AI Agent Permissions Are Becoming the New OAuth Problem

AI agents are outgrowing the login button The first generation of AI apps mostly needed access to information. A chatbot could read a document, summarize a meeting, or answer a support question. That was powerful, but the security model was familiar: connect an account, fetch some data, and let the user decide what to do next. AI agents change the shape of the problem. They do not only read. They send emails, file tickets, update CRMs, create invoices, modify calendars, open pull requests, and purchase services. The question is no longer simply whether an AI model can access an app. The question is what the agent is allowed to do once it gets there. That makes permissions one of the most important product layers in the AI agent stack. The industry solved a version of this problem before with OAuth, the protocol that lets one app access another without sharing passwords. But agents are stretching OAuth-style consent to its limits. A human clicking allow for a static integration is not the same as an AI system making dozens of context-dependent decisions over time. Static scopes do not fit dynamic work Most software permissions were designed for predictable applications. A cale