@rohanpaul_ai: Same technology, same 2 years, 625x apart. The top 1% burns a median company's entire annual AI budget in a single afte…
Summary
Data from Ramp and a16z reveals a 625x gap in AI spending between the top 1% and median companies, with the median at $12 per employee monthly versus $7,500 for the top tier. This disparity suggests significant future growth potential in AI inference demand.
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Cached at: 08/17/26, 04:27 PM
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
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