Part 9/12:
Schmidt offers advice to entrepreneurs: the barrier to entering the AI field is now virtually zero. Starting a company requires minimal capital, and the rapid pace of learning can enable startups to scale quickly. He emphasizes that success will involve building scalable platforms with strong network effects— the kind of systems that lock users and other developers into a shared ecosystem.
He also urges founders to focus on continuous learning, emphasizing flexibility and quick iteration. The most promising companies are those that develop learning loops— feedback mechanisms where systems learn from new data to improve and become more autonomous.