Reference🤖 Agentic payments & AIIntermediate⏱ 12 min read

🔮 Agentic commerce: scenarios for 2030

Analyst estimates run from $144 billion to $5 trillion: what the projections actually say, who stands to win or lose, and what nobody can yet call

Why the projections are so far apart

The major research firms disagree by a factor of 35 on how big agentic commerce will be in 2030. The gap reflects the definition each one uses more than the quality of its models. Some count only purchases executed by an agent. Others count every purchase influenced by AI, including search, comparison, and recommendations.

$3T to $5T
in global sales “orchestrated” by agents in 2030, per McKinsey (up to $1 trillion of it in the US)
McKinsey, Oct. 2025
$190B to $385B
in US e-commerce executed by agents in 2030 (10% to 20% of the total), per Morgan Stanley
Morgan Stanley, Dec. 2025
$144B
by 2029, per eMarketer: the low end of the range, based on a strict definition
eMarketer, 2025
$15T
in B2B spending eventually flowing through agent-to-agent exchanges, if AI mediates 90% of B2B purchases by 2028
Gartner (projection), 2025
SourceHorizonMetricWhat is counted
McKinsey (Oct. 2025)2030$3T–$5T globally; up to $1T in the USCommerce “orchestrated” by AI: influence plus execution, broad scope
Morgan Stanley (Dec. 2025)2030$190B (base case) to $385B (high case), USUS e-commerce actually executed by agents
eMarketer (2025)2029$144BStrict definition of an agentic purchase
Gartner (2025)2028Over $15T, B2BB2B purchases mediated by agents, a separate scope
Emerging consensus203010%–25% of US e-commerce, or roughly $200B–$500BPurchases in which an agent plays a significant role
Reading an agentic commerce projection: start with the definition
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The signal in the noise
For all the spread in their numbers, the projections agree on one point. Every one of them puts the share of e-commerce involving agents by 2030 in the double digits. The debate is now about how big and how fast, not whether.

Three scenarios for 2030

Forecasting here works through scenarios rather than a single prediction. The three paths below bracket most published analyst views. Shares are expressed as a percentage of e-commerce in developed markets.

ConservativeBase caseDisruption
Share of e-commerce executed by agents≈ 5 %10%–20% (Morgan Stanley range)Over 25% (McKinsey high end)
Main triggerAgents remain a search channel; the human still makes the final clickInstant Checkout and similar features go mainstream; mandates become a de facto standardRecurring purchases (groceries, consumables, subscriptions) move to autopilot at scale
Payment railsAlmost exclusively tokenized cardsCards dominate, stablecoins hold machine-to-machine, and A2A waits in the wingsA reshuffle: the rail becomes invisible, and the agent picks the cheapest one for each transaction
Main obstacleFraud, disputes, and reluctance from consumers and merchants (the Amazon-Perplexity precedent)How fast merchants publish structured dataRegulation and concentration: two or three agent platforms control access to the customer
Agentic commerce scenarios for 2030 (Paypedia synthesis, July 2026)

The 2026 data still fits both the base case and the disruption scenario: AI traffic is growing fast, it converts better than conventional traffic, and Europe has seen its first live transactions. Payments history counsels caution. Contactless took 10 years to catch on, and that was with the infrastructure already in place.

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The share of recurring purchases that run on autopilot is the most telling variable to track. These purchases are low-risk and high-frequency, which makes them the easiest to delegate. If they tip, volumes will shift far faster than they would with impulse buying.

Potential winners and losers

Agentic commerce puts three separate profit pools in the value chain up for grabs. Advertising and SEO own discovery today, e-commerce platforms and PSPs own checkout, and the card networks own the payment rail. Each scenario redistributes them differently.

CompanyBest caseMain threat
Card networks (Visa, Mastercard)Agentic tokens win out: every agent purchase stays a card transaction, with richer dataMachine-to-machine payments slip away to stablecoins; interchange comes under pressure if agents pick rails on cost
A2A / instant payments (Wero, Pix, UPI)Agents ignore marketing and pick the cheapest rail, so A2A wins payments where card protections matter littleNo native framework for agent mandates; payer protection still has to be built
Stablecoins (USDC, EURC)De facto standard for machine-to-machine settlement (x402, pay-per-crawl, APIs)Tougher AML rules; reliance on the dollar is a problem outside the US
Agent platforms (OpenAI, Google, Anthropic…)Become the front door to commerce and take a cut (already about 4% on Instant Checkout for Shopify merchants)Gatekeeper regulation (DMA), merchant pushback, mandated interoperability
PSPs and orchestratorsNew services to sell: multi-protocol integration, KYA, mandate management, rail routingMargin squeeze if agents negotiate acquiring costs in real time
MerchantsMerchants that control their product data get global distribution with no ad spendDisintermediation: the brand disappears, prices are compared constantly, and merchants depend on agent platforms
Traditional search advertising–The most likely loser: agents skip the banner ads and read data, not slogans
Who wins what, depending on the dominant rail
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What about the banks?
Banks issue the cards and hold the accounts, so they keep the trust relationship and the KYC of the human who gives the mandate. Their best play by 2030 would be to become the “mandate vault,” where people manage, cap, and revoke their agents.
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What about Europe?
Worldline and ING proved it works in production in June 2026, and Wero is moving into e-commerce. The estimate of €310 billion in agent-assisted European transactions by 2036 shows how much is riding on sovereignty.
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The standards battle
Five protocols are competing (AP2, ACP, UCP, x402, TAP). Payments history (EMV, 3-D Secure) suggests that one or two standards will survive in each layer. Whoever controls the “mandate” layer will control trust, and with it the margin.
Key playersVisaMastercardWEWeroPixUPUPIOPOpenAIGOGoogleCOCoinbaseStripeAdyen

Checkout and the PSP business in 2030

If the base case or the disruption scenario plays out, checkout as we know it disappears for a growing share of transactions. For those flows, there is no longer a payment page, a form, or a purchase funnel to optimize. In their place, the agent, the merchant, and the rail negotiate through APIs, out of the human’s sight.

The 2030 “checkout,” as the payment system sees it
Agent
Presents mandate + signed identity
Cardholder’s limit, scope, and rail preferences
Merchant
Returns price + accepted rails
Tokenized card, A2A, or stablecoin, with the cost of each
Orchestrator
Picks the best rail
Trades off cost, speed, and protection for each transaction
Selected rail
Settles and notifies
Evidence archived: mandate, signed cart, settlement
  • Conversion optimization (A/B testing buttons, one-click) loses value; the quality of data and APIs gains it.
  • The PSP becomes a rail orchestrator and trusted third party: it verifies agents (KYA), executes mandates, routes to the lowest-cost rail, and arbitrates machine disputes.
  • Fraud prevention shifts from “Is this click human?” to “Is this mandate valid, and can this agent be trusted?”
  • Customer support partly becomes agent-to-agent support: systems negotiate disputes, returns, and refunds with each other, under human supervision.

For payments professionals, the practical takeaway is the same in every scenario. The skills gaining value are machine identity management, mandate compliance, and multi-rail orchestration. None of these three projects depends on how big the channel ultimately gets, so all of them can start now.

Open questions

As of July 2026, five questions still have no settled answer. They cover consumer appetite, the outcome of the litigation, standards consolidation, where regulators land, and the economics of the channel.

  • Actual consumer appetite: handing off search is one thing; handing off payment with no confirmation step is a much bigger leap of trust. Adoption of “human not present” mandates at scale is still unknown.
  • The legal outcome: the Amazon-Perplexity case (injunction in March 2026, appeal pending) will decide whether a merchant can block agents, and so whether the channel develops with or against the big marketplaces.
  • Standards consolidation: will AP2, ACP, UCP, and x402 converge, or will we face 10 years of costly fragmentation, as with wallets?
  • Where regulators land: SCA and PSD3 rules for mandates in Europe, AML treatment of machine micropayments, and whether agent platforms count as gatekeepers. That makes three open questions and not one final text.
  • The economics of the channel: if agent fees (about 4% on Instant Checkout) stack on top of existing fees, some merchants will not find it worthwhile. Final pricing has not settled yet.
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Beware of extrapolation
The 393% jump in AI traffic that Adobe measured starts from a low base. Some of the “agents” counted in 2026 are actually humans clicking through from a chatbot. Strong relative growth from a small base says nothing about the absolute share eventually reached, as the 2012 forecasts for mobile payments already showed.
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The bottom line
Agentic commerce is the first major reshaping of e-commerce since the smartphone arrived. Its exact scale is still uncertain, but the building blocks (agent identity, mandates, structured data, multi-rail) will be needed in every scenario. That makes them the most defensible investment at this stage.

Three topics cover each building block in depth: Agentic payments: the fundamentals (protocols), Agent identity and mandates (trust), and Stablecoins and machine-to-machine settlement (alternative rails).