AI becomes table stakes, not differentiation
Build products that survive if the AI gets cheaper or breaks; use AI to improve them, not replace the underlying value.
May 19, 2026
Summary
Most ChatGPT wrappers are collapsing because they lack defensibility when model vendors ship competing features or API costs drop. Your workflow depends on knowing whether you're building a durable product or a temporary arbitrage on model availability.
Why it matters
Most ChatGPT wrappers are collapsing because they lack defensibility when model vendors ship competing features or API costs drop. Your workflow depends on knowing whether you're building a durable product or a temporary arbitrage on model availability.
Implementation verdict
Replaces the "AI-first" positioning that dominated 2024–2025 pitch decks. Requires you to define your product's value without the AI layer first. Apply this test now to any AI feature roadmap: if the model swapped to a competitor tomorrow, would users stay? If no, stop building.
Sources
- 1.when a capability becomes table stakes, branding around the capability becomes incoherent
- 2.a thin UI sits on top of someone else's model, charging a subscription for prompts the user could write themselves
- 3.The model vendor undercuts you
- 4.The switching cost is zero
- 5.build something that would still be useful if the AI got much cheaper or much worse, and then use AI to make it better
- 6.if the underlying model swapped to a competitor tomorrow, would it still be the best thing for the job?
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100+ sources compressed into one 4-minute read. Ranked, cited, implementation-ready.