Sun 31 May 2026
Weekly Brief — Curated and contextualised by Best Practice AI
Anthropic Tops OpenAI, Starbucks Miscounts Inventory, and ECB Warns of AI Risks
TL;DR Anthropic surpassed OpenAI as the most valuable AI startup with a valuation of $965 billion. Starbucks retired its AI agent after it miscounted inventories, highlighting operational challenges. The European Central Bank warned that private-credit fueled AI investments could pose risks to the financial system. Dell's shares soared 30% due to strong AI server demand. The ECB summoned banks to address flaws exposed by AI models.
Economics & Markets
AI Debt Reshapes Wall Street
Wall Street’s AI boom is spilling into credit markets. As hyperscalers' issue huge amounts of debt, banks are buying protection to manage exposure, while hedge funds sell that protection for what looks like easy money. But if the AI race starts producing winners and losers, this quiet CDS trade could become much riskier. (Source: Bloomberg)
In AI Infrastructure, the Offtake Agreement Is the Asset
Committed Demand as the Primary Credit Variable, Counterparty Quality Over Real Estate, Compute Factory Underwriting from First Principles, What CoreWeave's Microsoft Contract Actually Is
AI coding startup Cognition raises $1B at $25B pre-money valuation | TechCrunch
As Cognition reaches $492 million in annualized revenue run rate, it more than doubled its valuation in eight months, it says.
Apollo Seeks Partners for $36B Debt Deal to Buy AI Chips for Anthropic
Apollo and Blackstone are working to bring additional investors into a roughly $36 billion debt financing deal to help Anthropic build out its AI infrastructure. The debt will be used to purchase Google’s custom chips known as tensor processing units, or TPUs, which Anthropic will then lease, according to people with knowledge of the matter. Bloomberg's Neil Campling reports. (Source: Bloomberg)
Anthropic Tops OpenAI to Become the World’s Most Valuable A.I. Start-Up
Anthropic raised $65 billion in new fund-raising that put its value at $900 billion, ahead of OpenAI’s last valuation of $730 billion, as the companies duel for A.I. dominance.
Anthropic Valuation of $965 Billion Passes OpenAI
Anthropic raised $65 billion in a funding round that valued the AI company at $965 billion including the new investment, eclipsing rival OpenAI’s value for the first time. Bloomberg's AI reporter Shirin Ghaffary joins Tim Stenovec on "Bloomberg Tech." (Source: Bloomberg)
OpenAI Has Discussed Adding Citigroup, JPMorgan to Bank Lineup for IPO
OpenAI has spoken with banks including Citigroup Inc. and JPMorgan Chase & Co. about working on its upcoming initial public offering, according to people familiar with the matter.
Dell shares soar 30% as AI server demand, price hikes power stellar quarter | Reuters
Dell's shares surged 30% on Friday, as the PC maker's blockbuster results showed that its growing focus on AI servers was helping it capitalize on the data center boom, making the company one of the biggest beneficiaries of the new technology.
AI spending forces enterprises to shorten SaaS deals and demand new pricing protections
Rising enterprise investment in AI tools is prompting customers to compress traditional software-as-a-service contracts and extract stronger commercial protections, executives and reporting said. Over the past several months, buyers in the US and global markets moved to shorten multi-year ...
How DeepSeek’s radical architecture is shattering Silicon Valley's token moat
DeepSeek’s announcement over the weekend that it has made its 75% price cut permanent on its flagship V4 Pro model is a disruptive assault on the capital-heavy business models of Silicon Valley’s frontier labs. The reduction on DeepSeek V4 Pro directly undercuts comparable Western models used as workhorses for enterprise production. It is 7x cheaper on inputs and 17x cheaper on outputs than Anthr
Pinterest cut AI costs 90% by gutting a frontier model's vision layer
At 620 million monthly users, calling a frontier model for every image recommendation isn't a strategy — it's a bill. Pinterest CTO Matt Madrigal solved it by gutting Qwen3-VL's vision layer and rebuilding it with proprietary embeddings, cutting costs 90% and boosting accuracy 30%. Madrigal’s team has been heavily investing in customizing open-source models “foundationally in-house.” “If you've g
"Agentic AI" Is a Bonfire of the Tokens While Fab Capacity, Power Grids, and P&Ls Are the brakes: (NOT THE) READ OF THE DAY
Derek Thompson: The AI Boom Has Entered Its ‘Wait, Is This Worth It?’ Phase <https://www.derekthompson.org/p/the-great-ai-cost-panic-of-2026>: ‘Agents eat tokens like mammals breathe oxygen. According to… SemiAnalysis, the typical agent job uses 96,000 tokens before generating an answer, which is more text than…
Cognitive offloading and the speedup illusion in human-AI interaction
arXiv:2605.23177v1 Announce Type: new Abstract: Large language models (LLMs) have the potential to boost human productivity by speeding up task completion -- provided users know when to offload cognitive work to them. But we do not know if users are well-calibrated in estimating these potential time savings. We conducted a preregistered large-scale behavioral study (N = 1237) to characterize mism
Coding Beyond Your Training: Claude Code and the Technological Frontier of Software Developers
arXiv:2605.25438v1 Announce Type: new Abstract: We study whether adoption of an AI coding assistant causally expands the technological frontier of individual software developers. We exploit the staggered rollout of Claude Code across GitHub between May 2025 and January 2026 in a panel of 5,838 developers observed monthly over 28 months, with treatment defined by the developer's first Claude-co-au
AI in the Enterprise: How People Use M365 Copilot Chat
arXiv:2605.23958v1 Announce Type: cross Abstract: M365 Copilot is used every week by millions of people across more than a million companies around the world as part of their workflows. Uniquely positioned in the AI landscape given its near-exclusive use for work purposes, M365 Copilot can offer a clear picture of how people use AI for work and where that usage may expand next. This paper charact
Position: Adopting AI in Practice Does Not Guarantee the Productivity Boost
arXiv:2605.24688v1 Announce Type: new Abstract: This position paper argues that adopting AI in organizational practice does not guarantee productivity gains, because human and environmental factors critically moderate the relationship between AI deployment and realized productivity improvements. Following the advent of high-performance generative models, AI use has been rapidly encouraged in some
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 attrac
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 tow
Labor, Society & Culture
As AI slashes white-collar jobs, Salesforce CEO Marc Benioff says almost no one is being hired—except in sales
Salesforce CEO Marc Benioff revealed that the $145 billion firm is keeping its engineering team slim thanks to AI—but has good news for sales workers.
Generative AI and the Reorganization of Labor Demand
arXiv:2605.23159v1 Announce Type: new Abstract: Generative artificial intelligence (AI) is expected to transform work, but less is known about how firms reorganize labor demand as the technology diffuses. Existing research has largely focused on which occupations are exposed to AI or whether exposed jobs decline. We extend this debate by examining whether firms adjust by changing where they hire,
Generative AI impacts on intra-urban inequality and skill premium in Beijing
arXiv:2605.25505v1 Announce Type: cross Abstract: Generative artificial intelligence (GenAI) is the first automation wave to reach high-cognitive tasks at scale, yet its effects on intra-urban inequality remain largely unknown. Using 5 million job postings from Beijing (2018--2024), we construct a neighborhood-level GenAI Exposure Index by aggregating task-level assessments from five leading larg
AI tools lead to ‘clear racial disparities’ in job hiring
New Stanford-led study finds candidates that fail AI-hiring tests face ‘systemic rejection’ across companies
It’s time to address the looming crisis in entry-level work.
Artificial intelligence has not so far produced a clean story of mass unemployment. Aggregate employment in developed countries remains broadly stable, and recent assessments have found limited evidence that AI has shifted the headline numbers. But a troubling change may be hiding beneath the surface: the quiet weakening of the first rung of the career…
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 empir
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
The New Pro Se: Generative AI and the Surge in Federal Civil Self-Representation
arXiv:2605.29493v1 Announce Type: new Abstract: Since public access to generative AI tools became widespread, federal civil litigation has seen a marked increase in pro se (self-represented) plaintiffs. This paper analyzes that shift using ~2.8 million filings, asking whether the post-GenAI period is associated not only with more pro se filings, but also with detectable changes in complaint text,
Technology & Infrastructure
Energy per Successful Goal: Goal-Level Energy Accounting for Agentic AI Systems
arXiv:2605.22883v1 Announce Type: new Abstract: Current AI energy benchmarks measure consumption at the granularity of a single model invocation or training run. For classical single-turn workloads this unit remains coherent. For agentic systems - where a single user goal may trigger multi-step orchestration, tool calls, retries, and failure-recovery cycles - the invocation count is an implementa
‘What you see here is a wetland without water’: how the datacentre boom is exacerbating Chile’s mega-drought
The country is positioning itself as Latin America’s next technology hub, but communities are pushing back The Andes mountains frame what was once a wetland – now a stretch of dry, yellowed grass. Rodrigo Vallejos, a final-year law student, noticed the change five years ago while observing the Quilicura wetland, on the northern outskirts of Santiago. One of Chile’s largest swamps, spanning 468.4 h
r/stocks on Reddit: Nvidia went from 95% to zero market share in China's AI chips while the US can't decide whether to sell there or not
Cambricon, one of only two companies on Beijing's approved AI hardware procurement list alongside Huawei, just posted Q1 revenue of $423 million, up 160% year over year, with net profit up 185%. Two years ago this company was losing money. Morgan Stanley estimates the Chinese AI chip market could reach $67 billion by 2030 with domestic suppliers capturing over three quarters of it.
Huawei Touts Chip Breakthrough to Shorten Gap With TSMC
Huawei Technologies Co. said it has come up with a new pathway to shorten its gap with industry leader Taiwan Semiconductor Manufacturing Co., potentially achieving a breakthrough in making advanced semiconductors without cutting-edge equipment.
AI and the brave new world of deals
Global M&A is now dominated by the race to control the world’s energy, fibre networks and compute
AI’s Massive Power Problem
The AI data center boom is becoming an industrial arms race. CyrusOne CEO Eric Schwartz joined Bloomberg Open Interest to explain why the future of AI depends on power grids, skilled labor, and trillion-dollar infrastructure bets. (Source: Bloomberg)
AI Is Colliding With the Analog Semiconductor Supply Chain
AI infrastructure demand is now colliding with supply chain, creating new risks across automotive, industrial, networking, and board-level components.
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.
The Deterministic Horizon: Impossibility Results as Design Specifications for Trustworthy AI Systems
arXiv:2605.23024v1 Announce Type: new Abstract: Large language models now write software, draft legal documents, and produce clinical notes, yet fundamental limits, from Turing and Arrow to the No Free Lunch theorems, shape what computation can do. This thesis turns such impossibility results from curiosities into design rules. Its flagship result proves an accuracy ceiling set by architecture al
How Much Thinking is Enough? Quantifying and Understanding Redundancy in LLM Reasoning
arXiv:2605.23926v1 Announce Type: new Abstract: Reasoning-capable large language models solve hard problems by emitting long chains of thought, paying heavily in latency, GPU time, and energy. Casual inspection of their traces reveals extensive reformulation, verification, and circular self-reflection, yet how much of this deliberation is actually necessary has never been measured at scale or exp
Adoption, Deployment & Impact
Why prompt debt, retrieval debt, and evaluation debt are quietly reshaping enterprise AI risk
Over the past two decades, technical debt meant outdated architecture, messy code, and poorly maintained documentation. That definition is no longer sufficient in the AI era, where failure modes are more subtle and often non-linear. AI systems are introducing new layers of technical debt that live across prompts, models, and data dependencies — making these layers less visible, harder to measure,
UK law firm Pinsent Masons reprimanded by court over AI error
Judge Mark Mullen warns lawyers against outsourcing legal research or reasoning
Adopt $\neq$ Adapt: Longitudinal Analyses of LLM Conversations in the Wild
arXiv:2605.29018v1 Announce Type: new Abstract: Although a growing body of research has begun to describe user--LLM interactions, the picture it paints is largely static; little is known about how individual users change their behavior over time. To address this gap, we analyze the conversational trajectories of $\sim$12,000 randomly sampled Microsoft Bing Copilot users and compare these with dat
Starbucks quietly retired its AI agent just months after deployment after it miscounted coffee shop inventories and slowed down baristas
“It started off not particularly accurate and got less accurate over time,” one Starbucks employee told Fortune.
Law firm Kirkland to spend $500 million developing its own AI platform | Reuters
Law firm leaders told Reuters in recent interviews that there is increasing demand for custom-designed AI programs to assist with specific business and legal tasks, and an ongoing debate over how much to develop internally.
The AI agent bottleneck isn't model performance — it's permissions
Enterprise AI agents are stalling — not because of model performance, but because of permissioning. Every agentic workflow eventually hits the same wall: what is this agent allowed to touch, on whose behalf, and how does the system know? Workday's answer is to make its existing system of record the governance layer for agents. Gerrit Kazmaier, the company's president for product and technology, to
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
Merck and Mastercard are seeing real agentic AI results. Both say the plumbing came first.
Merck is using AI agents to cut drug discovery cycles by a third and ship compliant marketing materials up to 80% faster — but VP of Digital Platforms Sean Finnerty says the only reason it's working is because they built the infrastructure first. And the pharmaceutical manufacturer is seeing promising early results: AI is generating marketing drafts that are “99% right” when it comes to compliance
Geopolitics, Policy & Governance
ECB summons banks to urge them to fix flaws exposed by latest AI models
Supervisor to stress seriousness of risks to financial system at hastily arranged meeting
High-Risk AI Systems and the Problem of Identity in the European AI Act
arXiv:2605.23922v1 Announce Type: new Abstract: The EU Artificial Intelligence Act (AIA) establishes a lifecycle governance regime for high-risk AI systems built around ex-ante conformity assessment, post-market monitoring, and re-assessment upon "substantial modification." These obligations presuppose AI identity judgments: regulators and providers must decide when an updated system remains the
AI Regulation at the Federal, State, and Local Levels
We have seen this pattern before. Washington debates, states move, and Congress eventually responds, often borrowing from what states have already built. Privacy may be heading back down that track, but the federal endpoint remains uncertain. Artificial intelligence (AI) is not waiting.
EU AI Act Omnibus Agreement — Postponed High-Risk Deadlines and Other Key Changes - Gibson Dunn
EU AI Act Omnibus Agreement — Postponed High-Risk Deadlines and Other Key Changes - Gibson Dunn EU AI Act Omnibus Agreement — Postponed High-Risk Deadlines and Other Key Changes - Gibson Dunn # EU AI Act Omnibus Agreement — Postponed High-Risk Deadlines and Other Key Changes Client Alert | May 27, 2026 --- Formal adoption and publication in the Official Journal are expected in the coming weeks, in
AI & Tech Brief: The NSF Showdown - The Washington Post
Illinois’ landmark AI bill establishes third-party audits of frontier labs, raising the ante for the fight over preemption of state AI laws in Congress.
BOE’s Bailey Says UK Banks Still Lack Access to Mythos
Bank of England Governor Andrew Bailey said that British banks are still locked out of using Anthropic PBC’s powerful new AI tool, calling for a international approach to fighting cybersecurity threats.
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