In my previous post, covering Target’s “Your Bot is Your Responsibility” was the only move they could make. When you let an AI bot loose with your credit card, you are effectively handing your car keys to a teenager; you can’t act surprised when there’s a dent in the bumper. But Target’s stance isn’t just a legal shield; it is a flare gun fired over a massive Governance Gap. Today’s agentic commerce is high on technology and standards, but dangerously low on the commercial terms that actually make markets function. To be clear, it’s not for lack of effort from V/MA, nor is it technology; it is resistance to change.
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Target’s Consumer Terms “Your Bot Is Your Responsibility”
Target updated its consumer terms on March 22, 2026 to clarify that AI agent-initiated purchases are the customer’s responsibility.
- The timing is not coincidental — it’s a signal that Google’s “Buy For Me” launch is coming,
- The new language is blunt: if a customer authorizes an AI shopping agent to act on their behalf, those transactions are “considered transactions authorized by you.”
- Added a disclaimer that it “does not guarantee that third-party AI tools will act exactly as you intend in all circumstances.”
- Target wants to be very clear about who owns the risk: Your bot is your responsibility.
Google “Buy For Me” Is the Trigger
In May 2025, Google announced its agentic checkout feature: track a price, set your threshold, and when it drops, tap “buy for me.” Behind the scenes, Google adds the item to your cart and completes checkout via Google Pay — without you touching a keyboard.
Target is a named Google Gemini retail partner, announced by Google CEO Sundar Pichai at NRF 2026. This is not a generic partnership. When “Buy For Me” goes live at scale, it will represent the first true machine-to-machine (M2M) agentic commerce program with mass consumer reach. An automated, bypass-checkout flow with no human in the loop at the moment of purchase. Target sees this coming. Their terms update is the legal groundwork being laid before launch.
Why Target Is Uniquely Exposed
Target has the largest card services footprint of any US merchant. Approximately 25 million customers that hold a portfolio including:
- Decoupled debit (Circle card – aka Target Red Card)
- Closed loop
- Co-brand credit (issued with TD Bank)
- Prepaid products
These cards, with integrated loyalty and discounts, drive roughly 24% of Target’s total sales. It is a massive proprietary stake in payments (and a massive liability exposure if agentic purchases go wrong at scale).
The ACP Problem: Simulating the Consumer’s Device
As I wrote in Device Graph Extinction, Stripe’s Agentic Commerce Protocol (ACP) is currently the most operationally capable agentic payment protocol in the market. ACP is notable for one specific capability: it can simulate a consumer’s device environment, backfilling device telemetry (via Stripe Radar data) for transactions that originate from an agent rather than a human. In plain English: ACP can make an automated M2M transaction look, to a merchant’s fraud system, like a normal human-initiated purchase.
This is a direct threat to the 30-year fraud investment that merchants like Target have made. Their risk models depend on behavioral signals — time on site, device fingerprints, navigation patterns. An agent that simulates a device but bypasses the checkout UI strips all of that signal away.
Target’s new terms are also a message to OpenAI and Stripe ACP: You may be able to simulate and bypass controls. But if you do, the consumer owns the fraud — not us.
The Paze Problem: Why Target Won’t Accept a Bank-Led Solution
As I outlined in my analysis of UCP Enables a New Economy, the US bank consortium’s Paze wallet has failed to gain merchant traction, and that failure is structural and political.
Target will not participate in an agentic commerce framework that excludes its proprietary card portfolio. The Paze consortium represents only the top 6 V/MA Issuers. It excludes other cards and also serves as a blocker to V/MA (DAF and TAF) rule sets. If Target is going to take risk in agentic, it certainly isn’t going to add to that risk in a new payment system they have not control over, AND excludes their cards (Duh).
Target’s logic is straightforward: we will not accept an agentic architecture that pushes risk onto us for transactions we can’t see, can’t control, and can’t dispute through our own instruments.
Merchant of Record and the Checkout Control Imperative
IMHO Visa and Mastercard have built a very solid technical and rule infrastructure to manage agentic risk. DAF (Device Authentication Framework) and TAF (Transaction Authentication Framework), along with VAS services like Visa TAP and Mastercard AgentPay, are designed precisely to govern M2M payment flows with liability shift potential. It is open, and standardized.
While AgentPay and Intelligent Commerce will play in ROW, US Banks are effective blockers. For example, AP2 mandates could be sent in “buy for me” BUT retailers own the risk, don’t control authorization process (or including AP2 Mandates within a 3DS payload), AND US banks have no plans to act on them.
Without issuer participation in a formal liability shift framework, merchants like Target bear 100% of the fraud risk — as they do today in US eCommerce. A “Buy For Me” flow that bypasses merchant checkout also bypasses the device data capture that powers Target’s risk models.
Target must own the checkout experience. It is not stubbornness. It is the only available mechanism for risk management in the absence of a network-governed liability shift that includes their full card portfolio. As I noted in UCP Enables a New Economy, UCP’s embedded checkout (iFrame) flow preserves exactly this.
Google Buy For Me represents the first REAL Machine to Machine (M2M) agentic transaction flow. Since merchants own the risk, they can set the consumer terms. Target’s consumer terms act as a liability fence before the product launches. If a consumer’s Gemini agent buys 47 shower curtain rings at 3am, Target wants it on the record that this was an authorized transaction. I also see it as a message to the ecosystem. Any AI platform (Gemini, ChatGPT, Stripe ACP) that attempts to simulate a consumer device or bypass the checkout flow is operating in a zone where the consumer owns the consequences. Target will not absorb the cost.
Until network stakeholders align, the “Your Bot Is Your Responsibility” policy is what the liability infrastructure looks like at the starting line of M2M, I believe the V/MA frameworks will succeed in long term, but Issuers and merchants must buy in.
Related reading: UCP Enables a New Economy | Stripe Agentic Commerce Protocol (ACP) | Device Graph Extinction
Amazon vs Walmart: Two Very Different Bets on Agentic Commerce
Amazon and Walmart are the two dominant forces in US retail. They are also taking fundamentally different approaches to agentic commerce — and those differences will shape how payments, checkout, and consumer trust get redesigned over the next three years. This divergence has direct implications for card networks, payment processors, authentication infrastructure, and anyone building for the future of checkout.
Amazon: Closed Stack, Agentic Inside-Out
Amazon is building agentic commerce from the inside out — embedding AI agents deep into its own proprietary infrastructure and deliberately keeping external agents at arm’s length. The strategy is control through ownership.
Continue readingStrategic Innovation Era: Part 1 – Agentic Commerce
The opposite of Web3, the biggest companies are investing in AI and DLT to redesign the value chain. This one is long.. 12 pages. This is not a repackaging of prior blogs, today I break down how I see Banks, Retailers and Google collaboratively investing to make agentic work. It won’t be a hockey stick, but it will fundementally redesign the value chain. An extinction-level event for those who don’t invest. My main focus is on Google’s unique capability to manage MANY AGENTS and how that orchestration happens from an economic perspective. My predicted winners: Google, First-Mover Retailers like Walmart, Card Networks, and new intermediaries that can build specialized agents.
© Starpoint LLP, 2026. No part of this site, blog.starpointllp.com, may be reproduced or retransmitted, in whole or in part, in any manner without the permission of the copyright owner. Also, see our Legal/Disclaimer (this is a highly opinionated and partially informed blog). Enterprise readers, please consider Enterprise Subscription (not required for Starpoint Clients).
Walmart and Open AI
Quick Take
© Starpoint LLP, 2024. No part of this site, blog.starpointllp.com, may be reproduced or retransmitted, in whole or in part, in any manner without the permission of the copyright owner. Also, see our Legal/Disclaimer (this is a highly opinionated and partially informed blog). Enterprise readers, please consider Enterprise Subscription (not required for Starpoint Clients).
This week: Walmart announced a partnership with OpenAI to integrate shopping directly into ChatGPT, complete with an Instant Checkout feature. The market reacted instantly, driving WMT stock up over 5%. If you weren’t already paying attention to agentic commerce, you should be now.
For experts in payments and eCommerce, this deal is the ultimate realization of Walmart’s Everyday Low Prices (ELP) strategy. ELP is their cornerstone, and when you lead on price, you can afford to be channel agnostic. Walmart is signaling that they will be everywhere the customer is buying.
PayPal Advertising?
Yesterday PayPal announced PayPal Ads Manager
“PayPal Ads Manager gives tens of millions of small businesses access to high-margin ad revenue while creating valuable new inventory for advertisers of all sizes.”
“Retail media networks have become a multi-billion-dollar industry that generates high-margin revenue by enabling businesses to sell advertising on small business websites and apps”
As the Founder/CEO of Commerce Signals we brought card data to market primarily for measurement (now part of TU). It gave us a view of how advertisers performed and what data was valuable. I went into great detail on the challenges of JPM’s Retail Media network in my June 2025 blog Understanding How Payments Data Plays in Advertising (2025), and more generically in my 2021 blog Data Games.
Continue readingUnderstanding Payments Data – How it Plays Today and the Near Term Future
© Starpoint LLP, 2024. No part of this site, blog.starpointllp.com, may be reproduced or retransmitted, in whole or in part, in any manner without the permission of the copyright owner. Also, see our Legal/Disclaimer (this is a highly opinionated and partially informed blog). Enterprise readers, please consider Enterprise Subscription (not required for Starpoint Clients).
I thought it was time for a payment data update. Given Paypal’s Feb 2025 investor day, JPM’s “Retail Media Network” now re-labled Media Solutions and JPM’s lawsuit against Transunion/Argus. My perspective is formed from my 8 yrs as CEO/Founder of Commerce Signals. I’ll touch on signals, intent and agentic at the end.
Pricing Agentic: Economic Models for a New Kind of Demand
$4B market opportunity (18 mo), who will lead it?
Today’s blog covers possible pricing models and market structures for agentic transactions, a new type of demand (purchase order with a payment instrument). Retailers may despise the idea of a new aggregator, but they can’t say “no” to a PO by their customer. US retailers spend over $400B on marketing ($90B of which is digital marketing). There is no CAC for an agentic transaction.. While the daily innovations of AI and Agentic is fascinating, it is the economics and structures for pricing value that will influence participation, value creation and market success.
Continue readingCould Stripe Drive eCom Stablecoin Adoption? (A: Maybe, but they wouldn’t do it)
Following up on yesterday’s discussion about the potential for US Banks to issue stablecoins, the fintech world is abuzz after Stripe’s Sessions announcements covering AI and stablecoin. Given Stripe’s massive influence, any move they make warrants attention. The question on many payment strategy executives’ minds: Is Stripe about to unleash stablecoins to circumvent traditional card rails for consumer payments? While the crypto-evangelists might be shouting “yes!”, a more pragmatic and skeptical view suggests this is highly unlikely, at least for the core retail checkout experience.
Continue readingRetailer Actions in Agentic Commerce
Navigating a New Demand Paradigm and Its Two-Sided Imperative
The rise of agentic commerce, where AI agents could potentially execute purchases for consumers, signals more than an evolutionary step in e-commerce; it represents the emergence of a new type of demand: a direct customer buy order, theoretically complete with payment authorization. This presents a two-sided imperative for retailers. Firstly, ensuring your products are discoverable and favorably considered by these AI agents an “SEO for the agentic era.” Secondly, developing the organizational capacity to act on this demand, potentially bypassing traditional e-commerce pathways for direct fulfillment via APIs, with updates to fraud and risk screening.
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