Oracle's stock exploded 40% after revealing a $455B AI contract backlog and projections for $144B cloud revenue by 2030. The surge made Larry Ellison briefly the world's richest person—but can the company turn massive bookings into sustainable margins?
Publishers like Reddit and Yahoo launched a new licensing standard to charge AI companies for training data. The Really Simple Licensing protocol lets sites demand payment per crawl or per AI response. No major AI company has agreed to comply yet.
Good Morning from San Francisco, Meta's $72 billion talent splurge hits turbulence. ChatGPT co-creator Shengjia Zhao nearly bailed
Recent research reveals artificial intelligence may initially harm businesses before yielding benefits.
Early AI adopters face a brutal truth: productivity tanks before it soars. A new study of 30,000 U.S. manufacturers reveals this counterintuitive pattern.
Companies that embraced AI between 2017 and 2021 first watched their productivity plummet. The culprit? AI disrupted their finely-tuned operations, like just-in-time inventory systems.
But those who survived the initial chaos emerged stronger. These companies eventually outperformed their peers in sales, productivity, and even hiring. The catch? Many firms didn't make it through the turbulent transition.
Older, larger companies struggled the most. "Surviving this seems like part of the problem," says Kristina McElheran, the University of Toronto researcher behind the study.
The findings challenge the rosy narrative that AI simply "augments" jobs. During the study period, AI adoption crept up from 7.5% to 9.1% among surveyed firms.
ECB President Christine Lagarde added perspective: up to 29% of European workers face high AI exposure. But she expects job destruction to balance with job creation.
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Oracle's stock exploded 40% after revealing a $455B AI contract backlog and projections for $144B cloud revenue by 2030. The surge made Larry Ellison briefly the world's richest person—but can the company turn massive bookings into sustainable margins?
Publishers like Reddit and Yahoo launched a new licensing standard to charge AI companies for training data. The Really Simple Licensing protocol lets sites demand payment per crawl or per AI response. No major AI company has agreed to comply yet.
Meta's $72B AI talent hunt is imploding. ChatGPT co-creator nearly quit within a week, forcing tripled compensation. Elite recruits defecting to rivals while existing employees demand parity. The secretive TBD Lab creates new corporate castes.
Arm challenges the smartphone industry's NPU rush with Lumex, betting CPU-based AI can deliver 5x performance gains across 3 billion devices by 2030. The platform's SME2 instructions target developer frustration with fragmented neural engines.
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