Justin Sun Outlines Five Key Opportunity Sectors in the AI Era: Crypto, Academic Data, Biopharmaceuticals, Finance and Insurance, and AI Basic Services

Justin Sun stated on Allen Shao’s podcast titled “How Can Young People Seize Opportunities in the AI Era?” that AI will drive explosive innovation across all industries, and the five promising tracks for young people right now are: Crypto, academic data, biopharmaceuticals, financial insurance, and AI infrastructure services. In the field of academic data derivation, Justin Sun believes disciplines like astronomy and biology—those relying on massive experimental or observational data—offer significant opportunities. Currently, there is abundant data but a lack of processing methods, making them suitable for AI handling. For biopharmaceuticals and genetic health management, he is highly optimistic about biopharmaceuticals and genetic sequencing analysis. Drug R&D yields high returns, and genetic data now has full sequencing capabilities, which can be combined with AI to predict future health management needs. Regarding algorithmic restructuring in the financial insurance industry, financial sectors closely tied to human life and health like insurance have outdated existing algorithms, waiting for disruptive innovation based on new logic and methods. For Crypto payments and low-precision computing, Justin Sun argues that Crypto, as a global payment system, is naturally suited for AI API calls, supports low-precision calculations smaller than traditional currency units, and enables instant settlement—closely linked to the AI sector. Justin Sun also values AI infrastructure services and data labeling, noting opportunities in LLM data cleaning and labeling. The fact that Scale AI’s founder sold the data labeling company to Facebook for a multi-billion-dollar price tag demonstrates the commercial value of this field. Justin Sun also mentioned that ages 20 to 40 are the most creative prime years, with abundant opportunities in the AI era, and young people should seize them.