After the Race

How does the winner reshape global power?

AGI isn't just a technology — it's a force multiplier for every dimension of national power: economic output, military capability, intelligence, and diplomatic leverage. History suggests that decisive technological advantages rarely stay contained. What does a world with one dominant AI power actually look like, and how stable is it?

What happens to companies, markets, and capitalism?

When a system can out-think, out-plan, and out-execute human teams across most cognitive domains, the economic logic that underlies modern business changes fundamentally. But the deeper questions are about access and structure: Will AGI be concentrated in the hands of a few platforms, or will it become infrastructure that any company can build on? Will today's AI leaders maintain dominance, or does AGI create the conditions for a new generation of companies to dismantle legacy industries entirely? The history of transformative technology offers conflicting precedents — and this time the stakes are categorically higher.

What is human labor worth after AGI?

Every previous wave of automation — steam, electricity, computing — ultimately created more jobs than it destroyed. The optimist's case for AGI follows the same logic: new industries, new roles, new forms of human contribution we can't yet imagine. But that argument has a structural flaw this time. The new jobs created by past technologies required human skill to perform. AGI can do the new jobs too. If the system that displaces workers is also capable of filling whatever roles emerge to replace them, the historical precedent stops being reassuring and starts being irrelevant.

What does learning look like when AGI knows everything?

Education has always been preparation for a world that values human knowledge and skill. AGI fundamentally alters that premise. If the system that students are preparing to work alongside is vastly more knowledgeable than any teacher, what exactly are we preparing students for? The institutions that answer this well will define the next era of human development. Most haven't started asking.

Who controls AGI — and what if nobody does?

The control problem isn't a science fiction scenario — it's an active area of technical research at every major AI lab. The question of whether humans can maintain meaningful oversight of systems smarter than themselves is unresolved. What we do know: the window for getting the governance structures right is open now, and it won't stay open indefinitely.