Skip to main content
AI UPDATEAI Careers & Skills

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

In an AI-First Workplace, Knowing When AI Is Wrong Could Become a Critical Skill

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

Build a career in AI with CAIEE

The Certified AI Excellence Engineer programme turns these ideas into practical, portfolio-ready skills.

Explore CAIEE

Related Insights