AI’s value will ultimately be judged not by the technology itself, but by how effectively manufacturers can apply it to improve productivity, efficiency and competitiveness. Turning AI into industrial advantage The latest Make UK report on AI adoption in manufacturing provides a timely snapshot of where the sector currently stands. While awareness of artificial intelligence continues to grow, the findings suggest the implementation across UK manufacturing remains at an early stage, particularly within core production activities. According to the report, only a small proportion of manufacturers have fully embedded AI into their businesses, while a significant number have yet to adopt it at all. Where AI is being used, it is most commonly found in backoffice functions such as HR, finance and administration rather than in production, quality control or supply chain operations. That distinction is Editor’s Comment ‘ ’ important because it highlights the difference between using AI to improve administrative efficiency and deploying it in ways that directly influence manufacturing productivity. The report also challenges some of the more polarised debate surrounding AI and employment. Rather than replacing jobs outright, manufacturers are more likely to use AI to augment existing roles, automate repetitive tasks and support better decision-making. This reflects the reality of manufacturing, where new technologies have consistently complemented the work of skilled people rather than simply replacing them. Perhaps the report’s most significant finding is that the technology itself is not the principal barrier to wider adoption. Make UK identifies skills shortages, limited organisational readiness and a lack of practical implementation expertise as the factors holding businesses back. Many manufacturers acknowledge that they do not yet have the capability or confidence to deploy AI beyond isolated applications, while time and resource constraints continue to make workforce training difficult. The findings reinforce an important point for the industry. AI’s value will ultimately be judged not by the technology itself, but by how effectively manufacturers can apply it to improve productivity, efficiency and competitiveness. Whether that is through predictive maintenance, quality inspection, supply chain optimisation or other practical applications, success will depend on the skills, processes and leadership needed to integrate AI effectively. What emerges from the report is a sector that understands the direction of travel but is still working out how to get there. Manufacturers have never been short of innovation but what many now need is the capability to turn AI from a promising concept into another dependable production tool. June/July 2026 www.pwemag.co.uk Plant & Works Engineering | 03
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