AI支出分化：头部企业是普通公司625倍
Same technology, same 2 years, 625x apart.
Same technology, same 2 years, 625x apart.
同样的技术，同样的两年时间，差距却达625倍。
The top 1% burns a median company's entire annual AI budget in a single afternoon.
顶尖1%的公司在一个下午就烧掉了普通公司全年的AI预算。
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.
Ramp的数据显示，普通公司每位员工每月在AI上的花费为12美元，而顶尖1%的公司则为7,500美元，差距约为625比1。
Today’s upper tail already demonstrates how much inference a company can economically absorb, while the median firm is barely participating.
如今的上层尾部已经展示了公司能经济地吸收多少推理能力，而普通公司几乎还未参与其中。
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.
未来2至5年内，推理需求的大幅增长并不需要普通公司接近顶尖1%的水平；即便是向当今重度用户强度的小幅靠拢，也会在更广泛的公司基础上成倍增加令牌消耗。
Chart from @a16z and @tryramp
图表来自@a16z和@tryramp
更进一步：量化金融体系
看懂新闻只是起点——沿量化金融路径，把它变成能交付的工程能力