1. The Elite Rush to "Short" Traditional Education

Wealthy families in both China and the United States are beginning to pull children away from traditional elite-school paths. In Beijing, TanQuest School charges roughly 200,000 RMB a year while breaking away from the standard curriculum and emphasizing project management and real product development. In New Jersey, affluent families are sending children to new schools such as Forge Prep.

The slogans are intentionally provocative: "Built for 2040, not 1940." In these schools, children are not simply sitting in rows listening to lectures. They solve real problems by starting companies, designing products, learning negotiation, and practicing sales.

The anxiety created by AI is real. In the past, wealthy parents hired consultants to help their children get into famous universities. Now they hire consultants to help graduates from famous universities find work. Planning has moved from college admissions down into K-12 education.

2. Bubbles, Imitation, and Industry Signals

What is confusing is that many of these new schools have no proven educational metrics or scientific evidence, yet families are fighting for limited seats. One school reportedly saw 600 families compete for 34 spots. Rene Girard's theory of mimetic desire offers a blunt explanation: the less anyone knows the answer, such as what will be valuable in 2040, the more people imitate.

Wealthy families are not necessarily buying because the school is good. They are buying because other smart families are also buying. Exiting the old system has itself become a new form of conspicuous consumption.

Still, although these schools place different bets on AI, they point to the same premise: the old timetable is finished. In investing, when different people use different instruments to short the same asset, that is not merely a bubble. It can be a strong signal from insiders.

3. From the Old Classroom to the Panopticon

Behind this new elite education is a slightly unsettling commonality. Alpha School, for example, uses AI platforms to record the actions of children as young as five, including how often they lose focus, then uses the data to calculate the next week's schedule. At a deeper level, this logic resembles classrooms that use cameras and analytics software to monitor students.

Parents on both sides of the Pacific may argue about curriculum, but they share the same operating system: childhood becomes a resource to be optimized. American elites optimize agency and initiative. Chinese parents optimize scores. Even "zoning out" becomes a measurable defect to be corrected.

The word "school" comes from a Greek word associated with leisure. Two thousand years later, school has become the place where childhood has the least leisure. Even wealthy families have not escaped the basic trade of our era: being fully recorded in exchange for personalized service.

4. Class Lock-In and the Repricing of Privilege

In 1984, educational psychologist Benjamin Bloom described the "two-sigma problem": one-on-one tutoring can produce outstanding learning results, but society cannot afford to provide it for everyone. AI is the first technology that truly touches the holy grail of cheaply replicating private tutors. Yet its first landing place is still a $75,000-a-year elite-school bill.

Sociologist Pierre Bourdieu observed that whenever one form of capital becomes widespread, social distinction moves to a harder-to-replicate form of capital. Today, knowledge itself is being devalued by AI. It is cheap, even free. But the education race has not ended; it has moved to a new track.

In the past, families competed over who could buy the best tutors, best school districts, and best knowledge-distribution channels. Now they compete over who can exit the old track first. And exit is precisely the most expensive move.