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

DOI

10.2991/978-94-6239-701-9_96How to use a DOI?

Keywords

enerative AI; Career Development; Higher Education Curriculum; Mathematical Modeling; Greedy Algorithm enerative AI; Career Development; Higher Education Curriculum; Mathematical Modeling; Greedy Algorithm G

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.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

TY  - CONF
AU  - Kezhen Pan
PY  - 2026
DA  - 2026/07/30
TI  - Gen-AI is Coming: The Future of Three Career Paths and University Education
BT  - Proceedings of the 2026 11th International Conference on Social Sciences and Economic Development (ICSSED 2026)
PB  - Atlantis Press
SP  - 940
EP  - 947
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6239-701-9_96
DO  - 10.2991/978-94-6239-701-9_96
ID  - Pan2026
ER  -