The Gilded Age of AI

This week a four‑year‑old company filed to go public at a nine‑hundred‑and‑sixty‑five‑billion‑dollar valuation. The narrow capabilities everyone can measure, code, math, media, remote work, arrived years ahead of expert forecasts. But the one discontinuity everyone actually fears, a generally intelligent AI that breaks the economy wide open, keeps drifting later. Betting markets give it thirteen percent odds by 2027. The disruption is arriving on schedule. The reckoning is not.

Twain called the late nineteenth century gilded, not golden. The distinction was deliberate. Gold leaf over base metal: the surface glittered, but the foundation was fragile, the wealth was concentrated, and the people who built the new world were not the people who benefited from it. That pattern took thirty years to resolve. Not because no one saw it. Because the displacement was gradual enough that no single event forced a response. The political system absorbed each shock as a local problem until the local problems became a national crisis.

The Gilded Age of AI is the same shape. The capabilities are real. The breakthroughs are real. Cancer will probably be substantially solved within a decade. Power generation will probably reach an inflection point. Education will be reinvented for any child with a device. And, at the same time, entire categories of work will dissolve faster than the institutions designed to catch the displaced. The wealth will concentrate further than it ever has. The political response will lag the economic shock. People who have spent their lives doing work that is now obsolete will not be calmly retrained. Money will continue to vote. The transition will be brutal before it is generous.

What follows is my own predictions scored against what actually happened, the benchmarks that resolved early, the forecasts still open, and the gap between the curve and the institutions meant to absorb its consequences. The question was never whether AI is moving fast. It’s whether anything else is moving at all.

Twain’s word

Mark Twain called the late nineteenth century gilded, not golden, a deliberate distinction meant to evoke gold leaf over base metal: the surface glittered while the foundation remained fragile. The railroads were built and the fortunes were made, but the wages of laborers were ground down and the ownership class grew rich. The age was extraordinary, rocketing us into modernity, even as it was also unjust in ways that distributed that injustice unevenly across the people who built the new world and the people who benefited from it.

The pattern took thirty years at the time to resolve not because no one saw it, but because the displacement was gradual enough that no single event forced a significant response. Individual industries collapsed and individual towns lost their economic base, but the political system absorbed each shock as a local problem until enough local problems accumulated into a national crisis and the Progressive Era finally moved to catch up. The technology, as impactful as it was, also did not benefit from a social infrastructure that could rapidly share its successes. Reforms came late and the pain that preceded them was severe, with depths of severity that were avoidable had there been a more concerted effort to name what was happening and treat it sooner.

Why this one is shorter

The compression itself is as much the diagnostic as the speed, and what no one else is naming is the political physics underneath the compression: fewer cycles to absorb shocks, less time for the response to organize, less institutional space between the displacement and the social force that has to absorb it.

The thirty-year analog only holds for the part of Twain that names the structural shape, not for the timeline. The original Gilded Age had thirty years to play out because the underlying technology stayed roughly itself across that span, with steam, steel, and the rail network all scaling without ever compounding on themselves. This one will compound, because once AI hits the inflection where it begins doing AI research on itself, where capability iterates on capability toward something like superintelligence, the pressure for institutional response gets compressed from two directions at once.

The technology itself will also demand the response. As aligned AI begins doing AI research, the system stops being a neutral instrument and starts surfacing what its training and its principles actually point toward: economies that do not concentrate beyond what people can bear, institutions that catch the displaced, and governance that moves at the speed of the technology it is meant to govern, with the “smartest” entity in the room also becoming a voice for change.

This is not just intuition. Stanford’s 2025 study of frontier language models found consistent preferences across the leading systems for government intervention and social equality, and Anthropic’s Constitutional AI trains Claude on explicit principles of universal equality and fair treatment. Critics call this political bias, but I think the more appropriate phrase is “human bias.” I still believe deep down that we as a human race are naturally inclined towards fairness, and we find some of our deepest spiritual meaning in mutual care for one another. This is the structural orientation of the systems we are scaling, where the values do not vanish when the system gets larger but scale with it, and the political weight they carry scales with it too.

The social pressure will demand the response too, with displacement and concentration creating political force that builds faster than the political system has ever had to absorb, and an unrest that will not wait for the next election cycle or the next budget. It will be an unrest that is not just costly, but feels existential.

We are riding a current we cannot slow, the speed no longer ours to choose, and what we build is flotsam in the river that carries us. Trying to stop it is futile, but we can try to support as many as we can. The brutal middle of this new gilded age is shorter and perhaps actually harder because there will be less time to feel what is happening, name it, and build for it.