As AI creates more entrepreneurs and a skills mismatch, Gen Z faces the choice of being a specialist or a ‘general-purpose nerd’

Summary

Depending on your point of view, young people today trying to choose an employment path either have immense opportunity or a bleak future. Lightcast, a labor market data company, predicted in 2024 that U.S. employers will suffer “the largest labor shortage the country has ever seen” amid a demographic drought. Georgetown University’s Center on Education and the Workforce estimated last year that the U.S. economy will need 5.25 million more workers with education and training beyond high school, warning that 171 occupations will face skills shortages through 2032 without massive increases in education. Meanwhile, the proliferation of AI is making it easier to start a business with few workers—or even just one “solopreneur.” Economist and market veteran Ed Yardeni pointed to a recent surge in openings for professional and business services positions, saying they reflect the need for specialized talent required for AI adoption. But despite the surge in job openings, actual hiring was muted. “That could be because the job openings AI creates are highly specialized, so talent is in short supply,” Yardeni explained, adding that it could also be the reason for higher long-term unemployment. He noted the rise in tech job postings that require explicit AI fluency . Some of the fastest-growing skills are in areas like agentic AI, responsible AI and AI infrastructure, according to tech workplace platform Dice. “AI is creating a structural skills mismatch as companies aggressively replace generalists with specialized talent,” Yardeni said. “We believe in the Jevons Paradox: As AI makes tasks more efficient, the falling cost of using that capability ultimately drives up total demand for it, making AI a net creator of jobs over time.” Meanwhile, economist Simon Johnson, a Nobel laureate and MIT professor, has a different take. In an interview with the Financial Times in June, he used his daughters as examples of the two career paths young people face. One daughter is interested in lab science, or the kind of high-value job that requires human judgement and is unlikely to be replaced by AI. On Monday and Tuesday, they can interview real people face to face and learn things.