Siemens Transform puts urgent focus on real-world AI and automation adoption

Industrial AI, digital twins, cyber security, electrification and advanced automation are moving rapidly from the innovation agenda to operational reality.. For UK manufacturers, the challenge is no longer whether these technologies matter, but how to apply them in ways that improve productivity, strengthen resilience and support long-term industrial capability. This shift will be reflected at Advanced Engineering, which returns to NEC Birmingham on 4–5 November 2026, co-located with UK Metals Expo and Lab Innovations.

If there is one message coming through clearly from across the engineering and manufacturing landscape, it is that the pace of industrial change is accelerating. Conversations at Siemens Transform in Manchester last week brought that into sharp focus, with industrial AI, cyber security, digital twins, advanced automation, electrification and smarter, more resilient operations all firmly at the centre of discussion. What stood out on site was how clearly these technologies are now being positioned as practical tools for improving performance, resilience and competitiveness, rather than as longer-term innovation concepts.

From emerging themes to immediate priorities

That matters because these are no longer distant themes reserved for innovation teams or long-range planning exercises. They are becoming immediate business issues, shaping how manufacturers think about investment, operations, supply chains and competitiveness.

Across the sector, the tension is increasingly clear. Businesses understand the potential of AI and automation, but many are still working out how to deploy them effectively in real production environments. The pressure is not simply to innovate, but to modernise in ways that are commercially disciplined, operationally realistic and secure.

Why implementation is now the real challenge

For many manufacturers, that means grappling with several challenges at once. Legacy equipment still underpins large parts of industrial capacity. Skills shortages continue to affect transformation plans. Cyber risk is becoming more significant as systems become more connected. At the same time, companies are being asked to improve productivity, strengthen supply chain resilience and support net zero goals without losing pace or control.

This is where the conversation around AI has become more mature. The industry is moving beyond broad enthusiasm and into a more testing phase, where practical questions matter most. Where can AI genuinely improve quality, maintenance, planning and decision-making? How should human oversight be retained? What does responsible deployment look like in environments with strict data, compliance or operational requirements? And how can businesses avoid digital initiatives becoming trapped in pilot mode?

A wider UK industrial context

These questions sit squarely within a wider UK industrial context. As the government places greater emphasis on AI and automation as part of industrial strategy, manufacturers are being asked to think not only about efficiency, but about capability. Productivity, sovereign resilience, friend-shoring and the ability to scale advanced manufacturing all depend increasingly on how well businesses adopt and integrate enabling technologies.

Recent investment across the UK in advanced manufacturing infrastructure and AI-enabled research suggests that this direction of travel is already well established. Developments in composite manufacturing, automation and engineering research are showing how digital tools and intelligent systems can help shorten development cycles, improve throughput and build stronger long-term industrial capacity. But they also underline a broader point: adoption is rarely straightforward, and progress depends on collaboration as much as technology.

Why these conversations matter now

That is one reason industry events are taking on a different kind of relevance. Their value lies less in display alone and more in their ability to bring together the engineers, manufacturers, technology providers and decision-makers trying to interpret the same changes from different vantage points. In periods of transition, those conversations matter.

This will be reflected at Advanced Engineering when it returns to the NEC Birmingham on 4–5 November 2026, co-located with UK Metals Expo and Lab Innovations. While the event has long served the UK engineering community, this year’s edition arrives at a particularly consequential moment, as AI and automation move closer to the centre of industrial strategy and operational planning.

A new focus on applied AI and automation

That shift is evident in the launch of a dedicated AI, Digitalisation and Automation track, which will focus on robotics, connected machines, digital twins, predictive maintenance, smart factory integration and IT/OT convergence. The emphasis is telling: less on abstract promise, more on implementation, return on investment and technologies that work beyond proof of concept.

A similar theme runs the Future of Engineering Forum, sponsored by Razor. The company is using the event to highlight DataQi, its manufacturing intelligence platform designed to bring together legacy machinery and siloed sensor data into a single digital intelligence layer. That focus on applied use rather than concept reflects a wider market reality. The challenge for many manufacturers is no longer understanding that data and AI matter, but determining how to make them useful, secure and scalable in live industrial settings.

Industry perspective

Simon Farnfield said: “What we are seeing across the sector is a shift from interest in AI and automation to much more practical questions about application. That was very evident at Siemens Transform, where the focus was firmly on deployment in real industrial settings. Manufacturers want to know what will genuinely improve productivity, resilience and decision-making, and how those technologies can be integrated in ways that make sense commercially and operationally. That is why informed industry discussion matters so much at this stage.”

From ambition to action

For engineering and manufacturing leaders, that may be the defining issue now. The future is no longer being discussed in abstract terms. It is being tested against the realities of the factory floor, the supply chain, the skills base and the investment cycle. In that environment, the most valuable conversations are likely to be the ones that help the sector move from ambition to action.

To find out more and get your complimentary ticket to Advanced Engineering 2026 and the new AI, Digitalisation and Automation track, visit the official event website.