Shopify Reduces Stripe Dependency

This week Shopify released its Fall ’26 Edition content. The payments news is that Shop Pay now works inside personal agents (Muse, Claude Duet, Grok Bot and Instinct), and it works for brands that are not on Shopify. I found a great tech overview of the payment portion in Shopify Takes Shop Pay Into AI Agents and Off Platform Checkouts (The Defiant, Oct 29, 2026).

I am positive on Shopify as the best agentic enabler for merchants. ShopPay is also the best converting consumer wallet in eCommerce. Edition outlines how ShopPay competes directly with Stripe Link, at the moment Stripe is seeking to expand its consumer role within agent permissioning (see last week’s blog Stripe Link Balance). Stripe and Shopify have been partners for more than a decade. Payments is now a core area of friction.

You need to be logged in to view the rest of the content. Please . Not a Member? Join Us

Stripe Link Balance

This week Stripe launched Link balance for AI agents, starting with Instinct (Announced on X by Stripe). Stripe balance is the “agent control dashboard” where Consumers add money, set a per purchase limit, and their agent can buy without asking for approval every time. Read it. On the surface it is a wallet feature. Underneath it is Stripe building a consumer business, because right now Stripe is the only company that can make agentic payments work.

I think this is brilliant, but Issuing banks, merchants, MSPs and other agentic Platforms should take note of Stripe’s very big expansion into consumer direct interaction

What Stripe Launched

The stack has four parts

You need to be logged in to view the rest of the content. Please . Not a Member? Join Us

Banks are Blocking Agents – Why?

On JPMorgan’s third quarter earnings call this week, Jamie Dimon said the bank will block outside AI agents from logging in to customer accounts (Fortune, Oct 15, 2026):

“We’re not going to allow just any outside agent to come inside the company, because that’s just too risky for clients and for JPMorgan. You don’t want rogue agents.” Jamie Dimon, JPMorgan Q3 2026 earnings call

Citi and Bank of America have since put similar restrictions in place (Yahoo Finance). My friend Simon Taylor covers the story from the innovation and enablement side in Fintech Brainfood, and he makes good points. I write this one from the bank side. Jamie Dimon is spot on here. In a big way.

Continue reading →

Agentic Reality: Advertising

The hype machine behind agentic commerce is at its apex. Every week brings another protocol announcement, another pilot, another prediction that autonomous agents will soon do our shopping for us. For payment executives trying to separate signal from noise, here is the signal: the first real agentic business model is not autonomous checkout. It is advertising.

What Is Actually Working: AI Inside the Retailer

AI is making great strides within the retailer’s own domain. Amazon’s Rufus, Walmart’s Sparky, and Michaels’ “Mike” are conversational agents built by retailers, trained on their own assortment and category expertise, driving basket sizes up over 35% in the best implementations. Amazon told investors that Rufus helped generate nearly $12 billion in incremental annualized sales, with monthly active users up 115% and users 60% more likely to complete a purchase (Bain & Company, “Agentic AI in Retail: How Autonomous Shopping Is Redefining the Customer Journey,” May 2026). Michaels took “Ask Mike” from concept to production in six weeks on Google Cloud, as I covered in Google Pulls Back From “Buy For Me”.

Continue reading →

MPP Phase 2 Live – Ask Tom Goes Agentic

Long blog – First 2 Pages are economic implications, last 6 pages are tech deep dive

MPP is a big deal because value exchange enables specialization and market forces to operate (as discussed in last week’s MPP – Addressing the Internet’s “Original Sin”.MPP and X402 are BIG.. really big. A whole new market. This isn’t about cash replacement or taking share from xx this is about enabling a new Economy. Today’s blog is 4 paragraphs of the economic implications (for investors and CEOs), followed by 4 pages on tech detail covering what I built. Please note “Ask-Tom” is just a model of an x402 service…. of course it won’t generate much demand (service ID is at bottom).

First, let me try to explain why this is such a big deal from an economic perspective. The foundational driver for MPP’s success is the radical reduction of transaction costs through standardized commercial terms. As outlined in my 2016 blog Small Wins, the forces that once drove asset-heavy, integrated organizations are atrophying in favor of “refragmentation” and specialized networks. Historically, the economic cost of inking a bilateral contract for every micro-interaction was prohibitive (ex “Account Creation” bottleneck that stifled agentic autonomy). Following the principles of Ronald Coase’s Transaction Cost Economics, MPP and x402 provide the multilateral governance and common commercial rules necessary to bypass these friction points. By establishing trust and speed through a common interface, these protocols allow for the “Small Win” of a single transaction to scale into a global network effect, where the cost of connection approaches zero.

This standardization enables the “Value Assembly” of “super-specialists” who can target previously unreachable “shale deposits” of niche market demand (see Network Effects and Value Assembly). A successful network enables specialists like “Ask-Tom” to provide high-value, grounded intelligence without the overhead of building independent settlement or reconciliation infrastructure. This is far beyond mere “agentic commerce”; it is an evolution in how software and hardware interact with EVERYTHING ECONOMICALLY. For example, MPP’s session-based economics provides a virtual “bar tab” for agents to execute tasks within human-granted budgets, paying only for precise resource consumption. This creates a sustainable commercial model where the incentives for specialization and market forces to operate on software service at a hyper granular level. Market forces in turn encourage specialists to solve increasingly granular problems across diverse domains, and unlocks the “shale deposits” of data that doesn’t play. I’ll discuss what this could look like next week as a follow up to Value Assembly.

Continue reading →

Machine to Machine Transactions: How to Resolve Trust and Governance Gaps. 

FIDO, VC, AP2, Tokenization, Credential Issuance, Biometrics, …etc

Executive Summary

The transition to agentic, machine-to-machine (M2M) commerce creates a profound governance gap that existing technology-first standards cannot fill. Today, human-in-the-loop (HIL) transactions, whether at a point-of-sale or in eCommerce, are secured not by technology alone, but by the robust, contract-based governance and risk-allocation models of networks like Visa and Mastercard. As stated previously, V/MA are the identity infrastructure for the internet and identity is the core “shaping force” for all new payment schemes.

Continue reading →