AI, technology, education, and ideas about what comes next.
If AI reduces the amount of human labour needed to produce goods and services, the real question is not simply how to save existing jobs. It is how society should redesign work, income and economic participation.
AI may not need to replace entire occupations to transform employment. By reducing tasks, expertise, construction time, maintenance and labour required per unit of output, AI could change the relationship between production and employment itself.
AI is making intellectual execution abundant. Explore why specialised judgment, critical checkpoints and AI orchestration may reshape expertise and create a K-shaped economy.
AI is weakening the scarcity of specialised knowledge and execution. What does that mean for professional careers, education and the future value of expertise?
AI may displace existing tasks—but job-loss forecasts can miss the new fields, micro-specializations and expert networks that become possible when the cost of thinking falls.
An AI investment bust need not end the AI revolution. Explore how service-sector productivity, reusable data centres, real estate, capital flows, commodities and monetary policy could interact.
AI may not need to eliminate your job to eliminate the economic value of your job. The deeper disruption can begin with tasks, hiring, salaries, career ladders and ownership long before the layoff.
AI can create extraordinary abundance while changing the economic value of human work. The deeper question is not only what AI can produce, but who will own, earn and participate in the economy it creates.
A concise exploration of how automation and AI could change the relationship between economic usefulness, ownership, bargaining power and democracy.
When AI and robotics make production increasingly abundant, the bottleneck may move from productivity to human attention, agency, meaning and choice.