45 Artificial intelligence is no longer just a tool for optimisation, but a strategic enabler in the UK’s journey towards a greener, more resilient economy. As the nation accelerates efforts to meet its net-zero targets, the adoption of AI in manufacturing offers a powerful lever to reduce emissions, enhance resource efficiency, and future-proof industrial operations. Historically, AI in manufacturing has focused on predictive maintenance, quality control and supply chain optimisation. These applications have delivered impressive gains in productivity and cost reduction. But today, the same technologies are being repurposed to tackle environmental challenges. Machine-learning algorithms can now identify energy-intensive processes, optimise resource usage, and even forecast carbon footprints across complex supply chains. Generative AI adds a new dimension. Beyond analysing data, it can design lowcarbon materials, simulate energyefficient production lines, and propose novel ways to reduce waste. This creative capability is reshaping how manufacturers approach sustainability, from product design to end-oflife strategies. The UK’s Modern Industrial Strategy recognises digitalisation as a cornerstone of sustainable growth. AI aligns perfectly with this vision, enabling manufacturers to innovate, while reducing their environmental impact. But technology alone isn’t enough. Strategic coordination is essential. That’s where associations such as Gambica play a pivotal role. By connecting industry, academia and government, we help businesses to navigate the digital transition with sustainability at the core. Through workshops, policy engagement and sectorwide initiatives, we empower manufacturers to adopt AI responsibly and align with national climate goals. Our Environmental Impact Survey is a great example of this. The report converts member-submitted data into CO2 equivalent values, showing a breakdown for CO2 emissions across different areas of their business. This allows companies to see where they are emitting the most CO2. Trend charts are then added to provide year-on-year comparisons. To find out more about this survey, please contact a Gambica member of staff or visit our Web site. As AI becomes more embedded in industrial systems, ethical considerations must be front and centre. Biased datasets, opaque decision-making, and intellectual property concerns can undermine progress, if left unchecked. Moreover, the environmental cost of developing and running AI models, especially large generative systems, must be weighed against their benefits. Associations and policymakers have a duty to ensure that AI adoption supports inclusive, sustainable growth. This includes promoting transparency, encouraging green AI development, and supporting SMEs on their digital journey. I’ve stressed before in previous articles – and will continue to do so – that AI won’t replace the workforce, it will reshape it. In the context of sustainability, this means equipping workers with the skills to manage smart energy systems, interpret environmental data, and contribute to circular economy models. Initiatives such as Made Smarter are already laying the groundwork, but further investment in green skills and vocational training is essential. Upskilling isn’t just about technical proficiency; it’s about fostering a mindset of innovation and stewardship. As AI takes over routine tasks, human creativity and strategic thinking become even more valuable. The UK manufacturing sector stands at a crossroads. With AI as a catalyst, it can lead the charge towards a net-zero economy – one that balances competitiveness with climate responsibility. But success depends on my favourite word, which I’ll continue to use, and that’s collaboration between technologists, industry leaders, associations, and government bodies shaping the industrial strategy. AI is not just transforming how we make things, it’s redefining what we value in the process. Sustainability, equity and innovation must go hand-in-hand. And with the right support, UK manufacturing can become a global exemplar of how digital transformation drives environmental progress. n * Gambica is the trade association for the automation, control, instrumentation and laboratory technology sectors in the UK. You can get in touch with Nikesh Mistry on 020 7642 8094 or nikesh.mistry@gambica.org.uk, or via the Gambica Web site: www.gambica.org.uk AI: a strategic path to environmental progress AI offers UK manufacturers far more than enhancing maintenance, quality and supply chains. Nikesh Mistry*, Gambica’s sector head for automation, argues that it can also help the UK to transition to a greener, more resilient economy. ‘The UK manufacturing sector stands at a crossroads. With AI as a catalyst, it can lead the charge towards a net-zero economy – one that balances competitiveness with climate responsibility.’ www.drivesncontrols.com November/December 2025
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