Why most AI products fail: Lessons from 50+ AI deployments at OpenAI, Google & Amazon

Key Differences in Building AI vs Non-AI Products00:00

Building AI products is very different from building non-AI products. Most people ignore the non-determinism: you don't know how the user might behave with your product and you also don't know how the LLM might respond to that. The second difference is the agency control trade-off. Every time you hand over decision-making capabilities to agentic systems, you're relinquishing some amount of control. This significantly changes the way you should build product.

Recommend building step by step. Starting small forces you to think about the problem you're going to solve. In all these AI advancements, one easy slippery slope is to keep thinking about complexities of the solution and forget the problem that you're trying to solve. It's not about being the first company to have an agent among your competitors. It's about having built the right flywheels in place so that you can improve over time.

Ways of Working in Successful AI Companies00:30

Leaders have to get back to being hands-on. A CEO of Rackspace had a daily block from 4 to 6 a.m. for catching up with AI. You must be comfortable with the fact that your intuitions might not be right and you probably are the dumbest person in the room and you want to learn from everyone.

Persistence is extremely valuable. Successful companies building in any new area are going through the pain of learning this, implementing this, and understanding what works and what doesn't work. Pain is the new mode.