The Next $100B Market: Selling to AI Agents
In this solo episode, I break down the shift from a human-first internet to an agent-first one, where AI agents become the customers that discover, evaluate, pay, and recommend. I map the agent buying journey and the new infrastructure agents need: identity, tools, an inbox, memory, a wallet, and receipts. I ground it with concrete examples like AgentMail and Stripe's agent wallet, then show how to make your website agent-readable through structured docs, schemas, MCP tools, and executable actions. I close with rapid-fire startup ideas and my big prediction for the next ten years: build startups for agents. Timestamps: 00:00 – Intro 00:49 – The tweet: build startups for agents 01:47 – Old web vs. agent web 02:24 – The agent buying journey 04:38 – What agents need: identity, tools, inbox, memory, wallet, receipts 05:30 – Examples: AgentMail, Stripe agent wallet, support, procurement, MCP, travel agent 08:24 – Building an agent-readable website 09:31 – What does this change for Startups 11:55 – Rapid-fire startup ideas for agents 13:07 – Closing Thoughts Key Points * I explain that AI agents are becoming the primary customers online, with agent traffic set to outnumber human traffic. * I lay out the agent buying journey: finding, evaluating, transacting, using tools, and recommending to other agents. * I list what agents need beyond what humans need: identity, tools, an inbox, memory, a wallet, and receipts. * I walk through real examples like AgentMail, Stripe's agent wallet, support, procurement, MCP servers, and a travel agent. * I show how to make a site agent-readable with structured docs, schemas, MCP tools, SDKs, OAuth, checkout, sandboxes, and receipts. * I share rapid-fire startup ideas for the agentic era and frame my big prediction: build startups for agents. Numbered Section Summaries 1. The Shift to Agents as Customers — I describe how the internet's end user is moving from humans to AI agents, and why this becomes one of the biggest opportunities of the next decade. 2. Build Startups for Agents — I share the tweet that sparked this: a market of billions of agent customers with millions of wallets, and a call to rebuild every SaaS category agent-native. 3. Old Web vs. Agent Web — I contrast the human web (searching, reading, clicking, buying through persuasion) with the agent web (discovering, invoking tools, paying, renewing through structured capability, permission, and trust). 4. The Agent Buying Journey — I walk through how agents find, evaluate, transact, use tools, and recommend other tools to fellow agents, citing Moltbook as an early signal of social products built for agents. 5. What Agents Need That Humans Skip — I outline the six building blocks agents require: identity, tools, an inbox, memory, a wallet, and receipts, comparing the trust curve to the way it grows with an employee. 6. Concrete Examples in the Wild — I make it tangible with AgentMail (inboxes for agents), Stripe's agent wallet, support and procurement agents, an MCP server for a SaaS app, and a travel agent that books and pays. 7. Building an Agent-Readable Website — I explain how to serve agents with structured docs, schemas, policies, MCP tools, SDKs, OAuth, checkout, sandboxes, and receipts, plus a dedicated /agents entry point. 8. What This Changes for Builders — I cover the move from SEO to AEO, tool calls over forms, executable support, capability manifests, agent procurement, and agent analytics, then close with rapid-fire startup ideas. The #1 tool to find startup ideas/trends - https://www.ideabrowser.com/ LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/ FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/
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Diese Folge hat ein vollständiges Transkript + KI-Insights
Kostenloses Konto · keine Karte nötig · 150 Credits nach Registrierung, genug für diese Episode
- 📄 Vollständiges Transkript mit Zeitstempeln
- ✨ KI-Zusammenfassung, Keywords & Mindmap
- 💡 Kernaussagen & Zitate
Episoden-Zeitlinie
The internet's user base is shifting from humans to AI agents, creating a new market opportunity.
- The internet's primary users are becoming AI agents, not humans, which changes how products must be designed and marketed.
- Greg tweeted about building startups for agents, predicting a market of billions of agent customers with millions of wallets over the next decade.
- He suggests reimagining every SaaS tool (like Notion, Slack, Stripe) for agent-native use, such as agent-native payments, communication, and memory.
The agent buying journey differs fundamentally from human buying, requiring structured capability, permission, and trust.
- Humans are persuaded by marketing, but agents seek structured capability, permission, and trust, so companies must be machine-usable.
- Agents will discover, evaluate, invoke tools, pay, and renew services, so businesses need to provide clear APIs, docs, and policies.
- Examples of agent actions include finding payroll tools, evaluating vendors, checking policies, transacting, and recommending tools to other agents.
Agents have unique needs that current infrastructure doesn't address, such as identity, tools, inbox, memory, wallet, and receipts.
- Agents need identity to know who they act for, tools to safely invoke actions, and an inbox for communications like OTPs and docs.
- Memory is crucial for agents to remember preferences and rules, and wallets with spend caps and approval rules are essential for transactions.
- Receipts are needed to track what agents saw, decided, changed, and bought, similar to employee expense tracking.
Schlüsselkonzepte
- AI agents— The central topic of the episode, referring to autonomous software that acts on behalf of users.
- agentic era— The new phase of the internet where AI agents, not humans, are the primary users and customers.
- machine-to-machine economy— The emerging economic system where transactions and interactions are conducted between AI agents.
Bemerkenswerte Zitate
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.
🤯— This reveals the massive scale of the agent market, which is often underestimated.
The human customer wants persuasion. But the agent customer wants structured capability, permission, and trust.
💡— This overturns the traditional marketing approach, highlighting a fundamental difference in how to appeal to agents.
Konkrete Handlungen
💼Business Strategy
The internet is shifting from human users to AI agents, creating a massive new market.
Identify one SaaS tool you use and brainstorm an agent-native version of it.
Every category of software will be rebuilt for agents, from payments to communication.
List three existing SaaS tools and sketch how they would work if designed for agents.
📈Marketing & SEO
SEO is evolving into AEO (Answer Engine Optimization) as agents become the primary searchers.
Audit your website for agent-readability: add structured data, clear policies, and API endpoints.
Websites need to be both human-readable and agent-readable, with structured docs and MCP tools.
Create a /agents page on your site that lists your MCP servers, SDKs, and API documentation.
Transkript und Insights werden KI-generiert und können Fehler enthalten. Die Genauigkeit hängt von der Audioqualität und der Deutlichkeit der Sprecher ab — bei Unklarheiten ist das Originalaudio die maßgebliche Quelle.
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