Why AI training can backfire for older workers

Employers are increasingly investing in training to prepare employees for artificial intelligence (AI), with 36% of Canadian workers using generative AI tools in March. However, for workers over 55, this approach may backfire. My research suggests that for experienced employees who are already burnt out, more digital training can be an additional job demand, eroding their sense of competence and pushing them closer to leaving their jobs.

Canada's workforce is aging, with the share of workers aged 55 and older nearly doubling between 2001 and 2022. As labor shortages persist, retaining experienced workers is crucial. In my studies, I found that burnout weakens workers' sense of work ability, pushing retirement intentions earlier. Technological training moderated this relationship, highlighting the importance of how and when training is delivered.

When training adds to employees' demands rather than reducing them, it may contribute to burnout, undermining the very training employers are counting on. Employers should consider pacing when rolling out training, spreading instruction over time, breaking complex material into smaller pieces, and easing surrounding pressures to help employees absorb new information.