Trust and governance become central, requiring evidence that agents act in users’ best interests and comply with permissions, and that counterparties are legitimate and accountable.

Overall impact points to a shift from consumer-driven comparison shopping to AI-driven decision-making that determines where money goes across products, prices, and payment options.

AI agents could transform how consumers choose payments by evaluating factors such as interest rates, cashback, foreign transaction fees, fraud liability, and compliance status, turning top-of-wallet decisions into a data-driven scorecard.

Consent evolves into a tradable product with clear visibility, revocation controls, and machine-readable warranties that specify liability for transactions.

Networks of AI agents may negotiate on behalf of retailers and consumers, with retailer agents prioritizing price, waste, and sustainability while consumer agents bargain against them.

AI-driven negotiations could reshuffle competition among banks and payment providers, letting the option with the best overall consumer outcome prevail.

By 2027, AI agents could negotiate prices at scale, turning shelf prices into starting offers and enabling value through bundles of discounts, warranties, service tiers, or loyalty benefits rather than simple price cuts.