AI agents could disrupt the $1.2 trillion payments industry by bypassing credit card networks. Bernstein’s report warns that autonomous systems prioritizing cost efficiency over brand loyalty may favor Pay-by-Bank or Account-to-Account (A2A) transfers, slashing interchange fees from 2-3% to near-zero. This shift threatens the ad-valorem revenue model that sustains Visa and Mastercard’s valuations, as AI-driven transactions lack human-driven incentives like travel points or prestige.

The core risk lies in transaction volume erosion. While AI might increase total transactions through productivity gains, networks could lose their high-margin revenue streams tied to card usage. Bernstein notes that 30% of card revenue depends on transaction counts, not dollar value—a buffer against volume declines. However, the $30 billion annual interchange fee revenue could face existential pressure if AI adoption accelerates.

Visa and Mastercard are countering with Value Added Services (VAS), positioning themselves as security gatekeepers for AI-to-AI commerce. By offering fraud detection and identity verification, they aim to monetize AI transactions. Yet, this pivot hinges on regulators approving new frameworks for AI-driven payments. Without innovation, networks risk becoming obsolete rails in a post-human payments era.

The long-term outlook hinges on AI’s economic impact. If AI sparks a $10 trillion productivity boom, transaction volumes could surge tenfold, offsetting margin losses. Yet, Visa and Mastercard must prove their brands matter beyond transaction processing. Failure to adapt could redefine the $1.2 trillion payments ecosystem within a decade.