Key Takeaways
- 40% of the U.S. utility workforce is at or near retirement eligibility by 2030, increasing urgency for reskilling and hiring (industry workforce analysis).
- 35% of jobs in the U.S. utility/electricity subsector are at high risk of automation impacts over the coming decade (2019–2020 task automation risk estimates).
- 58% of utilities reported difficulty finding skilled workers for open positions (utilities workforce survey).
- 63% of organizations say they are actively investing in reskilling/upskilling to address talent gaps (global survey, 2024).
- 2.5x higher learning effectiveness is associated with blended learning (online + instructor-led) versus traditional classroom-only training (meta-analysis of learning methods).
- 25% of utility workers use virtual reality (VR) or augmented reality (AR) pilots for training programs (utilities training technology survey).
- 22% improvement in productivity is linked to effective workplace learning and development initiatives (meta-analysis of workplace training ROI).
- 4.2% average annual reduction in safety incident rates is associated with enhanced training for frontline operations (EHS training effectiveness study).
- 1.8x higher cross-functional collaboration is observed in companies that deploy internal talent marketplaces for skills matching (internal mobility study).
- The learning experience platform (LXP) market is projected to reach $6.4 billion by 2030 (2024 market forecast).
- By 2027, 70% of workers will require reskilling due to technological change (World Economic Forum workforce projection).
- By 2030, 4 out of 5 jobs will require some form of skill upgrade due to technology and globalization (OECD skills outlook).
- A 10% increase in training hours per employee is associated with improved labor productivity of 0.5% (cross-industry econometric study on training/productivity).
- Training is estimated to yield a 200% average ROI in some corporate learning benchmark studies (ROI meta-benchmark).
- 76% of employees prefer learning methods that are job-relevant and immediately usable, supporting ROI-focused program design (workplace learning preferences survey).
Utilities face urgent reskilling needs as retirements rise and skills gaps grow, driving higher-impact blended training.
Related reading
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- Upskilling And Reskilling In IndustryUpskilling And Reskilling In The Supply Chain Industry Statistics
- Upskilling And Reskilling In IndustryUpskilling And Reskilling In The Home Improvement Industry Statistics
01 · Category
Workforce Skills3 stats
Workforce Skills Interpretation
02 · Category
Training Delivery4 stats
Training Delivery Interpretation
03 · Category
Business Outcomes5 stats
Business Outcomes Interpretation
04 · Category
Market Trends4 stats
Market Trends Interpretation
05 · Category
Costs And Roi4 stats
Costs And Roi Interpretation
More related reading
06 · Category
Workforce Demand2 stats
Workforce Demand Interpretation
07 · Category
Training Adoption2 stats
Training Adoption Interpretation
08 · Category
Market Size4 stats
Market Size Interpretation
09 · Category
Performance Metrics2 stats
Performance Metrics Interpretation
10 · Category
Cost & Roi3 stats
Cost & Roi Interpretation
Utility talent gaps and training investment signals
Utilities face workforce pressure from retirement eligibility and skills shortages, while employers increasingly invest in reskilling to close the gap.
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Kevin O'Brien. (2026, February 13). Upskilling And Reskilling In The Utility Industry Statistics. Gitnux. https://gitnux.org/upskilling-and-reskilling-in-the-utility-industry-statistics
Kevin O'Brien. "Upskilling And Reskilling In The Utility Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/upskilling-and-reskilling-in-the-utility-industry-statistics.
Kevin O'Brien. 2026. "Upskilling And Reskilling In The Utility Industry Statistics." Gitnux. https://gitnux.org/upskilling-and-reskilling-in-the-utility-industry-statistics.
Sources & references
33 datasets cited across this report · attribution is report-level
+6 additional datasets cited (not shown individually)

