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AI didn't kill your app – lack of validation did

AI as a scapegoat for product failures

The rapid development of AI tools like Claude and Agent8 has left many product developers unsettled. Instead of questioning their own approach, they blame the advancing technology. Justin Ekwueme, an experienced startup advisor, firmly disagrees with this perspective.

Validation as the core of success

"Validation isn't a step – it's the whole game," Ekwueme emphasizes in his recent Twitter thread. The expert argues that many startups fail because they don't adequately test their ideas before investing resources in development. The assumption that a product can succeed in the market without verifying actual demand is a fundamental mistake.

The traps of premature development

Ekwueme identifies a recurring pattern: developers get excited about an idea, immediately start implementation, and often realize too late that there's insufficient market demand for their solution. In an era where AI tools can replace existing applications in record time, this mistake becomes particularly costly.

Strategies for successful validation

The expert recommends a systematic approach: first clearly define the problem, then survey potential customers, and finally test a minimum viable product (MVP). Only after successfully completing these phases should full development be invested in. This process protects against the bitter experience of developing a product that nobody needs.

Outlook for the AI era

Despite the challenges posed by AI, Ekwueme sees opportunities for well-thought-out products. The key is identifying niches where human creativity and specific expertise provide added value that cannot be easily automated. Products that solve real problems and are based on validated customer needs have good prospects for success even in the AI era.