Four in Five UK Manufacturers Are Using or Trialling AI - But Depth of Adoption Remains Painfully Thin
A new manufacturing survey finds AI uptake has jumped 28% since 2025, yet just 2% of firms have it embedded across operations. Headline numbers are flattering a sector that still can't get past the pilot stage.
The numbers arriving this week from Crowe's twice-yearly Manufacturing Outlook report, published via Diginomica, are the kind that look good in a press release and sobering under examination. Active use of AI across UK manufacturing has grown 28% since 2025. Four in five manufacturers are now using or actively trialling AI technologies. And yet, buried in the same data: just 2% say AI is widely embedded across their operations.
That gap between headline adoption and operational depth is the real story of British industry in autumn 2026.
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A Surge With a Shallow Waterline
The Crowe survey, conducted in June and July 2026, found that 57% of respondents have already adopted AI within their business, with a further 23% actively trialling solutions. That 80% combined figure represents a sharp climb from the Spring 2025 survey, when 52% of respondents reported any AI adoption at all. Progress, clearly. But progress toward what exactly?
The Office for National Statistics' own Wave 165 Business Insights and Conditions Survey (BICS), live from 21 September to 4 October 2026, adds important texture. Across all UK businesses, 30% now report using at least one AI technology, up 20 percentage points since the question was first introduced in September 2023, when the figure sat at 9%. For businesses with 250 or more employees, the proportion reaches 51%. For businesses with 10 or more employees, adoption is at 38%.
The ONS data also flags that the average adopting firm uses just 1.6 AI technologies. Only 10% of adopters describe their use as extensive. The ONS's own conclusion is that this "would imply relatively limited transformative impacts to date for most AI-adopting firms."
UK manufacturers have discovered AI exists. Most haven't yet decided what to do with it at scale.
Where AI Actually Lives on the Shop Floor
Make UK's report from June, AI, Skills and the Future of the UK Manufacturing Sector, is bracing on this point. Some 83% of manufacturers using AI are deploying it in back-office functions: HR, finance, and administration. Engineering, production scheduling, and process optimisation still represent the minority of deployments. The sector is estimated to lose around £6 billion in output each year due to unfilled vacancies and digital capability gaps, with wider digitalisation potentially unlocking a £150 billion boost to UK GDP by 2035.
The potential is enormous. Execution is not keeping pace.
RSM UK's mid-year industrials review, published this summer, frames it plainly: AI is increasingly viewed across UK manufacturing as a productivity tool rather than a headcount reduction lever. Most manufacturers are deploying AI across predictive maintenance, quality control, and process optimisation. Execution remains uneven, with integration challenges around core operational systems, data quality, and governance all continuing to limit scale-up.
The Crowe survey's own respondents make this concrete. Rising operating costs, employer National Insurance Contributions, minimum wage increases, and energy prices, are cited as the biggest barrier to growth. Many firms are accessing university support to minimise energy use alongside AI tools. That's not a technology strategy. That's triage.
The Brand Pipeline Is Also Signalling Caution
One structural read on how seriously the sector's transport and logistics layer is actually betting on AI comes from trademark data. AIBD analysis of IPO (TMD) data as of October 2026 shows just 211 UK trademark filings in Nice Class 39 (transport, packaging, and storage of goods) during Q4 2026, a fall of 83.3% against the prior period. Class 39 is the natural filing home for logistics platforms, autonomous delivery services, and supply chain technology brands.
A collapse of that scale in brand registrations suggests that a swathe of logistics-facing AI ventures have stalled, consolidated, or quietly shelved go-to-market plans. When even the lawyers aren't filing, the investment conviction has come out of the market.
Integration, Not Aspiration
The structural diagnosis isn't complicated. Manufacturers know AI can improve uptime, yield, and energy management. The governor on deployment is not awareness; it's skills, data infrastructure, and organisational readiness. Make UK found that over 50% of manufacturers cite skills shortages as the main barrier to adoption, with more than half of surveyed businesses saying staff simply don't have time to train.
The EU's Apply AI strategy, noting that agentic AI will be deployed to optimise production lines and logistics in Q4 2026, sets a competitive benchmark that UK industry cannot ignore given its export dependency. With the government's own AI for Clean Energy Vision launched in September seeking to embed AI across the electricity grid, the pressure on manufacturers to get smarter about energy management is layering on top of the productivity imperative.
Four in five manufacturers claiming some form of AI engagement is, under a different light, one in five still entirely absent. And of the 80% who are "in," most are in the shallows. The pilot era needs to end. The data says it hasn't.