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Silicon Republic
How might workplace AI negatively impact older employees?
Judah Adeniyi's research reveals that the rapid adoption of AI in workplaces may adversely affect older employees, particularly those over the age of 55. As companies invest in training, many older workers express feeling overwhelmed, contributing to burnout and a greater likelihood of early retirement. Effective upskilling approaches must consider the existing workload and mental resources of these employees to foster retention rather than push them away. The findings suggest that poorly timed or complex training exacerbates challenges, highlighting the need for tailored support in an aging workforce.
MonitorConfidence: HighShort term horizon
Published 18 Aug 2026, 15:55 UTC5 min read
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Summary
TL;DR
- 36% of Canadian workers used generative AI tools in the past year.
- 83% of workers seek training to effectively use generative AI.
- 78% of businesses plan to maintain or increase training budgets by 2026.
- The share of workers aged 55 and older nearly doubled from 2001 to 2022.
- Burnout among older employees can lead to earlier retirement intentions.
Interesting facts
- The number of mature workers in Canada has grown by 184% since 2000.
- Poorly designed training can lead to increased employee burnout and turnover.