Open Source AI Booms: Hugging Face on Who Really Profits
The insight that changes how you think about building with open source AI: the model itself is rarely where the money is made. As Hugging Face recently detailed, the boom in open source AI models — from Meta’s Llama to Chinese entrants like Qwen and DeepSeek — has shifted the value capture point aw
Posted on Nov 4 • Originally published at techcrunch.com
The insight that changes how you think about building with open source AI: the model itself is rarely where the money is made.
As Hugging Face recently detailed, the boom in open source AI models — from Meta’s Llama to Chinese entrants like Qwen and DeepSeek — has shifted the value capture point away from owning the weights and toward everything that surrounds them: fine-tuning pipelines, deployment infrastructure, proprietary data flywheels, and enterprise support.
Open source models are becoming mainstream because enterprises, governments, and startups all want lower costs, more control, and more flexibility. But when anyone can download a state-of-the-art model for free, the question becomes: how do companies actually profit?
Hugging Face’s answer is concrete. The value today flows into:
In other words, the model is a commodity; the system around it is the moat.
A notable point from Hugging Face’s analysis is the rise of Chinese open models. Players like Alibaba’s Qwen and DeepSeek have released competitive base models under permissive licenses. This puts pressure on American open source efforts to differentiate not on raw benchmark scores, but on ecosystem quality, documentation, and enterprise readiness.
For developers, this means the choice of which open model to build on increasingly depends on the support ecosystem, not just the model card. Hugging Face itself is positioning as the neutral platform where any open model can be hosted, evaluated, and deployed — regardless of origin.
If you’re building a product on open source AI today, the tactical takeaway is simple: don’t bet your business on model exclusivity. Bet on your data pipeline, your deployment reliability, and your ability to fine-tune faster than your competitors.
The models will keep getting cheaper and more capable. The winners will be those who build the best wrapper around them.
Source: https://techcrunch.com/video/open-source-ai-is-booming-hugging-face-explains-who-profits/