Are We Heading Toward a Selective Utopia for the Rich?
AI may make intelligence abundant. But if access to that intelligence remains unequal, the future could be extraordinarily good for some—and surprisingly difficult for everyone else.
AI may make intelligence abundant. But if access to that intelligence remains unequal, the future could be extraordinarily good for some—and surprisingly difficult for everyone else.
Imagine a world where powerful AI stops being something controlled by a few companies and becomes a cheap, widely available tool that anyone can use to write, code, persuade, research, design and act.
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 may not make humans biologically less intelligent. But what happens if increasingly capable machines make us less willing—and less able—to exercise our own intelligence?
Humanity’s ancient dream of immortality meets a different transhuman path: continuous transformation of the conscious process rather than copying it into a machine.
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.
What if intelligence is not something that began with biological life? This deliberately unhinged hypothesis asks whether intelligence could be a deeper feature of reality—and whether what we call artificial intelligence is really discovering something much older.
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.
If humans cannot reliably understand a future superintelligence, perhaps control does not require understanding the mind. It may require controlling the systems, resources and physical interfaces through which intelligence can act.
AI could make software dramatically more useful while creating new conflicts between what users want and what AI providers may be rewarded for. The real question is who the agent ultimately works for.
What happens when intelligence becomes abundant? This essay argues that the physical limits of computation, energy, infrastructure and access may matter as much as raw model intelligence in determining how useful AI can become.
AI can help us research faster—but it can also become an extraordinarily efficient confirmation engine. This podcast episode explores why better questions, adversarial checking and human judgment matter when AI produces persuasive research.
As AI models become more capable, the bottleneck may shift to the human operating them. This podcast episode explores why judgment, questioning, selection and AI musicianship determine how much useful work we actually extract from powerful models.
