"The arrival of large language models (LLMs) like ChatGPT felt like a fresh breath of air for the industry. Many companies, including some of the biggest names in the tech world, jumped head first onto the AI hype bandwagon, promising incredible new products and features. While this seems like a new frontier for product teams, it isn't always as easy as it sounds in a meeting room."
"To get started, let's take a look at what's been one of the most spectacular falls from grace. Builder.ai: Manufactured magic Builder.ai built its narrative around democratizing software development through the power of AI. Its core promise was quite groundbreaking: non-technical users could describe a software product idea, and AI would make it happen within hours. But instead of sophisticated automation, reports revealed that the actual engine behind the product was a massive offshore workforce manually building each project."
Most product managers pursue the role to create new products and deliver valuable features, not for technical tasks. The arrival of LLMs like ChatGPT generated strong industry excitement and prompted many companies to promise AI-powered innovations. Marketing hype often outpaces engineering reality, producing difficult implementation challenges. Builder.ai claimed to democratize software creation with AI but relied on a large offshore workforce rather than automation. Even established companies such as Apple have struggled to deliver on AI promises. Overpromising AI features risks user trust and brand damage. Product teams should avoid exaggerated claims and focus on achievable, well-communicated feature roadmaps.
Read at LogRocket Blog
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