Southampton study puts numbers on AI’s potential impact across southern England

A University of Southampton report says AI could reshape work in three in ten jobs across southern England, while about 55,000 workers are in roles where it could absorb much of their routine daily work. The figures describe potential exposure, not a forecast that those jobs will disappear.

Watch Desk analysis

What happened

The report, unveiled at a regional business conference on 5 November, says AI is expected to assist with tasks rather than replace jobs in most industries. It puts Hampshire and the Solent slightly above the England average for exposure. Public administration, ICT, finance and professional services are among the sectors it expects to see the largest changes; care, hospitality and construction are among the least affected.

The more vulnerable group represents roughly 5% of the regional workforce. The report says women, part-time workers and people midway through their careers are over-represented. Its proposals include AI skills training, public-sector leadership by example, and a “transition guarantee” to retrain and redeploy those most at risk of losing work. These findings and proposals are described by Resultsense in its report on the University of Southampton study.

Why it matters

“Three in ten jobs affected” can sound like a redundancy notice. It is not one. The distinction between AI changing tasks and eliminating roles matters, especially when the report identifies a smaller group whose routine work may be substantially absorbed. For local employers and policymakers, the figures put a sharper focus on who might need support, and what that support could look like.

The demographic finding also raises a practical challenge: training designed around a full-time, early-career worker may miss people who are part-time or already established in their jobs. A transition guarantee is a concrete proposal, but the report’s summary does not say who would fund it or how it would work.

Our read

This is a useful regional map, not a crystal ball. Exposure estimates can help direct attention, but they do not prove that AI will cause a particular person to lose their job. The best next step is to ask whether employers and public bodies will turn the report’s broad proposals into training and redeployment that people can actually access.

What to watch

• Whether local employers or councils adopt the proposed training and transition measures.
• How the study defines jobs that are exposed to AI and those considered more vulnerable.
• Whether later evidence shows changes in hiring, job tasks or redundancies across the region.

Discussion spark: Should employers and government guarantee retraining and redeployment for workers whose jobs are most exposed to AI, or should that support be left to existing training and employment schemes?

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.