Open source AI models are moving into the mainstream, and the big question is who earns money when the models are free. Irene Solaiman, Chief Policy Officer and SVP of Strategy at Hugging Face, took on that question on TechCrunch's Equity podcast, in an episode published November 4, 2026.
What the talk covers
Open source models are AI systems that their makers share widely, so others can use them. Enterprises, governments and startups are turning to them for lower costs, more control and more flexibility. But as more capable models become freely available, how do companies capture value? The episode also asks whether American players can keep up as Chinese open models gain ground.
Host Rebecca Bellan also asked what startups should know before building on open models. Topics include choosing the right tools and infrastructure, and weighing the trade-offs shaping the future of open AI.
What is not known yet
The material available is a short description of a 36-minute episode, not a transcript. Solaiman's answers are not included, so what she said about who profits, or how the US compares with China, is not known here.
For a business that uses AI tools, the takeaway is practical. Open models may cut costs and give more control, but the trade-offs deserve a check before anything is built on one.
The takeawayOpen AI models may lower costs and give you more control, but weigh the trade-offs before building a business tool on one.