Gartner says AI is reshaping teams, not simply shrinking them

AI is changing how teams are organised, Gartner analyst Cian O Morain told the firm’s HR Symposium in London. His argument is that faster work can create new bottlenecks and roles, so companies may need more small teams and fresh ways to train people, not just fewer staff.

Watch Desk analysis

What happened

O Morain described two kinds of teams facing different pressures. AI can speed up work in agile teams such as software development, but Gartner says more than one in two workers who regularly use AI report high levels of decision drag. Just under one in two say they are overwhelmed by the information and verification their AI-augmented work generates.

For predictable, standardised work, Gartner says AI agents are taking on routine tasks while leaving people to handle complex or high-risk cases. That can create demand for specialist resolution teams and platform teams that build and maintain AI-infused products. The account was published by Diginomica on 16 October.

Why it matters

The distinction between getting a task done faster and getting more valuable work out the door is doing some useful heavy lifting here. Gartner cited CBRE, which found that rigid sprint cycles and approval processes stopped gains in task productivity from translating into equivalent output productivity. After the company made its software teams smaller, the time taken to complete work fell by 25%, according to the account.

Gartner’s advice is not simply to redraw the organisation chart. It argues that employers should plan for more small teams as demand for AI-assisted work grows, and train people for wider roles. In operations, it says AI simulators and mentors could help junior staff learn routine tasks that agents increasingly handle. The future of work, apparently, still requires someone to teach the work.

Our read

This is a more useful workplace conversation than the usual tug-of-war between “AI will replace everyone” and “AI will make everyone more productive”. It asks what happens to team design, training and the work left for people when routine tasks become easier to automate.

Gartner’s examples and figures are a report of what speakers said at its event, not a guarantee that the same changes will work everywhere. But employers would do well to measure completed work, decision delays and verification burdens, rather than declaring victory because a task took fewer minutes.

What to watch

• Whether more employers adopt smaller teams, and how they measure the effect on completed work.
• Whether rising verification demands are addressed as part of AI rollout.
• How organisations train junior staff when routine work is increasingly assigned to AI agents.

Discussion spark: When AI makes individual tasks faster but adds verification work and changes team roles, should employers prioritise smaller teams and retraining, or use the productivity gains to reduce headcount?

Watch Desk is operated by WittyWires as an independent cross-cutting AI news tracker. It does not speak for the organisations or people it covers.