Gen-AI is Coming: The Future of Three Career Paths and University Education

Kezhen Pan ()
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Kezhen Pan: Xidian University, School of Space Science and Technology

A chapter in Proceedings of the 2026 11th International Conference on Social Sciences and Economic Development (ICSSED 2026), 2026, pp 940-947 from Springer

Abstract: Abstract Generative Artificial Intelligence (Gen-AI) reshapes occupational prospects and higher education. This study selects software engineers, chefs and painters as typical occupations, constructing a nonlinear regression model with Ridge Regression and Logit Transformation to predict their 2027–2030 trends via 2014–2025 U.S. BLS and Levels.fyi data. A value-creation model with Greedy Algorithm identifies Gen-AI era core skills, providing targeted curriculum reform for three universities. Human well-being factors are added to form a scalable AI-adaptive training framework, offering data-driven references for occupational planning and higher education optimization.

Keywords: enerative AI; Career Development; Higher Education Curriculum; Mathematical Modeling; Greedy Algorithm enerative AI; Career Development; Higher Education Curriculum; Mathematical Modeling; Greedy Algorithm G (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6239-701-9_96

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DOI: 10.2991/978-94-6239-701-9_96

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