The Rich Are Buying AI Schools. Fluency Is Not for Sale.

Most Americans do not trust AI. Survey after survey shows the same hesitation, and the internet keeps a running highlight reel of models suggesting glue as a pizza topping. Yet some of the wealthiest families in the country made the opposite call. They are pulling their kids out of traditional schools and paying tens of thousands of dollars a year to enroll them in schools where AI does the teaching.1

The Verge reported this weekend on families choosing companies like Alpha School and Forge Prep, where AI tutors carry the academic load and human staff act as guides. A San Francisco venture capitalist told the Wall Street Journal he plans to send his own children. Forge Prep, a New Jersey startup, drew 600 applications for a few dozen seats in its first year and dangles a $200,000 investment for graduates who launch a company.1

Your first reaction is probably the same one I had: the people with the most information about AI are betting their own kids on it, while everyone else is told to be careful. That gap deserves a name and a closer look. I call the thinking behind it the Tuition Trap, and the trap catches families at every income level, not just the ones writing the checks.

What the Money Actually Buys

Strip away the marketing and the model is simpler than the price tag suggests. At Alpha School, students spend roughly two hours each morning on personalized AI academics in math, science, reading, and social studies. The rest of the day belongs to workshops on life skills: public speaking, coding, outdoor education, building things.2 Human adults are present, but as motivators and coaches rather than lecturers. Tuition at Alpha runs about $55,000 per child per year.2

A Northwestern University learning scientist looked at the model and hesitated to even call it an AI school. She described it as personalized, self directed learning with Montessori principles, and named the real problem in one sentence: the cost is prohibitive, so it will never be available to everybody.2

Read that again. The academic engine is an AI tutor plus a human guide plus student ownership of pace. The exclusive part is not the technology. The exclusive part is the invoice.

That distinction matters on its own. But the next piece changes how you should act on it entirely.

The Tuition Trap

The Tuition Trap is the belief that AI readiness is a product you purchase rather than a practice you build. Wealthy families fall into the premium version: pay enough and your child arrives in the AI economy prepared. Everyone else falls into the mirror version: since I cannot afford the product, my family is locked out of the preparation.

Both versions get the mechanism wrong. The research on how people actually become fluent with AI keeps pointing at practice, feedback, and judgment built through repeated use, not at enrollment. When CNN spent time inside Alpha campuses, it found parents who loved the personalized pacing and parents whose children buckled under AI set learning targets, with some families in Brownsville describing kids so stressed that the model itself came into question.3 The tuition bought access to the tool. It did not buy the judgment to know when the tool was helping and when it was grinding a child down. That judgment is the actual skill, and no school can invoice for it.

Now, you might be thinking: easy for you to say, but those kids still get a structural advantage. You are right that a divide is forming. You are wrong about where the line sits.

The Divide Nobody Prices In

Here is the number that reframes the whole story. Six in ten teachers already used an AI tool during the 2024 to 2025 school year, according to polling from the Walton Family Foundation and Gallup.3 The technology inside the $55,000 classroom is substantially the same technology sitting in a free browser tab in the public school down the road, and in your own home tonight.

So the divide that should worry you is not tuition. The divide is between people who use AI with intention, verification, and growing judgment, and people who either avoid it or lean on it passively. I wrote about the workplace version of this split when PwC’s data showed the job market separating into two tracks, and about the corporate version when Samsung handed AI to every employee and discovered that access alone changes almost nothing. The pattern holds in education. Handing a child an AI tutor produces the same range of outcomes as handing an adult a chatbot license: some thrive, some coast, some quietly get worse at thinking.

The wealthy families in the Verge story understand half of this. They see that the AI economy rewards early, structured exposure. What the Tuition Trap hides from them is that exposure without a framework for judgment turns children into what the article bluntly calls beta testers.1 Beta testing on your own kids is a strange luxury good.

Build the Same Advantage Without the Invoice

Decompose what these schools actually sell and you get three ingredients: personalized pacing, daily hands on practice with AI, and a human guide who keeps judgment in the loop. Every one of those ingredients is reproducible in a classroom, a workplace, or a kitchen table, and the SeedStacking method gives you the sequence.

Seed: Pick one real task this week, yours or your student’s, and run it through an AI tool with a specific goal. Not browsing. A task with a finish line.

Sprout: Verify the output against a source you trust. This single habit is what separates fluency from dependence, and it is the exact habit the stressed Alpha families found missing when AI set targets went unquestioned. I dug into the mechanics of this in the AI Dependency Paradox.

Grow: Add structure. Give the learner ownership of pace, the way Alpha does, but pair it with a weekly review where a human asks what the AI got wrong. The guide role those schools charge for is a role you can play after one honest month of practice.

Harvest: Ship something. A lesson plan, a project, a small business idea if you want the Forge Prep energy without the Forge Prep waitlist. Fluency compounds when practice produces artifacts.

When you run that cycle for a season, you have built the pedagogical core of a $55,000 school for the cost of attention. The families in the Verge story are not wrong that preparation matters. They are overpaying for it, and the overpayment sends a false signal to everyone else that preparation is out of reach.