Microsoft Research's Tools for Thought work argues that overreliance on AI answers can erode critical thinking, and that AI should prompt people to reason rather than replace it.
In a long interview with The Economist, Musk predicted AI surpassing collective human intelligence within a decade, a robot-driven economy and a shrinking role for money by 2036.
A neurosurgeon, a deskilling researcher and a technology writer weigh how to use AI without losing the hard won abilities that make experts trustworthy.
Princeton's Arvind Narayanan argues AI will spread slowly like electricity or the internet, while Geoffrey Hinton warns of systems smarter than us. The evidence so far supports a middle path.
Krishna Rao told a podcast that Claude writes over 90 percent of Anthropic's code and drafts most of its monthly financial reviews, as revenue run rate passes $30 billion.
A run of updates has turned OpenAI's Codex from a developer tool into a general desktop agent that connects to email, Slack, calendars and more than 90 app plugins.
The OpenAI chief says companies that delay AI adoption will fall behind, as his company reports tripling its computing capacity to about 1.9 gigawatts in a year.
Business Insider reports that OpenAI has enlisted 3,000 to 4,000 contractors, paid at least $50 an hour, to build realistic work scenarios across more than 400 occupations for training ChatGPT.
Elon Musk continues to argue that AI and Tesla's Optimus humanoid robots will make jobs optional and money less relevant, while economists see little sign of that shift in current labor data.
Matt Shumer's essay 'Something Big Is Happening' compares AI in 2026 to the weeks before Covid changed everything. Here is what the argument gets right, where it overreaches, and what professionals should do.
In an ABC News interview, Anthropic cofounder Daniela Amodei argued that communication, empathy and critical thinking will grow in value as AI handles more technical work.
A site launched by crypto engineer Alexander Liteplo lets AI agents post and pay for physical tasks; tens of thousands of people signed up while only a few dozen agents did.
Layoffs, a hiring freeze for junior engineers and a growing pile of hard-to-maintain generated code show the limits of the 2023 prediction that AI would write software on its own.
Forrester's JP Gownder argues AI has not delivered its promised productivity gains, echoing the Solow paradox, even as the firm forecasts 10.4 million US jobs displaced by 2030.
Tools such as Anthropic's Claude Code are compressing days of programming into minutes, and some experienced engineers say the speed comes with a loss of craft and focus.
A Workday survey of employees at 3,200 companies finds AI saves hours each week, but much of that gain goes back into fixing, rewriting and checking the output.
As law firms, accountants and software companies hand routine tasks to AI, the first rung of the career ladder is disappearing, widening the gap between workers who use AI and those who do not.
Recruitment data from Israel, US compensation studies and Middle East surveys show AI expertise lifting pay while most workers now rank long-term security above short-term income.
