AI is either your most helpful coworker, a glorified search engine or vastly overrated depending on who you ask. A viral essay from an AI CEO and investor claimed the tech is coming for any job that involves sitting in front of a computer,

Putting humans and LLMs head-to-head in classic tests of judgment from human psychology underscores the differences between them

Agentic AI workflows demand proof that endures when novelty fades and scrutiny increases. Leaders are not asking whether an agent can perform in a demo. Instead, leaders are asking whether agents can be governed, operated and trusted in daily decision loops.

Sam Altman says some companies are "AI washing" job cuts, but he wasn't sure what percentage of layoffs fell into that category.

Meta and other AI companies are ramping up their lobbying before politicians figure out how unpopular the data centers are about to be.

What emerges is a broader issue I see repeatedly in enterprise AI programs: a context gap between what AI systems can generate and what they can safely act on at scale.

Americans are living in parallel AI universes. For much of the country, AI has come to mean ChatGPT, Google’s AI overviews, and the slop that now clogs social-media feeds. Meanwhile, tech hobbyists are becoming radicalized by bots that can work for hours on end, collapsing months of work into weeks, or weeks into an afternoon.

Last year DeepSeek, another Chinese AI model, sent shockwaves around the world with its low-cost large language model. It quickly overtook ChatGPT as the most-downloaded free app on Apple's US store.

Some say we’ve entered a new age of AI-enabled scientific discovery. But human insight and creativity still can’t be automated.

Microsoft announced Wednesday it's allocating $50 billion over the next 10 years to combat artificial intelligence inequality in low-income nations.

Veteran investors knew this reality check of extreme valuations was coming sometime.