🚗 The Man Who Told Almost the Same Story, and Sent His Kids to College Anyway
Here's where this story gets genuinely interesting, and it's not really about Gawdat at all. In a conversation with investor and podcaster Nikhil Kamath, Elon Musk laid out a prediction that sounds remarkably similar in scale, "AI and robotics is a supersonic tsunami. This is really going to be the most radical change that we've ever seen," Musk said, forecasting that in less than 20 years, "working will be optional."
Musk even said his own children, several of whom he described as technologically adept, agree that AI will probably make their skills unnecessary in the future. And yet, despite that shared conviction about AI's disruptive scale, Musk said his kids still want to go to college, and he's fine with that, valuing it for social growth and the kind of broad learning he says they can't get anywhere else.
"They agree that AI will probably make their skills unnecessary in the future, but they still want to go to college."
— Elon Musk, in conversation with Nikhil Kamath
That's a genuinely revealing contrast. Two tech leaders, both convinced AI will radically reshape the value of traditional skills and credentials, arrive at very different conclusions about what to actually do with their own children's education right now, in the present, not in some hypothetical 10-year window.
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Musk values college for social growth and broad learning, even while predicting AI will make most job skills unnecessary.
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🏛️ Colleges Are Feeling the Pressure Either Way
Whether or not college literally disappears in a decade, the pressure Gawdat is describing is already real and already reshaping how higher education has to think about itself. Generative AI has put genuine pressure on institutions to revisit and re-articulate their value proposition, what exactly does a degree offer that AI tutors and online resources don't, and dwindling enrollment paired with growing skepticism about college's return on investment has made that question harder to dodge.
Where the Debate Actually Sits
| ⚠️ Sam Altman has said ChatGPT could be groundbreaking for education, a tool argument, not necessarily a replacement argument |
| ⚠️ Gawdat has separately framed AI as a chance to "save a broken educational system," not just replace it wholesale |
| ⚠️ The upskilling market broadly is getting more crowded, with AI tutors and alternative credentials competing directly with traditional degrees |
Gawdat's own broader writing on education, outside this specific podcast clip, frames the goal less as eliminating college outright and more as a "seismic shift," transforming institutions from places that groom students narrowly for careers into spaces that nurture passion, purpose, adaptability, and an "abundance mindset" suited to a world being reshaped by economic, climate, and technological change all at once.
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⚖️ A Bold Prediction Worth Testing, Not Just Repeating
It's worth being honest about what this prediction actually is, a strongly stated personal forecast from someone with real technical credibility, not a peer-reviewed study or an industry consensus. Predictions this specific and this confident, "10 years," "100%," deserve real scrutiny regardless of who's making them.
Musk's own hedge is instructive here, he holds a similarly dramatic view of AI's disruptive power over skills and labor, yet still sees clear, durable value in the social and broad-learning dimensions of college that AI hasn't replicated and, per his own framing, might not replicate at all. That's not a contradiction so much as a reminder that "AI will devalue job-specific skills" and "college has no remaining value" are two genuinely different claims, even when they get discussed in the same breath.
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Social growth and collaborative learning are exactly the parts of college that resist easy AI replacement.
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🧠 AI Spotlight Analysis
The most useful way to read this story isn't as a verdict on whether college survives the next decade, it's as a genuinely revealing case study in how even confident tech leaders behave differently than their own predictions suggest. Gawdat says stop saving for tuition entirely. Musk, forecasting comparably radical disruption, is still funding his kids' college experience specifically for what it offers beyond job skills.
That gap between forecast and behavior is worth taking seriously as its own data point. When people who genuinely believe AI will be transformative still hedge their own bets differently in practice, that's a sign the real uncertainty here isn't about whether AI changes education, everyone quoted in this story agrees it will, it's about how much of what college actually provides, community, mentorship, structured growth, credentialing, survives that change intact.
💬 Quote of the Week
"Absolutely not. There's not going to be college at all in 10 years already. 100%."
— Mo Gawdat, former Chief Business Officer, Google X
Gawdat's four recommendations, AI fluency, adaptability, ethics, and skepticism, are genuinely solid advice regardless of whether his specific 10-year timeline plays out exactly as stated. That's probably the most durable takeaway here, useful even if the headline prediction turns out to be wrong.
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💡 Final Thoughts
Bold, specific predictions like Gawdat's are genuinely useful for forcing a conversation, they're much harder to ignore than a vague "AI will change everything" statement. But the honest response to "100%, no college in 10 years" isn't to simply believe or dismiss it, it's to ask what parts of that prediction are actually testable now, and watch what the people making similar predictions actually choose to do with their own money and their own kids.
Right now, even among executives who agree AI is going to be enormously disruptive, the actions don't fully match the rhetoric. That gap is worth remembering the next time a confident 10-year forecast crosses your feed, especially one framed as a certainty rather than a genuine possibility worth preparing for.
Would you stop saving for your kids' college education based on a prediction like this? Hit reply, we read every response.
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🔗 Sources and Further Reading
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