AI支出见顶：头部客户停滞与降价如何拖累增长

Ramp’s latest AI Index, built from transactions at 85,000+ US businesses, shows the heaviest AI spenders peaking in July. Anthropic’s amended S-1, filed this morning, shows its quarterly dollar add shrinking for the first time.

• The top 1% of firms on Ramp spent less on AI per employee in September than in July.
• Anthropic added $5.4B of revenue in Q3, down from $6.8B in Q2.
• That top 1% drives 80% of spend on OpenAI and Anthropic.
• Adoption across all other firms is still rising, at about $16 per employee per month.

1. Ramp’s Top 1% Peaked in July at $9,873 Per Employee

Although per-employee spend rose 11.7% from last month, the top 1% of firms spent $9,568 per employee per month in September, down 3.1% from its July high of $9,873. August fell 13% from July. September recovered most of it but not all.

The top 10% kept climbing, from $740.47 in August to $813.43 in September, about 10% in a month. The median firm rose too.

Ramp notes that because the top 1% represents a small group of firms, its spending estimate is more volatile than our median and top 10% estimates. Its customer base also skews toward startups and tech-forward firms, the same companies that led the token-maxing wave this spring.

2. Anthropic Added $5.4 Billion in Q3, Down From $6.8 Billion in Q2

Revenue rose to $16.96 billion from $11.56 billion in the second quarter. The filing’s nine-month total of $33.24 billion puts Q1 at $4.72B. Q2 added $6.84B. Q3 added $5.40B, 21% less.

Most coverage led with growth falling from about 140% to 47%. Regenerator1 flagged the dollar add from the October leak: Anthropic’s average monthly growth slowed from ~$760 million in Q2 to (“only”) $580 million a month in Q3.

Within the quarter, Anthropic reported a $65B run rate at the end of July, about $5.4B a month. Q3 averaged $5.65B a month, which implies August and September grew roughly 3 to 4% a month. From May to July the run rate went from $47B to $65B.

Ramp’s top 1% and Anthropic’s revenue both flattened after July.

3. 1% of Firms Drive 80% of OpenAI and Anthropic Spend

Ramp previously shared that 80% of spend on OpenAI and Anthropic is driven by 1% of firms. In September, the top 1% spent a median of $9,567.53 per employee per month on AI, compared with $15.70 for the median firm. That’s about 600x.

Anthropic’s S-1 shows the same concentration among individual users: Claude Enterprise users who skipped Claude Code averaged under $75 a month, while the top 5% of users who adopted it spent roughly 20 times that. The filing also warns that “Any adverse change in demand from our largest customers…could adversely affect our business and prospects.”

A few hundred companies with agents running around the clock produce most of the frontier labs’ revenue. When they stop adding spend, quarterly revenue growth slows regardless of how many new firms sign up.

4. Adoption Is Still Spreading, at $16 a Head

In September 2026, 55.9% of U.S. businesses on Ramp paid for AI, up 0.6 points from August.

The numbers on replacing whale spend with new adopters are lopsided. One top-1% firm with 100 employees spends about $957K a month. Matching it takes about 600 median firms of the same size. A 0.6-point monthly gain in adoption adds firms at the bottom of the distribution, where each one spends very little.

New adopters are also splitting their business. Among Ramp businesses, 43.8% paid Anthropic, up 0.25 percentage points from last month. OpenAI adoption rose 1.12 percentage points to 40.6%, outpacing overall AI adoption. Anthropic still leads on dollars: in the week ending October 23, 2026, Anthropic captured the largest share of AI token spending among businesses on Ramp, at 60.5%.

5. Price Cuts Account for More of the Stall Than Summer Does

Ramp points to price: Ramp lead economist Ara Kharazian attributes the slowdown mainly to falling prices for top models. Anthropic’s filing supports that. Claude Opus 5.5 cut customer cost per task by about 40% compared with Claude Opus 5, and ZeroHedge’s read of the filing puts Q3 price cuts at about $600 million.

If a heavy user’s workload stays the same size, a 40% cut in cost per task lowers its bill by up to 40%. The top 1% didn’t add enough new work in August and September to offset that.

Summer explains less. To match Q2’s dollar add, Anthropic needed about $1.44B more revenue in Q3, roughly 8% of the quarter. The one seasonal dip with data behind it, the December holidays, ran about 20% for two weeks, roughly 3% of a quarter. An August vacation dip would have to be about 2.5x the size of Christmas to explain the full gap.

The October 31 Run Rate Will Show Whether the Whales Came Back

Anthropic’s filing defines run rate as the trailing 28 days of usage times 13, plus a month of subscriptions times 12. It left the October 31 figure blank, and today’s amendment still has it blank.

• Above about $75B: August was a seasonal and capacity dip. Heavy users resumed spending, and the $5B of short-term compute Anthropic bought in Q3 went to real demand.
• Around $68 to 70B: the top 1% has plateaued, price cuts are offsetting usage growth, and new adopters are too small to make up the difference.

Ramp’s next index, with October data, will show whether the top 1% got back above July’s $9,873.

The same check works on any B2B + AI company’s revenue. Rank customers by monthly spend, take the top 1%, and compare their September total to July. If that group is flat while the customer count grows, the business has the same shape as Anthropic’s Q3: a handful of accounts carry the revenue line, and they’ve stopped expanding.