Editorial summary. This is our text summary of an article published by gnews-talent-management. Charts, figures, and the author’s full voice are at the original — read it there .
Editorial verdict
Opinion-driven, practitioner-sourced commentary with one cited statistic from a proprietary report — the ROI and spending figures are plausible but lack independent verification; treat the framing as directionally useful, not empirically robust.
Executive summary
This article addresses the gap between organizational investment in talent development and the strategic value that structured learning programs can deliver, with a particular focus on Canadian employers. Drawing on commentary from talent strategist Tamara ElSahyouni and Alan Kearns, managing partner and founder of CareerJoy, the article argues that training is systematically undervalued as a business lever in Canada relative to US and European benchmarks. Key evidence includes Kearns' citation of his organization's Work Made Better Report 2025, which claims companies using data-driven learning development are 46 per cent more likely to be rated high-performing, and a reported average training spend of $889 per employee in Canada. A 2025 KPMG study and a 2024 Future Skills Centre study are cited to illustrate a significant AI training gap among Canadian workers. The article concludes that HR leaders must reposition talent development as a strategic function — grounded in skills mapping, leadership development, and quantifiable productivity metrics — rather than a discretionary benefit, with AI governance treated as a prerequisite to AI upskilling.
Key insights
- 1Canadian employers invest approximately $889 per employee annually in training, with roughly two-thirds spending less than $500 per employee — significantly below US and European benchmarks according to CareerJoy's Work Made Better Report 2025.
- 2A 2024 Future Skills Centre study found that 44 per cent of employed Canadians using AI tools at work had received no formal training, indicating a structural mismatch between AI adoption and workforce readiness.
- 3ElSahyouni argues that organizational AI governance frameworks must precede employee AI upskilling, warning that absent governance, staff will independently use AI tools in ways that may create data risk.
Practical takeaways
- Skills mapping at the organizational level can serve as a diagnostic tool for identifying where training investment will have the highest impact on performance and risk mitigation, before committing significant budget.
- Translating behavioral and engagement metrics into productivity and financial numbers is described by ElSahyouni as a mechanism for HR leaders to build the business case for training investment with senior leadership.
References
- CareerJoy (2025).Work Made Better Report 2025.
- KPMG (2025).KPMG AI Study.
- Future Skills Centre (2024).AI Training Gap Study.
Source & Provenance
gnews-talent-management
Not specified
April 20, 2026
Opinion/Commentary
Multi-Region
Original source metadata is preserved. AI analysis is generated separately.
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