00:33:04 · Zubin Vandrevala, Aman Narain
[00:33:04] S1: Yeah. And now the critical part. Let's start with prompt injection and scope creep, a website that talks your agent into express shipping you never asked for. In fact, OpenAI reportedly shelved an internal project... Internal model called Astra over scope and authorization. The other one is surveillance pricing, which is why Walmart made the pledge. Here's another one. Liability gaps. No protocol yet settles who pays for an agent's mistake. And then let's talk about gatekeepers. Three or four agents replace the search box and the shelves at once. And finally, I wanna end with, you know, what most Europeans care a lot about and most of all of us should care about is data sovereignty. Muse launched in The US and Canada alone and essentially left out the EU. [00:33:59] S0: The human edge. Chenbows pay insurance deductions and incentives are set by a dispatch algorithm, and nobody negotiates with that. As agents speed up the front end, the pressure lands on the person carrying the bag. So three waypoints. 2027, the trough. 2030, business buying and household replenishment at scale. 2035, software as the default shopper for staples. First to go, the boring, low regret, repetitive stuff, detergent, invoices, chargers. The last to go will be fashion, luxury, fresh produce, anything that is emotionally loaded.
00:33:59 · Aman Narain, Zubin Vandrevala
[00:33:59] S0: The human edge. Chenbows pay insurance deductions and incentives are set by a dispatch algorithm, and nobody negotiates with that. As agents speed up the front end, the pressure lands on the person carrying the bag. So three waypoints. 2027, the trough. 2030, business buying and household replenishment at scale. 2035, software as the default shopper for staples. First to go, the boring, low regret, repetitive stuff, detergent, invoices, chargers. The last to go will be fashion, luxury, fresh produce, anything that is emotionally loaded. [00:34:47] S1: And let's run the scorecard test. Replenishment loses the attention friction, and only rails stand in its way. Fashion loses a friction people enjoy, so behavior stops it. OpenAI reportedly stepped back from In Chat checkout in March. We covered this and reportedly blamed rails and support load, not the model. [00:35:13] S0: Okay. Act four. And the reason a banker and a payments man care about shopping. Checkout used to be the end of the journey. Now it's the trigger for the whole money OS. Five verbs, one line each. [00:35:29] S1: Yeah. Which is... We talked about this. Right? Let's start from see. Agents leave an audit trail, and Walmart's agents profiles show each agent's order against its own limit. Sold seals every agent's order land as its own customer. The risk for a bank is that all it sees is an open token. [00:35:50] S0: Move. Tokens, one time cards, x four zero two for machines, UPI in India, and in Shanghai, Linway never sees the payment at all.
00:35:50 · Aman Narain, Zubin Vandrevala
[00:35:50] S0: Move. Tokens, one time cards, x four zero two for machines, UPI in India, and in Shanghai, Linway never sees the payment at all. [00:36:01] S1: Number three, borrow. The agent picks between your cards and buy now, pay later in milliseconds. Imran and Lexis already choose credit on UPI at checkout. [00:36:12] S0: Grow rewards and yield. An agent working to your rules will always reach for the card with the better offer. So the habit of using whatever card sits on top of the wallet goes. That's big. Yeah. [00:36:28] S1: And and and five is protect. Liability and know your agent. Everything we said in rails. [00:36:34] S0: So the contest at the checkout isn't really about payments. It's about who owns the customer relationship. [00:36:42] S1: And treasury watch the operating accounts and sweeps anything above Friday's payroll into a tokenized treasury fund without asking anyone. [00:36:52] S0: Treasures have swept cash for decades. What's new is the agent doing it unprompted on rails that reach retail deposits too. Some commentators have called that the agentic bank run, where idle money leaves 0.1% accounts for 3.3 to 5% or high yield savings accounts. That's a scenario from commentary. It's not a forecast, but it's also why part three exists. [00:37:19] S1: Alright. Let's let's do this. Bets, one each. Mine follows the wall concession. By the 12/31/2027, Amazon publishes a official program, API or MCP endpoint that lets named outside agents search and buy on amazon.com. Resolution, Amazon's newsroom or developer document.
00:37:19 · Zubin Vandrevala, Aman Narain
[00:37:19] S1: Alright. Let's let's do this. Bets, one each. Mine follows the wall concession. By the 12/31/2027, Amazon publishes a official program, API or MCP endpoint that lets named outside agents search and buy on amazon.com. Resolution, Amazon's newsroom or developer document. [00:37:42] S0: I think that's a good one. Mine follows the liability. By the 12/31/2027, more near term, Visa or Mastercard publishes a dispute rule or reason code specific to agent initiated transactions or CFPB. The Fed or Britain's FCA issues a rule or formal guidance on who's liable when an agent buys the wrong thing. Resolutions, the network's published rules or the regulator's own website. [00:38:15] S1: And I'm not if we're wrong. [00:38:17] S0: Same deal as part one, Zubin. We come back on air and we eat pie, humble pie. [00:38:23] S1: That's right. That's right. And and by the way, can feel it. Here comes the mic drop.
00:38:23 · Zubin Vandrevala, Aman Narain
[00:38:23] S1: That's right. That's right. And and by the way, can feel it. Here comes the mic drop. [00:38:27] S0: Go back to Memphis. Clarence Saunders took the clock away and handed his shelves to strangers. Then go to Atlanta in 2030 where Tamika hands the shelf to software. Both times, the technology is the easy part. The one number, less than 1%. AI is barely a buyer today. The hype is right about the direction and wrong if you'd like about the timing. The trick from Hangzhou, eBay had the better technology. Alibaba held the buyer's money until goods arrived. It took the strangers risk off the buyer, and it won. The agent's error will be won by the same way, by whoever underwrites the software's mistake. And who is the customer when the customer is the software? In law, it's still Topeka. In commerce, whoever stands behind the agent when it gets it wrong. The firm that says, if my software buys the wrong thing, that's on me. Every shopping revolution looked like a technology story and turned out to be a trust story. This one will too. Which is why part three is about the bank. Because while the software shops, someone still has to hold the money. [00:39:43] S1: So that's part two of the future of series. We talked about work, shopping, and next, banking. [00:39:51] S0: A question for you. And and tell us in the comments, would you let software do your weekly shop? And what limit would you set it? $50? A 100? None at all?
00:39:51 · Aman Narain, Zubin Vandrevala
[00:39:51] S0: A question for you. And and tell us in the comments, would you let software do your weekly shop? And what limit would you set it? $50? A 100? None at all? [00:40:01] S1: And by the way, we read every answers, even the ones written by agents. And for the record, final score, act one to Aman, two concessions to me. [00:40:11] S0: He's been waiting all episode to say that. Okay. Part three, the future of banking lands in a couple of weeks. And if you want the long read, I'll be issuing an essay on A Man Who Blocks. [00:40:24] S1: Alright. Subscribe and share this with that one person in your team who still thinks agents are a twenty thirty five problem. And leave a review. It helps people like you find us. [00:40:36] S0: Stay curious. [00:40:37] S1: Stay purposeful, and stay within your limits. And by the way, one more thing. [00:40:43] S0: Go on. [00:40:45] S1: Picture Kaseya's treasury agent moving money at two in the morning. Software asks, software checks, software receives. The only part in that chain that still has to know a human by name is the bank. [00:41:00] S0: So the bank may be the last place the customer is still a human. [00:41:04] S1: Sets us up real well for part three. This is A2Z Fintech.