Priority Health is teaming up with Kivo Health to provide AI-driven virtual care for COPD patients. The program aims to manage symptoms and reduce hospitalizations for members across Michigan. This reflects a growing trend of health plans integrating digital therapeutics for chronic conditions.
Palantir is launching a new operating system called Chain Reaction, built specifically for U.S. AI infrastructure. It partners with utility giant CenterPoint Energy and Nvidia to tackle the exploding power demands of data centers.
Time magazine has broken from tradition for its 2025 Person of the Year, choosing the collective “Architects of AI.” The decision highlights a year where AI moved from niche to mainstream, with a cover image featuring eight major tech leaders sitting on a steel beam.
Google is expanding its Gemini AI features to Chrome on iPhone and iPad in the US. Meanwhile, an OpenAI safety researcher highlighted a massive jump in AI’s ability to solve cybersecurity challenges, sparking serious conversation.
In a landmark deal, Disney is investing $1 billion in OpenAI and licensing its vast character library for use in AI tools. The three-year agreement will let Sora create videos and ChatGPT generate images featuring iconic Disney, Marvel, Pixar, and Star Wars IP.
Steve Eisman, famous for predicting the 2008 financial crisis, is raising a red flag on the AI investment frenzy. He’s worried the foundational belief that ever-larger language models will keep improving is starting to crack, which could ripple through chip demand and company spending.
OpenAI was announced on December 11, 2015, at a Montreal conference by Elon Musk and Sam Altman. A decade later, its trajectory from idealistic non-profit to multi-billion dollar AI leader raises huge questions about its next ten years.
An OpenAI executive predicts AI will soon transform work in pharmaceuticals, coding, and customer support. He points to automation of administrative bottlenecks and routine intellectual tasks as the key driver.
Oracle just told investors its AI buildout is getting even more expensive, raising its 2026 capital expenditure forecast by a whopping $15 billion. The news sent shares tumbling over 11%, even as the company reported strong cloud growth and a backlog swollen by commitments from Meta and Nvidia.
A new analysis argues that enterprise AI initiatives are stalling not due to technical flaws, but a fundamental lack of trust. The issue is being mislabeled as an “adoption curve” when it’s really about integrating autonomous systems into legacy human-centric processes.
