K-12 Can't Sleep Through AI

In 2018 I was the first chief scientist of AI at Google Cloud uh part of the the work we do is serving all vertical industries under the sun…From healthcare to financial services, from entertainment to manufacturing, from agriculture to energy….I realized this is a civilizational technology that’s going to impact every single human individual as well as sector of business and if humanity is going to go enter an AI era what is the guiding framework so that we not only innovate but we also bring benevolence through this powerful technology.
— Fei Fei Li

For decades, K–12 education has treated college as the finish line — the destination that proves school “worked.” But that assumption no longer holds. The traditional pipeline from school to college to career is fracturing, and artificial intelligence is the force tearing it apart.

The next five years will bring massive shifts in who attends college, what counts as learning, what we need to do to prepare students to thrive, and what they will need to do to (re)create the world. K–12 can’t afford to sleep through this moment.

1. The College Pathway Is Fracturing

For generations, the formula was simple: study hard, get into college, and you’ll secure a good job. That equation is collapsing.

Fewer students will attend college — not because they lack ambition, but because the value proposition has changed. Costs are climbing, families are anxious about debt, and the jobs waiting on the other side are increasingly shaped by technologies that evolve faster than university curricula. It’s already rendering a lot of curricula obsolete even though students are forced to pay to learn it.

Even the best universities don’t have enough capacity in the fields that actually prepare students for the AI world. Meanwhile, high school graduates are building their own AI-enabled projects and startups. Some will never apply to college at all. Others will enroll, discover a better idea halfway through, and drop out to pursue it.

The reality is that our students need to leave our schools with adult readiness. Students should graduate not as learners waiting to “grow up” in college, but as emerging adults prepared to encounter and take on some of the greatest challenges humanity has ever faced — from governing AI and rebuilding economies to preserving democracy and the planet itself. The future will not be defined and created by adults who are doubling-down on the past, it will be defined and created by those in their teens and twenties.

2. We Are Redefining Civilization

The rise of artificial intelligence isn’t just an economic event — it’s a civilizational one. Humanity is renegotiating what it means to work, to learn, and to live a meaningful life.

As the OpenAI team put it:

We expect to have systems that can do tasks that take a person days or weeks soon; we do not know how to think about systems that can do tasks that would take a person centuries.

In 2026, we expect AI to be capable of making very small discoveries. In 2028 and beyond, we are pretty confident we will have systems that can make more significant discoveries (though we could of course be wrong, this is what our research progress appears to indicate)….

In particular, we expect the future to provide new and hopefully better ways to live a fulfilling life, and for more people to experience such a life than do today. It is true that work will be different, the economic transition may be very difficult in some ways, and it is even possible that the fundamental socioeconomic contract will have to change. But in a world of widely-distributed abundance, people’s lives can be much better than they are today.

That’s the world we’re walking into — a world where abundance and automation reshape everything from purpose to progress.

Students deserve to understand this transformation, not just witness it. They should be participants, not passengers. Many of them may even have better answers than we do about how civilization should evolve.

They shouldn’t be forced to live in a world defined by adults who know (almost) nothing about AI and the civilizational changes it will bring. They shouldn’t be hamstrung by our ways of doing things, including our processes, our economic systems, our political systems, and our values. They shouldn’t be forced to start by importing the past into the future.

If education is humanity’s operating system, then AI is the patch that rewrites its core code. We must prepare the next generation not merely to adapt, but to author this new chapter of civilization.

3. Some Universities Are Finally Moving — Fast

While most K–12 districts an universities are still debating whether ChatGPT counts as cheating, parts of higher education is sprinting ahead.

As Adam Pacton recently noted, Ohio State University is hiring 100 new tenure-track faculty in AI across three categories:

• Foundational AI (core science and modeling)

• Applied AI (real-world translation)

• Responsible AI & Cybersecurity (guardrails and ethics)

Ohio State is also launching a university-wide AI Hub that spans fifteen colleges and aims for every student to graduate fluent in AI by 2029.

That’s not a pilot program. That’s an institutional moonshot.

At Northwestern University, a new AI minor for non–computer science majors is attracting huge interest. The path isn’t “non-technical” — it includes serious math and CS prerequisites — but it opens AI fluency to students across every discipline.

Across higher ed, three models are emerging:

1. Dedicated AI majors and minors

2. Standalone certificates and credentials

3. “AI across the curriculum” programs that touch every field

Different routes, same reality: showing up AI-ready will soon be table stakes for success in college.

4. A Lot of K–12 Is Still Asleep at the Wheel

If students arrive unprepared to engage with AI as learners, creators, and collaborators, they’ll miss the opportunities universities are racing to build. Worse, many will never even make it there.

K–12 education must become the on-ramp — the place where students learn to work with, question, and create with AI. That means more than “AI literacy weeks” or classroom ChatGPT experiments. It means rethinking how we teach inquiry, problem-solving, collaboration, and ethics from the ground up.

AI isn’t a gadget to add to lessons. It’s a mirror forcing us to ask what learning really means when machines can already do so much.

5. From Sleepwalking to System Building

Some school systems will see this clearly and act now — building cross-disciplinary AI programs, retraining teachers, and engage in instructional redesign.

Others will hit snooze. They’ll keep chasing test scores, banning tools, and preparing students for a world that no longer exists.

In five years, the divide between those systems will be impossible to ignore. One group will be producing students who co-create with AI — fluent in innovation, collaboration, and moral reasoning. The other will be producing students who merely consume AI outputs.

AI is not a new subject. It’s the new operating system of human learning.

If companies are building superintelligent machines, schools must build superintelligent humans — capable of curiosity, collaboration, and conscience.

That work starts now.