AI
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Nvidia CEO Jensen Huang says you won’t lose your job to AI—you’ll lose it to your coworker who uses it
The warnings about AI’s impact on jobs echo from Silicon Valley to Wall Street to Washington, D.C. But Nvidia CEO Jensen Huang thinks you should worry less about the robots and more about your coworker, the one quietly “tokenmaxxing,” or using AI to do in minutes what takes you hours. In a recent interview with
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The $6 trillion reinvention: Why IT services firms must start underwriting outcomes
A financial analyst, a few years out of school, sits in front of four cloud terminals at a New York hedge fund, running $1,000 a day in AI tokens. His manager approved the budget without hesitation – the firm’s own math showed his productivity had multiplied fivefold, returning well over 200% on every dollar spent.
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Europe has the talent and dunding to win at AI. First, it needs to break free from the Magnificent Seven
For years, the narrative about European tech was one of unfulfilled promise — brilliant researchers, fragmented markets, and a chronic inability to scale. That story is changing. European AI funding reached a record $21.8 billion in 2025, up 58% in a single year. The continent’s research institutions are world-class. Its startup hubs — from Stockholm
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Palantir published a mini manifesto calling some cultures ‘harmful and middling’ and said Silicon Valley has ‘a moral debt’ to the U.S.
Palantir published a mini manifesto over the weekend based on a book by its CEO that made the company’s position clear on a range of topics from reinstating the military draft to Silicon Valley’s moral duty to help the U.S. defend itself. In a post on the company’s X account that has racked up 32
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Meet the film school dropout who became a billionaire quantum computing CEO in days thanks to Nvidia
Christian Weedbrook, a film school dropout turned CEO of Xanadu Quantum Technologies, was minted a billionaire in a matter of days thanks to Nvidia endorsing quantum computing as the future of AI. Last week, Nvidia announced Ising, a family of open-source quantum AI models promising to address major bottlenecks in quantum computing, particularly in calibration
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Meta will start tracking employees’ screens and keystrokes to train AI tools
Meta is installing tracking software on U.S. employees’ work computers that will capture mouse movements, clicks, and keystrokes, along with some screenshots to feed the data into its AI training pipeline, according to Reuters. The tool, disclosed to staff this week in a channel belonging to the company’s Meta Superintelligence Labs team, which Reuters saw,
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Are services the new software? This venture capitalist thinks the future is in selling AI-delivered outcomes, not AI-powered products
Hello and welcome to Eye on AI. In this edition…Are services the new software?…Anthropic’s Mythos has financial regulators and bankers freaking out…more executive turnover at OpenAI…these measures may mean China may soon surpass the U.S. in developing the best AI models…are AI inference costs getting too steep? Julien Bek never expected to go viral. Bek,
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Google Cloud’s next big moment—and what it needs to continue its ascent
Google’s rapid AI improvements have lifted its once-beleaguered cloud division, with startups and enterprises now clamoring to build on top of the newly competitive Gemini. And this week, the company is set for its next big moment, as it brings together its stakeholders at the fast-growing Google Cloud Next event in Las Vegas. Though Google
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Half of all new electricity demand in the U.S. last year came from data centers—just as public opinion of them plummets
The U.S. just had one of its most energy-hungry years in recent memory, and the largest single driver of demand happens to be a lightning rod. Energy demand in the U.S. grew 2% in 2025, according to a report on the global state of energy published Monday by the International Energy Agency (IEA), a watchdog
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The hidden ROI of AI: What leaders should actually measure
The promise of AI seems almost unlimited. Organizations worldwide are expanding access, investing heavily, and launching pilots at speed. Despite this optimism, the reality is more complex: the hardest work is moving AI pilots into production and measuring success beyond immediate financial returns. Deloitte has seen this dynamic first-hand: broad access is necessary, but the