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If everyone can write, code, and create with AI, what will people still pay for?
When intelligence becomes cheaper to access, value may shift toward things that remain difficult: understanding real problems, checking answers, earning trust, and reaching the right people.
In this episode of Future Thinking Lab, Bryan explores how cheaper AI could reshape work, business, and opportunity. Through examples involving restaurants, startups, engineering, and podcasts, discover why a cheap answer isn’t always a cheap outcome—and why greater productivity doesn’t guarantee everyone benefits.
We finish with a practical experiment to identify where value sits in your own work: if your first draft cost one cent and took ten seconds, what would still stand between you and a useful result?
