ChainCatcher report: According to a Financial Times investigation, open-weight models are spreading from tech companies to traditional U.S. enterprises. Data from AlphaSense shows that, in August and September this year, U.S. companies mentioned open-weight or open-source models in earnings calls and investor meetings approximately six times more frequently year-over-year. PNC Financial, logistics company CH Robinson, and Siemens have recently publicly discussed their applications. Tinder’s annualized AI spending rose from about $1 million in January to around $10 million in July, and it has now begun routing some routine requests to open-weight models. AT&T stated that approximately 40% of its AI tasks are currently handled by open models, with plans to increase this to about 70%. Its internal AI system processes roughly 45 billion tokens daily, using lower-cost models for simple tasks while continuing to rely on cutting-edge models from OpenAI, Anthropic, and others for complex ones.
U.S. firms mention open-weight models six times more year-over-year.
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Summary
U.S. firms cited open-weight models six times more frequently in Q3 2026 investor meetings than during the same period last year, according to AlphaSense. PNC Financial, CH Robinson, and Siemens highlighted specific use cases. Tinder’s AI spending increased from $1 million to $10 million over seven months, with open models handling routine tasks. AT&T now employs open models for 40% of its AI workload, targeting 70%. It processes 45 billion tokens daily, using lower-cost models for simple tasks and leading AI firms for complex ones. Inflation data remains a key factor in corporate technology spending decisions. AI and crypto news continue to shape enterprise strategies.
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