Why 99% of AI-Built Products Will Fail (Even Though Anyone Can Build Them Now)
Anyone can now build a CRM, a SaaS, an MVP with AI in a weekend. 99% will still fail. The tools just got democratic. Domain expertise is where the moat moved.
Software decisions compound. A pricing model picked in week three of a SaaS launch sets the unit economics for years. A custom CRM that fits your sales motion saves a hire by month three. An AI layer scoped well in month one delivers measurable lift by quarter one. Three solid pieces from this archive should remove at least a week of guessing from the next decision in front of you.
Walk in mid-decision and walk out with a sharper view of it. Whether you are weighing build vs buy, picking a stack, scoping an AI layer that looked easy in the demo, redesigning a UX flow that loses users at step three, or deciding whether to keep patching a migration that quietly grew over months. The next decision should feel less guesswork-shaped.
Topics here range across AI implementation, SaaS strategy, custom CRM, HR tech, e-commerce, software engineering, data and analytics, design and UX, and domain-specific software for financial markets, TradingView, and real estate. Plus inside stories: short reads on what we learned building real products for real businesses.
Anyone can now build a CRM, a SaaS, an MVP with AI in a weekend. 99% will still fail. The tools just got democratic. Domain expertise is where the moat moved.
Your product delivered. v0 generated the UI. Then every product launched the same week looks like yours. Code can hide AI convergence. UI/UX cannot. The fix is the design workflow.
Your real estate MVP launched fast. It also delivered into a market where every competitor MVP looks like yours. Common AI made you productive. Custom workflows make you different.
Your CMO opens 2 proposals: yours and a competitor's. Which is ours? Nobody can tell. This article is about that question and the matrix that answers it.
Imagine your AI review in 2027. The productivity charts are gone. Uniqueness scores replace them. The 18 months between now and 2027 is the build window.
Ask common AI for a hero image. Your competitor gets the same one back. The fix is not a better prompt. It is custom workflows wrapping common AI in your data and voice.
AI productivity is solved. Every business gets the same lift. The only axis still creating separation is uniqueness, and the businesses that move now win the next decade.
The cart and checkout funnel loses most of your buyers before they pay. The fix is not a better funnel. It is no funnel. Featureless commerce keeps the product page, replaces the eight steps after it with one Buy action, and pushes everything else into workflows you own.