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The author challenges the assumption that firms adopt open-source or Chinese…

Brief

Firms moving to open-source or Chinese models are not showing lower total AI spend: June data show the median model-serving user spent $248 per employee—a 21% month-over-month rise and roughly 23× the median AI-spending business—indicating these already high-spend firms are continuing to increase investment rather than reduce it.

Why it matters

The author challenges the assumption that firms adopt open-source or Chinese models mainly to cut costs, arguing task-level savings aren't reducing overall AI budgets.

Key details

  • In June, the median model-serving user spent $248 per employee on AI—a 21% increase from May and about 23 times the median AI-spending business.
  • Firms using model-serving are already high spenders on AI and are increasing spend rather than cutting it despite shifting to cheaper model sources.
Source evidence

Third, there is a common assumption that firms turn to open-source or Chinese models mainly to cut costs.

That may be true at the task level, but it is not showing up as lower overall AI spend.

In June, the median model-serving user spent $248 per employee on AI, up 21% from May and roughly 23 times the median AI-spending business.

These firms are already spending a lot on AI, and continuing to spend more, rather than turning down their spend.