Does agent-initiated commerce break existing payment infrastructure?
As AI agents begin making purchases on behalf of users, payment gateways and fraud detection systems designed for human interactions face structural challenges. Understanding whether current infrastructure can adapt matters for commerce, fraud prevention, and consumer protection.
Katharina Schumacher and Roger Roberts, with Katharina Giebel, writing for McKinsey & Company (QuantumBlack), argue that the shift from direct human purchases to agent-initiated transactions breaks an assumption baked into existing payments infrastructure. In their words: "As commerce transitions from direct user interactions to agent-initiated transactions, the existing payments infrastructure will encounter significant structural challenges. Traditionally, components such as gateways and fraud engines have been built around a human-in-the-loop model, in which identity, intent, and authorization are explicit and observable." When an agent — not a human — clicks "buy," the signals that gateways and fraud engines were designed to read (a human physically present, typing a password, observably forming intent) no longer hold.
McKinsey's proposed mechanism for closing this gap is Google's Agent Payments Protocol (AP2), described as "a groundbreaking open, payment-agnostic protocol designed to empower autonomous and semiautonomous AI agents to make verifiable purchases on behalf of users." AP2 works, per the excerpt, "by utilizing cryptographically signed mandates that link intent, cart, and payment across users, merchants, and payment networks," which McKinsey says "creates an audit trail, not subject to repudiation, ensuring transparency and accountability." The claimed payoff is threefold: new revenue from automated "standing intents," lower fraud and chargeback costs, and a reshaping of competition as "agent routing algorithms optimize for cost, speed, and rewards." The signed mandate is offered as a replacement for the human-observable signals that fraud engines used to rely on.
This sharpens a problem that identity-infrastructure notes elsewhere treat more abstractly. Can existing identity standards work for AI agents? proposes reusing OAuth, OIDC, and SPIFFE/SPIRE rather than building new agent-specific protocols; McKinsey's account of AP2 is a counterexample in practice — a purpose-built agent protocol (signed mandates tying intent to payment) rather than an adaptation of existing enterprise identity standards, which raises the question of whether payments specifically need bespoke protocols even if other agent-identity problems do not. It also gives a concrete commercial setting for the authorization and proportionality gap named in Why do agents fail at identity verification and authorization?: the "human-in-the-loop" assumption McKinsey describes breaking is exactly the explicit-authorization signal that red-teaming found agents can fail to respect.
The excerpt does not establish whether AP2 has been adopted by any payment network, merchant, or card issuer at the time of writing, nor whether cryptographic mandates actually reduce fraud and chargebacks in practice rather than merely shifting liability or creating new attack surfaces (a compromised or manipulated agent could still sign a mandate the user never intended). It is McKinsey's characterization of a vendor protocol's design goals, not an independent or empirical evaluation of AP2 in use — the implication that this ensures transparency and accountability holds only to the extent the protocol is implemented correctly and widely adopted across the payments ecosystem it depends on.
Inquiring lines that read this note 31
This note is a source for these research framings, grouped by the broader line of inquiry each explores. Scan the bold lines of inquiry; follow any specific question forward.
How should agent identity and authorization work across organizational boundaries?- What identity and authorization standard would satisfy both consumer and merchant requirements?
- Can authenticated delegation tokens prevent merchants from absorbing agent payment liability?
- Should payments infrastructure adopt agent-specific protocols or reuse existing identity standards?
- What consumer and merchant benefits does agentic commerce create?
- How might card networks recognize agent-operator liability to shift risk away from merchants?
- Does merchant liability move up the agentic commerce protocol stack?
- Can existing unfair commercial practices law cover agentic transactions today?
- How does merchant-of-record status persist through API-based agent integrations?
- How does travel commerce become the first proving ground for agents?
- Where exactly does fulfillment infrastructure value concentrate in travel booking?
- Why do current agentic commerce platforms mostly build platform-owned agents?
- How does agent intent differ from consumer account recognition?
- Who bears liability when an autonomous agent makes an unintended purchase?
- What fraud losses result when behavioral biometrics disappear in agent transactions?
- How does agentic commerce on crypto differ from consumer-authorized AI purchases?
- What payment methods does AP2 support beyond traditional cards?
- Why do consumers want to approve purchases before agents pay?
- Do consumers want to approve AI agent purchases before money is spent?
- How can systems separate AI decisions from actual payment execution?
- How much do consumers trust AI agents with banking and payment authority?
- How quickly might agentic payment tools like OpenAI Operator reach banking use?
- Why do most people distrust AI agents with payments?
- Why do most consumers distrust AI assistants with payment data?
- What real-world agent teams currently operate on self-issued sub-wallets?
- How do card controls like single-use limits address agent payment risk?
- Why do consumers trust Visa more than AI agents with payments?
- How much have agent payment volumes grown compared to human payments?
- How should payment systems authenticate that an agent has buyer authority?
- Do existing fraud detection models work for agent payment behavior?
Related concepts in this collection 5
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Can existing identity standards work for AI agents?
NIST's NCCoE is exploring whether established protocols like OAuth, OIDC, and SPIFFE/SPIRE can solve identity and authorization challenges for autonomous AI agents, rather than requiring entirely new agent-specific standards.
McKinsey's AP2 is a purpose-built agent payment protocol, a counterexample to NIST's preference for reusing existing identity standards
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Why do agents fail at identity verification and authorization?
Agent systems reveal critical gaps in identity verification, authorization enforcement, and proportionality constraints that don't appear in chat models. Understanding these failures is essential because they enable unauthorized real-world actions rather than just wrong answers.
the human-in-the-loop authorization signal McKinsey describes breaking is the same explicit-authorization gap red-teaming found agents can fail to respect
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Could agentic commerce reach one trillion dollars by 2030?
McKinsey projects that AI agents acting on behalf of shoppers could orchestrate up to $1 trillion in US retail revenue by 2030, enabled by emerging interoperability protocols. What assumptions and adoption rates underlie this market-sizing estimate?
sibling note from the same source; the payments strain described here is the structural challenge behind the revenue opportunity projected there
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Does agentic commerce shift fraud liability onto merchants?
When AI agents handle purchases, behavioral fraud signals disappear and merchants remain liable. Does this structural shift leave merchants without traditional fraud-detection protections they once relied on?
Extends A's infrastructure-strain claim: Boboev shows fraud signals vanish and merchants bear liability under every agentic payment protocol
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What blocks autonomous agents from handling purchases at scale?
Federal Reserve Governor Waller identifies authentication, liability, and fraud as concrete barriers preventing AI agents from reliably making purchases on behalf of consumers. Understanding these challenges shapes how the payments industry builds trust in delegated commerce.
Evidence for A's strain claim: Fed Governor Waller names authentication, liability, and fraud as the concrete barriers blocking scale
Related papers in this collection 8
Papers most semantically related to this note, ranked by cosine similarity in the embedding space.
- The agentic commerce opportunity: How AI agents are ushering in a new era for consumers and merchants
- How Agentic AI Will Reshape Payments
- Payments in the Age of AI Agents
- Deep Dive: The hidden liability of agentic commerce
- The Coasean Singularity? Demand, Supply, and Market Design with AI Agents
- From Product Search to Preference Articulation: The Economics of Agentic Commerce
- AI Agents Want to Shop for You: The Future of Agentic Commerce
- Infrastructure for AI Agents
Original note title
McKinsey argues agent-initiated commerce strains payments infrastructure built for a human-in-the-loop model