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

Accenture started tracking how often senior staff are logging in to its AI tools this month saying AI adoption will be a "visible input to talent discussions."

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

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

Most companies track AI spending carefully. Far fewer track the liabilities that come with it. As AI adoption accelerates, organizations are accumulating a new kind of debt, not on their balance sheets, but embedded in their workflows, systems and decision making structures.

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.

Veteran teacher Jen Roberts explains why generative tools are more than just a platform for cheating—they’re a way to make classrooms fairer and more human

Many companies report widespread AI usage but disappointing returns, assuming the problem lies in execution rather than adoption. New research shows that AI initiatives often stall because employees’ industry-shaped anxiety about relevance,

The company says it has addressed the issue and it "did not provide anyone access to information they weren't already authorised to see".

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.