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OpenAI’s Chris Lehane is urging a rethink of how governments and AI firms interact, proposing a public-private hybrid to manage AI as an emerging infrastructure. Lehane told Axios that mutual dependence—firms needing light regulation and government contracts, and states needing AI systems—requires new models like revenue-sharing akin to Alaska’s oil approach to avoid political backlash. The conversation happens amid major private-sector moves: NVIDIA’s reported $40+ billion in early‑2026 equity investments, including a $30 billion stake in OpenAI, underscores deep financial entanglement between tech suppliers and AI developers. Debates over talent pathways and where engineers choose to work highlight widening global competition for AI capabilities.
Tech professionals face shifting regulatory and commercial dynamics as AI firms and governments explore hybrid governance and revenue models, affecting contracts, compliance demands, and funding flows. Closening financial ties between suppliers and developers and competition for talent will shape job markets, partnership decisions, and platform risk exposure.
Dossier last updated: 2026-05-20 15:38:42
Brendan Bordelon / Politico : OpenAI's Chris Lehane says he is pursuing “reverse federalism”, lobbying blue states to pass AI safety laws and create a de facto US standard, as DC dithers — OpenAI's effort comes after nearly a year in which the tech lobby has pressured Congress to block states from passing AI laws …
OpenAI’s chief global affairs officer Chris Lehane told Axios that rising political backlash to AI could force a rethinking of how government and industry interact. Speaking at OpenAI’s Washington office, Lehane argued AI firms and governments are deeply interdependent — firms need light regulation and contracts, while governments need AI systems — and suggested creating a public-private hybrid to manage that relationship. He warned companies risk political damage if they don’t share the economic gains of AI, comparing revenue-sharing to Alaska’s oil model. Lehane also framed AI as an emerging infrastructure technology or utility, and said OpenAI aims to make intelligence inexpensive, accessible and widely usable.
NVIDIA has poured over $40 billion in equity investments into AI companies in early 2026, with a single $30 billion stake in OpenAI accounting for the largest share. CNBC and IT之家 report the chipmaker also announced several multibillion-dollar investments in public companies, including up to $3.2 billion in Corning and up to $2.1 billion in data-center operator IREN. NVIDIA completed dozens of VC deals in 2025 and has participated in about 20 private-startup financings so far in 2026, per FactSet. Analysts note these moves look like circular investments among partners but could cement NVIDIA’s competitive moat if they pay off.
@lidangzzz: 你可以换一个角度， 一个人如果进不去OpenAI和Anthropic的时候，以进智谱、月之暗面、字节、deepmind做LLM training为目标工作，削尖脑袋进入下一轮AI革命的时候， 让他任选清华和剑桥读博士，看看他会如何选择。