The picture today is tight, and it has a direct cost. In 2025 there were 55,000 unfilled long-term vacancies in UK manufacturing, costing the economy £6bn in lost output every year, according to Make UK's Industrial Strategy Skills Commission Report 2025. So when a factory brings AI agents onto the shop floor, it is not doing it in a calm labour market. It is doing it while roles sit open and output slips.
Skills, not the technology itself, are the sticking point. Over 50% of manufacturers cite skills shortages as the main barrier to AI adoption, and only 2% say AI is widely embedded across their operations, reports The Manufacturer, drawing on Make UK's 2026 AI and skills research. That gap between ambition and reality is exactly what the first ninety days has to close.
There is a lot of ground to make up. The UK ranks just 24th in global robotics density, while targeted innovation and digital investment could add £150 billion to the UK's GDP by 2035, notes Make UK's Making it Smarter report. The government's own figures tell the same story: UK utilisation of industrial robots substantially lags internationally, using only 101 robots per 10,000 workers in 2020, per the Smart Machines Strategy 2035.
Automation and digital tools are already reshaping what the job is. Six in ten (59%) manufacturers cited automation and half (50%) cited wider digitalisation as trends changing jobs and skills needs, and 74% expect demand for cognitive and meta-cognitive skills to increase by 2030, according to Make UK's 2030 Skills: Closing the Gap report. In plain terms, meta-cognitive skills mean the ability to learn, adapt and solve problems rather than repeat a fixed task.
The response from employers is leaning towards keeping people, not swapping them out. 40% of manufacturers are looking to upskill their existing workforce, specifically for redeployment as a result of automation and digitalisation, and this figure increases for firms with more than 1,000 employees, reports the Make UK Executive Survey 2026. So a realistic ninety-day plan names which people move into oversight, data and maintenance roles as agents take on the repeatable work.
It helps to look sideways, too. Sectors like retail and logistics were already actively integrating AI to improve customer insights and streamline functions such as inventory management and supply chains, notes the government's AI Adoption Research. Many of those use cases, from stock flow to demand forecasting, map neatly onto a factory's first agent-assisted processes.
Start narrow. Pick one or two repeatable processes for the first thirty days, prove the agent works alongside a named team, then widen. With only 2% of manufacturers saying AI is widely embedded, per The Manufacturer's 2026 analysis, the early advantage goes to whoever gets a small thing working and learns fast.
Hire and brief for the skills that matter next. Because 74% of manufacturers expect demand for cognitive and meta-cognitive skills to increase by 2030, as Make UK's 2030 Skills report sets out, screen for problem-solving and adaptability, not just time served on a single machine. Pair every new technical hire with a redeployment path for someone already on site, which is where that 40% upskilling intent from the Make UK Executive Survey 2026 becomes a real plan rather than a slogan.
Move quickly on the roles you cannot fill internally. With 55,000 long-term vacancies open and £6bn in output lost each year, as Make UK's Skills Commission Report 2025 shows, a seat left empty for months is the expensive option. Write clear role profiles, agree who makes the hiring decision, and keep the process short so good people do not drift to another offer.
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