The architect of today's most influential AI tools is heading to San Francisco's biggest tech stage. Hugging Face co-founder Thomas Wolf will take the AI Stage at TechCrunch Disrupt 2025 this October, bringing his vision for open-source AI to 10,000+ startup leaders and investors at Moscone West.
Hugging Face co-founder Thomas Wolf is bringing his blueprint for democratizing AI to the industry's most watched stage. The chief science officer will headline the AI Stage at TechCrunch Disrupt 2025, happening October 27-29 at San Francisco's Moscone West, where he'll tackle a question that's reshaping the entire tech landscape: who gets to decide how AI is built, shared, and scaled?
Wolf's appearance comes at a pivotal moment for the AI industry. While OpenAI, Google, and Microsoft race to build ever-larger closed models, Wolf has spent years proving that open-source approaches can compete at the highest levels. His work at Hugging Face has made cutting-edge AI accessible to millions of developers worldwide through the Transformers and Datasets libraries that power everything from startup MVPs to enterprise AI deployments.
The timing couldn't be more strategic. As AI development costs spiral into hundreds of millions per model, Wolf's open-science approach offers a compelling alternative. He led the BigScience Workshop that produced BLOOM, one of the first large language models to rival proprietary alternatives while remaining completely open. The project brought together researchers from dozens of institutions across six continents, proving that collaborative science can match the resources of big tech.
"The future of AI won't just be defined by closed labs and big tech budgets," Wolf argued in recent interviews, positioning his Disrupt session around this core thesis. According to internal data from Hugging Face, their platform now hosts over 400,000 models and 75,000 datasets, creating the world's largest repository of open AI resources. This ecosystem approach has attracted backing from Google, Amazon, and Nvidia - the same companies building competing closed systems.
Wolf's academic credentials add weight to his industry influence. As co-author of "Natural Language Processing with Transformers" and "The Ultra-Scale Playbook," he's literally written the textbooks that train the next generation of AI practitioners. His research background spans both Research and academic institutions, giving him unique insight into how breakthrough discoveries translate from labs to real-world applications.
