Rohan Paul@rohanpaul_ai
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Ramp 数据:AI 支出头部与中位数相差 625 倍

2026-08-17 02:33· 31分钟前
AI 导读

Ramp 数据显示,AI 支出前 1% 的公司人均月支出达 $7,500,而中位数公司仅 $12,差距约 625 倍。头部公司单日即可消耗普通公司全年 AI 预算。即便中位数公司仅小幅向头部强度靠拢,未来 2-5 年 token 消耗量也将大幅增长。

Same technology, same 2 years, 625x apart.

The top 1% burns a median company's entire annual AI budget in a single afternoon.

Ramp's data puts the median company at $12 per employee per month on AI and the top 1% at $7,500, a spread of roughly 625 to 1.

Today's upper tail already demonstrates how much inference a company can economically absorb, while the median firm is barely participating.

The median doesn't need to approach the top 1% for inference demand to grow enormously over the next 2-5 years; even modest movement toward today's power-user intensity would multiply token consumption across a much larger base of companies.

Chart from @a16z and @tryramp

来源:Rohan Paul · x.com

Ramp 数据:AI 支出头部与中位数相差 625 倍

Rohan Paul · @rohanpaul_ai · X·2026-08-17 02:33·31分钟前
AI 导读

Ramp 数据显示,AI 支出前 1% 的公司人均月支出达 $7,500,而中位数公司仅 $12,差距约 625 倍。头部公司单日即可消耗普通公司全年 AI 预算。即便中位数公司仅小幅向头部强度靠拢,未来 2-5 年 token 消耗量也将大幅增长。

Same technology, same 2 years, 625x apart.

The top 1% burns a median company's entire annual AI budget in a single afternoon.

Ramp's data puts the median company at $12 per employee per month on AI and the top 1% at $7,500, a spread of roughly 625 to 1.

Today's upper tail already demonstrates how much inference a company can economically absorb, while the median firm is barely participating.

The median doesn't need to approach the top 1% for inference demand to grow enormously over the next 2-5 years; even modest movement toward today's power-user intensity would multiply token consumption across a much larger base of companies.

Chart from @a16z and @tryramp

来源:Rohan Paul· x.com