Nvidia launches employee-funded PAC to shape US policy

Share
Nvidia launches employee-funded PAC to shape US policy

Nvidia is opening a new front in Washington. As the AI and chip-export-control fights heat up, the company that makes the chips at the center of it all is building its own political machine.

Nvidia is launching an employee-funded political action committee called NVPAC, a step-up in its efforts to shape US policy on the AI and chip rules it lives and dies by. Money for the committee will come mainly from voluntary personal donations by Nvidia employees rather than the corporate treasury, a common structure that still lets the company steer funds toward federal candidates aligned with its priorities. Specific spending targets and operating details have not been disclosed, according to a Reuters report based on people familiar with the matter.

The timing is the story. Nvidia's business is now effectively a creature of policy: export controls decide which chips it can sell where, and Washington has spent the past year tightening the rules around advanced accelerators and the model-scaling race they fuel. The company has been in Washington's crosshairs before, but standing up a federal PAC marks a shift from reacting to regulation toward actively bankrolling the candidates and causes that write it. NVPAC joins a familiar tech pattern — OpenAI, Microsoft and others already run employee-funded PACs — but for Nvidia it lands as the stakes around AI governance have never been higher, and as a fresh wave of US policy fights over frontier compute, export controls and data-center economics takes shape.


TIME has unveiled its 2026 TIME100 AI list, ranking OpenAI's Sam Altman as the most influential person in artificial intelligence. The fourth annual list spans 100 executives, researchers, entrepreneurs, policymakers and creators across four categories — Leaders, Innovators, Shapers and Thinkers. OpenAI's CRO Mark Chen and President Greg Brockman join Altman in the Leaders tier, alongside Elon Musk, Anthropic co-founders Dario and Daniela Amodei, IBM's Arvind Krishna, Google DeepMind's Lila Ibrahim and Broadcom's Hock Tan. Chinese AI figures feature prominently, with ByteDance's Liang Rubo, Alibaba's Eddie Wu, Moonshot AI's Yang Zhilin, Zhipu's Zhang Peng and SMIC's Liang Mong Song all named.

That Chinese representation is worth pausing on. TIME Editor-in-Chief Sam Jacobs described the landscape as "explosive and divisive," pointing to Chinese models that "occasionally outperform advanced US competitors" — a shift from the era when US labs dominated every major list. The broadened categories also underscore how the influential-AI circle has widened beyond lab researchers to include creators like Ben Affleck and Joseph Gordon-Levitt, who sit on lists meant to reflect not just who builds AI but who shapes how the world lives with it.

What to watch: whether Nvidia's PAC quietly funnels money into AI-regulation races ahead of the midterms, and which names on the TIME100 list turn up shaping those contests.

Do PACs and celebrity rankings tell us more about who really controls AI's future than the technology itself? Tell us in the comments.

Read more

Underdog launches a private on-device AI assistant, backed by a16z

Underdog launches a private on-device AI assistant, backed by a16z

The privacy split in consumer AI got a new entrant tonight, GitHub turned code-review benchmarks into a vendor-bias argument, and OpenAI opened its oddest API to everyone. Underdog launched in invite-only beta: an on-device AI assistant that keeps your data on your machine and never charges you a subscription. Self-taught coder and Thiel Fellow Sigil Wen — who moved to Silicon Valley at 17 and lived in an AI hacker house with Andrej Karpathy — built his own inference engine, Husky, to run a 2

Today in AI — October 6, 2026

Today in AI — October 6, 2026

A day of second-order moves: the labs are buying task data from software vendors instead of scraping the web, Waymo is borrowing to fund the robot world, and the biggest bank in the US just put a number on what Anthropic's latest model cost it in risk. Models & Research * OpenAI is training GPT-6 Astra on Ironclad's real contracting work. Ironclad staff helped turn 11 tasks across legal, commercial and procurement work — setting up NDAs, approval workflows, clauses that change by jurisdict

Meta, Walmart and Stripe publish the Personal Agent Protocol

Meta, Walmart and Stripe publish the Personal Agent Protocol

The agent economy is writing its rulebook tonight: one open standard for AI bots at the checkout, a cheaper image model from Google, and Anthropic turning bug-hunting into a tiered product. Meta, Walmart, Stripe and Sierra are publishing an open "personal agent protocol" — a standard that defines how personal AI agents interact with businesses online. The group behind it reads like a cross-section of agentic commerce: Meta, Sierra, Walmart, Stripe, Shopify, Genesys, Rocket, NiCE, Decagon and I

Lambda raises up to $4B from Blackstone ahead of its IPO

Lambda raises up to $4B from Blackstone ahead of its IPO

The neocloud money is consolidating fast, and today's inbox shows both ends of the market: a heavyweight pre-IPO round on one side, and a Google open model you can run on a phone on the other. Lambda is raising up to $4 billion led by Blackstone and Coatue at a $14.5 billion pre-money valuation — its last private round before a planned IPO. The Wall Street Journal reported the scoop from a letter to limited partners, and Reuters independently confirmed the headline terms: the round is led by t