The US government’s tighter controls on frontier AI models from Anthropic and OpenAI are pushing Indian companies towards Asian alternatives as they seek project continuity and the performance gap narrows. This shift is driven by the need to maintain operational stability and the growing competitiveness of models from other regions.

Chinese open-source models, which were already popular among startups due to lower costs, may now make their way to large enterprises looking to avoid disruptions to top-dollar artificial intelligence projects. The choice is described as pragmatic rather than political, with companies prioritizing reliability and affordability.

The trend is driven by cost, strong performance, and licenses that let enterprises self-host. Last week, China’s Ziphu AI launched the GLM-5.2 model, which performs closely to Anthropic’s Opus 4.8 on benchmarks. GLM is priced at a fifth the cost of Opus, making it an attractive option for businesses.

This shift has broader implications for the AI industry, including increased vendor lock-in, changes in governance frameworks, and potential market reactions as companies reassess their reliance on foreign models. The move may also influence the global AI landscape by encouraging more localized development and reducing dependency on Western platforms.

As the AI landscape evolves, companies are increasingly evaluating the trade-offs between cost, performance, and governance. The growing availability of competitive alternatives is reshaping strategic decisions, with firms looking to balance innovation with operational resilience.