Khan Academy's $10,000 Degree That Could Reshape Higher Education

I study Computer Science and Education at the University of Illinois Urbana-Champaign, concentrated in Learning Sciences and Learning Technology. This is a very unique major that focuses on how people learn with technology and how emerging technology can be designed to improve student learning

This major has helped me understand why the how of learning matters, not just the what. I've always believed in building systems that make quality education accessible to everyone, not just those who can afford a seat in the right classroom.

Sal Khan has spent two decades building toward that same belief. As the founder of Khan Academy, the free online learning platform used by over 150 million people worldwide, accessible education is his life's work

And recently, at the TED 2026 conference in Vancouver, he announced his most ambitious answer yet

Sal Khan, founder of Khan Academy (the free online learning platform used by over 150 million people worldwide), has been asking that same question for two decades. And in April 2026, at the TED 2026 conference in Vancouver, he announced his most ambitious answer yet.

a bachelor's degree in Applied AI for under $10,000. Total. Not per year. Total

Harvard charges $62,226 per year.¹. Stanford charges $67,731.¹. Sal Khan's number is the entire degree

But the price isn't the full story

What Khan TED Institute Actually Is

Khan TED Institute is a joint venture between Khan Academy, TED, and ETS (Educational Testing Service). It will offer a bachelor's degree in Applied AI that is fully online, competency-based, and built with direct input from some of the biggest tech and consulting employers in the world²: Google, Microsoft, Accenture, Bain, McKinsey, and Replit.². These aren't just honorary advisors. They are working towards co-designing the curriculum that will significantly shape what the degree actually teaches.

The curriculum spans mathematics, statistics, economics, computer science, history, and writing, all alongside applied AI work: building AI apps, developing agents, and running team-based simulations.³

The goal is a degree that looks like a job, not a classroom

The format is built around asynchronous coursework, group projects across time zones, and live "dialogue sessions" with peer feedback. Occasional access to TED speakers. No lecture halls. No commute.

Students advance by demonstrating mastery: the same philosophy baked into Khan Academy's free platform, where a student doesn't move into the next topic in the degree plan until they've proven they understand the current one. On Khan Academy, that means hitting a consistent accuracy threshold on exercises before the system unlocks what's next. No shortcuts, no moving forward because the semester ended.
The degree applies the same logic at a higher level: you don't earn credit by sitting through a module. Instead, you earn it by showing you can use what it taught. The transcript that comes out the other side reflects skills demonstrated, not credit hours logged.³

Applications are expected to open within 12 to 18 months, with a 2027 target launch.⁴ The program currently has not yet secured accreditation. It is currently pursuing approval from bodies like the Higher Learning Commission or the Western Association of Schools and Colleges

Why the Traditional Model Is Cracking

Khan didn't invent this pressure. He's responding to it

51% of Gen Z graduates say they regret their degree choice.¹ 42.5 million Americans carry federal student loan debt, with an average balance of $39,000.¹ Among recent college graduates, 5.6% are unemployed, which is way above the national average, and 42.5% are underemployed (working jobs that don't require the degree they went into debt to earn)¹

These aren't recession numbers. They're structural. The traditional model was built for a labor market that assumed a degree was a reliable ticket to employment. That assumption is fraying, and its becoming less reliable as AI slowly emerges into the industry

The traditional college degree was designed for a different era: one where four years of seat time, a fixed curriculum, and an institutional stamp were sufficient signals of competence. AI is compressing the skills at the rate of half-life of every profession. The traditional university model just can't keep up

Meanwhile, mid-career professionals who need to reskill for an AI-transformed job market can't take four years off. Additionally, the on-campus, 18-year-old model excludes the majority of people who need education the most right now

Sal Khan said it plainly: "Higher education has served many people very well, but not everyone has access."¹ The data suggests even those who got access aren't satisfied with what they got

What Khan's Model Actually Changes

Three things are genuinely different here, and they compound

First: competency over seat time. Traditional degrees measure credit hours: time spent in a chair. Khan and TED's degree program advances students when they can demonstrate mastery, not when they've waited long enough. This traces directly to Benjamin Bloom's mastery learning research in the 1960s, which showed that when students receive adequate time and targeted feedback, nearly all can reach high mastery. Credit hours were invented for scheduling, not for measuring learning. Khan is building at scale what researchers have argued for decades.³

Second: who co-signs the credential. A Harvard degree signals "Harvard trusted this person." A Khan TED degree signals "Google and McKinsey helped design what this person learned, and this person can demonstrate it." That is a different trust chain entirely. Historically, institutional prestige has been the proxy for employer trust. But now, Khan is proposing a change that short-circuits this: to make the employer relationship direct instead of mediated by a university brand.

Third: who college is for. The online, asynchronous, flexible format isn't a compromise: it's a design choice. It chooses to target those who can't pause their lives: working adults, international students, mid-career professionals. Khan has mentioned the possibility of geo-based pricing and aggressive financial aid to extend access even further.² That isn't just a niche demographic. That is the majority of people who need access to higher education and currently can't reach it.

What the Future Looks Like If This Works

If Khan TED works, it doesn't just add one more option to higher education. It triggers a sequence of shifts that puts pressure on every institution that hasn't rethought its model. But each step depends on the one before it.

If it secures accreditation, it opens up FAFSA eligibility (federal financial aid) and the ability for employers to list it as a satisfying "degree required" on job postings. Those two unlocks are the difference between a well-branded alternative and a mainstream credential that changes how people make decisions about college

If the corporate partners, Google, Microsoft, McKinsey, actually hire graduates at scale, the signal value compounds. Other universities then have to face a hard question, regarding what exactly are they charging $200,000+ to provide

The schools most at risk aren't the ones at the top or the bottom. Harvard, Stanford, and strong public research universities like UIUC survive because their value proposition is real if students expose themselves to those opportunities: deep employer relationships, ranked programs, and networks that hold up in today's job market

However, the schools that will be the most exposed are the ones charging $40,000 to $60,000 a year that can't point to any of those highly established perks. Private institutions where the degree's value rests entirely on convention rather than outcomes. Instead, a credible $10,000 alternative with Google and McKinsey co-signing the curriculum is a direct challenge to that argument.

In the longer term, the model points toward a different architecture for education entirely: employer-aligned curricula become standard, competency-based transcripts replace GPA, and stackable credentials let people build qualifications across a career rather than all at once at eighteen. The idea that you get one degree and it carries you for forty years is slowly dissolving

If this model works, it doesn't just create a cheaper college. It establishes that the authority to credential someone doesn't have to reside in a university: it can reside in the demonstrated trust of the people doing the hiring

What I'm Watching

I chose to study CS and Education at UIUC because I believe the two fields have always been more connected than academia admits: that how you build learning systems and how people actually learn are the same question asked from different directions. Khan TED Institute is the most visible bet anyone has made on that idea at scale.

The pedagogical model is defensible. Mastery-based learning works. Employer-aligned curriculum is more honest about what it's preparing people for than gen-ed requirements designed for a different century. Asynchronous formats with structured collaboration are backed by decades of research.

The politics: accreditation, employer adoption, and cultural legitimacy are the gamble.

But here's what I keep coming back to: every year, someone asks me why I didn't just do CS. The subtext is always the same: education isn't a real field, it's a soft add-on. Khan and TED's $10,000 AI degree argues that the opposite is true. That understanding how people learn and building systems that respect that is exactly the lever that makes technical education worth anything at all

Khan isn't disrupting higher education by cutting the price. He's refuting the idea that a university's stamp is what makes knowledge legitimate. If he's right, the most important question in education for the next decade won't be where you learned. It'll be what you can do.