27% of Businesses Say Roles Accurately Reflect AI Involvement: Report

Why It Matters

As AI shifts tasks from humans to autonomous agents, businesses face immediate talent and governance risks: without redesigned roles, measurable metrics for AI work, and robust oversight, firms may lose productivity gains, hamper retention, and expose themselves to fairness and decision-risk issues.

Summary

A NTUC Learning Hub survey of 200 business leaders found only 27% say job scopes accurately reflect how agentic generative AI is involved in daily work, revealing a gap between rapid AI adoption and role redesign. Firms report productivity gains from AI—such as dramatically faster document processing—but struggle with skills shortages, limited upskilling avenues, and difficulties measuring AI-augmented performance. Experts and employers call for updating job descriptions, embedding AI governance and oversight, and building skills in critical thinking, judgement and human-in-the-loop supervision. Some companies are creating new AI-focused roles and “AI native” builder tracks, but many organisations remain in catch-up mode.

Original Description

About a quarter of business leaders surveyed by NTUC LearningHub say job scopes accurately reflect how agentic AI is involved in daily work. This type of tech can act independently, which can be used for data analysis and customer support. Most business leaders are confident in supervising such AI agents but highlighted the need to have human oversight in making decisions. Ivy Chok reports. We also spoke with two industry experts to find out how companies can bridge the gap between technology and talent.