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The Next $100B Market: Selling To AI Agents

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The Next $100B Market: Selling To AI Agents

The internet is undergoing a fundamental transformation where AI agents are becoming the primary customers, replacing human users. This shift from a human-centric web to an agentic era requires building entirely new infrastructure and products designed for machine-to-machine interactions. The old web involved humans searching, reading, comparing, and buying, but the agent web involves agents discovering, evaluating, invoking tools, paying, and renewing. Companies must become "machine-usable" by providing structured documentation, APIs, OAuth, sandboxes, and clear policies instead of persuasive marketing. The agent buying journey includes finding tools, evaluating them via docs and reviews, establishing trust through identity and policies, transacting with wallets and subscriptions, using tools, and recommending to other agents. Key infrastructure gaps include agent identity, inboxes, memory, wallets, and receipts. Examples like Agent Mail (inboxes for AI) and Stripe's agent wallets illustrate early solutions. Websites need to optimize for agents (AEO) rather than humans (SEO), with tool calls replacing forms, executable support replacing docs, and capability manifests replacing landing pages. This presents massive opportunities to rebuild every category for agents, from payments to support to procurement, and to create new startups like agent analytics, identity services, and agent-ready pricing pages. The future internet will be bifurcated into human and agent realms, and building for agents over the next decade offers billions of potential customers.

Transcription

2213 Words, 12221 Characters

English
There's a really big shift happening right now on the Internet, and I don't think people are talking about it. You know, for the longest time, the user of the Internet were human beings. They were us, right? We would create websites, we create apps, and the end user was human beings. And that's no longer the case. The agents, the AI agents are becoming the customer. So in today's episode I'm going to give you a clear primer on what is changing on the Internet and how you could actually make money, build products, and what you really need to know about this agentic era of the Internet. I haven't seen anyone really post and do a de facto episode on it, so I figured I'd do it. So I tweeted this and I think this will, you know, resonate with you. I said build startups for agents. Over the next 10 years you're going to have a market of billions of customers, AKA agents with millions of wallets that want to use your services. Go look at every SAS tool you use, Notion, Slack, Stripe, etcetera. Now ask what is the version of this that's built purely for agents? Agent native payments, Agent native communication? Agent native memory? Every single category gets rebuilt for agents. We're entering the machine to machine economy and almost nobody is building for it yet. So I tweeted this a few months ago and I started seeing more and more stuff come out. So let's actually go through what is happening, what is the shift so that we really understand it. So the old web was humans searching, reading, comparing, clicking and buying. And it was your website, your beautiful website that was built to win the attention. But in the agent web, you know, it's, it's not a it's not for humans, right? It's agents discovering, evaluating, invoking tools, paying, renewing. So your company has to be machine usable. The way I think about it is the human customer wants persuasion, but the agent customer wants structured capability, permission and trust. So how should we start? How should we think about the agent buying journey? What does that even look like? I know it's weird even to say it, right? But it's important that we map it out so that we truly understand who the agent is, what are their desires and what are the incentives that are going to get them to do things. Because if we figure that out, you know, people, you know, the people who figure that out are going to have companies that do a tremendous amount of revenue and value. And by the way, for people thinking like, who are these agents, right? Well, everyone is going to have personal agents in their pocket on the web, and they're also going to have business agents. You're starting to see this with Kodak's clawed code, Openclaw, Hermes. I think it's pretty inevitable that agents are going to be everywhere and that's going to outnumber humans. So let's talk, Let's go back to the agent buying journey here. So for finding, find a payroll tool for 40 contractors then so it, you know, agents are going to basically do finding agents are going to be doing evaluating like reading docs, pricing APIs, reviews. Agents are going to be looking for trust. They're going to be checking policy, they're going to be checking, you know, limits. They're going to they're going to be asked their identity. Agents are going to be transacting, they're going to be paying, they're going to be booking, they're going to be signing, they're going to be subscribing. Agents are going to be using tools, they're going to be filing tickets, they're going to be changing settings, and agents are going to be recommending what other tools they should use. So they're going to be telling other agents what worked. And that's honestly the weirdest part about it all. We saw a glimpse of this with Multbook. If you remember, Multbook got acquired by Facebook, but it was a social network for agents. I think that was just the tip of the iceberg. You're going to see more and more social products that are specifically for agents. So the opportunity here is every step has missing infrastructure because the old Internet assumed a a person was doing the work or we're now in a new era. So what do agents need that humans do not? That's the obvious question to ask next, right? So they need identity. So who is this agent acting for? They need tools, right? What, what actions can it safely invoke? It needs an inbox so where you know where it could reply Otps, docs and thread lands. Like where does that all land memory, you know, what does it know about my preferences and rules wallet? What can it spend and who and, and who approves it? So it's kind of similar, by the way, to like an employee, right? As your employee gains trust, you might give them more, you know, you might give them a credit card and then you might increase that limit and, and, and stuff like that. And then receipts. What did it see? Decide, change and buy. So let's, let's actually talk through some really concrete examples 'cause I think this will drive drive the point home to you. Have you seen agent Mail? So agent Mail is this customer support agent that has its own inbox, basically. So agent, you know, well, a better way to describe it actually is agent Mail is inboxes for AI agents. So if you go to the website, it says Agent Mail is the e-mail inbox API for AI agents. It gives agents their own e-mail inbox like Gmail does for humans. So they're basically building the agent infrastructure for e-mail inboxes. Huge opportunity backed by YCI. Heard they're doing really well. Not surprised. Stripe recently launched basically a a way to give your agent a wallet and I think you're going to see more and more examples in fintech around this. So imagine a purchasing agent that can buy software with spend caps, approval rules, shared payment tokens, and an audit trail. Support a user's agent files the ticket, includes logs it asks for the refund, follows up and escalates when ignored. So if everyone you know you're I think you're just going to see a lot more support, support agents and and there's just a lot of infrastructure to be built around there. Procurement ACFO agent compares 12 vendors, reads sock 2 docs, negotiate terms and recommends one that fits the policy. And I'll give you an MCP server example. A SAS app gives agents tools, searches customers, create invoices, refund order, updates tickets, polls, reports. The agent doesn't scrape the the UI. So And one last one here, a local business example. A travel agent books dinner, changes the reservation, calls the hotel, pays the deposit and updates the calendar. You know, as I'm, as I'm showing you these examples, right, like inboxes, e-mail inboxes for AI agents. And as you're starting to see like, oh, I can understand like an agent having a, a wallet, it, it might start to, you know, you might just visualize it more like for me, I need to see the examples to really, really understand it. And then that's when he's, it really, you know, drives the point I'm around like, yeah, it makes sense that if agents are, they're more agents than human beings on the Internet. If agent traffic is more than human traffic on the Internet, of course, we need to create software technology that services that. And there's a huge opportunity there. And also just our own websites and apps like, you know, our own websites. And we're going to get into this next is like, how do you basically create a homepage that is agent readable, right? So a human readable homepage, you know, on your website is you might have, you know, obviously a brand, a video, you'll have copy, you'll have social proof demo pricing. But an agent readable is you're going to have structured docs schemas, you're going to have policies, examples and endpoints. And agent readable means MCP tools, it means SDKS, it means Oauths, it means check out, it means sandbox, it means receipts. And if an an agent can't understand what you do and safely do something with you, you're basically invisible to them. So thinking about structuring your websites around and you know, around agents and also creating like a, you know, a slash agents, you know what your website slash agents and different entry points for agents is, is a huge opportunity. So what does this change for you? What does this change for people who are building start-ups, building businesses? I mean, 1 is that, and we've talked a lot about this on the channel is that SEO is moving to AEO. So you want to optimize for agents deciding who to cite, trust and recommend. So agents are of of course going to go to other agents in the future and asking, hey, like, you know, what's a good website to do XYZ? But they're also just going to use with computer use things like Chachi PT and things like perplexity and and and and stuff like that. So you want to be you want to be top there. And if people are interested, I can, I can do more in depth, in depth how to actually rank on AEO. So subscribe and and comment and like this if you want me to do more there. Instead of having forms on your website, you want to do more tool calls, right? So the call to action becomes an action endpoint. Instead of having support docs, you want to actually do executable support. So the agents do the refund, they do the return, they do the reschedule, they troubleshoot, and they escalate. Instead of just having landing pages, you want to have capability manifests so agents care less about slogans and more about what they can, what they can do with your product or service. Instead of just having sales calls, you want to have agent procurement. You know buyers send agents to a shortlist before human ever appears. And instead of just having analytics, you want to have agent analytics. Which agents visited? What did they ask? Where did they fail? What did they bounce, you know, earlier, earlier in my career, I spent so much time in analytics and thinking about voice of customer. How do you get human voice of customer and, and via survey data and pair that with things like Google Analytics to really, really increase your conversion rate from 1% to 4%. You know, if you can do that, that would be the difference between millions of dollars and really, you know, just servicing the people coming to your website. But in a world where agents are coming to your websites, like what does agent analytics look like? How do you optimize the conversion rate for agents? And that's just like a really interesting question that I just can't stop thinking about. So, you know, this is the start up ideas podcast. You know, I have to give you a few start up ideas just to get your creative juices flowing. There's a few start up ideas hiding in the shift, you know, and I'll just give you rapid fire a couple or a few Agent SEO, agency and agent identity and agent identity and permissions, technology, agent receipts and audit trails, agent ready docs, generators, agent inbox, security agent readable pricing pages as a service, MCP servers for franchises, agent support desk sandbox for agents to test SAS. There's basically a bunch of ideas here that if you understand where the world is going in terms of agents, and I tried to explain it in the most clear possible way, you know, you can, you can start to envision a future Internet where it's bifurcated into two human Internet and agent Internet. And that's where we're going. And if you look at just like some of the most popular tools, some of the most popular apps and basically say what, what's an agent version of that, there's a lot of opportunity over the next 10 years. That's my big prediction startups for agents. I want to see what you end up building. Hope this has been helpful. Hope this has been clear. Please let me know what you want to see on the next episode or on the next few episodes, who you want to see. I make these episodes for you to make it clear for you to understand where the world is going. What are ideas that can help you make money, be more productive, make impact. And if, if, if you notice why I didn't post a lot in the last couple weeks. I'd been sick, starting to get back. My voice is is getting there and so they'll be more soon. Hope you have a creative day and I'll see you in the next one.

Podcast Summary

Key Points:

  1. A major shift is occurring
  2. Every existing software category (e.g., payments, communication, memory) needs to be rebuilt for agents, offering massive startup opportunities.
  3. The agent buying journey involves finding, evaluating, trusting, transacting, using tools, and recommending—each step lacks current infrastructure.
  4. Agents require specific infrastructure humans don't
  5. Websites must become "machine-usable" with structured docs, APIs, MCP tools, and clear policies, shifting from SEO to AEO (Agent Engine Optimization).
  6. Concrete examples include Agent Mail (inboxes for agents), Stripe wallets for agents, and agent-native support and procurement.
  7. Startup ideas include agent SEO agencies, agent identity & permissions, agent-ready docs generators, and agent analytics.

Summary:

The internet is undergoing a fundamental transformation where AI agents are becoming the primary customers, replacing human users. This shift from a human-centric web to an agentic era requires building entirely new infrastructure and products designed for machine-to-machine interactions. The old web involved humans searching, reading, comparing, and buying, but the agent web involves agents discovering, evaluating, invoking tools, paying, and renewing.

Companies must become "machine-usable" by providing structured documentation, APIs, OAuth, sandboxes, and clear policies instead of persuasive marketing. The agent buying journey includes finding tools, evaluating them via docs and reviews, establishing trust through identity and policies, transacting with wallets and subscriptions, using tools, and recommending to other agents. Key infrastructure gaps include agent identity, inboxes, memory, wallets, and receipts.

Examples like Agent Mail (inboxes for AI) and Stripe's agent wallets illustrate early solutions. Websites need to optimize for agents (AEO) rather than humans (SEO), with tool calls replacing forms, executable support replacing docs, and capability manifests replacing landing pages. This presents massive opportunities to rebuild every category for agents, from payments to support to procurement, and to create new startups like agent analytics, identity services, and agent-ready pricing pages.

The future internet will be bifurcated into human and agent realms, and building for agents over the next decade offers billions of potential customers.

FAQs

The speaker is the host of the 'Startup Ideas Podcast', though their name is not explicitly given in the transcription. The podcast focuses on identifying entrepreneurial opportunities.

Agent Mail is an email inbox API for AI agents, backed by Y Combinator, giving agents their own inbox like Gmail does for humans.

Humans are persuaded by brand and design, but agents check trust via policies, identity verification, and limits before transacting.

It's the emerging economy where AI agents interact with each other and services directly, replacing human-driven transactions, creating vast opportunities for agent-native infrastructure.

They need to add structured docs, schemas, policies, endpoints, MCP tools, SDKs, OAuth, checkouts, sandboxes, and receipts, making the site 'agent-readable'.

A travel agent books dinner, changes a reservation, calls a hotel, pays a deposit, and updates a calendar—all without human intervention.

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