Analysis of the Impact of Artificial Intelligence on Middle-Aged Workers' Employment Willingness: Based on the Context of Delayed Retirement

The rapid development of AI and China’s delayed retirement policy have significantly challenged middle-aged workers’ employment willingness. This study utilized a cross-sectional survey of 889 pre-retirement individuals in Beijing, Guangzhou, and Lanzhou, using multivariate regression analysis to examine key influencing factors. Results indicate that employment willingness is significantly higher among males and highly educated individuals, while widespread AI adoption in eastern and northern regions increases pressure on low-educated groups. Notably, household economic pressure correlates negatively with work intentions. The study concludes that AI's impact varies across demographics, necessitating targeted vocational training and social support to help middle-aged workers adapt to the modern job market.