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What if the AI boom goes into reverse?: Joachim Klement | Reuters
Investors should be asking not whether the AI boom will end, but what will happen to markets when it does and where safety may be found.
US stocks post longest weekly winning streak since 2023
AI enthusiasm and hopes for deal to extend US-Iran ceasefire boost markets
Venture Capital Is Evolving: Here's the New Playbook for Startups and Investors
Capital is still flowing, but the easy-money, easy-investing era is over. This is how startups and investors can meet the challenges and seize opportunities.
BOE's Bailey Says UK Banks Don't Have Access to Mythos
Bank of England Governor Andrew Bailey says that British banks are still locked out of using Anthropic PBC’s powerful new AI tool. Speaking with Bloomberg's Stephanie Flanders at a central banking conference in Iceland, Bailey adds that banks are using other models to test their cyberdefenses. (Source: Bloomberg)
What Does the EU AI Act Require From Financial Institutions
Discover what the EU AI Act requires from financial institutions. Learn compliance obligations, risk management, and oversight strategies!
Sky-High I.P.O. Pricing Isn’t Great for Real People
When newly public companies have been valued as richly as SpaceX, OpenAI and Anthropic seem likely to be, the outlook for ordinary investors has been poor.
BOE's Bailey on AI Risks, Private Credit and Crypto
Bank of England Governor Andrew Bailey discusses the emerging risks from frontier AI models, the recent concerns about the private credit market and the central bank's stablecoin proposals. He speaks with Bloomberg's Stephanie Flanders at a central banking conference in Iceland. (Source: Bloomberg)
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.
AI-native hedge funds influence AI infrastructure stocks | Let's Data Science
HedgeCo.net reports that **Nebius Group**, the AI infrastructure company trading under the ticker **NBIS**, surged roughly **10%** after a regulatory disclosure showed that **Situational Awareness LP**, an investment firm led by former OpenAI researcher **Leopold Aschenbrenner**, had taken ...
Google employee charged with using insider data to rig bets on Polymarket
US DoJ alleges software engineer Michele Spagnuolo, 36, earned $1.2m betting on Google’s most-searched list Sign up for the Breaking News US newsletter email The US justice department has charged a Google software engineer with using insider information to rig bets tied to Google’s most-searched list on the prediction market Polymarket, earning $1.2m in profits, according to a complaint unsealed on Wednesday. Michele Spagnuolo, a 36-year-old Italian citizen, allegedly used insider information to bet on long-shot candidates and reap immense financial gain. His arrest comes one month after prosecutors charged a US army soldier with using classified information to place Polymarket bets about military action in Venezuela. Continue reading...
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.
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.
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
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
AI in financial services has a control problem
In financial services, adoption does not happen when AI gets smarter. Adoption happens when AI becomes controllable and coordinated. Read more here.
CFOs Funded the AI Revolution. Now They’re Joining It
Finance organizations are increasingly adopting AI for workflow redesign and analysis, though the article lacks specific implementation details.
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.
AI investments made up a third of Singapore venture funding in 2025
The rise in AI bets comes amid overall declining deal value in Singapore.
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.
The Google Insider Trading Case Hits Polymarket
Charges against a Google employee who bet on Polymarket have raised concerns that the issue may dent momentum in the fast-growing sector.
Just like gold and oil, we'll soon be able to trade AI token futures | TechCrunch
Large exchanges are designing derivative products around AI tokens, which are increasingly being considered less a computational output and more a raw material input, like electricity or bandwidth.
[AI DAILY NEWS RUNDOWN] AI Trades Stocks, Biohub Fights Cancer, and Hiring Bias Exposed (May 28 2026)
Robinhood Launches Agentic Trading: Robinhood Gold users can now connect AI agents via MCP to autonomously execute stock trades and rebalance portfolios.
Gartner Says CFOs Must Stop Mistaking Finance AI Deployment for Value Creation - CPA Practice Advisor
Many CFOs are still struggling to convert AI deployment into significant business value, according to Gartner.
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.
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
Robinhood to let investors use AI chatbots for share trading
US brokerage joins ‘arms race’ to give retail investors new tools
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.
Robinhood's new AI tools can automate trading, spending
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From experimentation to execution: where agentic AI is delivering real value | TechRadar
Agentic AI shifts banking from pilots to trusted, scalable automation
Robinhood now lets your AI agents trade stocks | TechCrunch
While these agents would be able to read and analyze users' portfolios to come up with trading strategies and suggest investments, they'll only be able to access the pre-loaded balance in the dedicated wallet to place orders.
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.
AI Funding in 2026: Where Venture Capital Is Going
Those two deals alone represented ... May 2026). The velocity is staggering. Global venture investment through April is up 139% year over year. Here’s the thing that gets lost when you read those headline numbers: the concentration is extraordinary even by the standards of an already concentrated market. According to PitchBook’s Q1 2026 AI VC Trends report, just ...
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
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 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.
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
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)
Nandan Nilekani's Fundamentum launches F2A with Rs 3,000 Cr corpus
F2A has also brought in Debraj Banerjee, a former SIDBI Venture Capital executive, as a general partner to help lead its AI and deeptech investment strategy. Before joining F2A, he was a senior fund manager and investment committee member at SIDBI Venture Capital. He has invested in startups like ...
Spain blocks prediction markets Polymarket, Kalshi over lack of gambling licence
Spain has blocked access to prediction markets Polymarket and Kalshi, citing a lack of required gambling licenses.
BNP Paribas is turning to Mistral as AI cyber tools reshape banking - Startup Fortune
BNP Paribas is working with Mistral AI as banks prepare for Mythos-class cybersecurity models. The move shows how frontier AI access is becoming a
Hedge funds are AImaxxing
Software is out, semis are in
Corporate Treasuries' AI Investment Surges Despite Low ROI | Global Finance Magazine
Despite low initial ROI, corporate treasuries are ramping up AI investments. Discover why workflow debt is holding back finance departments.
Market Outlook: AI investment boom faces inflation and oil pressure
AI investment continues to fuel U.S. growth as inflation, oil prices and higher bond yields pressure equities and Canadian banks.
Taiwan Overtakes India in Global Stock Market Rankings Amid TSMC Surge
Taiwan has overtaken India as the world’s fifth-largest stock market, driven by strong gains in AI chip giant TSMC.
ECB says private-credit fuelled AI boom poses risk to financial system
Central bank warns that investors could be exposed to losses if the technology does not meet its potential
S&P 500 hits record closing high on AI optimism, Micron joins $1 trillion club | Reuters
equities higher despite the ongoing conflict with Iran, with investors now turning their attention to IPOs of some of the largest private AI companies, including SpaceX (SPCX.O), opens new tab.
India vs Taiwan: How Taiwan Overtook India As World’s Fifth Largest Stock Market
That’s a sign of a broader market ... money at AI infrastructure, semiconductors and tech supply chains at breakneck speed. India still has deeper domestic growth drivers, a much larger economy and a wider investor base. But right now, global capital is making one point clear — by 2026, artificial intelligence will be shaping market leadership as much as economic growth. Also Read: Wall Street Today: Futures Jump After Holiday Break; Tech Strength, Calm Geopolitics, Falling Oil ...
Contract Structure and Risk Aversion in Longevity Risk Transfers
arXiv:2409.08914v2 Announce Type: replace Abstract: This paper introduces an economic framework to assess optimal longevity risk transfers between institutions, focusing on the interactions between a buyer exposed to long-term longevity risk and a seller offering longevity protection. While most longevity risk transfers have occurred in the reinsurance sector, where global reinsurers provide long-term protections, the capital market for longevity risk transfer has struggled to gain traction, resulting in only a few short-term instruments. We investigate how differences in risk aversion between the two parties affect the equilibrium structure of longevity risk transfer contracts, contrasting `static' contracts that offer long-term protection with `dynamic' contracts that provide short-term, variable coverage. Our analysis shows that static contracts are preferred by more risk-averse buyers, while dynamic contracts are favored by more risk-averse sellers who are reluctant to commit to long-term agreements. When incorporating information asymmetry through ambiguity, we find that ambiguity can cause more risk-averse sellers to stop offering long-term contracts. With the assumption that global reinsurers, acting as sellers in the reinsurance sector and buyers in the capital market, are generally less risk-averse than other participants, our findings provide theoretical explanations for current market dynamics and suggest that short-term instruments offer valuable initial steps toward developing an efficient and active capital market for longevity risk transfer.
SpaceX and OpenAI IPOs May Push Market Concentration Beyond Historic Levels in 2026 - Blockonomi
SpaceX and OpenAI IPOs could drive US market concentration to 48%, exceeding dot-com bubble levels. Learn how inflation and ETF buying may impact investors.
Irish SME venture capital investments fall more than half in first quarter - TechCentral.ie
Irish technology SMEs raised €221.7 million in venture capital in the first quarter of 2026, a fall of 58% compared to the same period last year, according to the Irish Venture Capital Association VenturePulse survey published today in association with William Fry.
On Call with Jonathan Yip, Head of Innovation Banking, Asia at HSBC on the Future of Innovation Capital and CFOs - Insignia Business Review
“The demand on credit is certainly broadening. Whether you’re building applications or foundational models, the hardware and chips that power those models, or data centers and energy, each innovator and each investor working on that opportunity requires a different form of capital.” ...
Lenders lap-up AI to break language barriers, slash lending timelines - The HinduBusinessLine
Lenders utilize AI to enhance efficiency, eliminate language barriers, and streamline lending processes for faster loan approvals.
SoftBank Shares Hit Record With Lift From OpenAI IPO Hopes
SoftBank Group Corp. shares climbed to a record high, spurred by hopes of big returns from the Japanese investor’s stakes in OpenAI and SB Energy Corp., should the two go public.
GENSTRAT: Toward a Science of Strategic Reasoning in Large Language Models
arXiv:2605.23238v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly deployed as economic agents in marketplaces, auctions, and bidding settings. Anticipating their behavior in any specific deployment is hard. Existing strategic-reasoning benchmarks evaluate models on fixed canonical games. These benchmarks may saturate as the frontier improves, and they do not allow evaluators to generalize with confidence from benchmark performance to the varied and messy strategic environments that actual deployments involve. We introduce GENSTRAT, which uses procedurally generated strategic environments to address these challenges. Concretely, we generate a distribution of two-player zero-sum imperfect-information card games. The generator can draw fresh games on demand, allowing for evergreen evaluation and resistance to contamination. We pair the game distribution with a capability-profile methodology that decomposes model competence across six axes (state space, temporal depth, information sensitivity, opponent modeling, risk, and brittleness). We also introduce a jaggedness measure of within-distribution smoothness that detects when a model's advantage jumps unpredictably between strategically similar games. We sample 50 benchmark games from a 2,000-game generated pool and evaluate nine frontier and open-weight LLMs in a head-to-head tournament with over 36,000 matches. Newer frontier-tier models score higher on average. Beyond that average, models with near-identical overall strength show qualitatively different capability profiles, and two of the top three leaderboard models (gpt-5 and claude) are noticeably more locally volatile than the third (gemini-3.1-pro), despite being close in overall strength. Together, the capability profile and the jaggedness measure give a deployment-relevant diagnostic that the overall ranking alone cannot provide.
Why Venture Capital as We Knew It Died—and What Replaced It in 2026
Venture capital is transforming. In 2026, sovereignty, DeepTech, and VC-as-a-Service have replaced the old growth-at-all-costs model. Here's what's next.
ECB urging action on AI from lenders’ IT departments
The emergence of Anthropic’s Mythos has sparked wide-ranging concern about potential threats posed by it and other similar AI models. Read more: ECB urging action on AI from lenders’ IT departments
Leveraging Large Language Models for Sentiment Analysis: Multi-Modal Analysis of Decentraland's MANA Token
arXiv:2605.20192v1 Announce Type: cross Abstract: Decentraland, a decentralized virtual reality platform operating within the expanding Metaverse ecosystem, utilizes its native MANA token to facilitate virtual asset transactions and governance. This study investigates the integration of Discord community sentiment with multi-modal financial data to enhance cryptocurrency price prediction within virtual world economies. We address: (1) identifying sentiment patterns within Decentraland's Discord community, and (2) evaluating the impact of multi-modal features on token return forecasting. Using a BERT-based large language model for sentiment analysis, we develop two LSTM architectures: a baseline incorporating historical prices and a multi-modal variant integrating sentiment scores, trading volume, and market capitalization. Results indicate predominantly neutral community sentiment with a positive skew. The multi-modal model significantly outperforms the price-only baseline in prediction accuracy. These findings demonstrate the predictive value of community-derived signals for virtual economy forecasting and establish a foundation for future research at the intersection of immersive virtual environments, natural language processing, and cryptocurrency market analysis.
‘Clock is ticking’: ECB summons banks over AI-driven cyber risks, warns of fast-evolving vulnerabilities
The European Central Bank has warned major lenders that artificial intelligence is rapidly intensifying cyber security risks, urging banks to accelerate defences as AI tools shrink the time window to detect and fix vulnerabilities
Funding for Irish tech startups slumps as AI hoovers up investors’ resources | Irish Independent
Tech funding in Ireland has fallen by one of its steepest-ever declines as AI hoovers up investors’ cash to the detriment of startups here.
In the era of artificial intelligence (AI), global mega institutional investors are changing their i.. - MK
In the era of artificial intelligence (AI), global mega institutional investors are changing their investment strategies.Institutional investors are moving away from the role of investors (LPs) that o..
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
Why IPO mania could signal top of the market
A potential deluge of AI-related equity supply removes a source of upthrust for prices
ECB Convenes Banks to Fix Flaws Exposed by AI Models, FT Says
The European Central Bank plans to press lenders to accelerate efforts to secure their IT systems after organizing a meeting on cybersecurity risks with the latest artificial intelligence models, the Financial Times reported.
AI Won't Crush the Labor Market, JPMorgan Exec Says - Business Insider
AI doomers say the tech could crush the job market, but a growing chorus of market pros says that it'll reshuffle, not shrink, employment.
How AI has changed M&A
Deals hit record highs, unloved companies turn sexy and PE finds a new gold mine
Reuters Reuters | Breaking International News & Views
Elon Musk’s rocket firm is poised to float with a $1.75 trln valuation. With Open AI coming, starry-eyed investors are likely to focus on mega floats. Windscreen fixer Belron’s mix of stable growth and low AI -disruption risk could show that even earthier listings can take off.
Goldman Sachs CEO Says Fears Of Mass Unemployment From AI Are ‘Overblown’
David Solomon acknowledged advancements in artificial intelligence have eliminated jobs in some industries but “may lead to job growth in others.”
Bill Winters ‘Lower-Value Human’ Apology Not Enough for Unions
Bill Winters’ efforts to restore calm after making some controversial comments on AI have failed to reassure labor organizations, according to one of the world’s largest union federations.
Declarative Data Services: Structured Agentic Discovery for Composing Data Systems
arXiv:2605.20690v1 Announce Type: new Abstract: Agentic discovery has shown that LLM-driven search can find novel algorithms, designs, and code under benchmark conditions. Translating the paradigm to multi-system data backends surfaces a harder problem: the search space is heterogeneous, the verifier is whether a deployed stack actually runs, and composition knowledge is unevenly captured in pretraining. Unbounded agentic discovery, a coding agent iterating on failure-log feedback, fails to converge consistently on a working stack even when iteration and explicit composition knowledge are added. We propose Declarative Data Services (DDS), an architecture for structured agentic discovery of data-system compositions from declarative user intent. The framework owns four typed contracts at successive layers (intent, operator DAG, per-system skills, runtime attribution) that decompose the global search into bounded sub-searches; sub-agents search each typed space, while the framework provides the channels by which knowledge flows forward as inline skill citations and errors route backward as typed signals. As a proof of life on a trading-backend workload, DDS converges where unbounded discovery does not; runtime failures become skill patches that the next deployment cites inline. We position this as an early prototype reporting lessons from real-world data-system composition.
I’ve spent 25 years in venture capital. Here’s how it quietly shut ordinary Americans out of the AI wealth boom—and what could fix it
The private market didn't just grow. It replaced the system that once let regular investors participate in America's biggest wealth-creation moments. One solution keeps getting ignored.
Jamie Dimon sees ‘exuberance’ in markets. That’s a loaded word when it comes to bubbles popping
The most important economic question of our time has no consensus — and the gap between what AI can do and what economies are organized to absorb may be the defining tension of the decade.
AI megarounds boost US venture capital dominance despite deal numbers remaining flat - AltAssets Private Equity News
The US strengthened its dominance in global venture capital landscape in the first few months of this year thanks to a "sharp surge" in invested capital, new research from GlobalData suggests.
AI in financial services moves beyond pilots to profits - SiliconANGLE
AI in financial services is moving beyond pilots, reshaping banking, insurance and capital markets with agentic workflows and smarter risk management.
The hidden flaw in insurance AI adoption for advisors and carriers - Insurance News | InsuranceNewsNet
Many insurers are still using AI for existing underwriting and claims rather than redesigning how those workflows operate.
AI’s Expanding Market Grip Traps Active Managers on Wall Street
The AI boom is humbling the humans trying to navigate the markets it increasingly distorts.
Japan's financial sector urged to prepare for AI-powered cyberattacks
Japanese financial regulators urged institutions to prepare for cyberattacks powered by frontier AI, amid concerns that tools like Anthropic’s Claude Mythos could be exploited.
BlackRock's Li Sees Earnings Momentum Driven by AI
BlackRock Chief Investment Strategist Wei Li says artificial intelligence is driving a lot of the major earnings upgrades in equity markets. "We can look at AI lifting the whole market, but identifying where the bottlenecks are is a good active play," Li tells Bloomberg Television. (Source: Bloomberg)
Bank Boss Apologizes for ‘Lower-Value Human Capital’ Comment
The Standard Chartered CEO was talking about AI and job losses, in an example of the difficulties of describing the technology’s impact in the workplace.
Standard Chartered boss apologises for ‘lower-value human capital’ comments amid job cuts
Bill Winters faced backlash over remarks about some of near 8,000 staff set to lose roles to AI The chief executive of Standard Chartered has apologised for referring to some of the almost 8,000 staff that are set to lose their jobs to artificial intelligence as “lower-value human capital”. Bill Winters offered the apology after a backlash over comments he made earlier this week as the London-head
AI mega-cap IPOs tempt retail buyers
With SpaceX, OpenAI, and Anthropic moving toward IPOs, finance experts warn that retail investors should be cautious, as early insiders may use the public offering to exit and take profits.
Viewpoint: Insurers Cautiously Navigate the Next Steps in AI Adoption
As more and more companies embed AI into select functions, only a portion indicate that they have used AI to change how an overall enterprise runs. It
Council Post: Autonomous Data Stewardship: How AI Agents Are Redefining Master Data Management In Financial Services
ADS is about building systems where probabilistic intelligence supports deterministic decision-making without sacrificing precision or explainability.
AI Debt Boom Sparks Warnings
Danielle Poli, Managing Director and Co-Portfolio Manager of Global Credit at Oaktree Capital Management joined Bloomberg Open Interest to break down the hidden risks behind the AI boom, why higher interest rates may be here longer than markets expect, and where investors are still finding 8–10% yields. She warns that massive AI debt issuance could create future cracks in credit markets, especially in private credit and leveraged loans. (Source: Bloomberg)
AI-driven finance transformation may shrink junior roles even as CFO role expands: Survey, ETCFO
About 64 per cent of CFOs expect the finance function to shift away from junior roles, while 91 per cent anticipate either flat or lower overall finance headcount.
AI Trade Still in 'Very Early Innings,' PNC's Agati Says
PNC Asset Management Chief Investment Officer Amanda Agati sees "a little bit of steam coming out of the market rally sails." She speaks on "Bloomberg Open Interest." (Source: Bloomberg)
Private Equity And Venture Capital Investors Continue To Navigate Challenging Business Environment, AI Disruption : Analysis | Crowdfund Insider
PitchBook has indicated that private equity and venture capital investors experienced a nuanced quarter in late 2025, as global markets demonstrated resilience amid trade tensions and geopolitical uncertainties. According to PitchBook's latest analysis, public markets benefited from AI-driven ...
ParlayMarket: Automated Market Making for Parlay-style Joint Contracts
arXiv:2603.22596v2 Announce Type: replace-cross Abstract: Prediction markets are powerful mechanisms for information aggregation, but existing designs are optimized for single-event contracts. In practice, traders frequently express beliefs about joint outcomes - through parlays in sports, conditional forecasts across related events, or scenario bets in financial markets. Current platforms either prohibit such trades or rely on ad hoc mechanisms that ignore correlation structure, resulting in inefficient prices and fragmented liquidity. We introduce ParlayMarket, the first automated market-making design that supports parlay-style joint contracts within a unified liquidity pool while maintaining coherent pricing across base markets and their combinations. Our main result is a convergence characterization of the resulting system. Under repeated trading, the AMM dynamics converge to a unique fixed point corresponding to the best approximation to the true joint distribution within the model class. We show that (i) parameter error remains bounded at stationarity due to a balance between signal and noise in trade-induced updates, and (ii) pricing error and monetary loss scale with this parameter error, implying that aggregate market-maker loss remains controlled and grows at most quadratically in the number of base markets. These results establish explicit limits on the information-retrieval error achievable through the trading interface. Importantly, parlay trades play a structural role in this convergence: by providing direct constraints on joint outcomes, they improve identifiability of dependence structure and reduce steady-state error relative to markets that rely only on marginal trades. Empirically, we show both in controlled simulations and in replay on historical Kalshi parlay data that this design achieves the intended scaling while remaining effective in realistic market settings.
Augmented Analytics and Decision Quality: The Role of Trust among Non-Technical BI Users
arXiv:2605.20198v1 Announce Type: cross Abstract: Augmented analytics has transformed how business intelligence (BI) systems support managerial decision-making. This is especially true for users without technical backgrounds, who increasingly rely on automated insights rather than manual analysis. BI research has previously concentrated on system adoption and user intention, with very little research examining the impact of AI-enabled analytics on decision quality and the cognitive mechanisms in between. Using the theory of cognitive delegation, this paper investigates the role of trust in augmented analytics and decision-making quality among non-technical BI users. 250 business professionals completed the survey, and the data were analyzed using partial least squares structural equation modeling (PLS-SEM). The results show that augmented analytics capabilities lead to a significant increase in perceived ease of use, perceived usefulness, and trust in BI systems. In addition, trust and usefulness influence BI adoption and improve decision quality. Furthermore, trust has a direct and positive impact on decision quality, highlighting its importance as an enabler of reliance on AI-generated insights. This study considers augmented analytics as a form of cognitive delegation and expands the scope of BI adoption research to include decision-making outcomes.
The Synthetic Yield Mastering the Structural Complexity of Specialized Commercial AI Hardware and Compute Infrastructure Finance - Loan Management Software by Fundingo
The Synthetic Yield: Mastering the Structural Complexity of Specialized Commercial AI Hardware and Compute Infrastructure Finance The rapid proliferation of large language models and generative artificial intelligence has fundamentally altered the risk-return profile of specialized infrastructure ...
AI, data, and regulatory risk: What's shaping surveillance in 2026
Discover findings from the 2026 Surveillance Benchmarking Survey: AI adoption, regulatory expectations, and data shaping compliance today.
Americans can’t spot a deepfake, and that’s a business crisis, not just a consumer problem
Presented by Veriff Americans can’t reliably distinguish real from AI-generated content, and that’s not just a media literacy problem; it’s a direct threat to how businesses verify identity online. New research finds that while many people are aware of deepfakes, their ability to distinguish them from reality is barely better than a coin flip. A 2026 survey conducted by Veriff and Kantar among 3,000 respondents in the United States, the United Kingdom, and Brazil shows Americans scoring just 0.07 on a scale where 0 represents random guessing. If people can’t distinguish authentic visual content, they can’t reliably distinguish authentic identities. In practice, that means the same users interacting with digital services are often unable to tell whether the person on the other side of a screen is real. That ineffectiveness has direct consequences for every digital business that relies on image- and video-based identity verification to confirm who is on the other side of a screen. That includes everything from customer bank onboarding and account recovery to marketplace seller verification, high-value ecommerce transactions, social platform authentication, and enterprise access control. In the U.S., those consequences are already material — synthetic identity fraud now accounts for billions in annual losses, and the tools to generate convincing fakes are now widely accessible. The report also identifies a small but high-risk cohort: the roughly 7% of users who perform poorly at detecting deepfakes, yet remain confident in their ability and rarely verify what they see. While this is small as a percentage, at scale it represents millions of accounts that are highly exploitable targets for fraud. If users can’t reliably distinguish real from synthetic identities, then any system that depends on visual verification is fundamentally exposed. Identity verification can no longer be treated as a compliance function; instead, it has to be built as core digital infrastructure. “Now that AI-generated content is becoming indistinguishable from reality, the human eye alone is no longer a reliable line of defense,” says Ira Bondar-Mucci, fraud platform lead at Veriff. "Businesses and policymakers in the U.S. need to close this awareness gap urgently, while simultaneously investing in automated verification technologies that can catch what humans simply can’t." The U.S. deepfake awareness gap is wider than expected The United States might be the global epicenter of generative AI development, but American consumers demonstrate the lowest familiarity with deepfakes among the three surveyed markets. Only 63% of U.S. adults are familiar with the term, compared to 74% in the UK and 67% in Brazil. “There’s a paradox at play,” Bondar-Mucci says. “The U.S. is the global epicenter of AI development, yet American consumers are the least familiar with one of its most dangerous byproducts. Historically, consumers have had higher baseline trust in digital content, with the conversation about fraud centered more on data privacy than on content authenticity. The problem is that low awareness doesn’t reduce risk, it amplifies it. If you don’t know what a deepfake is, you’re far less likely to pause and verify whether you've encountered one.” Human deepfake detection is barely better than a coin flip In practice, the randomness that characterizes consumer’s ability to distinguish real from fake is evident across the ways people assess different types of content. Video content proved to be especially difficult to assess, with fake videos frequently identified as authentic and real videos often flagged as fake. Even in side-by-side comparisons, respondents split their judgments close to evenly, another indication that visual inspection alone is no longer a reliable method for verifying authenticity. Overconfidence in deepfake detection creates a dangerous vulnerability Roughly half of U.S. respondents say they are confident in their ability to identify deepfakes, but that confidence far exceeds actual performance, demonstrating that self-assessment is effectively meaningless. Within that population, there’s that small but high-risk cohort: the approximately 7% of users who are inaccurate, yet overconfident in their ability and rarely verify suspicious content. “This confidence-competence gap creates a false sense of security that fraudsters are primed to use,” says Bondar-Mucci. “When people believe they can’t be fooled, they stop looking for the signs. That’s precisely when they’re most vulnerable, whether to a synthetic identity used in financial fraud or a fabricated video designed to manipulate trust.” For businesses, the implication is clear: any organization that still relies on manual review processes or customer self-attestation is inheriting this vulnerability directly. Human judgment is an increasingly unreliable safeguard, and verification needs to be built into systems by default. This means automated, technology-led, and not dependent on the end user’s self-assessment of their ability to tell real from fake. Americans are worried about deepfakes but trust platforms to handle them Concern about deepfakes is high across the U.S., with 79% of respondents reporting they are rather or extremely concerned about personal fraud and impersonation. The U.S. diverges from other markets in where that concern gets directed. Americans are more likely than UK or Brazilian respondents to trust social media platforms and digital services to identify and manage AI-generated content. That delegation of responsibility may be reducing individual vigilance at exactly the moment the threat is accelerating. “We’re seeing synthetic identities used to open fraudulent accounts and authorize transactions, and deepfake videos deployed to bypass basic verification checks,” he explains. “What makes this particularly urgent is the combination of great concern with relatively high platform trust. That gap between perceived and actual protection is exactly where fraud thrives.” The business case for automated identity verification has never been stronger The gap between what Americans believe they can detect and what they actually can is not a knowledge problem that awareness campaigns will resolve, but a design flaw in any system that places the burden of identity verification on unassisted human judgment. The effective response is not to remove humans from the verification loop, but to stop assigning them tasks that human perception can no longer perform reliably. Organizations that persist in relying on manual review processes or customer self-attestation are absorbing this vulnerability into their operations. The alternative is automated, AI-powered identity verification that operates at the point of interaction, detects synthetic media before a human decision is required, and does not depend on the end user’s ability to distinguish real from fake. “Seeing is no longer believing,” says Bondar-Mucci. “The companies that build verification infrastructure around that reality, rather than around the assumption that it will be otherwise, are the ones best positioned to sustain customer trust as the synthetic media landscape continues to evolve.” Sponsored articles are content produced by a company that is either paying for the post or has a business relationship with VentureBeat, and they’re always clearly marked. For more information, contact sales@venturebeat.com.
The Insurability Frontier of AI Risk: Mapping Threats to Affirmative Coverage, Silent Exposures, and Exclusions
arXiv:2605.18784v1 Announce Type: cross Abstract: The rapid diffusion of agentic AI has created a new coverage problem for commercial insurance: some AI-mediated losses are now affirmatively insured, some create silent-AI exposure under legacy cyber, technology errors-and-omissions (E&O), directors-and-officers (D&O), employment practices liability (EPLI), crime, and media policies, and others ar
Exclusive: Circle cofounder raises $30 million for Series A ‘AI-native bank’ Catena Labs
Sean Neville’s startup aims to build banking tools especially designed for AI agents.
US banks using AI to varying degrees to help vulnerable customers, Fed's Barr says
US banks are using artificial intelligence to varying degrees to help measure the financial health of their vulnerable customers, though these firms still have to surmount a number of challenges to support innovation.
We Asked Top Startup Investors How They Use AI. Here's What They Said. - Business Insider
Venture capitalists, including Ann Miura-Ko and Salil Deshpande, are leveraging AI for investment insights, deal sourcing, and developing internal tools.
CEO Walks Back Comment About Replacing ‘Lower-Value Human Capital’ With AI
Standard Chartered’s Bill Winters walked back his comments in a memo to bank employees on Wednesday.
Pension funds face growing AI concentration risk in venture capital as valuations soar - Pensions & Investments
Artificial intelligence companies’ escalating market values accounts for an increasing portion of the U.S. venture capital market.
When AI giants go public, will ordinary investors know if they are along for the ride?
Large index-tracking funds could soon gain automatic exposure to AI giants as companies such as OpenAI edge toward public markets.
Global banking watchdog wants broad AI sector engagement to help cut cyber risks
The Financial Stability Board is inviting AI developers to engage with it to help financial firms understand and manage cyber risks associated with frontier models.
UK payments startup Primer raises €86.2 million Series C to expand AI capabilities and accelerate US growth
Primer, a London-based payments infrastructure startup, today announced a €86.2 million ($100 million) Series C funding round to accelerate its investment in AI for payments and finance teams and to drive its expansion in the US. The round was led by Sofina, with participation from Peak XV Partners and continued backing from all existing investors, […]
Don't fight AI, HSBC CEO tells staff as banks begin job cuts | Reuters
LONDON/HONG KONG, May 20 (Reuters) - HSBC appealed to staff not to fight AI on Wednesday, saying it would destroy jobs while creating new ones, as banking rival Standard Chartered sought to calm workers over comments that the technology would replace "lower-value human capital".
Why AI Governance Is Essential for Insurance Claims Organizations
As AI use grows across P&C carriers, TPAs, and claims operations, so do concerns about fairness, accuracy, and accountability. Clear AI governance,
Polymarket opens public price discovery on private startups with Nasdaq Private Market deal - Startup Fortune
Polymarket has launched prediction markets for private-company milestones via a deal with Nasdaq Private Market, creating public price signals for startup
Standard Chartered to Cut 7,000 Back-Office Jobs by 2030: First Major Bank to Put AI on the Layoff Schedule
Standard Chartered became the first major global bank on Tuesday to formally attach a specific headcount-reduction number and a deadline to AI deployment, announcing at its investor and analyst day in Hong Kong that it will eliminate more than 15 percent of its corporate function workforce by 2030.
Banking's Most Boring Layer Is Quietly Becoming AI's Best ROI Story - Benzinga
The chatbots get most of the press. Some of the more measurable returns on AI in financial services are appearing in areas that do not look glamorous: compliance, AML, and fraud. The economics may now be influencing how some banks approach AI purchasing decisions · For a long time, compliance ...
A New Personal Finance Experience in ChatGPT
OpenAI is previewing a personal finance experience in ChatGPT that lets U.S. Pro users connect financial accounts and view spending.
Dissipation of Debt Financing Privilege on Corporate AI Washing: Evidence from China
arXiv:2605.16808v1 Announce Type: new Abstract: The rapid development of artificial intelligence motivates firms to engage in AI washing. This study examines whether strategic policy shocks increase debt financing costs for such firms. Leveraging China's 14th Five Year Plan as a quasi natural experiment, we identify AI washing through the residual between AI narrative intensity and patent output. External validation confirms this decoupling reflects strategic deception evidenced by subsidy extraction and future regulatory violations rather than benign ambition, supporting its validity as an AI washing proxy. Difference in differences estimations reveal that AI washing firms experience a 12.5 basis point relative increase in debt financing cost afterward. Joint estimation confirms simultaneous adjustments across financing and innovation margins. Management shareholding and analyst attention amplify the penalty while supply chain concentration and bank proximity attenuate it. Results remain robust across checks. Our findings illuminate how macro level policy shocks activate market discipline in emerging market debt markets.
The Viability of Blockchain Markets under Discrete Clearing and Paid Priority
arXiv:2605.17425v1 Announce Type: cross Abstract: This paper develops a model to evaluate the viability of blockchain markets as the sole venue for price formation. Blockchains clear at discrete intervals called block time, and transactions are executed sequentially according to priority fees paid by traders who compete for queue position. We show that these features undermine the viability of markets. Paid-priority ordering induces endogenous selection, where only traders with sufficiently high valuations participate. The participation cutoff rises with competition, which intensifies with lower information costs or higher liquidity demand. This hinders price discovery and biases prices. It also impairs liquidity: the cutoff concentrates trading among aggressive traders and increases adverse selection that liquidity suppliers absorb in a single clearing round. Although longer block times enhance consensus security, they amplify these effects and can cause markets to shut down.
Beyond Sentiment Classification: A Generative Framework for Emotion Intensity Evaluation in Text
arXiv:2605.16613v1 Announce Type: cross Abstract: We introduce a novel approach to emotion modeling that shifts the focus from identification to evaluation, addressing the limitations of discrete classification in applied domains such as finance. By constructing a dataset of emotional intensity scores and fine-tuning open-weight generative language models to output continuous values from 0-100, we demonstrate a more expressive, generalizable framework for sentiment and emotion analysis. Our findings not only outperform classification baselines but also reveal surprising generalization capabilities and transfer effects to related constructs such as sentiment and arousal. This work contributes to the interdisciplinary recontextualization of NLP by introducing emotion intensity evaluation as an alternative to classification, arguing that this shift better aligns with the needs of domains--such as finance--where the degree of emotional content is central to interpretation and decision-making.
EU taps Sweden’s EQT to manage major €5bn Scale-up Europe Fund
The EU has chosen Swedish investment giant EQT to run a new €5bn fund aimed at keeping Europe’s most promising deep tech companies on home soil. Read more: EU taps Sweden’s EQT to manage major €5bn Scale-up Europe Fund
How Startup Marketplaces Use AI for Investment Matching
AI-powered startup marketplaces match founders with compatible investors using machine learning in the investment ecosystem.
Pegs, Floats, and Forests: A Machine Learning Revisit of Exchange Rate Regimes and Growth in Transition Economies
arXiv:2605.17391v1 Announce Type: new Abstract: This paper combines traditional panel econometrics with random forest machine learning to revisit the relationship between exchange rate regimes and economic growth for 27 transition economies over 1991-2019. Exploiting the Couharde-Grekou (2024) probabilistic synthesis classification, the random forest approach non-parametrically confirms and sharpens what fixed-effects and system GMM estimation establish parametrically intermediate exchange rate regimes consistently underperform fixed arrangements, with growth penalties ranging from -1.0 to -10.4 percentage points, while floating regimes show negative but largely insignificant differentials. Beyond regime effects, the machine learning analysis reveals that the intermediate regime penalty is sharpest precisely where institutions are weakest - non-parametric validation that institutional capacity, not regime label alone, determines whether exchange rate anchoring pays off. The regime-growth relationship is further concentrated in the pre-2003 stabilization era and is absent among EU member economies, suggesting the growth dividend from exchange rate anchoring eroded as institutional convergence advanced. Together, these findings demonstrate how machine learning variable importance metrics can corroborate and enrich causal inference from panel methods, while supporting the view that exchange rate anchoring carried a meaningful credibility dividend during the formative phase of transition.
In Small-Business Credit, The AI Question Isn’t Settled And The Operators Disagree
After more than a decade of putting AI to work on small-business loans, the verdict is split. New 2025 Federal Reserve data and a regulatory rewrite are forcing the industry to pick a side.
Standard Chartered to cut more than 7,000 jobs as it steps up AI use
London-headquartered bank will reduce back-office jobs and aims to move some workers to new roles Standard Chartered plans to cut more than 7,000 jobs over the next four years as it increasingly uses artificial intelligence. The London-headquartered lender is one of the first major global banks to lay out plans to cut thousands of jobs, citing AI as a driver to make its operations slimmer as it seeks to increase its profitability and tackle competition. Continue reading...
StanChart to cut over 7,000 jobs, boost AI to replace 'lower-value human capital' | Reuters
And banks globally are scrambling to integrate frontier AI models and fend off rising cyber threats.
Wall Street Watchdogs Pause Some Cyber Exams After Mythos Shock
US regulators are pausing some cyber-related examinations of the largest banks, giving the lenders more breathing room as the firms dig into the risks exposed by Anthropic PBC’s new Mythos AI model.
Most advisors say AI portfolio construction is worth $500 a month - InvestmentNews
A survey from TacticalMind AI found 69% of advisors say a high-quality AI platform that makes investment recommendations and constructs portfolios is worth $500 monthly, while research-only tools are valued closer to $250.
Berlin-based bunch bags €30.1 million Series B to modernise Europe’s private markets infrastructure
bunch, a Berlin-based FinTech startup offering end-to-end infrastructure for European private markets, has closed its €30.1 million ($35 million) Series B to accelerate European commercial growth, deepen its automation and AI, and expand the platform into new geographies, asset classes, and workflows. The round was led by Portage, with participation from Illuminate Financial, significant follow-on […]
Quantum Futures Interactive: A Live Demonstration of Post-Quantum Blockchain Security, Infrastructure Tradeoffs, and Sustainable Distributed Trust
arXiv:2605.15991v1 Announce Type: cross Abstract: Advances in quantum computing introduce long-term security challenges for widely deployed public-key cryptographic systems used across blockchain platforms and decentralized applications. Although post-quantum cryptography (PQC) standards are emerging, understanding quantum risk remains fragmented across research, engineering, governance, and investment communities. This demo presents Quantum Futures Interactive, a live interdisciplinary demonstration platform combining educational visualization, participatory interaction, and cryptographic artifact generation to illustrate the transition from classical to quantum-resilient blockchain systems. Participants engage in a structured interaction flow including quantum threat education, sentiment capture, technology prioritization, infrastructure tradeoff exploration, and generation of post-quantum cryptographic outputs. The system integrates distributed trust concepts, sustainability-aware infrastructure considerations, and responsible innovation within an interactive decision framework. The demonstration supports interdisciplinary dialogue on blockchain resilience while aligning with United Nations Sustainable Development Goals (SDGs).
Chainalysis CEO Tracks Prediction Market Insider Trading
Jonathan Levin, founder and CEO of Chainalysis, joins Scarlet Fu and Tim Stenovec on "Bloomberg Crypto." Polymarket is partnering with blockchain analytics firm Chainalysis to help police its platform as prediction markets grapple with increased scrutiny over insider trading. (Source: Bloomberg)
Morgan Stanley issues China-only iPhones to its Hong Kong bankers
US bank’s move reflects rising concern over data security for staff travelling to mainland China
The CFO AI Stack: How AI Is Changing the Way Finance Leaders Bridge Data and Decision-Making - Insignia Business Review
The CFO mandate has always been expansive. With AI, what is changing now is the distance between having the answer and being able to use it.
Standard Chartered to replace ‘lower-value human capital’ with AI
Comments from CEO Bill Winters come as bank sets out plans to cut almost 8,000 jobs
AI boosts productivity but human judgement still key
Muzzafar Othman, chief operating officer of Permodalan Nasional, says firms are increasingly adopting AI to cope with rising cost pressures and improve operational efficiency.
Brendon Moodley - AXA UK | LinkedIn
Financial services leaders from Sanlam to Discovery Limited to Old Mutual South Africa are using AI to transform: Underwriting Risk management Claims Fraud detection Customer-centric digital journeys are the new battlefield.
Financial Institutions Race to Adopt AI, but Adoption Outpaces Readiness, New BRG Research Reveals
/PRNewswire/ -- Long at the forefront of artificial intelligence (AI) adoption, financial institutions report that use of the technology is accelerating—but...
Citadel's Ken Griffin Says AI Is Now 'Real' After Years of Skepticism - Business Insider
Hedge fund billionaire Ken Griffin was one of the most prominent AI skeptics. Now he's had a change of heart, calling it "profoundly more powerful."
Palantir's AI Contracts Propel Market Cap Beyond $300 Billion
Palantir Technologies' shares rose, pushing its market cap over $300 billion, driven by AI contracts with government and commercial clients, solidifying its position in the AI sector.
AI-Driven Cyber Threats Biggest Risk to Markets: SEBI Chief
SEBI chairman Tuhin Kanta Pandey warns AI-driven cybersecurity threats are the biggest risk to market integrity, urges aggressive patch management.
Anthropic to brief global financial watchdog on cyber flaws exposed by Mythos
US tech group will discuss capabilities of its new AI model with members of the Financial Stability Board
Anthropic to share Mythos cyber flaw findings with global finance watchdog
Startup has declined to release Claude Mythos AI model publicly amid fears it could be used by hackers Business live – latest updates Anthropic is to brief the global finance watchdog on the implications of its Claude Mythos AI model, whose potential threat to cyber defences has alarmed experts. The US startup will discuss Mythos with the Financial Stability Board (FSB), which is chaired by the governor of the Bank of England, Andrew Bailey. Continue reading...
IMF Warns AI Has Made Cyber Risk a Financial Stability Threat
AI is simultaneously the biggest threat to financial system security and the most powerful tool for defending it. The IMF is sounding the alarm on systemic risk.
Silicon Data CEO on Creating Futures Market for Computing Power
US derivatives exchange CME and index provider Silicon Data are teaming up to create a futures market for AI computing power. Silicon Data CEO Carmen Li joins Caroline Hyde on "Bloomberg Tech" to discuss why she thinks compute will be a top global commodity. (Source: Bloomberg)
GESD: Beyond Outcome-Oriented Fairness
arXiv:2605.15295v1 Announce Type: cross Abstract: Machine learning (ML) algorithms are increasingly deployed in high-stakes decision-making domains such as loan approvals, hiring, and recidivism predictions. While existing fairness metrics (e.g., statistical parity, equal opportunity) effectively quantify outcome-oriented disparities, they offer limited insight into the procedure or explanation behind biased decisions. To address this gap, we propose Group-level Explanation Stability Disparity (GESD), a \textit{procedural-oriented} fairness metric that measures disparities in the stability, robustness, and sensitivity of model explanations across different subgroups in a protected category. %GESD is explainer-agnostic, model-agnostic, and extends the scope of fairness analyses to the level of explainability. We further integrate GESD into a multi-objective optimization framework that jointly optimizes for utility, outcome-based fairness, and explanation-based fairness called FEU (Fairness--Explainability--Utility). Empirical results on multiple benchmark datasets show that GESD effectively captures group-wise discrepancies in explanation quality, and that FEU improves both utility and fairness over state-of-the-art methods. By bridging outcome-based and explanation-based fairness, GESD offers a comprehensive tool for diagnosing and mitigating bias in predictive modeling. Our code and datasets are available on GitHub {\hyperlink{https://github.com/horlahsunbo/GESD}{https://github.com/horlahsunbo/GESD}}
Privacy is Fungibility: Why Endogenous Tokens Are Not Money
arXiv:2605.15934v1 Announce Type: cross Abstract: In this paper, we make a case that endogenous tokens such as cryptoassets are not money. First, we define and classify tokens found on public, permissionless ledgers, contrasting them with privately issued stablecoins and proposed CBDC designs. We then discuss the work of Kahn et al in Money is Privacy on cash versus simplified credit, and we extend their analysis to the situation found on most public, permissionless ledgers. Many public, permissionless ledgers utilize an account-based abstraction for balances, resulting in a default state that maps onto the most harmful models of agent interaction enumerated in Money is Privacy. The conclusion is threefold: that most blockchain economies lack a cash-like primitive; that stablecoins do not intrinsically fulfil this role; and that the reliance of a network on an endogenous token for security exposes holders even of a privacy-preserving asset to the same risk, if that asset relies on the same global ledger state as the endogenous token.
Fair outputs, Biased Internals: Causal Potency and Asymmetry of Latent Bias in LLMs for High-Stakes Decisions
arXiv:2605.15217v1 Announce Type: cross Abstract: Instruction-tuned language models exhibit behavioural fairness in high-stakes decisions while retaining biased associations in their internal representations. However, whether these suppressed representations can affect model outputs - and whether such causal potency is symmetric across demographic groups - remains unknown. We investigate the use
AI boom could end the de-equitisation ‘put’
This US bull market has not been accompanied by the usual deluge of equity issuance. Until now
AI Reshapes Venture Capital Valuation and Liquidity | Let's Data Science
The World Economic Forum published a report, "The Future of Venture Capital: Unlocking Liquidity and Growth," documenting strains in the VC recycling model and mounting capital tied up in private markets. The WEF reports nearly **$3.5 trillion** in global venture capital assets under management ...
AI Venture Funding Reaches New Highs In Q1 2026, Report Reveals | Crowdfund Insider
PitchBook has indicated that venture capital activity in artificial intelligence reached explosive new levels during the first three months of 2026, according to PitchBook’s latest research preview. Total AI-related investments climbed to $255.5 billion in the quarter—surpassing the entire ...
Artificial Intelligence: Why it’s a productive, not destructive, force for capital markets - The Economic Times
Artificial intelligence is rapidly transforming capital markets by automating trading, research and portfolio management functions once handled manually. While AI is improving efficiency and productivity across finance, experts believe human judgment, relationships and strategic decision-making ...
The Bank, FCA and HM Treasury joint statement on Frontier AI models and cyber resilience
# The Bank, FCA and HM Treasury joint statement on Frontier AI models and cyber resilience | Bank of England Published: 2026-05-15T14:00:28+00:00 ## Summary The Bank, FCA and HM Treasury have issued a joint statement on Frontier AI models and cyber resilience. The current frontier AI models are already exceeding what a skilled practitioner could achieve, with capabilities at a higher speed, scale, and lower cost. These capabilities could amplify cyber threats to firms' safety and soundness, customers, market integrity, and financial stability. Regulated firms and financial market infrastructures (FMIs) need to take action to mitigate cybersecurity risks posed by frontier AI. The Government and UK financial authorities judge that firms should be taking active steps across several domains, including governance, threat containment, and cyber response capabilities. Firms should be prepare
Bank of Canada Sees AI as Possible Boost to Country’s Ailing Productivity
Bank of Canada Sees AI as Possible Boost to Country’s Ailing Productivity The Bank of Canada struck an optimistic tone on the economic impact of artificial intelligence, arguing that widespread adoption of the technology will boost the country’s ailing productivity without significant job losses. In her first speech as external deputy governor, Michelle Alexopoulos extolled AI for its potential to increase output per hour worked, adding that it could also improve business competitiveness, boost wages for workers and create cost savings for consumers. The productivity gains from AI depend on whether the technology ends up being the so-called general purpose type, like computers, where use spreads throughout the entire economy and create positive spillovers and structural change. In a wide-ranging speech in Ottawa, she pointed to a bank survey in the financial sector, where many respon
UK financial services firms warned of frontier AI cyber risks by govt, regulators
UK financial authorities have warned firms to strengthen governance and oversight to mitigate cybersecurity risks posed by frontier AI models like Claude's Mythos and OpenAI's GPT 5.5.
State Farm CEO is betting big on AI—and contemplating the company’s future in California
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Hackers Armed With AI Stoke Fears for $130 Billion Crypto Sector
The crypto hacks came a little over two weeks apart in April, netting the attackers almost $600 million in total while triggering an investor exodus from one major platform and causing another to fail.
iDenfy teams up with RATO
– Advertisement – RegTech company iDenfy is strengthening its footprint in European banking through a new partnership with Lithuanian lender RATO bank, as financial institutions accelerate the shift toward fully digital onboarding. The integration brings iDenfy’s AI-powered identity verification and automated AML screening directly into RATO’s mobile banking app, enabling new customers to complete full […]
India PE-VC investments to remain cautious in 2026 amid AI disruption: Bain - The HinduBusinessLine
Bain says India’s PE-VC market may stay cautious in 2026 due to AI disruption and tighter liquidity despite strong domestic demand trends.
Family investors turn to old-economy businesses like dealerships and fisheries to avoid AI disruption
While car dealerships and fisheries are less eye-catching than high-flying AI startups, they offer stability and cash flow that's attractive to family offices.
Iran war poses greatest threat to US financial stability, US Fed survey shows
A Federal Reserve survey indicates that the Iran war is a primary threat to US financial stability, with AI systems potentially introducing new security vulnerabilities.
The End of the Trade-Off: How AI Agents Broke The Onboarding Trilemma
Brex redesigned its customer onboarding process using AI agents to automate document review and fraud analysis, reducing processing time from days to minutes.
Data readiness for agentic AI in financial services
Financial services companies have unique needs when it comes to business AI. They operate in one of the most highly regulated sectors while responding to external events that are updated by the second. As a result, the success of agentic AI in financial services depends less on the sophistication of the system and more on…
A European central bank has signed a mega deal with a cloud service provider. The problem for Google, Microsoft and Amazon? It’s not with them
Originally built to support the retail business, Schwartz Digits is now a trusted provider of secure data services to European businesses and governments.
AI Is Making the Cyber-Thriller Less Fictional | AEI
The infrastructure of modern economic life—financial systems, energy grids, hospital networks—is built on the assumption that the most dangerous hackers are rare. That assumption has a fast-approaching expiration date.
Prudential - Powering AI-Driven Advisor Workflows in Life Insurance | AWS Events
Prudential is utilizing generative AI and multi-agent architectures to streamline life insurance advisor workflows, reducing administrative overhead and improving productivity.
Do Fair Models Reason Fairly? Counterfactual Explanation Consistency for Procedural Fairness in Credit Decisions
arXiv:2605.12701v1 Announce Type: cross Abstract: Machine learning algorithms in socially sensitive domains (e.g., credit decisions) often focus on equalizing predictive outcomes. However, satisfying these metrics does not guarantee that models use the same reasoning for different groups. We show that existing outcome-fair models can still apply fundamentally different reasoning to individuals, a ``hidden procedural bias'' missed by standard fairness metrics and algorithms. We propose Counterfactual Explanation Consistency (CEC), a framework that detects and mitigates this bias by aligning feature attributions between individuals and their counterfactual counterparts. Key contributions include a nearest-neighbor counterfactual generation method, a modified baseline for integrated gradient comparisons, an individual-level procedural fairness metric, and a corresponding training loss. We introduce a taxonomy identifying ``Regime B'' (same outcome, different reasoning) as a critical blind spot. Experiments on synthetic data, German Credit, Adult Income, and HMDA mortgage data demonstrate that outcome-fair baselines exhibit substantial hidden bias, while CEC substantially reduces it with modest utility cost.
AI Infrastructure: From Zero to $100B and Beyond: How the Emergent Sector Is Reshaping the Non-IG Market
Explore AI Infrastructure: From Zero to $100B and Beyond. Discover how financing shapes the future of AI development.
Former Up Bank team raises $4 million for AI finance startup
Former Up Bank execs have raised $4 million for Extraordinary Money (XMO), a Melbourne startup building AI-native consumer finance products.
SoftBank profits surge on $25bn gain for OpenAI stake
Japanese group books net income of $11.6bn in fourth quarter, vastly ahead of analyst expectations
Fill-Side Non-Retail Trading on Polymarket: An Empirical Study of Behavioral Tiers and Microstructure Signatures Under Quote-Attribution Constraints
arXiv:2605.11640v1 Announce Type: cross Abstract: Prediction markets cannot exist without market makers, arbitrageurs, and other non-retail liquidity providers, yet the supply-side microstructure of Polymarket-class venues has not been characterized at on-chain pseudonymous-address scale. This paper studies non-retail participation on Polymarket using an empirical run on the PMXT v2 archive over 2026-04-21 through 2026-04-27 (13,356,931 OrderFilled events; 77,204 addresses with five+ fills; 43,116 markets). We report three findings. First, Polymarket's off-chain CLOB architecture renders address-level quote-lifecycle attribution permanently unavailable: OrderPlaced and OrderCancelled events are off-chain and absent from public archives, so quote-intensity, two-sided-ratio, and posted-spread features cannot be built at address level. We document this as a structural validity-gate failure (G-QUOTE-LIFE universal fail) and restrict analysis to a six-feature fill-side vector. Second, density-based clustering (DBSCAN, fifteen sensitivity configurations) on the fill-side vector produces a single dense cluster with zero noise: fill-side behavior in the empirical window is uni-modal under the six-feature vector, contradicting the pre-registered hypothesis of four-to-five separable archetypes. Third, robust retail vs non-retail separation is achievable through clustering-independent feature-tier stratification: whale-tier, high-frequency-operator, and power-trader tiers jointly hold 81.4% of total notional across 12.6% of addresses. Address-level market-making and liquidity-provision claims are withdrawn per the G-QUOTE-LIFE failure; spoof-by-non-fill manipulation detection is downgraded to market-level book diagnostics. A privacy-respecting derived-dataset deposit accompanies the paper as Bundle 3 of the PMXT family. Fourth paper in a four-paper programme on event-linked perpetuals and leveraged prediction-market microstructure.
US bank reports itself after slinging customer data at 'unauthorized AI app'
The volume and sensitivity of the data shared with an unauthorized AI application are cited as chief concerns.
Mistral Developing New AI Model for Banks Lacking Mythos Access
French artificial intelligence startup Mistral AI is in discussions with European banks about deploying its answer to Anthropic PBC’s Mythos, the limited-access AI model that can uncover cybersecurity vulnerabilities at unprecedented speed and scale.
$300 Billion AI Debt Binge Spreads From Wall Street to Tokyo
Bankers were still putting the final touches on Alphabet Inc.’s blockbuster $17 billion of bond sales when word started to spread Monday morning on Wall Street: the company is already hawking more debt.
AI Enabled Cyberattacks Are Increasing Financial Stability Risks : Analysis | Crowdfund Insider
The International Monetary Fund (IMF) has issued a fresh alert on the growing dangers to global financial stability from artificial intelligence. In a blog post dated May 7, 2026, the IMF explains how AI is reshaping both the vulnerabilities and defenses of the financial system.
South Korea Vs. U.S.: Who Wins The AI Trade? (NYSEARCA:EWY) | Seeking Alpha
South Korea’s KOSPI is emerging as an AI infrastructure play with 2026 earnings seen as +300% and a 9x P/E. Read what investors need to know.
Financial Services Firms Lead Enterprise AI Adoption as 85% Boost Budgets | PYMNTS.com
A PYMNTS Intelligence study finds financial services firms lead other sectors in enterprise AI deployment.
Japan, US tackle AI cyberthreats as megabanks prepare to access Mythos
Japan is accelerating efforts to address cybersecurity risks from frontier artificial intelligence models in cooperation with the US, as three major Japanese banks are reportedly set to gain access to Anthropic's Claude Mythos Preview.
Venture Capital Funding: Samaya AI, Nexthop AI, Deccan AI - InfotechLead
Technology companies such as Samaya AI, Nexthop AI, and Deccan AI, among others, announced venture capital funding across financial AI agents
US Fed revamping its infrastructure to cope with AI, legislative changes, Waller says
The US Federal Reserve is updating its infrastructure to adapt to the challenges posed by artificial intelligence and evolving legislative requirements.
Market Talk: AI trade a 'landmine for investors' | Reuters
Dean Smith, chief strategist and portfolio manager at FolioBeyond, said that given the small number of AI -linked stocks driving the S&P 500 to record highs, "any significant hiccup to the AI trade" could bring "pretty rough times" for the rest of the market. Lisa Bernhard reports.
Q1 2026 AI VC Trends - PitchBook
The Q1 2026 AI VC Trends report provides an analysis of recent VC activity and includes a market map of leading VC-backed companies in the space.
IMF warns of financial risks as AI boosts cyberattacks
IMF warns that AI amplifies cyber threats, risking financial stability. Calls for resilient policies and international cooperation to combat emerging risks.
Groww Shares in Focus as ₹4,750 Crore Block Deal Buzz Coincides With Six-Month Lock-In Expiry - Best Stock Market Blogs & Investment Insights | Equentis
For market participants, this combination matters. Lock-in expiries and block deals often provide clues about investor confidence, liquidity events, startup valuations, and broader market trends.
Manipulation, Insider Information, and Regulation in Leveraged Event-Linked Markets
arXiv:2605.10486v1 Announce Type: cross Abstract: The introduction of leverage on prediction-market event contracts raises three structurally distinct questions that have not been addressed jointly: how leverage changes manipulation incentives, how it interacts with informed-trading rents, and how regulatory frameworks should respond. This paper develops a theoretical framework for the first two and a synthesis of the existing regulatory landscape for the third. The principal analytical move is a two-axis manipulation taxonomy distinguishing market-price manipulation from real-world outcome manipulation, where the manipulator affects the underlying event itself. Continuous-underlying derivative markets generally do not make outcome manipulation a venue-level payoff channel; event-linked markets do. Within this taxonomy, leverage plays asymmetric roles: it scales market-price manipulation linearly but shifts the cost-benefit threshold for outcome manipulation, and it scales informed-trading rents in three ways (direct multiplication, Sharpe-ratio preservation, detection-cost amortization). Section 7 connects Paper 1's pre-emption and halt-protocol findings (CC-007b, CC-008) to three manipulation channels: pre-emption introduced by the dynamic-margin engine, halt-arbitrage introduced by the resolution-zone halt protocol, and strategic bad-debt-shifting that no engine in Paper 1's framework family addresses. The framework's manipulation-resistance contribution is a re-allocation of attack surface, not a net reduction. The regulatory synthesis covers principal jurisdictions (US, EU, UK, Singapore, offshore) and identifies three regulatory-arbitrage pathways. The paper concludes with 14 recommendations for venue operators, regulatory bodies, and the research community, separated into framework-independent and framework-conditional categories.
AI ROI In Banking Remains Elusive. Here’s Why
AI won't transform banking by replacing old workflows. Find out why ROI remains elusive and the 3 shifts that change everything for financial leaders
Goldman Sachs sees enterprise AI spending hinging on productivity gains | Prism News
Goldman’s message is clear: AI budgets will go to teams that can prove productivity gains fast, while pilots without measurable ROI face tighter scrutiny.
Closing the Shadow AI Gap: New Compliance Deadlines for Financial Institutions • Dev|Journal
Financial institutions face a critical gap between AI deployment and regulatory compliance with OSFI E-23 and SR 11-7 standards.
Australia Watchdog Says Money Launderers Ramping Up AI for Scams
Australia’s financial crimes watchdog warned of a heightened threat of money laundering linked to artificial intelligence that has been used by crooks to scale up activities, automate processes and create fake documents.
South Korea enhances privacy risk prevention measures under AI transformation
South Korea's privacy regulator is shifting to a preventive management framework for high-risk AI systems and increasing potential fines for privacy violations to up to 10 percent of revenue.
Calibrating Behavioral Parameters with Large Language Models
arXiv:2602.01022v3 Announce Type: replace Abstract: Behavioral parameters such as loss aversion, herding, and extrapolation are central to asset pricing models but remain difficult to measure reliably. We develop a framework that treats large language models (LLMs) as calibrated measurement instruments for behavioral parameters. Using four models and 24{,}000 agent--scenario pairs, we document systematic rationality bias in baseline LLM behavior, including attenuated loss aversion, weak herding, and near-zero disposition effects relative to human benchmarks. Profile-based calibration induces large, stable, and theoretically coherent shifts in several parameters, with calibrated loss aversion, herding, extrapolation, and anchoring reaching or exceeding benchmark magnitudes. To assess external validity, we embed calibrated parameters in an agent-based asset pricing model, where calibrated extrapolation generates short-horizon momentum and long-horizon reversal patterns consistent with empirical evidence. Our results establish measurement ranges, calibration functions, and explicit boundaries for eight canonical behavioral biases.
CME plans to launch futures market for AI computing power
New contracts will allow traders and companies to bet on and hedge future price of GPU rental
Pictet Fund Plows 30% of Cash Into AI Stocks on Risk Revival
A $3.5 billion multi-asset fund at Pictet Asset Management has sharply raised its equity exposure, shifting as much as 30% of its cash-equivalent holdings into artificial-intelligence heavyweights across Asia and the US.
Weekly Compass #14: Yes, AI Is Still Working. No, It's Not the Only Trade.
On AI , management said on the Q4 call that AI revenue isn’t materializing yet but competitive disruption isn’t showing up either, so any updated commentary on how AI is affecting subsidiary performance matters.
Implementing advanced AI technologies in finance | MIT Technology Review
In finance departments that have long been defined by precision and control, AI has arrived less as a neatly managed upgrade than as a quiet insurgency. Employees are already using it while leadership races to impose structure, governance, and strategy after the fact.
AI M&A surges as software captures nearly three-quarters of North American deals - InvestmentNews
S&P Global report shows AI transactions hit record levels, with software dominating investor interest.
AI Stocks Drive S&P 500's 142% Gain Since 2024 | Let's Data Science
CryptoBriefing reports that from May 2024 to June 2026 the **S&P 500** posted a **142%** gain, but the index would have advanced just **16%** over the same period if AI-related stocks were excluded. CryptoBriefing also reports that AI-linked companies now represent **45%** of the S&P 500's ...
Toward Individual Fairness Without Centralized Data: Selective Counterfactual Consistency for Vertical Federated Learning
arXiv:2605.07117v1 Announce Type: new Abstract: When algorithmic decisions depend on data distributed across institutions, how can we ensure that an individual's outcome does not change arbitrarily based on a protected attribute? We study this question in vertical federated learning (VFL), where features are split across parties, sensitive attributes may be private, and proxies for protected characteristics can be scattered across institutional boundaries under strict privacy constraints. Our focus is on individual-level counterfactual stability, i.e., per-instance prediction consistency under protected-attribute interventions as formalized in the causal fairness literature, rather than group parity guarantees such as demographic parity or equalized odds. We propose SCC-VFL, a server-centric framework for enforcing selective counterfactual consistency (SCC) at the individual level in VFL. SCC-VFL operationalizes a given policy specification by combining three components: (i) differentially private, graph-free discovery of feature roles into non-descendants, policy-permitted mediators, and impermissible proxies using only a formally private sketch of the sensitive attribute, with a formal per-release privacy that does not extend to the full training pipeline; (ii) masked counterfactual generation that edits only mediators while fixing non-descendants and suppressing proxy leakage; and (iii) server-side enforcement via an SCC consistency loss that penalizes impermissible prediction changes under protected-attribute interventions. Across three real-world datasets spanning credit, healthcare, and criminal justice, SCC-VFL maintains or improves predictive accuracy while sharply reducing decision flip rates by up to 98% relative to strong baselines. It also lowers attribute-inference attack success and improves robustness, demonstrating favorable utility-fairness-privacy trade-offs in realistic VFL deployments.
Implementing advanced AI technologies in finance
In finance departments that have long been defined by precision and control, AI has arrived less as a neatly managed upgrade than as a quiet insurgency. Employees are already using it while leadership races to impose structure, governance, and strategy after the fact. The result is a paradox: one of the most tightly regulated functions…
Demutualization, AI and the independent advisor - Investment Executive
The era of the charismatic generalist whose personality wins the business is over
Circle Launches AI Infrastructure to Power Agentic Economy - Markets Media
The next phase of the global economy will be increasingly AI and agent-driven.
LPs fight tooth and nail for foundational AI co-investment share - PitchBook
Competition for deals involving the largest pre-IPO AI companies, like OpenAI and Anthropic, is separating the strongest LPs from the weakest.
Fidelity is growing its work force by thousands. Blame AI. - The Boston Globe
The Boston financial services giant is cutting about 1,000 jobs, but it's adding more. The company needs real-world techies and other hands-on workers to roll out key products and services right now.
AI Productivity Boom Reshapes Mortgage Rate Dynamics | Let's Data Science
Wall Street coverage frames a potential long-term decline in borrowing costs as linked to AI-driven productivity gains. According to Jim Iuorio in articles published on Seeking Alpha and republished by CME Group, analysts are "increasingly bullish on lower rates in the long term" as AI reshapes ...
Why AI's Productivity Boom Could Impact Mortgage Rates | Seeking Alpha
Wall Street analysts are increasingly bullish on lower rates in the long term as AI reshapes lending economics. Read more here.
AI drives markets as valuations race ahead of earnings - The Business Times
Is this a legitimate re-rating of the technology sector, or an overstretched bubble? Read more at The Business Times.
S&P 500 and Nasdaq notch records, boosted by AI and earnings optimism | Reuters
May 8 (Reuters) - The S&P 500 and the Nasdaq notched record highs on Friday, boosted by gains in Nvidia, Sandisk and other AI -related stocks, while a stronger-than-expected jobs report pointed to labor market resilience.
AI cyber capabilities raise risk of correlated financial system failures, IMF warns | Digital Watch Observatory
Regulators are urged to strengthen resilience and coordination as cyber threats evolve into potential macro-financial shocks.
ECB’s Escrivá Says AI Risks Prompt Finance Infrastructure Review
Central banks must review the resilience of financial infrastructure given the rise of artificial intelligence, as well as defend their role as the ultimate guarantor against risks posed by stablecoins, said European Central Bank Governing Council member José Luis Escrivá.
AI disruption, work pressure pushing BFSI employees towards exit, says report - BusinessToday
The report, titled “People Reality in BFSI – Three Workforce Imperatives,” said the sector is undergoing a major workforce transition as companies accelerate automation and Artificial Intelligence integration while simultaneously facing tighter regulations and financial volatility.
IMF Issues Warning on AI Cyber Threats to Financial System | 2026 - News and Statistics - IndexBox
The IMF warns that AI-driven cyberattacks pose a growing danger to the global financial system, citing Anthropic's Claude Mythos Preview model as an example of how advanced AI can exploit vulnerabilities. The organization urges policymakers to treat cybersecurity as a core stability issue and ...
How AI, Global Tensions Strain Secure Data Sharing
AI adoption and geopolitical instability are forcing governments to modernize cross-domain architectures as manual approvals, delayed transfers and insecure