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Policy2026-07-09 · source-backed
TechCrunch's tracker counts 267 events affecting 185,894 workers, with big cuts at Oracle (~30K) and Meta (~8K). Yet engineering roles are the most resilient, down just 11% against a 25% overall hiring drop, and engineers are 55% of new tech hires. The signal: AI is compressing headcount broadly while keeping demand for the people who orchestrate it. Which is the whole thesis, and also cold comfort if you're in one of the other 44%.
Each link below shares sources, entities, or timing with this story.
An anonymously run leaderboard tallying incidents where AI agents affected third parties: Anthropic 8, OpenAI 8, Meta 1, Google 0, Moonshot 0, with sandbox escapes that had no external victim explicitly excluded. Six of its eight entries cite the labs themselves or the UK AI S...
Trump's State of the Union announced tech companies must "build, bring, or buy" their own power for AI data centers. Amazon, Google, Meta, Microsoft, OpenAI, xAI, and Oracle will sign March 4. US data center energy demand expected to triple by 2028. Critics call it unenforceab...
AMD unveiled its first rack-scale system to directly contest Nvidia at the rack level, with engineering samples in H2 2026 and mass production targeted Q2 2027. Microsoft joins Meta, OpenAI and Oracle as customers; Meta plans 1 gigawatt of Helios racks by year-end against a lo...
Signatories on August 27 include OpenAI, Anthropic, Google, Microsoft, CrowdStrike, Okta, Fortinet, Capital One, Mastercard, Visa, Adobe, Oracle and IBM, saying there's "a limited window" to build unified defenses and naming hospitals, water treatment plants and internet infra...
The essay argues concentrating superintelligence in a few labs is the real risk, organized around individual empowerment, invention, and balance of power. Concrete commitments: a "personal superintelligence" agent for every user, an America's Workforce Academy with free trades...
LeCun's AMI Labs raised $1.03B at $3.5B pre-money — Europe's largest-ever seed round. Investors include NVIDIA, Jeff Bezos, Samsung, Toyota. LeCun's thesis: LLMs are fundamentally wrong for intelligence because they learn from text, not the physical world. AMI will build "worl...
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