Mpamag iconMpamagSep 23, 2026 ~4 min source read

AI and the slow erosion of workplace critical thinking

Surveys and national data show AI is changing what skills matter — and that organizations risk losing employees’ judgment unless HR treats skill erosion as a talent risk and rebuilds thinking work into roles.

Is AI eroding critical thinking in the workplace?

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CHROs see supervising and overriding AI as the top workforce skill, but far fewer employees agree — a gap that signals declining judgment.

Many organizations have reskilling roadmaps, but fewer are addressing skill erosion: losing the everyday experiences that build critical thinking.

Where HR helps set which decisions remain human-led, employee confidence in AI decisions rises sharply.

# Why this matters now An IBM survey of 1,500 CHROs and 8,800 employees found widespread anxiety about AI's effect on judgment. CHROs and employees disagree on what counts as essential skills: 71% of CHROs named the ability to supervise, validate and override AI outputs as the most important capability, while only 38% of employees agreed. Sixty percent of employees said AI is eroding their skills, with critical thinking cited most often.

# Where HR fits HR leaders are being pushed to treat judgment and supervision skills as human capital priorities. The IBM research found that nearly half of organizations (46%) do not involve the CHRO when defining AI strategy. That matters: in organizations where CHROs helped decide which decisions remain human-led, 63% of employees reported increased confidence in AI-enabled decisions versus just 19% where CHROs did not participate.

Geneviève Bich (METRO) frames the issue as broader than technology: it touches transformation, competencies and leadership. Nickle LaMoreaux (IBM) says CHROs must redesign work so people contribute where they add the most value. Dr. Amit Das warns that "fluency without judgment simply helps an organization make mistakes faster," calling attention to the quiet loss of learning experiences that teach people to think.

# The difference between reskilling and erosion

Some Canadian HR teams are actively rebuilding supervised exception handling into junior roles to maintain exposure to analysis and decision checkpoints. StatCan also found that among businesses using AI, 44.4% changed training or staffing practices because of AI — larger firms were more likely to retrain existing employees than smaller ones.

# Practical steps employers are taking and should consider

  • Treat skill erosion as a talent risk on par with attrition: identify roles losing exposure to analysis or exception handling.
  • Rebuild thinking work into job design via rotations, coached handoffs, and structured supervised exceptions.
  • Consider pay premiums for employees who can reliably supervise and validate AI outputs.

# What this means for managers and HR teams Managers should map everyday tasks where judgment is practiced and ensure those tasks are not fully automated out of existence. HR should measure loss of exposure to decision work when introducing AI and create interventions that restore supervised practice. Where organizations focus only on tool training, they risk producing "fluency without judgment," which speeds up error-making instead of preventing it.

# Bottom line AI can boost productivity but also strips away the learning moments that create critical thinking. Organizations that define which decisions must stay human-led and actively rebuild judgment through role design, coaching and selective hiring are the ones most likely to preserve practical judgment in the workforce.

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