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The Conversation AI
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Why AI training can backfire for older workers

The article argues that employer investments in AI training may backfire for workers over 55, as poorly timed or overly complex training can become an additional job demand, worsening burnout and pushing them to leave. The author's doctoral research highlights that retaining experienced older workers is increasingly important as the workforce ages, and training must be designed to support rather than burden them.

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Why AI Training Can Backfire: A Warning for Older Workers

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As companies ramp up AI training investments, a study suggests that for employees over 55, the timing and method of training may matter more than the training itself—and poorly designed training can accelerate their early retirement.

  • 36% of Canadian workers used generative AI in the past year, 83% say they need to upskill, and 78% of businesses plan to maintain or increase training spending.
  • Workers over 55 now make up 18.8% of the workforce, up from 9.3% in 2001, and their numbers have grown 184% since 2000.
  • Doctoral research finds that training that is poorly timed, overly complex, or lacking support becomes an extra job demand, worsening burnout and reducing perceived work ability, thus pushing early retirement.
Open section navigationBackground: The AI Training Boom and the Plight of Older Workers

Background: The AI Training Boom and the Plight of Older Workers

According to Statistics Canada, in March of this year, 36% of Canadian workers reported using generative AI tools in their main job or business over the past year; about half said they were familiar with how to use them, while 93% were aware of generative AI. Meanwhile, a recent survey shows that 83% of Canadian workers want or need to upskill to use generative AI effectively.

Employers seem to be responding. A survey by the Canadian Federation of Independent Business found that 78% of Canadian businesses plan to maintain or increase training spending by 2026. However, for workers over 55, this approach may not work. The author's doctoral thesis suggests that for experienced employees who are already burned out, more digital training is not always the answer.

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Credibility boundary

This article is based on the author's doctoral research, including a systematic review and survey data, but research details (such as sample representativeness) are not fully disclosed. The statistics cited come from Statistics Canada, the Canadian Federation of Independent Business, and TD Bank, all of which are source claims and have not been independently verified.

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  1. Why AI training can backfire for older workersThe Conversation AI

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The Conversation AI

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