The report "Goldman Sachs Predicts AI Agents Will Increase Tech Cash Flow" describes a concrete shift in local wallets and aggregated payments. New Goldman Sachs research argues that agentic artificial intelligence will reshape the financial landscape at major tech companies. Complete the form to unlock this article and enjoy unlimited free access to all PYMNTS content — no additional logins required. By completing this form, you agree to receive marketing communications from PYMNTS and to the sharing of your information with our sponsor, if applicable, in accordance with our Privacy Policy and Terms and Conditions. A report last week from the Wall Street banking giant argues that the adoption of autonomous AI agents is expected to drive a 24-fold increase in global token consumption by 2030, reaching 120 quadrillion tokens processed per month. With computing costs decreasing in tandem, AI players are poised for a period of “margin inflection,” said Jim Schneider, the senior equity analyst covering U.S. semiconductor and IT services at Goldman Sachs Research. “The concern in the generalist investor community is the sustainability of capex because the free cash flows of hyperscalers have been compressed,” Schneider said. The answer lies in the underlying economics of the problem.

Most teams scale more smoothly when they reduce parallel work-in-progress and focus on a shorter list of high-impact changes that can be verified quickly.