By Steve Elcock, Director of Product – AI, Zellis
The UK manufacturing sector has long been shaped by resilience. From supply chain disruption and rising energy costs to labour shortages and increasing operational pressure, manufacturers have repeatedly adapted to uncertainty whilst continuing to drive innovation and growth. Today, however, the industry faces another significant shift.
Artificial intelligence (AI) is hardly new to manufacturing. From robotics and automation to demand forecasting, the sector has been integrating AI into operations for decades. Recent advances in generative AI have, however, rapidly expanded AI’s role within the workplace itself, creating mounting pressure for organisations to understand where the technology can best deliver practical value. Whilst workplace artificial intelligence adoption is accelerating, many manufacturers are finding that implementation alone is not enough. The greatest challenge lies in ensuring artificial intelligence supports the way people and businesses actually work.
Zellis recently explored how leaders and employees across multiple sectors are responding to AI’s expansion, uncovering growing gaps between adoption and meaningful alignment. The findings suggest that introducing artificial intelligence tools alone is not enough to ensure they support broader organisational goals and ways of working.
For manufacturing businesses, this challenge is particularly relevant. The sector employs around 2.6 million people and contributes more than £217 billion to the UK economy. And yet it continues to face rising labour costs, operational complexity and intense competitive pressure. Manufacturers are being asked to improve productivity whilst maintaining safety standards, managing workforce shortages and responding to supply chain volatility.
In this environment, the value of artificial intelligence not only depends on adoption but on how effectively it is built into existing workflows.
The manufacturing AI gap
Artificial intelligence adoption among manufacturing leaders is already widespread. More than nine in ten (94%) say their organisation currently uses or interacts with AI tools as part of its operations. However, only 66% of manufacturing employees say they use artificial intelligence regularly, or occasionally, in their role.
That gap highlights a wider challenge. Technology investments are often introduced top-down, without fully accounting for the realities of frontline operations. In manufacturing environments, where shift patterns, operational precision and health and safety requirements shape day-to-day decision-making, artificial intelligence must fit existing workflows and operational demands.
Many of the pressures facing manufacturers are already well-established: manual scheduling, complex payroll for variable hours and shift premiums, time and attendance administration, quality reporting and compliance documentation. These are also the areas where employees working in the manufacturing sector are most likely to see value from AI support. Used effectively, artificial intelligence can reduce time spent on repetitive administrative tasks – allowing employees to focus on operational problem-solving, quality and safety.
Among manufacturing employees already using artificial intelligence, 76% say it improves productivity; 52% say it increases job satisfaction; and 77% say it gives them more time for meaningful or strategic work. Leaders also recognise the benefits, with 64% agreeing artificial intelligence improves the quality of outputs and 70% saying it gives employees more time for higher-value work.
The organisations reporting the most positive results are not necessarily those adopting artificial intelligence most quickly, but those integrating it in ways that align with operational priorities, workforce needs and processes.
Artificial intelligence should support judgement, not replace it
Manufacturing employees need clarity about how artificial intelligence will be used and where human judgement remains essential. In industry environments where safety, accuracy and consistency are critical, trust in AI systems depends heavily on communication, training and day-to-day experience.
The research found that 64% of manufacturing employees are confident artificial intelligence supports their role and helps them perform more effectively. Meanwhile, 75% say artificial intelligence provides a safe space to ask questions or check information without fear of judgement and 70% believe it creates opportunities to learn new skills.
This is particularly relevant as manufacturers continue to battle skills shortages. Artificial intelligence can help accelerate knowledge-sharing, support workforce development and improve employee confidence, particularly for newer workers entering increasingly technical environments.
However, these outcomes depend on how artificial intelligence is introduced and managed. Only half of manufacturing employees currently feel involved in decisions about how artificial intelligence is used in their organisation – a finding that underscores the importance of employee engagement and operational alignment, not just technology investment.
Manufacturing’s productivity opportunity
The commercial implications are significant. Over a quarter of leaders estimate that 4–6% of operating costs could be saved through better AI alignment, whilst many believe 6–10% of employees’ time could be redirected towards higher-value work if artificial intelligence better supported their teams.
Achieving those gains requires organisations to move beyond treating artificial intelligence as simply another software deployment. Manufacturing leaders can make meaningful progress by focusing on four priorities: putting frontline voices at the centre of artificial intelligence roll-outs, targeting repetitive administrative tasks, investing in role-specific training and measuring outcomes beyond productivity alone. Safety, retention, workforce wellbeing and operational quality matter just as much as efficiency gains.
Turning grey into great
Manufacturing businesses are already under pressure to do more with less. Artificial intelligence can help them achieve that goal, but technology alone is not the answer.
The organisations that will gain the greatest advantage are those that combine artificial intelligence with transparency, workforce trust and strong operational leadership. When businesses close the alignment gap between leadership ambition and frontline experience, artificial intelligence becomes a catalyst for better decisions, stronger cultures and more resilient performance.
That is where manufacturing’s next competitive advantage will come from.
Read other recent UK Manufacturing news: https://uk-manufacturing-online.co.uk/category/news/
