Pearson warns AI is outrunning training in skilled trade jobs
Pearson's own research, launched on 24 September, finds almost every UK skilled-job opening is a replacement hire, as experienced workers leave and take their practical know-how with them
- Pearson's report covers the US, the UK and China.
- In the US, Pearson finds 14.1 million of 14.3 million annual openings in these jobs are replacement hires, or 98.5%.
- Skilled technical trades and installers is one of seven occupation clusters in Pearson's analysis.
- Pearson says fixing the gap needs mentoring, observation, simulation and hands-on practice alongside AI training.
The signal is that skilled technical work is turning into a knowledge-retention problem more than a headcount one. Employers of field engineers and installers are likely to get more from capturing what senior staff know, in runbooks and structured shadowing, than from growing teams. Expect training providers to sell AI skills as part of that fix. Treat the findings as directional: Pearson sells the kind of training it recommends.
“The challenge is that demand for these workers is rising just as many experts are retiring and taking decades of practical knowledge with them.”Sharon Hague, president of English language learning and UK chief executive, Pearson
Pearson, which sells qualifications and training, launched a report called For Every Future at the WorldSkills International Conference in Shanghai on 24 September. It argues that early-career workers in skilled trade, technical and service jobs face a ‘triple capability gap’. They need role-specific judgment about when to trust AI, human skills such as communication and adaptability, and the hands-on know-how that retiring colleagues used to pass on.
The UK figures come from Pearson's own modeling. It took Office for National Statistics (ONS) Annual Population Survey data for October 2024 to September 2025 and National Foundation for Educational Research (NFER) occupation projections for 2025–2035, adjusted because 2025 employment came in below forecast. The scope is the 178 unit groups in major groups 5 to 9 of the ONS's SOC 2020 classification, mapped onto a typology Pearson built from US data. Its interviews, roundtables and an online survey looked in depth at two roles: pharmacy technicians and industrial machinery mechanics.
On that basis, net UK employment in these jobs is almost flat to 2035, up just 26,000. Replacement demand is just over 4 million openings across the decade, 99% of the total and more than 150 times the net change. In Pearson's survey of 63 trainee and early-career mechanics, only 45% were moderately or very confident their training would prepare them to use AI on the job.
The scope matters for the channel. It takes in installers and field trades, but not ONS major group 3, the associate professional band that includes IT operations technicians.
Sources
- Pearson, “Pearson research warns of a ‘triple capability gap’ emerging as AI adoption outpaces education and training in skilled occupations”, press release, 24 September 2026. https://www.prnewswire.com/news-releases/pearson-research-warns-of-a-triple-capability-gap-emerging-as-ai-adoption-outpaces-education-and-training-in-skilled-occupations-302887586.html
- Pearson, “For Every Future: Preparing Early-Career Skilled Trade, Technical and Service Talent for an AI-Infused World”, report, September 2026. https://www.pearson.com/content/dam/global-store/global/early-careers/For-Every-Future-Report-Pearson-1.pdf
- Pearson, “Early Careers: Building expertise in an AI-infused world”, report page. https://www.pearson.com/ai-ready-careers
- Office for National Statistics, “SOC 2020 Volume 1: structure and descriptions of unit groups”. https://www.ons.gov.uk/methodology/classificationsandstandards/standardoccupationalclassificationsoc/soc2020/soc2020volume1structureanddescriptionsofunitgroups
- ChannelLife UK, “AI widens skills gap in UK skilled trades, Pearson finds”, 24 September 2026. https://channellife.co.uk/story/ai-widens-skills-gap-in-uk-skilled-trades-pearson-finds
