AI Coding Collapsed the Moat: Target Customers Can Rebuild the Product Themselves, Killing Willingness to Pay and GTM Viability

Summary

Solo founders and indie hackers building with AI coding agents (Cursor, Claude Code, Codex) now face a fatal GTM paradox they cannot resolve: if they build for a technical or AI-fluent audience, the same buyers can 'prompt their way to a working v1' in a weekend, so there is no defensible reason to pay. The evidence is blunt — one builder asks outright, 'isn't the buildable-by-your-own-customers problem fatal? If my target market is fellow developers, why would they pay me when they can prompt their way to a working v1?' — and another shipped a landing-page generator only to find 'with AI and simple site builders everywhere, devs didn't really need another generic landing page... the reality? crickets, flat traction,' forcing a full year-late pivot. Founders are left unable to answer the pre-GTM question of why anyone would pay before they sink weeks of work, and existing advice ('find your own pain point,' 'niche down,' 'talk to users') actively contradicts the reality that AI makes their customer their own competitor. No tool or skill helps a builder test whether an AI-rebuildable proposition can actually be sold, so they burn months, get zero traction, and blame 'marketing' when the real failure is an unpayable moat. This is upstream of every channel tactic and remains completely unsolved.