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Why low-cost AI models haven't slowed down American AI companies
Businesses using AI routers to access cheaper open-source models are simultaneously increasing their spending on closed American AI models.
What: Routing platforms and model-serving tools allow companies to distribute tasks across different AI models. Data shows that firms adopting these tools are not replacing closed-source models (like those from OpenAI or Anthropic) but rather adding open-source models to their stack while maintaining or increasing their total AI expenditure.
Why it matters: This suggests that low-cost alternatives are becoming a supplemental layer in enterprise stacks rather than a wholesale replacement for flagship proprietary models.
Original article
Businesses are increasingly using routers and model serving platforms to access cheaper models. The new router spend is concentrated amongst a segment of businesses that are still increasing their AI spend on closed American models. These businesses are the fastest growing in terms of both revenue growth and business spend. Their increased spend on open-source models tends to happen on the margin without crowding out or replacing American AI models.
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