In an AI-First Workplace, Knowing When AI Is Wrong Could Become a Critical Skill
IBM's talent leadership points to critical thinking and judgment as AI takes on more routine work. Technical depth is what makes that judgment possible.
Aiexl. · 05 October 2026 · 1 min read

IBM talent leadership has highlighted critical thinking and judgment as increasingly important capabilities as AI performs more coding, analysis and routine knowledge work, The Times of India reports.
A recent IBM Institute for Business Value study, which surveyed CHROs and employees globally, found that 71% of CHROs identified the ability to supervise, validate and override AI outputs as the most essential workforce skill, while only 29% of employees ranked judgment that highly.
This does not mean technical skills are becoming irrelevant.
Technical understanding is often what allows someone to recognise when AI-generated code, analysis or recommendations are incorrect, insecure or inappropriate. You cannot meaningfully review what you do not understand.
The emerging combination is:
Technical Capability + AI Literacy + Critical Thinking + Judgment
Takeaway
Using AI to complete work faster is not the same as developing the underlying ability to evaluate whether its output is correct.
Sources & references
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