Clem Delangue, co-founder and CEO of Hugging Face, said at an Axios event that the industry is not facing an AI bubble but an “LLM bubble” driven by outsized attention on large language models such as those behind ChatGPT and Gemini. He indicated that this segment may be nearing a correction, while broader AI fields — including biology, chemistry, imaging, audio, and video — are still at the beginning of major growth.
Delangue argued that enterprises will shift toward smaller, specialized models that are cheaper, faster, and easier to run on their own infrastructure, especially for focused tasks like customer service. He noted that Hugging Face is well positioned for this shift, highlighting the company’s diversified platform and strong financial stance, with roughly half of its $400 million funding still available. He contrasted this with the heavy spending seen across the LLM sector and emphasized Hugging Face’s long-term, capital-efficient approach.
