Visa is launching an AI financial assistant that banks can add to their apps, giving customers personalized spending insights, conversational answers, and direct account controls.
AI adoption is climbing among small businesses, but a new Thryv survey reveals a troubling shift as 46 percent say they would choose software over hiring a person.
Microsoft is investing $2.5 billion and embedding 6,000 engineers inside customer organizations as it bets that successful AI adoption requires people, not just models.
OpenAI has unveiled Jalapeño, its first custom AI chip developed with Broadcom, signaling a push toward greater control over the hardware powering ChatGPT and future AI services.
A new GitLab survey suggests AI coding tools are boosting productivity, but many organizations are struggling to track, govern, and maintain the code those tools generate.
IBM has joined OpenAI’s Daybreak Cyber Partner Program and launched a new AI-powered security service designed to identify software vulnerabilities before attackers can exploit them.
OpenAI’s new LifeSciBench benchmark was supposed to measure how useful AI can be in scientific research. Instead, it also highlights just how far today’s most advanced models still have to go before they can be trusted with real science.
KKR is making a massive bet on the future of artificial intelligence. The investment giant has launched Helix Digital Infrastructure with more than $10 billion in committed capital, backed by NVIDIA, Vistra, and the Kuwait Investment Authority. Led by former AWS CEO Adam Selipsky, the new company aims to build the data centers, power infrastructure, and connectivity needed to fuel the next phase of AI expansion.
A new Skillsoft report claims companies are deploying AI tools faster than employees can realistically adapt. While most workers already use AI at work, only a small percentage say they actually feel prepared to use the technology effectively, revealing a major disconnect between leadership expectations and employee confidence.
OpenAI’s GPT-5 is officially here, offering faster answers, better reasoning, and fewer hallucinations. But is it actually useful for real work?