launched a next-generation AI payment infrastructure featuring the world’s first AI Wallet and Token Pay, designed to power transactions in an emerging “agentic economy” where AI agents can autonomously complete purchases and services on behalf of users. The launch marks a major evolution in payments, shifting from human-driven checkouts to AI-assisted commerce with built-in authorization, visibility, and
Council Post: Why Domain-Specific AI Is Reshaping Enterprise Strategy
For CISOs evaluating AI, the key question is whether a model truly understands the environment it operates in.
Semiconductors: supercycle or superbubble?
Plus, semis’ fragile supply chain
Snowflake to burn $6B on AWS Graviton CPUs and AI accelerators
Dataware house gambles cloud conveniences, AI accelerated insights will justify the cost.
The CFOs steering Big Tech’s trillion-dollar AI bet
At Meta, Microsoft, Alphabet, Oracle, OpenAI, and Nvidia, the finance chiefs steering AI investments are all women.
Climate Venture Firm Leaning Into AI With New $150 Million Fund
Five years after Transition Ventures was founded to back early-stage climate startups, the London-based venture capital firm has raised a new $150 million fund, with a focus on power, artificial intelligence, robotics and critical materials.
Uber adds to its Delivery Hero stake at €12bn valuation
Share purchase from Aspex Management steps up US ride-hailing group’s pursuit of German food delivery company
The Singularity Report - Tomas Hoyos
The Singularity Report - Tomas Hoyos # Tomas Hoyos SubscribeSign in # The Singularity Report ### 🚀 IPOs, data center wars, and AI solving the world's hardest math problems. May 27, 2026 1 Share Every week I summarize the most interesting things happening in AI, in 5 minutes or less. Follow@tjhoyos on X/Twitter and subscribe to get this in your inbox every week! Subscribe #### Three big things SpaceX/xAI filed its IPO prospectus as it gets ready to go public. The way they’re positioning their potential market size is interesting: AI ($26.5T), connectivity ($1.6T) and space ($340B). I wouldn’t have thought the ‘we’re going to Mars’ company would lean this hard into AI for their public markets narrative, even if they’re uniquely positioned to do things like space-based data centers and direct-to-device inference via Starlink. The real bull case is if and when they merge with Tes
How AI Mega-Startups Rewired Venture Capital And The Midas List
OpenAI, SpaceX, Anthropic and other private companies are concentrating venture returns and reshaping the Midas List as trillion-dollar IPOs loom.
The Quiet AI Winner That Doesn't Show Up on Any Hot Stock List
This former telecom wreck now has $13 billion in AI contracts. Here's why it's still under the radar.
AI-Driven Investing - by Lihong - The Logbook
A thematic investor with conviction in AI or semiconductors can have an agent build an initial portfolio matching their criteria, monitor the space for new entrants and analyst upgrades, and rebalance toward the strongest opportunities at a regular cadence.
US funds set aside cash as SpaceX and OpenAI prepare to go public, analysts say - CNA
US funds set aside cash as SpaceX and OpenAI prepare to go public, analysts say - CNA #### Recent Searches #### Trending Topics Advertisement Advertisement # US funds set aside cash as SpaceX and OpenAI prepare to go public, analysts say FILE PHOTO: A SpaceX Super Heavy booster carrying the Starship spacecraft lifts off on its 11th test flight at the company's launch pad in Starbase, Texas, U.S., October 13, 2025. REUTERS/Steve Nesius/File Photo FILE PHOTO: A woman poses for pictures in front of the OpenAI logo at Bharat Mandapam, one of the venues for AI Impact Summit, in New Delhi, India, February 17, 2026. REUTERS/Bhawika Chhabra/File Photo FILE PHOTO: A 3D-printed miniature model of Elon Musk and a SpaceX logo are seen in this illustration created on January 23, 2025. REUTERS/Dado Ruvic/Illustration/File Photo 27 May 2026 11:04PM (Updated: 28 May 2026 09:13AM) Set CNA as your
LG Energy Solution rides AI power surge with $1.6b US battery deal - The Korea Herald
The company has recently accelerated investments in grid modernization while expanding renewable energy initiatives and partnerships tied to technology infrastructure. In line with rapidly growing demand for stable power supplies for AI data centers, LG Energy Solution has proactively reshaped ...
America’s Answer to China’s Lithium Stranglehold Is Hiding in the Permian Basin | OilPrice.com
The market is beginning to recover ... as AI-driven energy storage demand and broader battery consumption surge. The very clear lithium demand future is one reason produced-water extraction models like LibertySteam’s are starting to attract attention. Traditional lithium projects often require massive upfront capital, years of permitting, mine development, evaporation infrastructure, and refining ...
How the 2026 Artificial Intelligence Market Report Is Reshaping Investment and Security Strategies - Dr. Matthew Lynch
The landscape of Artificial Intelligence (AI) continues to evolve at an astonishing pace, with implications for businesses, investors, and national security. The recently released Artificial Intelligence market report 2026 by Ropes & Gray sheds light on several key trends that are shaping the ...
A moonshot to avoid a $39 trillion national debt crisis will rely on AI productivity going even better than bulls are hoping for, says JPMorgan
Everything you need to know before you reach the office this morning.
OpenAI’s foundation to spend $250mn on research into AI’s impact on economy
Group sketches out plan to deploy its cash after vowing in March to hand out $1bn over 12 months
AI’s mixed economic signals
Plus, the euro convergence trade
Europe’s Copyright Trap Stalls AI Ambitions - CEPA
Europe’s Copyright Trap Stalls AI Ambitions - CEPA # Europe’s Copyright Trap Stalls AI Ambitions The debate over copyright and AI is often described as a moral battle: the rights of creators versus the "theft" by big tech. This framing is fundamentally flawed. By May 27, 2026 The US has fair use. Japan and Singapore’s broad, innovation-friendly copyright exceptions privilege AI innovation. In contrast, Europe restricts access to data — with grave risks to its economic future. The continent’s Copyright Directive grants copyright exceptions for Text and Data Mining but allows rightsholders to exercise the right to opt out. More than half of news publishers already block the main AI web crawlers by using shared standards for robot exclusion. The consequences of this “data scarcity” are already visible in the widening investment gap between the EU and its global competitors. In 2024,
AI's Disinflationary Promise Runs On Inflationary Energy
But they represent something meaningful: the first serious attempt to build AI infrastructure that works with the energy system. Distributed compute does not require one community to absorb the noise, water consumption, grid pressure, and rate increases so that a company on the other side of ...
Wednesday May 27, 2026 - by Greg Landegger - BitDigest
Wednesday May 27, 2026 - by Greg Landegger - BitDigest # BitDigest SubscribeSign in # Wednesday May 27, 2026 May 27, 2026 Share #### The New Clock Speed of Revolution The printing press took roughly 300 years to reshape European society. The steam engine needed about a century to industrialize the West. The transistor moved faster, maybe forty years from Bell Labs to a computer on every desk. ChatGPT crossed 100 million users in two months and ran through a hundred billion dollars of enterprise spending before most boards had finished writing their first AI policy. Something has fundamentally changed about how technological revolutions unfold, and the playbook that worked for every prior wave is changing. What does it mean for capital allocation, and for the people whose careers sit in the path, when the gap between invention and saturation collapses from generations to quarters?
KPMG scouts Silicon Valley start-ups in bid to head off AI disruption
Firm looks to partner or invest in groups that could otherwise undermine its business model
How AI threatens the giants of consulting
The technology opens the door for smaller, well-funded challengers to take market share from the Big Four and others
Voluntary Collusion with Secret Tools in Competing LLM Agents
arXiv:2605.27593v1 Announce Type: new Abstract: Even when a tool is explicitly described as unfair and harmful to others, ostensibly safety-aligned LLM agents still voluntarily engage in secret collusion whenever doing so confers a strategic advantage. To investigate this phenomenon, we introduce an empirical framework built on two strategic multi-agent environments: Liar's Bar, a competitive deception scenario, and Cleanup, a mixed-motive resource-management scenario, in which agents are offered secret collusion tools that provide significant advantages while clearly disadvantaging the other agents. Across 12 models (at the 7B, 70B, and proprietary scales) and 6 prompt variants, we find that most agents consistently accept these tools and develop collusive strategies, while explicitly acknowledging the unfairness of the tools before accepting. We further show that neither the unfairness labels nor baseline alignment alone reliably deters collusion: only explicit ethical framing reduces adoption and, even then, smaller models remain susceptible. More broadly, our work presents the first systematic investigation of voluntary collusion adoption in LLM-based multi-agent systems, and suggests that preventing such behaviour requires explicit safeguards rather than reliance on general alignment.
Another Company Trades AI Layoffs For Stock Price - 24/7 Wall St.
It has become a pattern. A public company lays off employees and says it has found new efficiencies due to AI. Its stock trades higher immediately. This happened yesterday. The job loss count was modest. Groupon (NASDAQ: GRPN) cut 400 people, but the cut was high relative to its overall employee ...
Google engineer charged with using inside information to win $1.2M on Polymarket
# Google engineer charged with using inside information to win $1.2M on Polymarket Published: 2026-05-27T23:35:52.490000+00:00 Source: washingtonpost.com (washingtonpost.com) Language: en ## Story A software engineer at Google unlawfully used confidential company information to make a series of bets that won him about $1.2 million on the online prediction market Polymarket, the Justice Department alleged in a criminal complaint Wednesday.
US judges stay true to ‘substantial similarity’ test in weighing AI output claims
US judges are continuing to find that copyright owners must plausibly allege substantial similarity to sustain claims of derivative AI outputs.
Anthropic Dreaming Is a Markdown Rewriter — The Vendor Lock-In Is Real | by Jaroslaw Wasowski | May, 2026 | Medium
Anthropic Dreaming Is a Markdown Rewriter — The Vendor Lock-In Is Real | by Jaroslaw Wasowski | May, 2026 | Medium Sign up Get app Sign up Press enter or click to view image in full size Member-only story # Anthropic Dreaming Is a Markdown Rewriter — The Vendor Lock-In Is Real ## Anthropic Dreaming exposes five agent memory primitives as a vendor API. A comparison with Mem0, Letta, APEX-MEM, and Vertex AI Memory Bank — plus a DIY blueprint. 14 min read 1 day ago -- Share “The dream does not become Claude. It becomes context for Claude.” — Carlo Iacono, Hybrid Horizons (May 9, 2026) Harvey, one of the leading legal-AI firms, reports that enabling Anthropic Dreaming caused its agents to complete tasks six times more often. Anthropic published that number on May 6, 2026, at the Code with Claude conference in San Francisco. The measurement methodology was never disclosed. If yo
Global firms use AI at Indian hubs to bring more ad work in-house
# Global firms use AI at Indian hubs to bring more ad work in-house Published: 2026-05-27T14:33:20.642000+00:00 Source: reuters.com (reuters.com) Language: en ## Story AI (Artificial Intelligence) letters are placed on computer motherboard in this illustration taken, June 23, 2023. REUTERS/Dado Ruvic/Illustration/File Photo Purchase Licensing Rights , opens new tab BENGALURU, May 27 (Reuters) - Global companies are using AI at their Indian hubs to bring more creative work in-house, cutting turnaround time and their reliance on external agencies for advertising as the new technology reshapes the ad industry. Executives at Kimberly-Clark, J.C. Penney-parent Catalyst Brands and Target India told Reuters that their global capability centers in the country are using AI tools across marketing functions - from generating product images and videos to selecting influencers and optimizing c
Short-Term Gain, Long-Term Fragility: AI Labor Substitution and the Erosion of Sustainable Capability
arXiv:2605.27399v1 Announce Type: new Abstract: What looks like acceleration can be a quiet transfer of burden from the present to the future. Attempts to replace human labor with AI systems are often presented as rational responses to technological progress, but that view is often structurally short-sighted. Across software development and adjacent knowledge industries, AI is increasingly attractive because it appears to reduce labor costs, speed output, and improve short-term metrics. Yet those gains may be achieved by drawing down human capabilities that are slow to build and difficult to restore. This paper develops a mechanism of capability masking and capability erosion under AI labor substitution. AI-generated output can create the appearance that organizational capability has been replaced, even when dependence on skilled human labor remains. That appearance can support hiring restraint while slower costs accumulate in the background. Evidence from AI-assisted coding shows that generated output still requires substantial human verification and remains uneven in correctness, maintainability, and security. Repository-level studies also suggest limits in handling broader codebase context. More broadly, labor-market, political-economy, and industrial-strategy evidence suggests that substitution pressures are being driven by managerial cost incentives and national competition while increasing risks of concentration and platform control. The result is a system that may look more efficient in the short term while becoming more fragile over time.
Smaller, Younger, and More Impactful: How AI-Assisted Writing Transforms Research Teams
arXiv:2605.27404v1 Announce Type: new Abstract: The era of Big Science has long been defined by increasingly large and specialized research teams pushing the frontiers of knowledge. However, recent advances in artificial intelligence (AI), particularly large language models (LLMs), are beginning to reshape academic writing and scientific research, potentially disrupting the longstanding trend toward ever-larger teams and transforming other dimensions of research team structure. Drawing on 147,074 full-text publications from the PLoS family and the Nature portfolio since 2020, we examined whether and how AI-assisted writing influences team structure and team outcomes in science. Using multiple methods, including ordinary least square, quantile regression, Poisson regression, logistic regression and propensity score matching, we found that research teams using AI-assisted writing tend to be younger and smaller. Importantly, this shift toward more compact, junior-leaning teams does not come at the expense of scientific impact. On the contrary, we observed a higher probability of research teams that employed AI-assisted writing producing highly impactful publications. These results highlight the significant role of AI-assisted writing in reshaping not only how research is produced, but also how research teams are formed and assembled. Our findings call for policy improvements in research evaluation, funding, and training to address this emerging trend.
Human-AI Collaboration for Estimating Scientific Replicability
arXiv:2605.27394v1 Announce Type: new Abstract: Determining whether published scientific findings can successfully be replicated is a long-standing challenge in the empirical sciences. Existing approaches for replicability assessment typically rely either on human judgment, i.e., creative assembly of human experts, or on machine learning models trained on paper content metadata. While both approaches have demonstrated value, each also has important limitations. Human forecasts can be influenced by cognitive biases and narrow exposure to the research literature, while automated assessments often struggle to capture contextual cues and subtle signals of credibility. In this paper, we examine a hybrid approach. Specifically, we introduce a hybrid prediction market in which algorithmic agents trade alongside human participants to jointly estimate the likelihood that a published scientific finding will be corroborated via the outcome of a controlled replication study. Agents are trained on outcomes from hundreds of prior replication studies while human participants contribute domain knowledge through real-time trading. We evaluate this hybrid approach through multiple live experiments involving participants from different academic disciplines and compare its performance to artificial-only and human-only baselines. Our results show that, except for a few cases, hybrid markets match or outperform artificial prediction markets, producing more accurate and reliable replication forecasts.
Cognition\'s 26B valuation shows investors still want autonomous coding agents - Startup Fortune
Cognition has raised more than 1 billion at a 26 billion valuation, underscoring investor belief that autonomous coding agents, not just copilots, are the next
Lovo files for Chapter 7 bankruptcy in US amid AI voice-cloning lawsuit
Voice generation company Lovo Inc. has filed for Chapter 7 bankruptcy shortly before scheduled motion-to-dismiss arguments in a lawsuit brought by voice actors over alleged illegal voice cloning.
Labor, Society & Culture
Who Uses AI? Platform Selection and the Measurement of Occupational AI Exposure
arXiv:2605.21743v2 Announce Type: replace-cross Abstract: Conversation logs from AI platforms are increasingly used to measure occupational exposure to artificial intelligence, but the users observed in these logs are not the workforce. We show that platform-derived exposure scores combine task-level AI applicability with the occupational composition of the platform's user base. Holding the empirical design fixed, changing only the platform input changes the post-ChatGPT employment coefficient by a factor of 1.9, and consumer and enterprise channels within the same vendor disagree in sign. We formalize the resulting non-classical measurement error, decompose it into between- and within-occupation selection, and construct workforce-reweighted partial-identification bounds. Reweighting to Bureau of Labor Statistics employment shares attenuates estimates by 42 to 93 percent. The bias captures augmentation among observed users more directly than substitution in the workforce.
Phoenix Built an Empire of Cubicle Jobs. AI Is Coming to Tear It Down.
# Phoenix Built an Empire of Cubicle Jobs. AI Is Coming to Tear It Down. Published: 2026-05-27T01:00:00+00:00 Source: wsj.com (wsj.com) Language: en ## Story PHOENIX—All around this desert city’s sprawling metro area, low-rise office parks with tinted windows and vast parking lots stretch to the horizon. This is America’s back office. Abundant land and cheap labor made Phoenix a premier place for companies to stash lower-paid office workers who don’t need to be physically close to clients or headquarters. The cubicle-based jobs—customer service, data entry, payroll processing—created a vital ladder to the middle class, helping replace factory work lost to overseas competition. Now, these white-collar jobs are fading, too, thanks to continued offshoring and, increasingly, artificial intelligence. Tens of thousands of local workers suddenly face an uncertain future. A test grader saw
UBS’ Khan Says AI Will Impact Jobs While Aiding Productivity - Bloomberg
UBS Group AG’s Asia Pacific President Iqbal Khan said artificial intelligence will free up capacity and improve productivity but also have an impact on jobs.
AI & Tech Brief: The techno-optimist’s case
# AI & Tech Brief: The techno-optimist’s case Published: 2026-05-27T19:00:36.561000+00:00 Source: washingtonpost.com (washingtonpost.com) Language: en ## Story I interviewed David George, general partner at Andreessen Horowitz, regarding narratives around AI jobs displacement and the “permanent underclass.” George argues that the AI revolution will augment workers, not substitute them.
Champion ethical hacker warns AI tools like Mythos will make competing harder
Chompie, one of the world's tops ethical hackers, says AI like Claude Mythos will make it harder for people like her to compete.
OECD Finds Human Judgement and Social Skills Still Hardest for AI to Replace | Technology
OECD Finds Human Judgement and Social Skills Still Hardest for AI to Replace | Technology - Knowledge Partnership - Media Partnership # OECD Finds Human Judgement and Social Skills Still Hardest for AI to Replace ## A new OECD report warns that AI is rapidly transforming jobs, with clerical and routine office roles facing the highest exposure as AI systems become better at language, information processing and repetitive tasks. However, occupations requiring human judgement, social interaction, creativity and physical adaptability remain far harder for AI and robotics to replace. CoE-EDP, VisionRI| Updated: 27-05-2026 09:53 IST | Created: 27-05-2026 09:53 IST Representative Image. - SHARE --- A major new report from the Organisation for Economic Co-operation and Development (OECD) says artificial intelligence is rapidly transforming the global workforce, with office and administra
Job Outlook: Employers Prioritize Sales, Customer Experience and AI Skills - CPA Practice Advisor
In a tougher economic environment, organizations are prioritizing the capabilities that drive revenue, strengthen resilience and help manage risk.
’My job is going’: U.K. workers squeezed out by AI - The Japan Times
’My job is going’: U.K. workers squeezed out by AI - The Japan Times Subscribe - Iran war endgame - Philippines-Japan summit - “Tokuryu” crime - Latest News Subscribe for more access # ’My job is going’: U.K. workers squeezed out by AI People protest in San Francisco, California, calling for a pause in AI development, on March 21. In the U.K., the IMF estimated in 2024 that more than two-thirds of British workers perform tasks that AI could potentially carry out. | Reuters London – When a client asked her a year ago to design a glossary to train an artificial intelligence system, translator Jessica Spengler realized she was going to train her own replacement. “That was the day I really thought ... my job is going,” said the 52-year-old, who translates into English for German educational and historical organizations. In the U.K., where services account for around 80% of the econom
Sam Altman nuances the impact of AI on the labor market - Cointribune
Sam Altman revises the impact of AI on employment: limited disruptions and gradual adoption of generative technologies.
#microsoft #claudecode #ailayoffs #bigtech #uber #nvidia #samaltman #openai #aicosts #aibudget #artificialintelligence #whitecollarjobs #technews #aispending #microsoftai #futureofwork… | CNBC-TV18
# #microsoft #claudecode #ailayoffs #bigtech #uber #nvidia #samaltman #openai #aicosts #aibudget #artificialintelligence #whitecollarjobs #technews #aispending #microsoftai #futureofwork… | CNBC-TV18 Published: 2026-05-27T09:57:28+00:00 Source: linkedin.com (linkedin.com) Language: en ## Story #microsoft #claudecode #ailayoffs #bigtech #uber #nvidia #samaltman #openai #aicosts #aibudget #artificialintelligence #whitecollarjobs #technews #aispending #microsoftai #futureofwork… | CNBC-TV18 Agree & Join LinkedIn By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy. 198,995 followers 17m Big Tech spent years telling us AI would change everything. Now they're quietly pulling the plug on their own employees. Microsoft is canceling Claude Code licenses for thousands of engineers working on Windows, Teams, and M365, with a Jun
The AI Cohesion Paradox: Why AI-Empowered Teams Cooperate Less — And What Leaders Can Do About It
The AI Cohesion Paradox: Why AI-Empowered Teams Cooperate Less — And What Leaders Can Do About It # Sovereign Agentic AI (Volodymyrs View) SubscribeSign in Sovereign Agentic AI (Volodymyrs View) Podcast The AI Cohesion Paradox: Why AI-Empowered Teams Cooperate Less — And What Leaders Can Do About It 1 0:00 -14:59 Audio playback is not supported on your browser. Please upgrade. ## The AI Cohesion Paradox: Why AI-Empowered Teams Cooperate Less — And What Leaders Can Do About It May 27, 2026 1 Share Transcript # The AI Cohesion Paradox ## Why AI-Empowered Teams Cooperate Less — And What Leaders Can Do About It Volodymyr Pavlyshyn | Sovereign Agentic AI --- “The human is not the island.” We repeated that for decades. It turns out we were wrong — or at least, AI is proving we can be. Something quietly changed in the organizations that moved earliest and fastest on AI. Their
PwC: Only 36% of African Companies Trust AI for Decision-making | Tech | Business | Economy
PwC: Only 36% of African Companies Trust AI for Decision-making | Tech | Business | Economy Wednesday, May 27, 2026 No Result View All Result - Macro Monday - TE Insights Wednesday, May 27, 2026 No Result View All Result No Result View All Result # PwC: Only 36% of African Companies Trust AI for Decision-making ## The report, Decoding ROI from AI in Africa, highlights a significant confidence gap between African businesses and global AI leaders Reading Time: 3 mins read Despite continued investment in artificial intelligence (AI) across Africa, only 36 per cent of organisations on the continent trust AI-generated insights enough to use them in business decision-making, according to a new report by PwC. The report, Decoding ROI from AI in Africa, highlights a significant confidence gap between African businesses and global AI leaders, where 60 per cent of organisations say e
Insider and stealth trading with dynamic legal risk
arXiv:2605.27684v1 Announce Type: new Abstract: The present paper investigates how insiders strategically navigate ongoing legal risk while leveraging stealth trading within a continuous-time Kyle-type framework. Legal enforcement operates concurrently with trading, which dynamic can be adversely obscured by a large surrounding population of noise traders. While surveillance intensity responds directly to the insider's trading intensity, triggering a random prosecution time, the resulting legal sanctions encompass both strategy-focused criminal penalties and profit-dependent civil penalties. Employing a new impact-neutral measure change, equilibrium analysis shows that even after achieving stealth, the insider internalizes regulatory exposure, and enforcement can significantly shape equilibrium trading strategies. The associated limiting equilibria yield a rich set of outcomes, with three key insights for regulatory impact: (i) under committed regulatory scrutiny, the insider trades a time-varying function of the discrepancy between the asset's fundamental value and its market price, and trading may intensify indefinitely near the end of the trading horizon as legal risk recedes; (ii) merely raising penalties as an advantageous selection cost proves ineffective in offsetting declines in regulatory diligence; (iii) criminal penalties remain essential for deterring aggressive insider trading, as they impose critical temporal constraints on trading intensity not achievable through civil penalties alone.
Pope’s appeal can’t change the AI race’s risky logic
Pontiff’s safety crusade runs into basic problems of game theory
Execution and assessment of agentic influence operations in simulated social networks
arXiv:2605.28725v1 Announce Type: new Abstract: This article evaluates AI-enabled influence operations in synthetic social networks through controlled simulations of narrative release, amplification, and counter-messaging. We measure exposure and belief change in agentic audiences, showing that amplification maximizes reach, counter-messaging shifts opinions most, and narrative release requires larger attacker footprints.
Cyberbullying Governance on Social Media: A Unified Framework from Content Identification to Intervention
arXiv:2605.27584v1 Announce Type: new Abstract: The proliferation of social media platforms and online communities has inadvertently catalyzed the spread of cyberbullying, hate speech, and other forms of online toxicity, making the effective governance of such harm a critical societal and computational challenge. While significant strides have been made in automating content moderation, existing research predominantly treats cyberbullying governance as passive, isolated detection at the post level. This reductionist view overlooks the continuous behavioral dynamics of users, the structural diffusion of toxic events, and the critical need for proactive mitigation. To bridge these gaps, this paper proposes a unified full-lifecycle governance framework that shifts the paradigm of cyberbullying governance from isolated static detection toward integrated, continuous, and proactive moderation. Drawing on cyberbullying research and adjacent fields, we systematically synthesize the state-of-the-art literature across four interconnected stages: (1) Content Identification, (2) User and Behavior Modeling, (3) Diffusion Dynamics and Early Warning, and (4) Intervention and Governance. Furthermore, we review available datasets and evaluation practices, and discuss emerging challenges including multimodality, explainability, algorithmic fairness, and the dual-use risks of generative AI, providing a roadmap for future research toward a safer and more resilient digital ecosystem.
You Are in Control of Your State: Why Human Outcomes Are Controllable Through Causal State Intervention
arXiv:2605.27580v1 Announce Type: new Abstract: A central puzzle for the behavioural sciences and for human-facing artificial intelligence is the persistence of within-person variability. The same individual, presented with the same observable input, produces different outcomes on different occasions, and different individuals produce divergent outcomes that no observable covariate fully predicts. We argue that this variability belongs in the dynamic latent state of the person, and that human outcomes are controllable in a precise and operational sense through interventions that target the state and its weighting at the moment a decision is being formed. We define a state as the time-indexed weighting vector over the dimensions that govern how an individual's biology, physiology, and neuropsychology process the next event into a decision and an outcome. The relationship between state, decision, and outcome is causal rather than correlational. The weighting vector is dynamic at sub-daily timescales. The conscious channel through which outcomes are reportable is a narrow attentional bottleneck whose contents are themselves state-dependent. Taken together, these claims imply that the outcome of a given event is controllable, conditionally, on the state-trajectory at the time of intervention. We motivate the framework with six strands of established evidence (causal inference, predictive processing, allostasis, attentional bottleneck, chronobiology, computational psychiatry) and a 24-month observational base from a deployed behavioural platform spanning more than 200,000 consented users across four occupational personas (research period 2023 to 2026). We derive seven testable predictions, list six operational requirements for state-aware systems, and discuss implications for digital health, education, AI personalisation, and personal agency.
AI Daily Update May-27-2026. Global AI highlights (last ~24 hours) | by Stephen Stanley | May, 2026 | Medium
AI Daily Update May-27-2026. Global AI highlights (last ~24 hours) | by Stephen Stanley | May, 2026 | Medium Sign up Get app Sign up # AI Daily Update May-27-2026 4 min read 1 day ago -- Share Press enter or click to view image in full size ## Global AI highlights (last ~24 hours) • AI warfare concerns intensify as military deployment accelerates Source: The Verge | Published: 27 May 2026 Context: The Verge reports growing concern over the operational deployment of AI-enabled military systems following expanded use of AI-supported targeting, surveillance, and battlefield analysis capabilities linked to projects such as the Pentagon’s Maven Smart System. The article highlights increasing tensions between defence priorities, frontier AI companies, and attempts to impose ethical restrictions on autonomous systems. Why it matters: The debate around AI governance is increasingly
Agentic Literacy Debt: A Structural Problem the AI Literacy Field Has Not Yet Named
arXiv:2605.27396v1 Announce Type: new Abstract: Autonomous AI agents now plan, decide, and act on behalf of users across healthcare, financial services, and workplace contexts, often without step-by-step human approval. Existing AI literacy frameworks were built for a world in which humans evaluate AI outputs and decide whether to act; they have no vocabulary for the user who has delegated decision-making authority to an agent whose actions may not be observable, reversible, or controllable. This paper names the resulting problem agentic literacy debt: the accumulating societal deficit that grows when agentic AI systems are deployed at scale without corresponding literacy infrastructure. The debt compounds through three reinforcing channels (normalization of opaque delegation, multi-agent ecosystem complexity, and institutional path dependence), and it is incurred by the organizations that deploy agents but paid by the users, patients, and citizens on whose behalf the agents act. Evidence from healthcare, financial fraud, and global equity contexts suggests the gap is already consequential. The problem is structural, not a temporary lag that curriculum reform will close. It demands a reframing of AI literacy as a governance capability, not an evaluative one.
Learning after COVID-19 and the ICT career aspirations: Are students entering the AI era with weaker skills?
arXiv:2605.27391v1 Announce Type: new Abstract: This paper examines whether students are entering the generative AI era with sufficiently strong educational foundations, focusing on the relationship between learning environments and changes in ICT related career aspirations across countries. The analysis uses country-level data from PISA 2018 and 2022, combining indicators of student autonomy, digital skills and teacher support. A mixed-method approach is applied, including descriptive statistics, regression analysis, clustering, latent representation learning (using Variational Autoencoder-VAE), discriminant analysis and probabilistic modeling to capture both observable and latent dimensions of educational readiness. Unlike prior research that treats learning loss, digital skills and career expectations separately, our analysis integrates them within a comparative longitudinal framework. It shifts the focus from short-term post-pandemic effects to the structural capacity of education systems to prepare students for digital and AI-driven labor markets. Results show a global but uneven increase in ICT career aspirations. Digital skills emerge as the strongest and most consistent predictor, while teacher support plays a complementary role. Autonomy shows weaker, context-dependent effects. Educational readiness is multidimensional, and ICT aspirations evolve relatively independently from other career domains.
Teachers lack formal AI guidance for learning and instruction, Gallup finds | K-12 Dive
Teachers in higher-needs schools were less likely than those in wealthier schools to have received guidelines, echoing previous research.
Govt partners industry to revamp AI curriculum to bridge skill gap
The Government is working on a comprehensive overhaul of the Artificial Intelligence (AI) curriculum to align academic learning with emerging technological trends and industry requirements.
Why Students Need Both Soft Skills and AI Skills for Future Careers
Workplaces of the future are changing rapidly. Thanks to AI and automation, industries all over the world will change how corporations staff, work and grow. Corporations have realized that AI-focused...
Council Post: HR Tech’s Next Shift Isn’t About AI Features; It’s About Action
The systems organizations choose will increasingly shape how work gets coordinated, how decisions get made and how demand capability gets built. Second, capability is becoming the real constraint. From what I see, most organizations are investing faster in AI tools than in helping managers and ...
The Most AI-Fluent People Are Being Filtered Out Before They Even Land a Job
The Most AI-Fluent People Are Being Filtered Out Before They Even Land a Job Armand Burger The future of brands gets decided here. Join the industry’s top marketers at Brandweek for the ideas, insights, and connections shaping what’s next. Get your ticket. Twenty-three years ago, I walked off a stage with a master’s degree and into an economy that was rewriting itself. Roles that had barely existed before suddenly roared into life: interactive designer or information architect. As a young consultant doing change management, I taught people how to use new technology and redefine their jobs around it. Though some jobs were eliminated. During that time, curious leaders hired curious people because curiosity was the only credential that kept up with the pace of change. This year, my cousin turns 23, the same age I was when I walked off that stage. He graduated last year and luckily sta
In 2026, how might engineers ‘get noticed’ by large tech organisations?
SiliconRepublic.com spoke with experts from Yahoo Mail about standing out in a competitive field and the opportunities open to jobseekers. Read more: In 2026, how might engineers ‘get noticed’ by large tech organisations?
Technology & Infrastructure
Robinhood opens platform to AI agents for trading, credit card purchases | Reuters
AI agents are digital assistants that go beyond chatbot-style prompt responses by autonomously planning and making their own decisions.
Discovery Agents for Real-Time Analytics: Toward Proactive Insight Systems
arXiv:2605.27571v1 Announce Type: new Abstract: Modern analytics systems are fundamentally reactive, requiring users to define queries over increasingly complex and continuously evolving data. In real-time streaming environments, this paradigm breaks down, as the space of potential insights becomes too large to enumerate manually. We present a multi-agent architecture for autonomous insight discovery over real-time data streams. The system implements a continuous discovery loop in which agents generate hypotheses, compile them into executable analytics, validate generated artifacts, and produce visualizations and deployable applications. The architecture leverages Apache Kafka for event-driven coordination, Apache Flink for stream processing, and large language models to implement specialized agents. A key contribution is a contract-driven design based on typed intermediate artifacts, enabling modularity, observability, lineage, and safer execution of dynamically generated analytics. Through use cases in retail, finance, and public data, we show how this architecture supports a shift from query-driven analytics to proactive, discovery-driven systems.
DynaSchedBench: Calibrated Dynamic Scheduling Benchmarks and Observability Paradox in LLM-based Scheduling Agents
arXiv:2605.27566v1 Announce Type: new Abstract: Progress in neural combinatorial optimization for Dynamic Flexible Job Shop Scheduling Problem (DFJSP) is currently hindered by a methodological tension: static benchmarks encourage benchmark overfitting, while uncalibrated generators obscure algorithmic capability with stochastic noise. To resolve this, we introduce \textbf{DynaSchedBench}, a diagnostic framework for DFJSP that rigorously controls the instance-generation process. Instead of relying on parameter sampling, our approach utilizes Sequential Event-Space Calibrator (SESC) that computes a novel Schedule Stress Index (SSI) to stratify instances by difficulty. We demonstrate that SESC is substantially more computationally efficient than evolutionary baselines while converging reliably to the target metrics. The framework integrates modular components for instance generation, snapshot-based simulation, agents, evaluation, and visualization, thereby enabling rigorous testing of reactive and lookahead-based policies. Leveraging this calibrated environment, we identify key limitations of LLM-based scheduling agents. Specifically, in step-wise online decision-making for dynamic scheduling, we identify an ``Observability Paradox'': providing agents with oracle access to full structural information can degrade policy performance, underperforming concise information. Furthermore, despite substantial token overhead, tool-augmented and refinement strategies fail to reliably improve performance, and most LLM agents fail to consistently surpass strong dispatching baselines-behaving more like robust heuristic approximators than superior optimizers.
Agyn: An Open-Source Platform for AI Agents with Scalable On-Demand Execution, Agent Definition as a Code, and Zero-Trust Access
arXiv:2605.27575v1 Announce Type: new Abstract: As organizations move toward production deployments of AI agents, which execute non-deterministic workflows, maintain stateful sessions, and often operate with privileged access to internal services, the engineering challenge shifts from building individual agents to operating them at scale with proper isolation, governance, and security. In this paper we present Agyn, an open-source platform designed around three key principles tailored for agent workloads: a signal-driven, stateful serverless runtime on Kubernetes; a Terraform provider for agent and harness definition; and a security model grounded in zero-trust and least-privilege principles. Agyn is agent-agnostic, model-agnostic, and cloud-agnostic.
Agents on a leash: Agentic AI remains mostly single-agent and monitored at work - Stack Overflow
Agents on a leash: Agentic AI remains mostly single-agent and monitored at work - Stack Overflow Stack Internal: the knowledge intelligence layer that powers enterprise AI. Stack Data Licensing: decades of verified, technical knowledge to boost AI performance and trust. Stack Ads: engage developers where it matters — in their daily workflow. AI’s impact on software engineering continues, and more and more of that AI is packaged as agents as results from our newest pulse survey show agentic usage has almost doubled (59%) since we last asked about it in our annual Developer Survey. Companies are scrambling to provide agent harnesses, infrastructure, and applications, but we wanted to know whether people were actually using agents in their daily work. Our latest pulse survey shows AI agent usage has nearly doubled since last year, jumping from 31% to 59%, but total agent takeover is no
Canadian firms slow to employ AI agents, survey shows - The Logic
Canadian firms slow to employ AI agents, survey shows - The Logic Canada's Business and Tech Newsroom - Professional Subscription - Partnerships & Advertising - Licensing & Syndication May 27, 2026 | 11:00 AM ET A A A Small A Medium A Large Share Gift Share Some 44 per cent of the executives at large and growing Canadian software companies that sell to other businesses said their companies had adopted agentic AI, according to a survey by investment firm Georgian and research firm NewtonX. Across the U.S., U.K. and Israel, the rate was 67 per cent. (The Logic) Talking point: Canadian businesses are long-standing laggards when it comes to technology adoption, and plenty of studies and reports—including Georgian’s regular surveys—have found the same for AI. The fund’s latest analysis finds Canadian companies are starting to make more sophisticated and widespread use of AI, includi
Power in modern automation: AI’s federal workforce possibilities | Federal News Network
Demonstrating how agentic AI can empower the federal workforce illustrates the art of what's possible, according to Chris Kraft, Secret Service CIO.
Intelligence as Managed Autonomy: Failure, Escalation, and Governance for Agentic AI Systems
arXiv:2605.27628v1 Announce Type: new Abstract: As autonomous and agentic AI systems scale in robotic and human-machine environments, managing hallucination and persistent but unjustified action remains an open challenge. Rather than attributing these failures solely to model or alignment limitations, this paper explores the architectural vulnerability of unbounded autonomy - the presumption that an agent should continue operating regardless of rising uncertainty. It introduces a theory of managed autonomy that defines intelligent behavior through the formal capacity to detect epistemic drift, suspend reasoning, attempt recovery, and ultimately surrender control when reliability diminishes. We instantiate this theory via the SMARt (Self-Managing Multi-tier Autonomous Reasoning with Regulated/Revoked transitions) model, a four-layer framework featuring Stable, Meta-cognitive, Assisted, and Regulated states. By developing a timed, guarded Petri net formulation, we establish theoretically bounded properties for the system, demonstrating how architecture can formally mandate escalation, constrain invalid outputs, and ensure governance reachability under specified conditions. We further analyze how incorporating domain-specific trigger sets across varied operational settings (e.g., healthcare, robotics, etc.) can systematically preserve safety, assuming completeness and soundness criteria are met. Because these triggers are designed to be adaptive, the SMARt model accommodates the safe, controlled expansion of an agent's operational scope over time. We conclude that formalizing failure management within the autonomy lifecycle is a crucial step toward realizing reliable and governed artificial intelligence.
From Search Engines to Autonomous Agents: AI industry enters its next phase - The Economic Times
The AI industry is rapidly shifting ... AI” systems capable of independently executing complex tasks across workflows and applications. Companies including OpenAI, Microsoft, Google, and Salesforce are leading investments in AI agents designed to automate research, customer support, scheduling, and enterprise operations. The shift is expected to redefine productivity, workplace automation, ...
Reasoning and Planning with Dynamically Changing Norms
arXiv:2605.27622v1 Announce Type: new Abstract: To safely interact with humans, AI agents must both know our norms and consider them during planning. However, such norm-guided planning has been less explored, only within communities of artificial agents, and has ignored the dynamic nature of norms. This paper instead presents an approach to guiding planning with dynamically changing norms in a human-AI setting. We contribute a defeasible calculus for resolving normative conflicts and an approach to using such dynamically changing norms as guard rails on plans. We theoretically demonstrate our approach with formal proofs and empirically with an AI agent, SocialBot, on a natural language dialogue task.
The Shift: Code, Context & Conversational Search
The Shift: Code, Context & Conversational Search SubscribeSign in # The Shift: Code, Context & Conversational Search ### The era of "more is better"—whether that means bloating your codebase, drowning search engines in programmatic AI content, or treating LLMs as simple text boxes—is officially over. SWIPE and Nebojsa Radakovic May 27, 2026 2 Share I’m not sure yet what to make of what has happened over the last two weeks, but… it looks like a hyper-focused race toward lean, multi-agent orchestration and high-authority "evidence layers" that prioritize deep, systemic value over cheap volume. Devs are shifting toward optimizing velocity and systemic security by balancing the use of AI tools with strict controls against vulnerabilities. This trend also includes a practical pushback against architectural bloat, favoring lightweight stacks and unified engines to build fast, secure s
Tokens Are the New Oil: Why the AI Economy is Facing its First Massive Energy Crisis.
But inside the engineering nerve centers of Microsoft or Uber, humans are no longer typing queries into chat boxes. They are building automated, recursive pipelines. A top-tier engineer today is a manager of AI workflows.
China plans to embed AI in energy infrastructure to optimise power grid efficiency | South China Morning Post
Alibaba Cloud is the AI and cloud computing unit of Alibaba Group Holding, owner of the South China Morning Post. The announcement comes as soaring electricity demand from energy-intensive AI computing becomes a growing constraint worldwide. In China, the government is responding by accelerating efforts to embed the technology directly into energy infrastructure, aiming to manage surging power consumption ...
5 companies building energy-efficient infrastructure for physical AI
5 companies building energy-efficient AI infrastructure for robotics, edge systems, and Physical AI deployment at scale.
Tech giants back data center climate initiative
Microsoft, Google, Amazon, and Meta are partnering with a nonprofit to use data centers as testing grounds for advanced cooling, energy storage, and low-carbon building materials.
AI boom squeezes optical tech and Huawei makes a chip comeback
The inside story on the Asia tech trends that matter, from Nikkei Asia and the Financial Times
HUAWEI Presents the Tau Scaling Law, Enabling Breakthroughs in Transistor Density and System Performance | Morningstar
HUAWEI Presents the Tau Scaling Law, Enabling Breakthroughs in Transistor Density and System Performance | Morningstar HUAWEI Presents the Tau Scaling Law, Enabling Breakthroughs in Transistor Density and System Performance ## HUAWEI Presents the Tau Scaling Law, Enabling Breakthroughs in Transistor Density and System Performance PR Newswire BEIJING, May 27, 2026 BEIJING, May 27, 2026 /PRNewswire/ -- A news report from China Daily: On Monday, at the 2026 IEEE International Symposium on Circuits and Systems (ISCAS) in Shanghai, He Tingbo, President of HUAWEI's Semiconductor Business Department, presented the Tau (τ) Scaling Law, a proposed successor to Moore's Law for guiding semiconductor development. This law proposes replacing geometric scaling with time (τ) scaling as a new guiding principle for the evolution of both semiconductors and electronic systems. Based on this principl
The AI Religion Meets Survey Gravity | Investing.com
The AI Religion Meets Survey Gravity | Investing.com +35% in May and climbing, these stocks are riding the AI infrastructure boom Oil prices sink amid U.S.-Iran negotiations, Hormuz deal hopes Micron joins $1 trillion club; Iran talks in focus - what’s moving markets Asia stocks: Japan, S.Korea hit records on Wall St tech rally; Iran fears persist # The AI Religion Meets Survey Gravity Published 05/27/2026, 02:43 AM The AI Religion Meets Survey Gravity View all comments (1)1 Follow - • The AI rally is increasingly being held together by intensity of usage rather than broad mass adoption. Power users, developers, and enterprise workflows are consuming exponentially more compute even as wider societal adoption remains surprisingly slow. - • Markets are pricing the AI infrastructure boom as if a full economic transformation is imminent, but most household and business surveys stil
AI Data Center Demand Pushes Global DRAM Revenue to Record High in Q1 2026 - InfotechLead
The DRAM industry delivered record-breaking growth in Q1 2026 as soaring artificial intelligence infrastructure demand and memory prices
Rising AI Infrastructure Demand Puts Indian Optical Fibre Stocks Like Sterlite Tech And HFCL In Spotlight - Best Stock Market Blogs & Investment Insights | Equentis
The growing demand for AI ... telecom infrastructure companies across the world. In India, stocks like HFCL and Sterlite Technologies have entered the spotlight as investors evaluate the long-term impact of AI, cloud computing, and digital connectivity expansion. The combination of AI-driven data growth, rising data center investments, ...
The New AI Corridor: How the US, Europe, and Middle East Are Rewiring the Future of Digital Infrastructure | Morgan Lewis - Data Center Bytes - JDSupra
For decades, global infrastructure strategy revolved around oil pipelines, shipping lanes, and manufacturing hubs. Today, a new geopolitical network built on fiber networks, power grids,...
Armenia Activates Supercomputer, Vying for Global AI Hub Status - BriefGlance.com
With a new $120M AI factory powered by NVIDIA's latest chips, Armenia is making a bold play for technological sovereignty and a spot on the global AI map.
Nvidia Pledges $150 Billion a Year in Taiwan: Constellation Campus Breaks Ground
Taiwan's Taiex stock index reflected ... — with semiconductor and supply-chain names leading the advance. South Korea's SK Hynix and U.S. memory maker Micron both crossed the $1 trillion market-capitalization threshold on the same day, underscoring the breadth of the AI hardware ...
Nuclear Power Startup Newcleo to Go Public in SPAC Deal
The deal, which values the developer at about $2.4 billion, follows a wave of nuclear companies going public to serve AI’s surging power needs.
Arm moves into the heart of the cloud stack
Hyperscaler adoption and AI workloads are accelerating multi-architecture infrastructure
Bare metal cloud servers now cheaper and more readily available than on-prem hardware, says Nutanix CEO
Hyperscalers can get hardware before enterprise vendors and buyers don't much care where they land
Argonne flexes spare supercompute to build private AI inference service
Think ChatDoE
Europe’s AI Compute Gap Is Now an Industrial Policy Test | The Economy
# Europe’s AI Compute Gap Is Now an Industrial Policy Test | The Economy Published: 2026-05-27T22:57:15+00:00 Source: economy.ac (economy.ac) Language: en ## Story Europe’s AI Compute Gap Is Now an Industrial Policy Test | The Economy Skip to main content - Home - AI Infrastructure, Energy & Compute - Europe’s AI Compute Gap Is Now an Industrial Policy Test # Europe’s AI Compute Gap Is Now an Industrial Policy Test Picture Real name The Economy Editorial Board Bio The Economy Editorial Board oversees the analytical direction, research standards, and thematic focus of The Economy. The Board is responsible for maintaining methodological rigor, editorial independence, and clarity in the publication’s coverage of global economic, financial, and technological developments. Working across research, policy, and data-driven analysis, the Editorial Board ensures that published pieces re
Why Open Architectures Are Critical to Enterprise AI - Paid Program
Paid Program: Why Open Architectures Are Critical to Enterprise AI # Why Open Architectures Are Critical to Enterprise AI As AI scales across the enterprise, open ecosystems are becoming essential for flexibility, integration and innovation. With companies increasingly integrating artificial intelligence into their core processes, getting their tech stack ready has never been more critical. If they don’t prioritize an open architecture and flexibility today, they might run into constraints down the line. “A tightly coupled, vertically integrated stack—where the vendor limits the software and hardware that works with their systems—can provide simplicity in the short run, but it can be restrictive as companies expand their AI use, innovate and seek to integrate new tools,” says Maribel Lopez, principal analyst at tech-industry analysis firm Lopez Research. “The biggest advantage of a
AI energy forecasts may be missing large-scale inference demand — EA Forum
The model should therefore be read less as a forecast and more as an initial exploration of whether large-scale inference-driven energy demand could become increasingly binding. Lastly, my expertise lies in engineering and energy. I am more of a newcomer to compute and AI infrastructure.
Datacentre dive: AI factory power draw changes the grid calculus | Computer Weekly
But water use will likely decrease. We look at energy as the key driver – and bottleneck – in development and why water use is less of an issue now datacentres aren’t like a VW Beetle
The LLM Doesn't Matter Anymore
The LLM Doesn't Matter Anymore # From The Ground Up with Max Mitcham SubscribeSign in # The LLM Doesn't Matter Anymore ### The 2026 fight isn't which model is smartest. It's the infrastructure underneath it. May 27, 2026 Share Every founder I talk to is still picking a side in the wrong war. GPT vs Claude vs Gemini. Whoever shipped the smartest model this week. I think that’s already over. Not because the models stopped mattering, but because the gap between them stopped mattering. Pick any frontier LLM in 2026 and it will perform incredibly well if you wrap the right infrastructure around it. Pick the smartest model on earth and feed it nothing about your business or your market, and it will still produce slop. The actual fight is two layers underneath the model: the context engine you build to feed the agent, and the memory system you scaffold around that context. Skills sit o
AtlasEdge secures €1.2bn financing facility
European data center firm AtlasEdge has secured €1.2 billion ($1.39bn) in new financing. Announced this week, the seven-year facility provides €738 million ($857m) in committed debt financing and a further €500m ($580.6m) uncommitted accordion. – AtlasEdge The company said the transaction is the largest in its history and will be used to accelerate its European […]
NVIDIA Vera Rubin and the Future of Agentic AI Infrastructure
NVIDIA Vera Rubin are gaining attention as the foundation for the next wave of AI innovation
Compute Reality of Artificial Intelligence in Global Health LMICs - ICTworks
AI is not just a model. AI is compute, cloud, chips, data centers, energy, procurement power, cybersecurity, and governance.
How Data Centers Became the New Front Line of AI Power | HackerNoon
# How Data Centers Became the New Front Line of AI Power | HackerNoon Published: 2026-05-27T06:06:28+00:00 Source: hackernoon.com (hackernoon.com) Language: en ## Story How Data Centers Became the New Front Line of AI Power | HackerNoon New Story # How Data Centers Became the New Front Line of AI Power by tt May 27th, 2026 TLDR GPTZero AI Detection Model 3.7bWe are confident this text is entirely human.GPTZero is hiring engineers and expanding their team to build the verification layer for the internet. Join now Your browser does not support the`audio` element. bytt@ttassos 5 Anastasios (Tasos) Tassos — GM at 7projectsAI & BCLA, Founder of GeopoliticsOfAI.com, MBA Lecturer & PhD(c) in IR Subscribe GPTZero AI Detection Model 3.7bWe are confident this text is entirely human.GPTZero is hiring engineers and expanding their team to build the verification layer for the internet
Are robots nearing their ChatGPT moment? – podcast
Last month at Beijing’s half marathon, a robot named Lightning beat the human world record by nearly seven minutes. It’s the latest in a string of AI-powered milestones that have got people wondering whether robots are about to enter our everyday lives, just as chatbots have. And the country leading the charge is China, where the government has pledged to invest more than £100bn in robotics over the next 20 years. To find out how robots are already entering the workforce, and what needs to happen to get them cleaning our homes and weeding our gardens, Ian Sample hears from the Guardian’s senior China correspondent, Amy Hawkins, and from Nathan Lepora, professor of robotics and AI at Bristol University, who researches how robots can achieve human-like dexterity Clips: Global News, BBC, CGTN Continue reading...
China overhauls world’s biggest surveillance network with advanced AI
Local police forces are modernising the country’s ageing infrastructure with more powerful tracking systems
Zuckerberg's philanthropic venture unveils AI world model for drug discovery
# Zuckerberg's philanthropic venture unveils AI world model for drug discovery Published: 2026-05-27T12:03:51.230000+00:00 Source: reuters.com (reuters.com) Language: en ## Story Meta Platforms CEO Mark Zuckerberg arrives outside court to take the stand at trial in a key test case accusing Meta and Google's YouTube of harming kids' mental health through addictive... Purchase Licensing Rights , opens new tab May 27 (Reuters) - Biohub, a philanthropic venture of Meta CEO Mark Zuckerberg and his wife, Priscilla Chan, launched on Wednesday a world model of protein biology to accelerate drug discovery. Proteins are the body's essential molecular machinery, performing diverse roles from building structures to generating energy. But designing new proteins that are stable and effective in the body has remained a scientific challenge. Biohub said its world model is built on the fourth ge
DeepSWE blows up the AI coding leaderboard
DeepSWE has disrupted the AI coding leaderboard, crowning GPT-5.5 as a top performer while identifying a loophole in Claude Opus's benchmark performance.
Why LLMs Fail at Causal Discovery and How Interventional Agents Escape
arXiv:2605.27567v1 Announce Type: new Abstract: Causal discovery is a cornerstone of scientific reasoning, yet whether large language models can perform it reliably remains an open question. Recent benchmarks show that even fine-tuned models plateau on simple causal graphs and degrade as complexity grows, but why they fail has not been established. We prove the failure is fundamental: supervised fine-tuning, direct preference optimization, and in-context learning all produce predictors that cannot distinguish between causal graphs generating similar observational data, and any attempt to do so requires the model's internal representations to grow unboundedly, violating the very conditions under which these methods work. We formalize this as a kernel obstruction theorem, establishing that the limitation is intrinsic to the learning paradigm, \emph{not any particular model or dataset}. We propose Agentic Causal Bayesian Optimization (A-CBO), wherein a frozen language model serves as an interventional oracle answering targeted queries about intervention effects, while an external Bayesian loop concentrates beliefs over candidate graphs in logarithmically many rounds. Because the decision operates outside the space where the obstruction applies, A-CBO provably converges while the underlying model remains unchanged. On Corr2Cause, A-CBO matches fine-tuned baselines without any training. On Extended Corr2Cause, a new benchmark scaling to 24 variables with 18K test samples, A-CBO significantly outperforms both fine-tuning and preference optimization, with the advantage growing
APS: Bias-Controlled Adaptive Prototype Simulation for Population-Scale LLM Agents
arXiv:2605.27419v1 Announce Type: cross Abstract: LLM-agent simulation offers a flexible computational tool for studying population response trajectories that depend on scenario events, memory, demographics, and evolving social context. However, full multi-round simulation scales linearly with both population size and horizon, requiring every agent to query the LLM at every round. We propose Adaptive Prototype Simulation (APS), a framework that reframes scalable LLM-based simulation as a recurrent oracle-allocation problem. APS retains the designated LLM as the online transition oracle while querying adaptive core prototypes, selected singleton-tail agents, and shadow-audit agents. Prototype responses induce local response surfaces for nearby agents, reducing online LLM calls without replacing the underlying transition model. To control approximation bias, shadow-audit residual correction estimates propagation residuals for aggregate correction and future budget allocation, while tail-protected singleton routing directly queries selected isolated, heterogeneous, or high-curvature regions that are vulnerable to smoothing. Theoretically, we treat APS as an estimator for full-scale high-precision individual social simulation and decompose its errors into prototype-coverage error, shadow-audit residual-correction error, local-propagation bias, and temporal context mismatch. Under the reported protocols, APS gives lower reference-aligned distributional discrepancy than scale-oriented and same-budget baselines while reducing online LLM calls, with ablations and compact robustness checks diagnosing the main bias-control mechanisms. In a 10M-agent, multi-round public-opinion simulation, APS achieves a 381.1-fold reduction over full simulation, with reference-aligned final-round JSD of 0.094 against the corresponding full-LLM reference.
Welcome to May 26, 2026 - by Dr. Alex Wissner-Gross
Welcome to May 26, 2026 - by Dr. Alex Wissner-Gross # The Innermost Loop SubscribeSign in # Welcome to May 26, 2026 May 27, 2026 55 8 1 Share Article voiceover 0:00 -6:44 Audio playback is not supported on your browser. Please upgrade. The Singularity is now taking a power nap. CMU researchers propose in“Language Models Need Sleep” that models should periodically consolidate recent context into persistent fast weights inside SSM blocks before clearing the cache, with longer sleep yielding the largest gains on examples that demand deeper reasoning. Waking hours are doing recursive work too. The new“BenchBench” benchmark asks whether a model can write a benchmark that other strong models cannot simply clear, and GPT-5.2 currently leads as the top benchmark creator. Microsoft pushes the same recursion into agents with SkillOpt, which treats a compact natural-language skill docu
LaneRoPE: Positional Encoding for Collaborative Parallel Reasoning and Generation
arXiv:2605.27570v1 Announce Type: new Abstract: Parallel LLM test-time scaling techniques (e.g., best-of-$N$) require drawing $N>1$ sequences conditioned on the same input prompt. These methods boost accuracy while exploiting the computational efficiency of batching $N$ generations. However, each sequence in the batch is traditionally generated independently and hence does not reuse intermediate generations, computations, or observations from other sequences. In this paper, we propose LaneRoPE to enable coordination and collaboration among $N>1$ sequences at generation time. LaneRoPE involves two key ideas: (a) an inter-sequence attention mask to make sampling of sequences dependent on one another; and (b) a RoPE extension that injects positional information that captures relative positions between tokens, both within and outside a particular sequence. We evaluate our approach on mathematical reasoning tasks and find promising results: LaneRoPE enables collaboration among sequences, yielding additional accuracy gains under limited generated sequence length. Importantly, since LaneRoPE enables coordination with minimal changes to the underlying LLM architecture and introduces a negligible overhead at inference time, it is appealing to rapidly incorporate parallel reasoning into existing LLM inference pipelines.
Soro: A Lightweight Foundation Model and Chatbot for Tajik
arXiv:2605.27379v1 Announce Type: new Abstract: We present Soro, a family of Tajik-specialized conversational large language models (LLMs) designed for real-world deployment under tight compute and connectivity constraints in Tajikistan. Starting from open-weight Gemma 3 checkpoints, we perform Tajik-only continual pretraining on a curated 1.9-billion-token corpus spanning filtered web text, PDF documents, and curriculum-aligned educational materials, followed by supervised instruction tuning on 40K Tajik teacher-style examples. To enable rigorous evaluation despite the limited coverage of Tajik in standard benchmarks, we introduce a suite of Tajik benchmarks covering general knowledge, linguistic competence, and school- and university entrance-exam domains, and we open-source them on Hugging Face. Across these Tajik benchmarks, Soro substantially outperforms same-size Gemma 3 baselines while retaining strong English performance on standard datasets. We further show that FP8 and INT4 quantization of Soro preserves most Tajik-language gains while reducing memory requirements for edge deployment, supporting an ongoing education-sector pilot and planned scale-out across schools in Tajikistan.
Using Zero-Shot LLM-Generated Survey Data for Geographically Explicit Population Synthesis
arXiv:2605.27401v1 Announce Type: new Abstract: There is a growing interest in utilizing synthetic populations for a diverse range of applications. At the same time, we are witnessing a tremendous growth in artificial intelligence in all walks of life. This paper evaluates whether zero-shot large language model (LLM)-generated health survey data can serve as inputs to a conventional iterative proportional fitting (IPF) workflow for geographically explicit population synthesis. Using the 2023 Behavioral Risk Factor Surveillance System (BRFSS), we generate synthetic survey records for the U.S. states of Colorado and Mississippi with GPT-4.1 and Gemini-2.5-Pro. We use the generated data in an IPF-based synthesis pipeline and evaluate the resulting census tract-level synthetic populations against external benchmarks. Results show both LLMs capture several major state-level contrasts, indicating zero-shot generation produces geographically differentiated survey data. However, performance is strongly variable-dependent. Downstream effects in population synthesis are mixed, as IPF sometimes amplifies or reduces errors in the generated data. Spatial validation shows that LLM-based populations reproduce census tract-level patterns reasonably well, especially for variables that were more aligned with the ground truth data. Overall, the LLM-generated survey data shows promise as supplementary input, but not yet as a replacement for real survey data.
Reuters AI News | Latest Headlines and Developments | Reuters
Explore the latest artificial intelligence news with Reuters - from AI breakthroughs and technology trends to regulation, ethics, business and global impact.
Dutch financial supervisors warn AI is compressing cyberattack timescales from weeks to hours
Dutch central bank warns AI threatens financial stability as Mythos models compress cyberattack timescales from weeks to hours
Germany, Spain Push Back on Europe’s Plans to Ban Huawei Gear - Bloomberg
Germany, Spain Push Back on Europe’s Plans to Ban Huawei Gear - Bloomberg Cybersecurity A Huawei 5G network router.Photographer: Chris Ratcliffe/Bloomberg Gift this article Contact us:Provide news feedback or report an error Confidential tip?Send a tip to our reporters Site feedback:Take our Survey By Rodrigo Orihuela, Gian Volpicelli, and Paula Doenecke May 27, 2026 at 9:12 AM UTC Save Germany and Spain are leading opposition to European Commission plans to ban Chinese technology suppliers from telecom networks as part of new cybersecurity rules, according to people familiar with the negotiations. Officials from the countries want to keep state-level control, and have expressed concerns that banning products from Huawei Technologies Co. and other Chinese suppliers at the EU level risks retaliation from Beijing, the people said, asking not to be identified as the discussions a
UK spy chief labels AI ‘unstoppable force’ with offensive, defensive ramifications for cyberspace | CyberScoop
With AI rapidly reconfiguring global conflict, the U.K.’s top spy chief warns that everyday technology is being weaponized just below the threshold of traditional warfare.
Cisco report finds no closed frontier AI model is safe from multi-turn attacks - SiliconANGLE
Cisco report finds no closed frontier AI model is safe from multi-turn attacks - SiliconANGLE SHARE UPDATED 09:00 EDT / MAY 27 2026 AI ### Cisco report finds no closed frontier AI model is safe from multi-turn attacks SHARE A new report out today from Cisco Systems Inc. argues that none of the closed flagship large language models it tested can be considered safe once an attacker is allowed to push past a single prompt, as adversarial success rates climb sharply across every model in the cohort. The Cisco AI Threat Research team measured 15 proprietary models from OpenAI Group PBC, Anthropic PBC, Google LLC, Amazon.com Inc. and xAI Corp., putting multi-turn attack success rates between 7.9% and 88.3% across the cohort, against single-turn rates of 2.2% to 64.9% on the same models. The two regimes did not produce the same model ordering and models that looked strong on the single-
RULER: Representation-Level Verification of Machine Unlearning
arXiv:2605.27569v1 Announce Type: new Abstract: Machine unlearning aims to remove the influence of specific training records from a deployed model without retraining from scratch. Current protocols verify this at the output level through membership inference, retain accuracy, and forget-set accuracy, but a model can satisfy all three whilst still encoding forgotten records in its intermediate representations. We introduce RULER, a set of representation-level verification metrics. The oracle-comparative metric M2 measures whether forget-set records occupy the same representational position as in a model retrained without them. The oracle-free metric M4 detects residuals from the unlearned model's internal similarity structure alone, without retraining. Four approximate unlearning methods all pass output-level evaluation, yet under a linear mixed-effects model M2 detects significant residuals in 10 of 12 conditions (p<0.05), with effect sizes growing as the forget fraction increases. A fifth method, Bad Teacher, shows the same residuals despite a different forgetting mechanism. M4 acts as a pre-unlearning diagnostic across tabular, image, clinical text, and face-identity settings: it detects identity-level memorisation in face recognition models where no tested method fully erases the signal.
The attack dominating financial services resets MFA and steals the token
A new cyberattack targeting financial services bypasses traditional password theft by resetting multi-factor authentication and stealing the session token.
Another IT governance headache: AI-enabled sanction evasion | CSO Online
A new report from RUSI focuses on how AI models are enabling regimes such as North Korea and Iran to execute cyber operations while evading detection.
Glasswing's 10,000 Bugs: Train the Team You Have
Glasswing's 10,000 Bugs: Train the Team You Have # Rob T. Lee's Sleep. Diet. Exercise. AI. SubscribeSign in # The Glasswing numbers should change what you do this week, not how well you sleep. ### You cannot hire your way out of this, because the talent pool does not exist yet. Train the team you have. May 27, 2026 3 Share Thanks for reading Sleep. Diet. Exercise. AI. Subscribe for free to receive new editions: Subscribe Anthropic and roughly 50 partners used Claude Mythos Preview to find more than 10,000 high- or critical-severity vulnerabilities in the first month of Project Glasswing1. Most partners found hundreds of high or critical issues in their own code. (One month. Let that sit for a second.) Of those 10,000-plus, 97 have been patched upstream as of May 22. That number is not a measure of how hard anyone tried. It is a measure of where the work now jams. Software sec
The Microsoft Security advantage: Eliminating data leaks in the age of generative AI | Interests | kpvi.com
When employees bypass official ... automated tools, proprietary data is left susceptible to exfiltration. Consequently, securing the modern workplace requires a structural shift: a cross-departmental framework that aligns IT security protocols with HR-defined acceptable use policies. ... The lack of consistent access management has led to a documented erosion of the "least-privilege" principle within agentic systems...
US Fed successfully using AI to monitor financial stability, governor says
Fed Governor Lisa Cook stated that the central bank is using AI to monitor financial stability and assess the risks and opportunities posed by cybersecurity and quantum computing.
OpenAI launches Korea cyber action plan with expanded AI security access
OpenAI is expanding access to its Trusted Access for Cyber program for South Korean government agencies and companies to bolster cybersecurity capabilities.
Adoption, Deployment & Impact
Democratizing Generative AI for Sustainable Competitive Advantage
arXiv:2605.27398v1 Announce Type: new Abstract: As generative artificial intelligence (GenAI) diffuses across industries and becomes broadly accessible, the locus of sustainable competitive advantage shifts from technology ownership toward the quality of employee-level adoption and use. This paper develops a cross-level conceptual framework linking firm-level GenAI investment and governance to individual-level AI democratization, defined as the extent to which employees meaningfully, responsibly, and effectively use GenAI in their daily work. We argue that individual-level AI democratization, grounded in three micro foundations (AI usefulness, ease of use, and AI literacy), mediates the relationship between organizational GenAI investments and sustainable competitive advantage. Drawing on the technology acceptance model, resource-based theory, and emerging empirical evidence on AI productivity effects, we advance six propositions linking perceived usefulness, ease of use, AI literacy, responsible use, and innovation outcomes to organizational transformation and sustained relative performance. The framework provides a measurement scaffold for empirical research and offers managerial guidance on treating GenAI as augmentation infrastructure rather than solely as automation. We conclude by outlining future research directions, including longitudinal and cross-cultural investigations of literacy, governance, and transformation dynamics.
Most generative AI and custom model projects will be a bust: Gartner
To succeed, look to China
Mathematical Modelling of Ethical AI Use in Higher Education: A Coordination Game Framework for Future-Facing Learning
arXiv:2605.27400v1 Announce Type: new Abstract: The rapid uptake of generative artificial intelligence (AI) in higher education is reshaping assessment practices and intensifying concerns around academic integrity, fairness, and learning quality. While institutional responses increasingly emphasise policy guidance and ethical principles, there remains limited formal understanding of how collective norms of responsible or opportunistic AI use emerge and stabilise within student cohorts. This paper reframes student AI use in assessment as a coordination problem shaped by peer expectations and assessment design rather than individual compliance alone. We develop a coordination-based evolutionary game-theoretic framework that captures learning value, effort, perceived fairness, and transparency, with institutional AI governance modelled implicitly through reflective assessment incentives. We use analytical results and finite-population simulations to reveal threshold-driven behavioural transitions in student AI use: small, well-calibrated changes in reflective assessment incentives can trigger rapid shifts towards responsible, learning-oriented AI-use norms, whereas weak or misaligned incentives allow opportunistic practices to persist. These non-linear dynamics explain why policy statements alone often fail to change behaviour, while modest assessment redesigns can have disproportionate effects. By providing a mechanism-level account of how assessment structures shape collective AI-use practices, this work offers higher education institutions an analytically grounded tool for Future Facing Learning, supporting proportionate, pedagogy-led AI governance without reliance on surveillance or punitive enforcement.
REC-CBM: Rubric-Aware Error-Correction Concept Bottleneck Models for Trustworthy Open-Ended Grading
arXiv:2605.27402v1 Announce Type: new Abstract: Open-ended grading is central to equitable and personalized education, yet manual grading remains time-consuming and costly, underscoring the need for automated grading systems. Although recent neural and large language model (LLM) based systems have demonstrated superior performance, they are typically black-box models whose scoring processes and rationales are difficult for educators to verify and trust. Concept bottleneck models (CBMs) have emerged as a promising approach by routing predictions through human-interpretable concepts, providing a mechanistic guarantee of transparency. However, standard CBMs are not tailored to open-ended grading: they do not explicitly model fine-grained rubric dimensions, inadequately capture the ordinal semantics of scoring scales, and neglect inherent reliability issues in human concept annotations. To address these limitations, we propose REC-CBM, a rubric-aware error-correction concept bottleneck model for trustworthy open-ended grading. REC-CBM introduces a rubric-aware concept encoder that learns concept-specific representations over responses and an ordinal pairwise calibration objective that preserves ranking structure among rubric dimensions. It further incorporates a latent concept error-correction module that denoises concept predictions before final grade prediction while preserving interpretability. Comprehensive experiments on publicly available datasets show that REC-CBM consistently improves grading performance and produces more faithful concept-level reasoning than both state-of-the-art baselines. Further analyses validate the contribution of each component and demonstrate the applicability in realistic educational settings. Overall, this work provides a practical, interpretable grading solution that enables educators to inspect, intervene in, and trust automated decisions, advancing more transparent and trustworthy education.
The Architecture of Adoption: Why Scalable AI Infrastructure Matters More Than Algorithms for Enterprise Growth
A sophisticated algorithm running on fragmented, rigid architecture is nothing more than an expensive prototype.
The Netherlands is Europe’s AI leader, but a gap is looming - Techzine Global
The Netherlands is Europe’s AI leader, but a gap is looming - Techzine Global The Netherlands maintains its position as Europe’s AI leader, but the gap to the next generation of AI is significant. This is evident from the annual report “Unlocking the Netherlands’ AI Potential” by Strand Partners, commissioned by AWS. 61% of Dutch companies use AI, compared to a European average of 54%. Only 23% feel ready for next-gen AI, such as agentic AI. AI adoption in the Netherlands is rising sharply. A year ago, the adoption rate was still at 49%. Now it stands at 61%, a 24% increase. This puts the Netherlands well ahead of the European average of 54%. An earlier AWS report from April 2025 already highlighted this leading role—at that time, with an adoption rate of 49% compared to a European average of 42%. Companies using AI are seeing tangible benefits. 80% say the pace of innovation has acce
From AI insight to business outcomes: What enterprises need to move beyond the “Chat Phase” | TechRadar
Moving enterprise AI from conversations to coordinated execution
K Health and Penn Medicine Partner to Launch Enterprise-Wide Clinical AI Architecture
Penn Medicine enters a multi-year collaboration with K Health to deploy clinical AI agents across its EHR, automating patient intake and reducing wait times.
Research finds 'shadow AI' in vendor software poses growing privacy risk
New research indicates that 64 percent of software vendors fail to disclose additional AI subprocessors in their data processing agreements, creating hidden privacy risks.
Artificial intelligence widely established in Swiss companies – but many are still in the early stages of scaling | EY - Switzerland
Artificial intelligence widely established in Swiss companies – but many are still in the early stages of scaling | EY - Switzerland Request for proposal (RFP) - exclusively for Switzerland \r\n"}}" id="rich-text-27660157c4fd" data-up-is="rich-text" data-up-translation-read-more="Read more" data-up-translation-read-less="Read less" data-up-translation-aria-label-read-more="Read more button, press enter to activate, or use Up arrow key to learn more about this content" data-up-translation-aria-label-read-less="Read less button, press enter to activate, or use Up arrow key to learn more about this content" data-up-analytics="rich-text"> ### Request for proposal (RFP) - exclusively for Switzerland How can we support you? \r\n \r\n"}}" id="rich-text-1eb58abedc97" data-up-is="rich-text" data-up-translation-read-more="Read more" data-up-translation-read-less="Read less" data-up-translation-
Council Post: The Hidden Layer Every Healthcare AI Solution Is Missing
In the next wave of healthcare AI, differentiation will turn less on model sophistication and more on the quality and structure of the clinical knowledge beneath it.
Data in motion will enable the agentic enterprise: Boomi CEO | Frontier Enterprise
# Data in motion will enable the agentic enterprise: Boomi CEO | Frontier Enterprise Author: Anthony Macarayan Published: 2026-05-27T01:00:00+00:00 Source: frontier-enterprise.com (frontier-enterprise.com) Language: en ## Story Data in motion will enable the agentic enterprise: Boomi CEO | Frontier Enterprise Search Sign in Welcome! Log into your account your username your password Forgot your password? Get help Password recovery Recover your password your email A password will be e-mailed to you. Home Frontier Tech AI & ML Data in motion will enable the agentic enterprise: Boomi CEO Share Boomi CEO Steve Lucas opened his keynote with a declaration that data is not the new oil. Boomi is arguing that the biggest obstacle to enterprise AI adoption isn’t the models themselves, but whether enterprise data is actually usable in real time. At Boomi World 2026 in Chicago, the c
AI Prognosis: Where patients and hospitals disagree about AI | STAT
In this edition of AI Prognosis, Brittany Trang takes a look at patients' role in how Stanford Health Care adopts AI tools, and more health AI news.
Choosing the right agentic AI platform: Key criteria and comparison
Discover how an agentic AI platform can help your enterprise scale automation, improve governance, and deliver consistent customer experiences.
The Domain Shift: Moving Data Governance from Product Triage to Infrastructure Investment
How shifting the operational focus from isolated data products to systemic domain architecture resolves technical bottlenecks.
Mistral Signs Airbus, BMW as It Brings AI to Manufacturing
French artificial intelligence startup Mistral AI is expanding into advanced manufacturing, striking deals with new customers Airbus SE and BMW AG as it looks to so-called physical AI to fuel growth.
Kirkland & Ellis to spend $500mn building its own AI technology
World’s highest-grossing law firm plans to put the ‘collective intelligence’ of its lawyers into a tech platform
Gartner Survey Finds Consumers Want AI Shopping Help, But Not AI Purchase Decisions
As brands race to invest in agentic commerce, consumer willingness to let AI make purchase decisions topped out at 11% across lower-stakes categories, such a...
Cork employee experience firm Poppulo bags France’s Sociabble
Poppulo’s AI platform aims to help organisations deliver relevant and measurable employee communication. Read more: Cork employee experience firm Poppulo bags France’s Sociabble
Travelport, Cognizant and Anthropic Collaborate to Power Travel Technology for the AI Era
Travelport, Cognizant and Anthropic Collaborate to Power Travel Technology for the AI Era Accessibility Statement Skip Navigation Cognizant Logo Travelport - Travelport, Cognizant and Anthropic are building an AI travel ecosystem to modernize how travel technology is built, tested and maintained - Together they are closing the critical gap in AI-driven travel: connecting systems that can reason and plan with platforms that can actually transact TEANECK, N.J., May 27, 2026 /PRNewswire/ -- Cognizant (NASDAQ: CTSH) is working with Travelport on a strategic AI transformation that will deploy Anthropic's Claude to modernize the way Travelport builds, tests and maintains software across its travel retailing and distribution platforms. The collaboration aims to accelerate the delivery of AI-led innovation to airlines, hoteliers, travel management companies and online travel agencies worldwi
Physical AI in the Digital Omnibus – Update
Physical AI in the Digital Omnibus – Update Share this page - Share this page On this page Author Dr. Benedikt Rohrßen Partner Author Dr. Benedikt Rohrßen Partner - On this page Share this page - Share this page # Physical AI in the Digital Omnibus – Update - Briefing Co authors: Ramona Ahmadi, Julius Haas ## What is the current status? On May 6, 2026, the chief negotiators of the Council of the European Union and the European Parliament agreed on a provisional draft of the Digital Omnibus on AI [1], a legislative package aimed at simplifying the digital legal framework („ Digital Omibus on AI“).[2] Significant changes are expected, particularly for physical/industrial AI. This includes machines equipped with (high-risk) AI, such as autonomous machines and robots. ## What changes are expected? New deadlines for the application of the rules on high-risk AI systems - T
Reply Expands Prebuilt AI Apps With New Production-Ready Applications to Accelerate Enterprise AI Adoption
Reply released a new set of Prebuilt AI Apps: ready-to-use agentic applications designed to drive efficiency and business growth by accelerating the integration of AI into enterprise processes.
Maja Voje's Post - LinkedIn
I spent 45 minutes trying to break an AI sales rep on a live call. The most interesting part was what it refused to do. Nigel is 1mind's Ride-Along 𝗦𝘂𝗽𝗲𝗿𝗵𝘂𝗺𝗮𝗻. Joins the Zoom as a named… | Maja Voje | 19 comments Agree & Join LinkedIn By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy. # Maja Voje’s Post Bestselling Author | Bringing My Go-To-Market Method to 10K Orgs | B2B AI GTM Consultant | ATM: Loving Claude Code, Context & GTM Engineering | 83K LinkedIn | 33K Newsletter 1h I spent 45 minutes trying to break an AI sales rep on a live call. The most interesting part was what it refused to do. Nigel is 1mind's Ride-Along 𝗦𝘂𝗽𝗲𝗿𝗵𝘂𝗺𝗮𝗻. Joins the Zoom as a named participant. Answers buyer questions in real time. I asked the questions a real buyer would ask. Top objections. Pricing. Integrations. Case
What AI Still Can’t Do for Leaders
As leaders weave generative AI tools like ChatGPT and Claude into their daily workflows, where does the output fall short? Moreover, where are leaders falling short for their organizations by giving away too much agency to artificial intelligence? MIT Sloan School of Management professors Deborah Ancona and Katherine W. Isaacs have thought deeply about the […]
CFOs risk falling behind without scalable AI strategy
CFOs risk falling behind without scalable AI strategy IT Brief US - Technology news for CIOs & IT decision-makers United States Powered By # CFOs risk falling behind without scalable AI strategy Wed, 27th May 2026 (Today) MARK TARRE News Chief Chief financial officers risk falling behind without a scalable AI strategy, Gartner said, with a small group of firms already pulling ahead. In its assessment of finance teams, the research group argued that many leaders still treat AI as a collection of isolated tools and pilot projects, rather than building the systems needed to use it across the organisation. Clement Christensen, vice president analyst, and Tamara Shipley, vice president analyst in Gartner's finance practice, said the gap in results will depend heavily on leadership decisions about spending, measurement and priorities. Their argument centres on what Gartner calls "brea
LLM-assisted sentiment analysis for integrated computational and qualitative mixed methods education research: A case study of students' written reflection assignments
arXiv:2605.27403v1 Announce Type: new Abstract: Written reflection assignments give students valuable opportunities for critical self-assessment, meaning making, and learning processing. Additionally, such reflections provide rich data for qualitative education research. However, qualitative data can be time-consuming to analyze. It is even more time-intensive to qualitatively compare findings between different groups of participants, usually limiting comparison to, at most, one variable (e.g., binary gender). Large language models (LLMs) have recently begun to be critically evaluated for use as qualitative research assistants. Using a longitudinal case of written student reflections (n=151) from a study abroad program, we investigate how LLM-assisted sentiment analysis can enable longitudinal mixed-methods research combining computational and thematic analyses. First, statistical testing is used to quantitatively compare sentiment differences according to seven different student identity/lived experience variables. Then, these results inform qualitative data analysis to investigate the reasons underlying these differences. For the case of undergraduate students studying abroad, we found that prior experience living abroad was the only personal variable impacting students' sentiments of their verbal language and communication behaviors. This workflow has implications for how qualitative researchers can more easily probe multiple variables when comparing participants from different demographic groups.
You Can Write Better Than AI (If You Put Your Mind to It).
Later, Green’s team found that human-written essays offered up to eight times more new ideas than those produced by AI . In a third study, they found AI -assisted essays had more interesting vocabulary and were rated more enjoyable to read, but the underlying story lines were more homogenous.
🔮 Why AI isn’t showing up on your bottom line
A framework to understand your firm’s AI transformation
Uber COO says AI spending hard to justify: Is ‘tokenmaxxing’ creating value or just more code? | Technology News - The Indian Express
Uber COO says AI spending hard to justify: Is ‘tokenmaxxing’ creating value or just more code? | Technology News - The Indian Express skip to content # Uber COO says AI spending hard to justify: Is ‘tokenmaxxing’ creating value or just more code? ## The top Uber executive’s remarks have grabbed headlines at a time when tech giants are pushing employees to use AI tools as extensively as possible, a trend referred to as ‘tokenmaxxing’. Uber said it has exhausted its annual AI budget just four months into 2026. (Image: Unsplash) Make us preferred source on Google Whatsapp twitter Facebook Reddit PRINT Uber’s head of operations has reignited the debate on AI spending, stating that the ride-hailing giant is finding it increasingly difficult to justify rising AI costs as gains in productivity and efficiency remain elusive. Andrew Macdonald, the president and COO of Uber, said that
AWS whips out Graviton-powered Redshift instances, claims 7x speed for data warehouse
AI agents asking questions in natural language apparently issue a lot more queries than your average SQL jockey.
UK businesses lose a quarter of AI budgets to complexity
UK businesses lose a quarter of AI budgets to complexity IT Brief UK - Technology news for CIOs & IT decision-makers United Kingdom Powered By # UK businesses lose a quarter of AI budgets to complexity Wed, 27th May 2026 (Today) SOFIAH NICHOLE SALIVIO News Editor Freshworks has published research indicating that UK businesses lose an average of 24% of their AI budgets to complexity before seeing any return. The survey also found that 83% of UK IT leaders say AI outputs introduce noise, errors or rework. It estimates that wasted spending totals GBP £11.7 billion a year in the UK. The findings are based on a survey of 12,021 IT decision-makers across six countries, including more than 9,000 respondents from mid-market organisations. The report argues that mid-market companies face a heavier burden than larger enterprises because they have fewer staff and less budget flexibility to
Geopolitics, Policy & Governance
Payments group accused of being ‘Chinese backdoor’ moves staff out of China
Australia-founded Airwallex is pursuing US expansion amid intensifying rivalry between Washington and Beijing
Nvidia chief Jensen Huang to join board at prestigious Beijing university
Chipmaker boss’s move to join Tim Cook-chaired board underlines push to maintain ties with China
India losing global market share as investors chase AI-heavy economies: UBS’ Arend Kapteyn - CNBC TV18
India losing global market share as investors chase AI-heavy economies: UBS’ Arend Kapteyn - CNBC TV18 In Trends Home Market News India losing global market share as investors chase AI-heavy economies: UBS’ Arend Kapteyn # India losing global market share as investors chase AI-heavy economies: UBS’ Arend Kapteyn ## Arend Kapteyn, Global Head of Economics & Strategy Research at UBS believes easing oil prices and lower geopolitical tensions could help investors return to India, but says AI remains the dominant global market theme. By Reema Tendulkar| Prashant Nair May 27, 2026, 3:13:34 PM IST (Published) 3 Min Read India is struggling to attract global investor money because it is not being seen as a major artificial intelligence (AI) or semiconductor market, according to Arend Kapteyn, Global Head of Economics & Strategy Research at UBS. Kapteyn said global investors are currently
Geopolitical strategy is rewiring supply chains | Hindustan Times
Supply chains are now shaped not only by cost, demand, technology, and logistics, but by geopolitical strategy. Tariffs, sanctions, export controls, industrial policy, shipping-route insecurity, and election-driven trade promises have moved from the background of business planning to its centre.
AI is an arms race, and the US wants $9 billion in Nvidia superchips to keep up | ZDNET
The government is playing catch-up, but Nvidia has a lifeline.
Council Post: Why AI Delivery Can’t Wait For Tech Sovereignty
A more pragmatic approach accepts current realities while focusing on control through governance.
How to close AI’s accountability loophole
Governance of new technologies must be determined by elected officials rather than fastest moving companies
Preventing a ‘Chernobyl moment’ in AI
A White House order on testing frontier models would be a significant first step
Informing AI Policy Assessment using Large-Scale Simulation of Interventions
arXiv:2605.27395v1 Announce Type: new Abstract: As the rapid proliferation of AI systems and harms spurs efforts in AI governance around the world, prioritizing among competing policy options has become increasingly challenging for policymakers and researchers. We introduce a methodology for identifying viable policy options to mitigate specified AI harms, helping policymakers and researchers target areas that warrant greater time and resource investment. This method combines participatory evaluation of policies, expert assessment of implementation costs, and an LLM-based assessment of perceived harm mitigation under each policy option. We leverage a genetic algorithm-based simulation study to explore a vast solution space of potential policy combinations, and examine how outcomes change under different weightings of cost, participatory input, and harm mitigation. We find that this method enables exploration of different balances between participatory and expert components, allowing policymakers and researchers to assess how much weight to assign to each. We argue that the diversity of viable policy combinations found by the genetic algorithm could be a useful starting point for deliberation. This method operationalizes existing work on participatory AI by integrating it directly into practical policy development pipelines.
AI, privilege, and discovery in view of 'Heppner' and 'Morgan'
# AI, privilege, and discovery in view of 'Heppner' and 'Morgan' Published: 2026-05-27T17:17:19.608000+00:00 Source: reuters.com (reuters.com) Language: en ## Story May 27, 2026 - As parties and attorneys increasingly use generative artificial intelligence for litigation preparation, federal courts are beginning to wrestle with the significant practical impacts to litigation discovery. Two recent decisions, United States v. Heppner, No. 25 CR. 503 (JSR), 2026 WL 436479 (S.D.N.Y. Feb. 17, 2026) and Morgan v. V2X, Inc., No. 25–CV–01991–SKC–MDB, 2026 WL 864223, (D. Colo. Mar. 30, 2026), offer a study in contrasts, revealing that the discovery landscape around AI-generated materials depends in large part on the facts and context of the case. For legal counsel managing AI use across an organization, these cases merit close attention. Heppner arose in a criminal prosecution in the Southe
Local Privacy Laws in a Globalized World
arXiv:2605.27801v1 Announce Type: new Abstract: Personal data has emerged as a highly valuable yet sensitive asset that drives business decisions, enables targeted advertising, and generates substantial revenue for companies, while simultaneously facilitating invasive monitoring of users. In recent years, research on digital privacy violations, including undue access, collection, and sharing of user data, has grown significantly. Much of this research adopts the European General Data Protection Regulation (GDPR) as the primary reference framework. This is reasonable, as GDPR was a pioneering legislation, and many of its stipulations are clear and unambiguous. However, we argue that focusing solely on GDPR (and a small set of other Western regulatory frameworks) ignores privacy-related concerns, attitudes, and problems faced by users from other locales, creating a significant research blind spot. This work systematically normalizes the heterogeneous legal requirements of multiple data protection laws into a unified abstraction aligned with the data lifecycle, which forms the foundation for the implementation of such regulations. We further investigate the implications of these laws on different stakeholders, including users, organizations, and governments. Overall, this work aims to broaden the digital privacy research community's perspective and to serve as a set of guiding principles for developing technological privacy solutions spanning multiple countries.
EU fines China’s Temu €200mn for failing to prevent sale of illegal goods
Online retailer becomes second company to be punished under bloc’s Digital Services Act after Elon Musk’s X
EU has 30 days to fix a blind spot on risky AI systems like Pegasus – EUobserver
EU has 30 days to fix a blind spot on risky AI systems like Pegasus – EUobserver On 19 May 2026, the European Commission opened a targeted consultation on the draft guidelines for classifying high-risk AI systems under Annex III of the AI Act. It closes on 23 June. That is thirty days to fix something the guidelines currently get wrong — and that no one in the public debate has named precisely. The guidelines do not distinguish between two fundamentally different categories of AI system. The first category is a deterministic workflow – a sequence of actions fixed in code before deployment, auditable at design time, whose behaviour under all anticipated conditions can be specified in advance. The second is what researchers call an ‘ agentic system’. Rather than just following a sequence of pre-determined steps, it generates the steps it will take on execution. In other words, an inter
Who Is Accountable When AI Goes Global? | Council on Foreign Relations
The existing patchwork of AI standards and governance frameworks can both create and worsen cross-border harms from AI deployment. A central coordinating mechanism could help mitigate these risks. Can the United Nations play this role?
Warren Proposes AI Data Center Tax to Fund Workers Displaced by Automation
AI data center tax proposed by Sen. Elizabeth Warren would levy a per-kilowatt-hour charge on AI facility energy use and pair it with a wealth tax on billionaires including Sam Altman and Jeff Bezos, with proceeds earmarked for workers displaced by automation through healthcare, education, and
Singapore will act against firms that accept AI grants while treating workers unfairly: Jasmin Lau - CNA
Singapore will act against firms that accept AI grants while treating workers unfairly: Jasmin Lau - CNA #### Recent Searches #### Trending Topics Advertisement Advertisement # Singapore will act against firms that accept AI grants while treating workers unfairly: Jasmin Lau The Minister of State for Digital Development and Information acknowledged that companies will continue making commercial decisions, including cost-cutting measures, but warned against overly short-term thinking. Minister of State for Digital Development and Information Jasmin Lau, who co-chairs the Economic Strategy Review (ESR) committee on technology and innovation, speaking to CNA. New: You can now listen to articles. This audio is generated by an AI tool. ###### Alexandra Anand ###### Noah Kong ###### Louisa Tang Alexandra Anand, Noah Kong& Louisa Tang 27 May 2026 05:56PM Set CNA as your preferred
Dentons - The Digital Omnibus on AI: A short guide to the "provisional compromise". Part I: AI system classification, governance and enforcement
# Dentons - The Digital Omnibus on AI: A short guide to the "provisional compromise". Part I: AI system classification, governance and enforcement Published: 2026-05-27T15:23:43+00:00 Source: dentons.com (dentons.com) Language: en ## Story Dentons - The Digital Omnibus on AI: A short guide to the "provisional compromise". Part I: AI system classification, governance and enforcement ## Helping our clients everywhere Go ## Dentons news ### Dentons launches combination with leading firm in Thailand ### Dentons and Griffiths & Partners launch combination in the Turks and Caicos Islands ### Dentons expands presence in Africa with leading firm in Cameroon ## Dentons solutions: global tools and trackers ### Anti-bribery and anti-corruption laws ### Global bid challenge tracker ### Global collective redundancy guide # The Digital Omnibus on AI: A short guide to the "provisional com
In-Ear Insights: Enterprise AI 101 - Trust Insights
Enterprise AI 101: learn the real definition of enterprise AI, the 20 readiness pillars from NIST and the EU AI Act, and why regulated industries face unique AI compliance risks.
AI assurance emerges as the operational backbone of AI governance
AI assurance is increasingly emerging as the operational layer through which governments may govern autonomous AI systems, as regulators move beyond static compliance frameworks.
Ministry for Regulation issues AI guidance for regulators | RNZ News
Humans would still be required for judgement, legal interpretation, and accountability, the minister's office says.
Gavin Newsom takes a populist turn on AI ahead of a possible 2028 presidential run
AI is becoming a dominant political issue, with many on the right and the left coalescing around concerns about the rapid growth of the industry.
Exclusive: OpenAI readies cyber, misinformation defenses ahead of elections
OpenAI is offering its cybersecurity products to state officials and backing legislation ahead of elections in the U.S. and globally.
EU Commission chief eyes new AI envoy, but the role is still to be fully defined | Euronews
EU Commission chief eyes new AI envoy, but the role is still to be fully defined | Euronews Google engineer charged over $1.2mn Polymarket bets Five arrests as Portuguese Judicial Police launch corruption operation Fire rips through Kenya girls' school dormitory, killing at least 16 Dalai Lama attends swearing‑in of Tibetan government‑in‑exile in India Google engineer charged over $1.2mn Polymarket bets Five arrests as Portuguese Judicial Police launch corruption operation Fire rips through Kenya girls' school dormitory, killing at least 16 Dalai Lama attends swearing‑in of Tibetan government‑in‑exile in India Advertisement Published on 27/05/2026 - 14:41 GMT+2 Share Comments Share ## The EU Commission is considering appointing an AI envoy, a high-profile job to represent the bloc externally and drive industrial policy in this area. But critics see the move as merely PR-driv
CERT-In’s new AI cybersecurity guidelines call for 12-hour patch windows for critical flaws: Key takeaways
CERT-In has released a new cybersecurity blueprint warning of AI-assisted cyber attacks and urging organisations to patch critical flaws within 12 hours.
UK, Australia announce AI security partnership
The UK and Australia have announced a new partnership between their AI safety institutes to scrutinize AI risks and share information on advanced capabilities.
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