AI in UK Manufacturing 2026
The headline finding
UK manufacturing has the appetite but not yet the know-how: 75% of manufacturers plan to increase AI investment this year, yet only 16% consider themselves knowledgeable about where AI fits, and just 33–36% have AI running in operations (Make UK). Official data put firm-level adoption at only 5% in 2023 (ONS) — the lowest of any major sector. The prize for closing that gap: a potential £150bn addition to UK GDP by 2035.
Every figure on this page is a published statistic, attributed to its source inline and listed in full below. This is an aggregated barometer of third-party data — not a WayaNerd survey.
of UK manufacturers had adopted AI in 2023
The lowest of any major sector against a 9% services average (ONS, the official baseline).
Source: ONS — Management practices & AI adoption in UK firms (2023), Mar 2025of manufacturers plan to increase AI investment this year
But only 16% consider themselves knowledgeable about AI's potential — the intent-vs-knowledge gap (Make UK).
Source: Make UK / Autodesk — Future Factories Powered by AI, Nov 2024have AI deployed in operations
Most are stuck between testing and embedding — the pilot-to-production bottleneck (Make UK).
Source: Make UK / Autodesk — Future Factories Powered by AI, Nov 2024potential GDP addition by 2035
From targeted digital and AI investment, especially among SMEs (Make UK / Sage).
Source: Make UK / Sage — Making it SmarterAdoption: high intent, low know-how
The defining feature of UK manufacturing AI is the gap between ambition and understanding. Investment intent is high; operational deployment and genuine knowledge are not — which is exactly the gap a costed, hands-on implementation closes.
firm-level AI adoption in manufacturing, 2023 — lowest major sector (ONS)
Source: ONS — Management practices & AI adoption in UK firms (2023), Mar 2025plan to increase AI investment in the next 12 months (Make UK)
Source: Make UK / Autodesk — Future Factories Powered by AI, Nov 2024consider themselves knowledgeable about AI's potential uses (Make UK)
Source: Make UK / Autodesk — Future Factories Powered by AI, Nov 2024have moved AI from testing into operations (Make UK)
Source: Make UK / Autodesk — Future Factories Powered by AI, Nov 2024Who's ahead — and the two-speed divide
Adoption is far from uniform. The government's advanced-manufacturing adoption plan (HVM Catapult) maps a clear sector hierarchy, and the gap between large firms and SMEs is widening — most SMEs stall at the pilot stage.
| Sub-sector | AI adoption |
|---|---|
| Automotive | ~60% |
| Electronics & high-tech | ~55% |
| Aerospace & defence | ~50% |
| Pharmaceutical & biotech | ~40% |
| Chemicals & materials | ~30% |
| Industrial machinery & metals | ~30% |
Source: gov.uk / HVM Catapult — AI adoption plan: advanced manufacturing, 2025.
The UK also lags on the automation that AI builds on: just 112 industrial robots per 10,000 manufacturing workers, against an EU average of 208 (IFR). The headline barrier across the government's research is consistently knowledge and skills, not capital — which is why understanding, not budget, is the thing to fix first.
Where the returns are real
For manufacturers that get past the pilot stage, the documented gains are substantial — concentrated in predictive maintenance, quality control and production scheduling. These figures are from named, credible sources; note the Lighthouse sites are global elite performers, not the UK average.
average labour-productivity gain and 48% shorter lead times across WEF Lighthouse sites (global elite)
Source: World Economic Forum — Global Lighthouse Network 2025ROI within 3–5 years for well-scoped manufacturing AI implementations (McKinsey)
Source: McKinsey — Adopting AI in manufacturing at speed and scaleproductivity improvement in BCG manufacturing AI transformations
Source: BCG — Shaking Up the Factory Floor with Digital and AI, 2024The barrier is know-how, and the policy backdrop
Government has put manufacturing at the centre of its AI strategy precisely because the opportunity is large and the adoption gap is wide. The constraint the data keeps surfacing is capability, not capital.
of manufacturers feel knowledgeable about AI — the core barrier (Make UK)
Source: Make UK / Autodesk — Future Factories Powered by AI, Nov 2024UK vs EU-average industrial robots per 10,000 workers — the automation base AI builds on (IFR)
Source: International Federation of Robotics — World Robotics 2025the government's proposed adoption pathway for manufacturing AI (gov.uk / HVM Catapult)
Source: gov.uk / HVM Catapult — AI adoption plan: advanced manufacturing, 2025This is where WayaNerd works with manufacturers: starting from the operations, not the technology — mapping the highest-cost workflows, scoping a single high-ROI use case (typically quality control or a forecasting/admin workflow), and shipping it past the pilot stage with the savings measured. The data is clear that the firms winning are the ones that close the knowledge gap and get one workflow into production, not the ones that buy the most tools.
Frequently asked questions
FAQ
Common questions
Official ONS data put firm-level AI adoption in manufacturing at just 5% in 2023 — the lowest of any major sector. More recent Make UK research found 33–36% have AI deployed in operations and 75% plan to increase AI investment, but only 16% consider themselves knowledgeable about where AI fits. Intent is high; operational maturity is low.
Predictive maintenance, quality control (including computer vision), production scheduling, and demand forecasting lead. WEF Lighthouse sites — global elite manufacturers — report 40% average labour-productivity gains and 48% shorter lead times, and McKinsey documents 2–5× ROI over 3–5 years for well-scoped projects, though most UK firms still stall at the pilot stage.
The barrier the government's research keeps identifying is knowledge and skills, not capital — only 16% of manufacturers feel knowledgeable about AI's potential. The UK also lags on the automation AI builds on (112 robots per 10,000 workers vs an EU average of 208, IFR). The pilot-to-production transition is where most SME manufacturers get stuck.
Make UK and Sage estimate a potential £150bn addition to UK GDP by 2035 from targeted digital and AI investment, especially among SMEs. Government has made manufacturing a focus of its AI Opportunities Action Plan, with a Scan-Pilot-Scale pathway designed to move firms past the pilot stage.
Sources
Every figure, attributed
- ONS — Management practices & AI adoption in UK firms (2023), Mar 2025
- Make UK / Autodesk — Future Factories Powered by AI, Nov 2024
- Make UK / Sage — Making it Smarter
- gov.uk / HVM Catapult — AI adoption plan: advanced manufacturing, 2025
- World Economic Forum — Global Lighthouse Network 2025
- McKinsey — Adopting AI in manufacturing at speed and scale
- BCG — Shaking Up the Factory Floor with Digital and AI, 2024
- International Federation of Robotics — World Robotics 2025
You are welcome to cite, quote and share these figures with attribution to their original source (and, for the compilation and analysis, to WayaNerd).
Get one manufacturing workflow past the pilot stage.
Only 16% of UK manufacturers feel they know where AI fits — and most stall at pilots. WayaNerd starts from your operations, scopes the single highest-ROI use case, and ships it with the savings measured. Start with the free AI Cost-Cut Scorecard.