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Ramp data shows AI spending stalling just as Anthropic nears its IPO

Summary

  • AI spending flatlined over late summer despite rising token volumes, with spend growing only 1.5% in August and September compared to a 42% increase in July.
  • The top 1% of AI-using firms saw spending drop below $10,000 per employee in August and September, while median firms spend $12-$15 per employee monthly and the top 10% spend $600-$1,000.
  • October data showed an 8.9% increase in token spend from September 23 to October 23, though headwinds on growth remain strong.
  • OpenAI cut API prices by half for GPT-6 Sol and GPT-6 Luna in September, while Anthropic reduced pricing for Fable 5.1 and Opus 5.5, a move that slashed revenue growth by approximately $600 million.
  • Increased competition from Meta, Nvidia, open-source models, and new entrants like Jev has created a buyer's market with lower costs for enterprise offerings.
  • Companies are becoming more efficient by using default settings, imposing budgets, and routing tasks to cheaper models to control expenses.
  • Notion co-founder Akshay Kothari noted that while token usage increases, costs decrease, stating "tokens go brr. Costs go ahhh."
  • Anthropic's potential valuation dropped from an estimated $2 trillion in early October to $1.2-$1.3 trillion, with reports of a high "junk" credit rating.
  • OpenAI lowered its proposed valuation to $1.25 trillion from $1.4 trillion and reduced fundraising goals by about $10 billion.
  • Investors hope new use cases like personal agents will drive further growth, though experts remain skeptical that they will be as economically productive as AI coding.
  • Ramp data indicates that AI spend has started to slow down based on currently available and commercially advanced products.

AI usage keeps climbing, but spending has stalled. Price cuts and smarter cost controls among the biggest spenders could challenge investor assumptions about AI hypergrowth.

Keywords
AI,Enterprise,Anthropic,Enterprise AI spend,OpenAI,Ramp