
What happened
Ramp's November card data shows U.S. enterprise AI token spend grew only 1.5% across August and September combined, down from 42% in July; October reaccelerated to 8.9% from September 23 to October 23.
Why it matters
Ramp's lead economist Ara Kharazian said "the era of hypergrowth may be over," citing price cuts and better buyer cost control.
WHO IT HITSCorporate finance and procurement teams that manage AI tool budgets are seeing per-employee token costs stabilize, with median firms at $12 to $15 per employee monthly and the top 1% dipping below their summer peak near $10,000.
Summaries like this, every morning.
Ramp's November card data tracks a sharp turn in how U.S. enterprises pay for AI. Token spending grew 42% in July, then only 1.5% across August and September combined, before reaccelerating to 8.9% from September 23 to October 23. That October rebound is still far below the summer pace.
The spending pattern splits by firm size. Median firms spend $12 to $15 per employee per month on AI, while the top 10% spend $600 to $1,000. The top 1% peaked near $10,000 per employee at the summer high and dipped slightly in August and September.
Ramp's lead economist Ara Kharazian tied the deceleration partly to pricing pressure from OpenAI and Anthropic price cuts, which made AI cheaper to use, and partly to buyers growing better at cost control. He said it "has very much become a buyer's market" and concluded that "the era of hypergrowth may be over."
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