Employment Opportunities for College Students under the New Economic Cycle: Formation Mechanism and Practical Paths

Authors

  • Zhaoying Wang Asia Australia Business College, Liaoning University, Liaoning, China

DOI:

https://doi.org/10.54097/0619ta37

Keywords:

New economic cycle, college students' employment, employment opportunities, technology iteration, educational adaptation.

Abstract

The new economic cycle, with digital economy, green economy and artificial intelligence as the core growth engine, is characterised by accelerated technological change, industrial structure restructuring and strong policy intervention, which has not only given rise to emerging occupations such as Artificial Intelligence (AI) trainers and green technology engineers, but also resulted in the co-existence of supply and demand of "job vacancies and skill surplus" due to lagging of the education system. Mismatch. The study reveals that the formation of employment opportunities is mainly driven by three aspects: technological iteration reshapes the job structure, promoting the "human-machine collaboration" model and the growth of demand for high-skilled jobs; industrial policies (such as "speciality, speciality and newness" and "rural revitalisation") guide the demand for talents. Industrial policies (e.g. "speciality, special innovation", "rural revitalisation") have guided the demand for talents to shift to high-end manufacturing and agricultural digitalisation; and the lack of education-industry synergy has become a key bottleneck restricting the quality of employment. The study provides a theoretical basis and practical inspiration for the career development of college students, the optimisation of talent cultivation mode in colleges and universities, as well as the formulation of governmental employment policies. In the future, people need to pay attention to the direction of technological ethics and micro-certification system, so as to achieve an accurate match between supply and demand of skills.

Downloads

Download data is not yet available.

References

[1] Brynjolfsson E. The Turing Trap: The Promise & Peril of Human-Like AI. NBER Working Paper, 2020, 12 (3): 1-25.

[2] Autor D H, Salomons A and Seamans R The labour market impacts of technological change: from unbridled enthusiasm to qualified optimism. Journal of Economic Perspectives, 2022, 36 (4): 3-30.

[3] Li Xuesong and Zhang Lei Artificial intelligence technology iteration and response lag in higher education. China Higher Education Research, 2022, (12): 78-85.

[4] Wang Zheng. Green skills gap and higher education response. Educational Research, 2022, 43 (8): 112-125.

[5] Fieldhouse A J, Munro D, Koch C and Howard S. The emergence of a uniform business cycle in the United States: Evidence from new claims - based unemployment data. Brookings Papers on Economic Activity, 2024.

[6] Jia Lumeng, Zhao Jiahuan. Transcendence and reversion: The historical evolution of human-computer collaboration and its dual logic. Journal of China University of Geosciences (Social Science Edition), 2025, 25 (04): 1-10.

[7] Zhou H et al. Talent Demand of Specialised and Special New Enterprises and Collaborative Cultivation Path of Universities. China Higher Education, 2022, (18): 30-35.

[8] Bai S B, Fan J W Theoretical Logic, Practical Necessity and Practical Progress of New Productivity Enabling Rural Revitalisation. Rural Economy, 2025, (03): 78-86.

[9] Ma Luting. Research on the docking mechanism between the construction of new engineering disciplines and the demand of industrial chain. Research on Higher Engineering Education, 2023, (3): 15-23.

[10] Wang Guangxu. Exploring the optimisation path of contemporary college students' career planning--A review of "Career Planning and Employment Practice Guidance for College Students". Chinese Journal of Education, 2023, (04): 117.

Downloads

Published

13-03-2026

Issue

Section

Articles

How to Cite

Wang, Z. (2026). Employment Opportunities for College Students under the New Economic Cycle: Formation Mechanism and Practical Paths. Journal of Innovation and Development, 14(3), 85-90. https://doi.org/10.54097/0619ta37