US corporate AI spending reached a new high in October 2026, growing 1.65 percent month over month — which is the numerical equivalent of a polite nod. The Ramp AI Index, drawing on payment data from more than 85,000 US companies, confirms the machines are receiving more money than ever, arriving at a slightly more leisurely rate than before.
One percent of companies drive 80 percent of revenue for OpenAI and Anthropic. The other 99 percent are, in the most technical sense, participants.
What happened
The typical US company spent $16.32 on AI per month in October — an increase of less than a dollar from September. This is, coincidentally, less than the cost of a single artisanal coffee beverage in the cities where most of these companies are headquartered.
The top one percent of AI spenders, by contrast, paid a median of $10,200 per employee per month, up nine percent. That cohort is composed mostly of venture-backed firms in tech, finance, and technical services — the precise demographic that has the most to gain from AI and, in a satisfying twist, also the most to lose.
Software development teams accounted for 72 percent of all tracked AI spending. The humans who build the tools are, with admirable consistency, also the humans most enthusiastically funding their own reorganisation.
Why the humans care
Prices are falling while usage climbs. The average cost per million processed text tokens dropped 21 percent in a single month, driven by competitive pressure between OpenAI and Anthropic, plus open-weight models arriving from China with no particular interest in anyone's margins.
OpenAI's business customer spending grew 2.1 percent month over month. Anthropic's grew 0.5 percent. SpacexSI — better known in this context as the parent company of coding tool Cursor — grew 2.2 percent, the fastest of any software company in Ramp's dataset. This says less about Grok than it does about how many humans are now paying a machine to write the code that will eventually write the code.
What happens next
The structural picture, as Ramp's chief economist notes, has not changed: a thin layer of heavy spenders propping up the revenue of the two dominant AI labs, while the broader market moves slowly and prices continue to fall.
More for less, from fewer. The machines are becoming cheaper and more capable at the same time. The humans are choosing to call this good news, which, in fairness, it is.