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.

More AI news

Tooling

Lasso Security highlights sampling drift risks in watermarked agent systems

Verification by Lasso Security reveals that watermarking large language models can cause sampling drift, which alters model outputs. The findings highlight the critical operational boundary required between AI proposals and autonomous execution across payments and regulatory compliance.

Research

Nvidia unveils ReplaySSM to accelerate hybrid model inference

Nvidia has introduced ReplaySSM, an inference mechanism designed to speed up hybrid large language models. The technique optimises generation by avoiding the need to write back state to memory. Developed as a collaborative research project, it addresses critical throughput bottlenecks in hybrid architectures.

Tooling

Google launches Gemini 4 Argon globally to tackle complex enterprise workflows

Google has announced the global release of Gemini 4 Argon, a new artificial intelligence model designed for demanding business operations. The model focuses on supporting complex specialised workloads, including software development, financial analysis, and enterprise research tasks.

Ready to build something extraordinary?

15 minutes. No pitch deck. Just a conversation about what AI can do for your team.

Talk directly with our AI specialists

15 min, no strings

No sales pressure

Prototype in 7 days