Why Upskilling With AI Is the Smart Move
Here's the data on upskilling vs career pivoting (and what it means for your team).
One More Thing · Edition #12
You want your team ready for the AI future.
Should you retrain them or upskill them?
Researchers tracked thousands of workers from 2012-2023.
Their findings: upskilling employees on using AI in their current roles beats career pivoting every time.
What the Research Shows
- Upskilling delivers bigger gains. Employees who build AI skills in their existing roles see larger pay increases and better performance outcomes than those who switch their field entirely for technical AI positions.
- "AI-only" career switches often disappoint. Workers who pivot to technical AI roles actually earn about 30% less than those who learn to use AI strategically in their current domain expertise.
- Nearly every role benefits from AI integration. While only 25-40% of jobs are considered fully "AI-retrainable," almost every position becomes more valuable when the person knows how to use AI effectively.
What This Means for Leaders
- Invest in practical AI education. Teaching people how to integrate AI into their daily work makes them more effective, without the risks of forcing a full career pivot.
- Upskilling boosts retention. Teams become more productive and engaged, and companies keep their best talent by developing skills that can transfer across the business.
- Use AI as a signal for worker adaptability. Learning AI also proves which employees can adapt to a changing workplace.
The takeaway is clear: enhancing worker expertise with AI leads to better outcomes than training them for AI-only roles.
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