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

by · Inc42

SUMMARY

  • Enterprise AI pricing is shifting from tokens, seats and usage towards successful tasks and outcomes, as vendors increasingly charge for the work their agents complete.
  • As agents become embedded in enterprise workflows, the companies controlling the agent, workflow and outcome could gain greater pricing power, potentially moving from charging for AI usage to claiming a share of the value created.
  • Salesforce, Sierra and others are already experimenting with outcome-linked pricing, while Indian AI companies have an opportunity to build model-agnostic, domain-specific AI stacks that run on customer-controlled infrastructure.