Research on Impact and Countermeasures of Artificial Intelligence on Typical Posts of Power Supply Enterprises

DOI

10.2991/978-94-6239-774-3_27How to use a DOI?

Keywords

Artificial Intelligence; Power Supply Enterprise; Post Impact

Abstract

Driven by new power system construction and digital upgrade, AI reshapes post setup of power supply enterprises^[1,2]. Based on technology disruption and human-machine collaboration theories^[3,4], this paper builds a four-dimension (technology maturity, business adaptability, safety constraint, organizational adaptation) evaluation framework. Using the AHP weighting and scoring formula, eight core posts across production, dispatching, customer service and administration are quantified for short-term (1-3 years) and long-term (5-10 years). Results show marketing & management posts face prominent substitution and restructuring^[5]; transmission/substation posts feature short-term empowerment and long-term reconstruction^[4]; dispatching and distribution maintenance are restricted by safety thresholds with merely auxiliary AI functions^[3]. All quantitative indicators are derived from official reports with traceable calculations. The safety constraint dimension measures mandatory control restriction intensity rather than safety risk level, and a substitution coefficient λ = 1/(1+e^{S-5}) is introduced to decouple score contribution from inhibitory effect. Targeted phased suggestions are proposed for HR 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.

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TY  - CONF
AU  - Weixuan Meng
AU  - Yang Yang
AU  - Dichao Ying
AU  - Xuesong Wang
AU  - Jiaxu Cheng
PY  - 2026
DA  - 2026/09/11
TI  - Research on Impact and Countermeasures of Artificial Intelligence on Typical Posts of Power Supply Enterprises
BT  - Proceedings of the 2026 5th International Conference on Mathematical Statistics and Economic Analysis (MSEA 2026
PB  - Atlantis Press
SP  - 304
EP  - 310
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6239-774-3_27
DO  - 10.2991/978-94-6239-774-3_27
ID  - Meng2026
ER  -