The Peter McCormack Show
#192 - Amy Webb - The Future of Work, AI & Human Labor
- AI as a self-improving, general-purpose technology fundamentally different from previous innovations like the printing press because it can evolve unpredictably without human guidance.
- The distinction between "thinkers" (continuous learners with deep experience) and "think-nots" (those who stop learning) determines vulnerability to job displacement, not simply which jobs disappear.
- "Contribution credit" proposed as an economic solution: companies share a percentage of AI-driven profits to reward both past labor (retroactive payment for training data) and invisible community work.
- Strategic foresight as rigorous data-driven forecasting distinct from hype; governments failing to plan transitions effectively (coal-to-tech retraining failures cited).
- Synthetic biology and longevity research accelerated by AI, particularly relevant for disease treatment and agricultural resilience rather than near-term timelines.
- Regulation of AI is counterproductive; market-based mechanisms and contribution frameworks preferable to top-down control.