Fintech

JPMorgan Mandates AI Coding Tools, Links Adoption to Performance Reviews JPMorgan Chase is taking a firm stance on artificial intelligence, now requiring its software engineers to integrate AI tools into their daily workflow. This new directive is directly tied to employee performance reviews. The bank has rolled out new performance objectives for its 65,000-strong Global Technology team, with the explicit goal of achieving measurable improvements in code quality, speed, and overall productivity. To ensure compliance, JPMorgan is using internal dashboards to monitor the adoption and usage frequency of AI coding assistants like GitHub Copilot. This move aligns with a broader industry trend, as tech giants like Google, Meta, and Amazon also incorporate AI tool usage into their performance metrics. Engineers who fail to adopt these tools may face a lower performance rating. ...

US Regulators Highlight AI’s Growing Role in Banking for Fraud Detection and Underwriting A U.S. House Financial Services subcommittee convened on March 26, 2026, to examine the integration of artificial intelligence within the financial sector. Testimonies from federal regulators, including the Federal Reserve and FDIC, revealed that banks are increasingly utilizing AI and machine learning for a variety of functions. These applications range from improving operational efficiency to enhancing fraud detection and anti-money laundering processes. Notably, AI is being used with cash flow data to assist in credit underwriting for individuals who might not have access to credit through traditional methods. The National Credit Union Administration has also launched an AI Resources page on its website to support credit unions in adopting these new technologies. ...

AI Transforms Financial Data Preparation and Visualization Artificial intelligence and machine-learning tools are becoming essential for finance professionals, streamlining the preparation and visualization of data. These AI-powered technologies help identify ideal client profiles and buyer personas, enabling financial practices to target the best-fit businesses. The adoption of AI is a significant trend, with a recent global report noting that early adopters gain a competitive edge but also face increasing risks, highlighting the dual nature of integrating emerging tech into the financial sector. ...

AI Adoption in US Workplaces Surges, Gallup Poll Finds A recent Gallup Workforce survey reveals a significant increase in the adoption of artificial intelligence among American workers. The poll, which surveyed over 22,000 U.S. workers, found that 12% of employed adults now use AI daily in their jobs. Approximately one-quarter of respondents reported using AI frequently (at least a few times a week), while nearly half of the workers surveyed stated they use AI at least a few times a year. This marks a notable rise from 2023, when just 21% of workers reported using AI at least occasionally, highlighting the rapid integration of generative AI tools like ChatGPT into professional environments. ...

AI Model ‘SleepFM’ Predicts Future Disease Risk from a Single Night’s Sleep Researchers have developed a groundbreaking artificial intelligence foundation model, named SleepFM, that can predict the future risk of various diseases by analyzing data from a single night’s sleep. A study published in Nature Medicine details how the model was trained on over 585,000 hours of polysomnography (PSG) data from approximately 65,000 individuals. SleepFM has demonstrated a remarkable ability to predict the risk of numerous conditions—including dementia, heart failure, chronic kidney disease, and mortality—years before a clinical diagnosis might occur. The model analyzes complex physiological signals captured during sleep to identify patterns indicative of a predisposition to future health issues. This innovative approach could serve as a powerful early warning system, enabling proactive healthcare and early disease detection. ...

Microsoft Challenges OpenAI with In-House MAI-1 and MAI-Voice-1 AI Models Microsoft has begun public testing for MAI-1, its first internally developed, large-scale AI model, marking a significant strategic move to reduce its reliance on partner OpenAI. The new foundational model is engineered for general-purpose tasks, including answering complex questions and following instructions. Alongside MAI-1, Microsoft also unveiled MAI-Voice-1, a sophisticated model capable of generating natural-sounding, human-like speech. The voice model can reportedly generate one minute of audio in under a second using minimal computing power. These releases signal escalating competition in the generative AI space, especially within multimodal and voice-based applications. ...