In this episode of Superhuman AI: Decoding the Future, Zain and Hassan share practical strategies for finding business opportunities in AI. They argue that building on foundational technologies like Chat GPT or Claude can be highly lucrative, citing successful examples like Perplexity, backed by Jeff Bezos.

They explore four key approaches. The Operational Expenditures Attack reduces operational costs through AI automation, as seen with platforms like Harvey AI, while Feature Arbitrage leverages new AI features to quickly build niche products, exemplified by Plug AI and Jenny AI. The Personal Problem Goldmine emphasizes solving your own challenges for impactful ideas, and the Money Trail Method focuses on industries with heavy funding, like Semantic Health, addressing hospital revenue inefficiencies.

Finally, they discuss the X for Y Formula, which adapts successful models like ChatGPT to new domains, and we learn why curiosity and observation are essential traits for spotting opportunities in the AI space.

What we talk about:

1:12 – How to find product ideas

3:03 – All about Operational Expenditures

10:37 – Using Feature Arbitrage for new product ideas

13:35 – Why being a GPT wrapper isn’t a bad thing

16:04 – The Personal Problem Goldmine

25:19 – Finding ideas with the Money Trail Method

30:33 – The ‘X for Y’ formula

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Méthode: biais cognitifs et reconstitution

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