The Productivity Show · Asian Efficiency

Why Waiting on AI Is Becoming Risky: The Widening Skill Gap and Your Plan to Stay Ahead (TPS607)

April 6, 2026·57 min·5 clips

Tan warns that waiting on AI could leave you far behind, just like those who missed the Google revolution in 1998.

The starting point is simple. AI is becoming a way people prove ideas, explain what they need, and get stuck work moving again. Brooks has already run into this at home, in the car with his son on the way to the bus stop. That small moment opens up the bigger concern: the gap is appearing before a lot of people feel ready for it. Old signals still matter, but Tan and Brooks keep coming back to demonstration. A working prototype can make a stronger case than a polished explanation of what someone studied. The clearest example is someone in tech. Instead of only writing specs or user stories, that person may now be expected to build a rough functioning version with Lovable or another vibe-coding tool. Production still belongs with the development team, which would probably rebuild it securely and at scale. The first pass just proves the idea in a way words cannot. Brooks then carries the same point into forestry. A student could show an app that calculates tree growth or harvesting output. The degree is not thrown out. It just has to sit beside visible proof that the person understands the work and can turn it into something useful. The social gap shows up too. In a book-club conversation about co-intelligence, some people are interested, some are skeptical, and some do not see why anything should change. Workplaces have the same spread. The risk is not that everyone must become an AI expert overnight. It is that waiting keeps narrowing the room to move. Their advice is modest: use ChatGPT, Claude, or another AI tool every day, especially when the thought comes up that maybe AI could help. Repetition matters more than hype. Try it on real chores, like updating an Excel file, and the tool may do more than expected.

As heard by us

A practical warning about why demonstrating AI skill matters now.

The episode makes a steady case that waiting for AI to become unavoidable is the wrong move. Its core idea is plain: people need something concrete to show, not just a credential or casual interest.

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Why you'd press play

You need this if you are still deciding whether to jump on the AI train.

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