America's open-model startups have the mission — but not the money
With Chinese open-weight models now sitting at the top of usage charts, a handful of US startups — Arcee, Reflection AI, Poolside — are pitching themselves as the domestic alternative: models you can download, inspect and run yourself, without the geopolitical baggage. Investors are unconvinced. Arcee's chief executive Mark McQuade told the Wall Street Journal that 'every tier-one VC pretty much said no.' The doubt is about revenue rather than capability: if the weights are free to download, the money has to come from somewhere else, and the bulk of AI funding keeps flowing to a few closed-model labs.
Why it mattersWhichever open models developers actually build on will quietly set the defaults — the licence terms, the safety behaviour, the language coverage — for a decade of software downstream. Right now that choice is drifting towards Chinese labs not because anyone decided it should, but because they are the ones still shipping open weights at frontier scale. A funding gap is a slow way to lose a standards race.
Read in the app — free, in 9 languages
Related stories
Anthropic expects to raise as much as SpaceX did — the largest listing in history — and could file publicly this month2026-08-21Nvidia is paying $6 billion for the machine that builds a rival's models — and hiring 109 of the people who ran it
2026-08-21The doctors and lawyers who grade AI answers are now a half-billion-dollar business — and this one grew fivefold in eight months
2026-08-21Anthropic still leads on business AI spending. For the first time since May, the gap is closing rather than widening.
2026-08-21Alibaba's AI business grew at its fastest pace in five and a half years. Its profit fell about 75 percent.
2026-08-20