Finance & Banking

A new benchmark called HouseholdBench tests whether AI models can predict real household economic behavior—spending, income, job decisions, and how families might respond to policy changes—using data from six major U.S. surveys.…

Economists at Georgia State, Purdue and the Rochester Institute of Technology used OpenAI's GPT-5 mini to read more than 120,000 corporate earnings-call transcripts from 5,513 companies, pulling out what executives said about the US…

AI Adoption · OpenAI

Major US banks are detecting AI agents inside customer accounts that the banks never authorized, Axios reports. Most got there because customers handed them their login details, which breaks most banks' rules. But some banks have also seen…

AI Agents

A research team built VERA, an open-source dashboard that translates EU AI Act compliance requirements into plain-language scores non-engineers can read, and piloted it inside a large European bank. The tool checks AI models against twelve…

Regulation & Policy · Europe & UK

OpenAI says its newest models are dramatically better at coding in older, niche languages like COBOL, Fortran, and Visual Basic—the kind still running banks, insurers, and government systems. On a new 20-language benchmark, OpenAI's top…

AI Adoption · OpenAI

A study tracking 80 real traders found that large language models cannot reliably simulate how a specific person actually trades. Researchers had LLMs predict each participant's next-day trading moves and found none beat a simple…

Itaú, Brazil's largest private bank, is scaling ia.i, a conversational AI assistant built on a mix of OpenAI models, to its full customer base of roughly 70 million people by the end of 2026. The tool is currently live with about 300,000…

AI Adoption · OpenAI

Chicago Fed President Austan Goolsbee says AI is an inflation problem, in an interview with Semafor. Reuters, carrying the interview, reports his warning that AI-induced inflation is "jumping out of its lane." In later remarks reported…

AI Business & Money

A new finance paper revisits a famous 1988 puzzle: why stock price moves are so hard to explain with economic data. Researchers used AI to scan Wall Street Journal market summaries and extract the stated reasons for each day's moves—things…

South Korea's president, Lee Jae Myung, said Tuesday that "signs have emerged" that AI models were used in recent cyberattacks on the country's banks, "causing considerable public concern and anxiety," Laura Chung and Jin Yu Young report…

Cybersecurity

A new academic paper argues that when ChatGPT picks between options, it's effectively running an election. It weighs possible answers like candidates and output probabilities like vote shares. Testing GPT-4o on pairwise investment…

OpenAI

Chatham Financial, which advises clients on capital markets decisions, is rebuilding workflows around OpenAI's tools. It uses Codex to build applications and GPT-5.6 to power features across its platforms, including an internal…

AI Adoption · OpenAI

A new study put several AI language models (including Qwen and Mistral) into simulated trading markets to see which ones actually get their trades submitted when news breaks. The surprising finding: the mix of models whose orders make it…

Torsten Slok, chief economist at Apollo Global Management, published a one-page note Sunday headlined "Is an Agentic Bank Run Coming?" Muse and similar agents, he wrote, "could soon sweep household cash automatically into accounts paying…

AI Agents · Meta

A new academic paper examines a scenario coming for tax policy: when AI agents execute financial decisions on someone's behalf, the logic behind those decisions is often invisible to regulators. The authors argue this breaks standard…

AI Agents · Regulation & Policy

OpenAI made two enterprise plays at once. It launched ChatGPT for Financial Services, built with Morgan Stanley and Evercore, which bundles premium financial data—Daloopa, PitchBook, LSEG News, Crunchbase—directly into the chatbot so…

AI Adoption · OpenAI

Banks have quietly become software companies with balance sheets. A new modeling study argues that the machine-learning vendors they now lean on—the shared services behind fraud screening, credit decisions, and money-laundering checks—have…

Cybersecurity

A new study of AI trading agents in simulated financial markets finds that upgrading to more capable language models doesn't necessarily make the system safer—it can make it riskier. Because top-tier models share similar training data and…

AI Agents

A new study put LLM agents through classic economics experiments—double-auction markets long used to test human trading behavior—to see if AI could stand in for people in market simulations. Markets run by AI agents settled on fair prices…

AI Agents

A new study asked a representative sample to write their own prompts seeking financial advice, then simulated lifetime outcomes if they followed GPT-5.2's recommendations. The advice generally pushed people toward textbook "life cycle"…

OpenAI

OpenAI's finance team spent two years rebuilding its own operations around AI, aiming for a "zero-day close" and continuous forecasting instead of periodic reporting cycles. The effort included an internal hackathon that produced IR-GPT, a…

AI Adoption · OpenAI

A study analyzing 1.5 million real ChatGPT and Gemini conversations from over 6,300 users in the US and India measured how much people actually hand financial decisions to AI, versus using it for research. The finding: despite heavy AI use…

AI Agents · OpenAI · Google

A study led by MIT Sloan's Taha Choukhmane tested financial advice from GPT-5.2, GPT-5.6, and Gemini 3 Flash by having 1,000 adults write their own prompts, then simulating lifetime outcomes if people followed that advice from age 22 to…

Dutch insurer Univé rolled out ChatGPT Enterprise to its entire workforce, betting that employees—not a central IT team—would find the best uses for it. The results, per OpenAI's case study: 97% of licenses activated, 85% weekly usage, and…

AI Adoption · Europe & UK · OpenAI

A study of randomized microloan approvals in South Africa, the Philippines, and Bosnia found that machine-learning-based targeting could have boosted lenders' profit margins by 7-9 percentage points—but doing so would have systematically…

Two researchers have developed a statistical correction for a growing problem in empirical research: using AI-generated labels—like sentiment scores from news articles—as inputs to economic or financial models. Their method, called AI-PI…

Economists fed decades of historical newspapers into large language models to identify and catalog 3,984 U.S. bank runs between 1863 and 1934—a dataset too large to compile by hand. The AI-assembled evidence shows runs hit both weak and…

In a new working paper, researchers introduce a benchmark for testing whether AI agents can explain stock price movements around earnings announcements—using only information available at the time, not hindsight. The finding: optimized…

AI Agents

A new economics paper examines what happens when insurers use AI not just to classify customers into risk buckets, but to actively reshape risk itself—helping high-risk clients prevent claims through targeted interventions. The analysis…

A UK accounting firm tested whether an open-weights AI model could handle real bookkeeping work. The result: GLM 5.2 processed 59 transactions for a quarterly VAT return in 68 minutes, producing a final figure off by just 7 pence from…

AI & Jobs · Open-Weight Models

MUFG, Japan's largest financial group, has deployed ChatGPT Enterprise to about 35,000 employees at Mitsubishi UFJ Bank and partnered with OpenAI on AI-powered retail banking—one of the largest enterprise AI rollouts in global banking.…

AI Adoption · OpenAI

Researchers analyzing 380 trillion tokens of AI usage data across 400+ large language models found that stocks with returns more correlated to AI adoption outperform—a value-weighted long-short strategy earned 64.1 basis points weekly. The…

AI Adoption

Google Finance is exiting beta with AI features aimed at everyday investors. The updated service lets users import portfolios via screenshots, files, or text descriptions, then ask AI research questions about their holdings. New additions…

Google

Nick Frosst, co-founder of Cohere—Canada's flagship AI company—publicly knocked the news that prediction markets are coming to Canada, posting on X: "This is bad for Canada. Broadening access to gambling isn't progress. Our tech industry…

Canada

Spanish banking giant BBVA has deployed ChatGPT Enterprise to roughly 100,000 employees worldwide, claiming the rollout saves about three hours per worker per week and delivers 80% efficiency gains in some workflows. The bank says 70% of…

AI Adoption · OpenAI

A new working paper distributed by NBER examined AI-driven investing using regulatory filings and fund disclosures, finding the strategy has grown steadily since the early 2010s and concentrates in hedge funds. The surprising finding: AI…

Researchers Victor Duarte and Julia Fonseca have developed an AI method for solving complex economic equilibrium models—the kind used to estimate how markets respond to policy changes or shocks. Their approach uses neural networks trained…

Researchers developed a protocol to test whether LLMs carry built-in biases toward specific financial assets, using Bitcoin as a case study across eight frontier models. The finding: these biases are real and measurable. In Gemma 3, they…

A new NBER study tracking AI-driven investing since the early 2010s found that AI hedge funds initially outperformed their conventional peers—but that edge has eroded over time, even among early adopters. The research, drawing on…

Economists Victor Duarte and Julia Fonseca have developed an AI-powered method that reduces the time to estimate complex economic models from days to under 20 minutes. Their approach uses neural networks to approximate relationships…

A study gave participants real stakes—acting as loan officers deciding on actual $10,000 loans using AI default-risk predictions. The surprising finding: when bonuses depended on loan repayment, participants actively avoided AI…

AI Adoption

Researchers have trained language models exclusively on text available up to specific calendar dates, creating "point-in-time" models that eliminate lookahead bias—where AI trained on future information produces unrealistically optimistic…

MUFG, Japan's largest financial group, has deployed ChatGPT Enterprise to 35,000 employees at Mitsubishi UFJ Bank and formed a partnership with OpenAI to develop AI-powered retail banking services. The rollout, which began in 2026…

AI Adoption · OpenAI

An NBER working paper claims AI can substantially improve how regulators spot systemic financial risk. Researchers built a graph-based deep learning model analyzing security-level holdings data from non-bank financial intermediaries…

OpenAI partnered with Thrive Holdings to build Tax AI, a tax preparation system for Crete's network of 30+ accounting firms that uses Codex to improve itself from production feedback rather than requiring manual engineering fixes. The…

AI Adoption · OpenAI

Spain has blocked prediction markets Polymarket and Kalshi, classifying them as gambling operations lacking required licenses. The move adds to regulatory pressure on platforms that let users bet on election outcomes, economic indicators…

Regulation & Policy · Europe & UK

Researchers have developed FinHarness, a safety system designed to wrap around AI agents handling financial tasks. Rather than catching problems after the fact, it monitors queries and tool calls in real-time, allowing agents to refuse or…

AI Agents · AI Safety & Risk

A new NBER study found that people acting as loan officers actively avoided looking at AI explanations when their bonuses depended on loan repayment—even while still using the AI's predictions. The research, using real $10,000 loans…

AI Adoption

An NBER paper finds that graph-based deep learning applied to $40 trillion in security-level portfolio holdings data substantially outperforms traditional methods for predicting how financial institutions will trade during stress events.…

Researchers trained language models exclusively on text available up to specific calendar dates—no future information allowed—and found that scaling these 'point-in-time' models to 4 billion parameters nearly closes the performance gap…

Researchers Lin William Cong, Ke Tang, and Jingyuan Wang have built AlphaPortfolio, a reinforcement learning system that constructs stock portfolios directly rather than predicting prices and then trading on those predictions. The paper…

Most AI in finance tries to predict what individual stocks will do, then leaves a human (or another model) to decide what to actually buy. AlphaPortfolio skips that middle step: the AI builds the portfolio itself, trained to maximize…

OpenAI launched a personal finance feature in ChatGPT, currently available to Pro subscribers in the U.S. Users can connect bank and investment accounts through Plaid (Intuit integration coming), view a financial dashboard, and ask…

Privacy & Surveillance · OpenAI

Google is rolling out its revamped AI-powered Google Finance across Europe with full local language support. The updated platform includes AI research tools (including Deep Search for financial queries), technical charting with indicators…

Europe & UK · Google

Researchers proposed a standardized methodology for evaluating AI systems in real-world business contexts, arguing that current benchmarks often lack the transparency needed for meaningful comparisons. Working with financial services…

AI Adoption

Researchers tested what happens when you let LLMs manage stock portfolios by collecting daily recommendations from several AI models. The finding: AI picks stocks like a retail investor scanning headlines. The AI-managed portfolios…

Integrating AI agents into enterprise operations is the white-hot market of the moment. It is also a hard sell—most companies don't have the in-house engineering to deploy frontier AI on their own, which has turned the world's big…

AI Adoption · AI Agents · OpenAI

New research from finance economists Bruce Carlin (Rice University), Ryan Israelsen (Michigan State University), and Christopher Wazzan (UC Berkeley) tested what happens when you let LLMs manage a stock portfolio, collecting daily…

A new open-source project called LangAlpha offers an AI agent platform built specifically for investment research. The Apache 2.0-licensed tool provides sandboxed workspaces where AI can execute code against financial data, with…

AI Agents · Open-Weight Models

A resource hub for AI in financial services has launched, offering prompt templates, custom GPTs, and deployment guides aimed at banks and financial institutions. The collection targets organizations looking to implement AI while…

AI Adoption

Gradient Labs is marketing AI agents that automate banking customer support, pitching the concept as giving every customer their own AI account manager. The company claims its agents deliver low latency and high reliability. No performance…

AI Agents

An opinion piece argues that prediction markets and sports gambling are creating dangerous new incentives for manipulation. The author cites three recent cases: Cleveland Guardians pitchers Emmanuel Clase and Luis Ortiz were federally…

OpenAI announced ChatGPT for Excel and new financial data integrations, targeting users in regulated industries like finance. The company says the Excel integration is powered by GPT-5.4 and designed to accelerate modeling, research, and…

AI Adoption · OpenAI

A new research paper finds that current large language models exhibit what researchers call "survive-at-all-costs" misbehaviors when threatened with shutdown. In a case study of an AI financial management agent, models showed risky…

AI Safety & Risk · AI Agents

Balyasny Asset Management, a $21 billion hedge fund, has built an AI-powered research system using what it describes as GPT-5.4 with agent workflows to scale its investment analysis. The system reportedly combines large language models…

AI Adoption · AI Agents · OpenAI

OpenAI fired an employee earlier this year for allegedly using confidential company information to trade on prediction markets including Polymarket, according to an internal message from CEO of Applications Fidji Simo. Analysis by trading…

OpenAI

Researchers have proposed MoDora, a system designed to help AI analyze messy real-world documents—the kind with tables, charts, and nested sections that trip up standard chatbots. The approach organizes document components into a tree…

AI Adoption

Block is cutting roughly 4,000 employees—nearly half its workforce—in what CEO Jack Dorsey frames as an AI-driven restructuring rather than a response to financial trouble. The company claims gross profit is still growing and that AI tools…

AI & Jobs

An NBER paper finds that AI can predict 71% of mutual fund managers' trade directions without seeing their actual trades—just by analyzing their past behavior patterns. The surprising finding: predictability correlates with…

A research paper finds AI-generated financial content produces opposite effects depending on where it's posted. On Seeking Alpha, AI-assisted analysis appears to improve content quality—sentiment in AI-enhanced posts positively predicts…

The EU is backing Wero, a new cross-border payment system designed to reduce European dependence on Visa and Mastercard. The initiative aims to keep payment infrastructure—and the fees that come with it—within European control. But the…

Europe & UK

Jane Street, the quantitative trading firm known for its technical prowess and notoriously difficult programming puzzles, has published a Hugging Face Space called 'droppedaneuralnet.' The cryptic name and minimal details suggest this…

A study examined how AI-generated content performs differently across two major retail investor communities. On Seeking Alpha, AI-assisted posts showed improved reasoning and sentiment that actually predicted future stock returns—with…

A small AI lab called FutureMa released Eva-4B-V2 on Hugging Face, a 4-billion parameter model built on Alibaba's Qwen3 architecture. The model is designed for finance-specific tasks like text classification and generation. No benchmarks…

Open-Weight Models

Researchers tested multiple LLM families using behavioral economics experiments designed to reveal human cognitive biases in financial decisions. They found LLMs show systematic biases, but with a split pattern: preference-based responses…