Enterprise AI Is Learning To Charge For Work, And Owning The Outcomes Becomes The Contest

The most consequential change in enterprise AI this year is not a model release, it is a change in what buyers agree to pay for. OpenAI’s CFO has recast the buyer’s question away from cost per token and towards cost per successful task , proposing “useful intelligence per dollar” as the scorecard and arguing that AI should be measured by work accomplished rather than usage. By August 2026, the same leadership was telling investors that the age of “tokenmaxxing” had passed, as enterprises routed