IndustrySeptember 28, 2026

US companies shift to open-weight AI models as token share surges to 56%

US businesses are rapidly moving away from expensive proprietary frontier models developed by providers like OpenAI and Anthropic. Enterprise consumption of more cost-effective open-weight alternatives has expanded dramatically, driving their token share from 7% to 56%.

Why it matters

Scaling production AI requires strict control over inference expenditure and runtime dependencies. Embracing open-weight models grants engineering teams greater architectural flexibility, lower operating costs, and enhanced ownership of their deployment pipelines.

Key points

Open-weight model usage among US companies surged from 7% to 56% of total token share.
Rising costs associated with frontier proprietary APIs are motivating the transition.
Teams are favouring cost efficiency and infrastructure independence for ongoing production workloads.

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