Does AI always improve productivity?
No. Productivity gains occur when the tool fits the task and the user can evaluate its output. Applying AI to poorly defined, highly exceptional or consequential work can introduce errors and reduce quality.
What skills will matter most?
AI literacy, data skills and cybersecurity will grow in importance, but analytical thinking, creativity, resilience, leadership and collaboration will remain essential. The valuable worker will combine technical fluency with professional judgment.
Should businesses prohibit employees from using public AI tools?
A blanket prohibition may drive usage underground. Organisations should instead establish approved tools, data-classification rules, prohibited information categories, verification requirements and accountability for final outputs.
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