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The buzz is building: 2026 could be the year we see the first truly AI-native university. How do GPUs fit into this educational revolution?

Ultimately, education aims to equip people with the skills they need to thrive in the job market.

There are two main approaches. Some schools analyze upcoming retirements in key sectors like healthcare, transportation, and education, adjusting admissions to meet projected demand.

But that's only part of the picture. We're used to a long-term real GDP growth rate of around 3.6%. At that pace, the economy doubles in size every 20 years – half the career span of today's graduates. This means a huge chunk of future consumption and jobs don't even exist yet, a real challenge for both educators and students.

To complicate things further, economic growth often disrupts existing jobs, replacing them with new ones. If universities focus solely on current job openings, they risk preparing students for roles that will soon be obsolete. AI, for example, can now generate curriculum, shifting the focus for writers and authors to verification and oversight. Truck drivers may be replaced by remote operators managing disruptions. Factory workers could evolve into engineers analyzing critical failures.

Looking ahead 20 years, the economy might look like this: a third of the jobs will be those we know today. We'll likely still need doctors, professors, and other essential professionals. These roles often have longer tenures, allowing skills to be codified and learned through AI, ready to be picked up as incumbents retire.

Another third of the jobs will come from growth and innovation. Some existing jobs will be upgraded. Accountants might spend less time crunching numbers and more time mentoring entrepreneurs. Diversification of more companies reduces risk, making funding more accessible. Growth-oriented jobs will build new infrastructure and improve living standards, often leveraging technologies like AI and search engines.

Finally, a third of the jobs will be entirely new. AI-powered education will be crucial, providing personalized feedback and on-the-fly training. Historically, these jobs often emerge from communities working collaboratively. Data-driven financing could help connect these isolated circles back into the broader economy.