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 companies are approaching a turning point: remain providers of powerful research tools, or become intellectual institutions that discover and commercialize ideas themselves. The difficult territory lies between the two.
The deepest consequence of advanced AI may not be unemployment, inequality, or even superintelligence. It may be something more unsettling: the gradual disappearance of the reasons human beings…
If humanity’s accumulated knowledge helps create extraordinary AI wealth, should humanity receive more than a basic income?
A Nobel economist’s new paper on automation and repression raises a disturbing question about what happens when humans become less economically necessary.
AI capability is not the same as AI judgment. As machines become capable of producing almost anything on demand, the scarce resource may become the human ability to decide what should actually be done.
AI is becoming extraordinarily good at doing things. Yet it can still misunderstand what a person actually means. The deeper problem may not be intelligence, but judgment: knowing what matters in the first place.
AI may compress management layers, change the value of human expertise and alter how we write. This podcast episode connects those ideas through one question: who holds the judgment when machines hold the scale?
AI may do more than replace individual tasks. By automating information processing, coordination and decision-making, it could compress the managerial hierarchy itself.