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A sharp deep dive into the “Intelligence Revolution”—a structural shift where AI targets cognitive work, not just physical labor. This episode explores why past automation cycles created jobs, but today’s AI may be different: moving at “broadband speed,” substituting high-skill roles, and enabling hyper-lean companies with extreme productivity per employee.
With a focus on Australia, it unpacks the growing “adopter gap,” stalled productivity despite widespread AI use, and the policy response—from sovereign compute to worker protections. The episode closes on the real stakes: a potential redefinition of work itself, rising job insecurity, and emerging ideas like UBI and the four-day workweek as society adapts to an AI-driven economy.
By Daniel WalterA sharp deep dive into the “Intelligence Revolution”—a structural shift where AI targets cognitive work, not just physical labor. This episode explores why past automation cycles created jobs, but today’s AI may be different: moving at “broadband speed,” substituting high-skill roles, and enabling hyper-lean companies with extreme productivity per employee.
With a focus on Australia, it unpacks the growing “adopter gap,” stalled productivity despite widespread AI use, and the policy response—from sovereign compute to worker protections. The episode closes on the real stakes: a potential redefinition of work itself, rising job insecurity, and emerging ideas like UBI and the four-day workweek as society adapts to an AI-driven economy.