How to Spend Your 20s in the AI Era

The hosts describe uncertainty among students and applicants about whether AI will reduce entry-level jobs. They cite a New York Fed figure of 6.1% unemployment for computer science majors, compared with 3.0% for art history majors. Gary argues that college should help students build agency and independence, since AI can already follow instructions well.

The panel says some computer science courses restrict tools such as Cursor, even as students learn by building side projects. They advise gaining technical skill through real projects and developing domain knowledge by spending time with potential customers. Harj suggests going undercover in workplaces to understand how people do their jobs and where AI could help.

The panel challenges the idea that this is the last chance to get rich, noting that a world with highly capable machines could change what money means. They point to small AI companies reaching substantial revenue quickly, including examples of teams growing from zero to $10 million or $12 million in annual revenue. Gary urges builders to focus on useful products and honest results rather than fundraising or online attention as status markers.

In response to a student weighing a startup job against university, Jared says the decision should reflect genuine readiness to leave college, not fear of missing out. Gary recommends evaluating startup opportunities carefully, keeping six to nine months of basic living expenses, and finding a co-founder for a first company. The panel also endorses starting with a focused niche, citing Airbnb, Stripe, and Coinbase as examples of companies that expanded from narrow beginnings.