Access to AI is one thing. Giving people the skills to use it well is where the bigger opportunity may begin.
A University of York report, published on 27 September, examines what AI, automation and upskilling could mean for work and economic growth across Yorkshire and Humber. It is about a possible future, not growth already in the bank.
What the regional projections say
The report, produced with higher education analyst QS and consultancy Public First, analyses nearly 2,000 occupations and more than 40,000 skills alongside regional workforce and economic data.
It estimates that effective AI adoption and upskilling could contribute a £38 billion GDP uplift for Yorkshire and Humber by 2030 and up to 379,000 new regional jobs. Those are modelled possibilities that depend on businesses, education providers and workers making the changes needed. They are not measured growth or jobs already created.
Across the UK’s eight Industrial Strategy sectors, the report also suggests AI could augment work in 75% of occupations. Augmenting a role means changing how some tasks are done, not saying three quarters of jobs are guaranteed to grow or disappear.
Source: University of York: report findings and methodology overview ↗
The technology alone is not enough
One of the report’s most important points is about people. Its analysis finds that more than 80% of critical roles across the core Industrial Strategy sectors require degree-level qualifications or higher. The authors argue for closer coordination among universities, employers and regional leaders so training reflects where demand is expected.
That does not mean every worker needs a degree to benefit from AI. It does mean that unlocking the report’s projected gains depends on serious attention to skills, rather than simply making software available.
For small businesses, this is a useful reminder. The biggest gains may come from understanding where an existing process wastes time, equipping people to improve it and using AI only where it actually helps.
Give a team access to a tool and nothing necessarily changes. Give them a clear problem, appropriate training and room for human judgement, and it has a better chance of becoming useful.
Read more: University of York: research announcement and full report link ↗
Make AI useful, not just available
The report challenges the idea that AI’s economic effect is only about replacing workers. Its proposed opportunity is people working alongside new tools, with the skills to decide when and how to use them.
Start with the work that needs to improve. Invest in the people doing it. Then see whether AI belongs in the answer.
No AI for the sake of AI.
Less hype. More real-world AI progress.