British manufacturing companies have significantly fallen behind international competitors in automation over the past two decades, new research reveals. The decline has seen UK firms slip down global rankings for technological advancement.
Poor adoption of robotics and artificial intelligence systems has contributed to the competitive gap. Worker training in essential digital skills remains far below the levels required to close this technology divide.
Skills shortage hampering progress
Nearly half of British manufacturers cite inadequate technical expertise as their primary obstacle to embracing innovative technologies. This skills deficit represents the most significant barrier preventing companies from modernising their operations.
Many automation projects that do begin subsequently fail during the implementation phase. Companies struggle to access the guidance and support necessary to make new technologies function effectively within their operations.
Seamus Nevin, chief economist at Make UK, said: "Time and again, we hear from small and medium-sized manufacturers that they're keen to adopt new technologies, but are being held back by fragmented support, complex funding systems, and a lack of accessible, appropriate digital skills training. If we want to unlock a £150 billion boost to UK GDP by 2035, we must make it easier for SMEs to adopt automation and AI."
Government response
The research findings have prompted official acknowledgement of the challenges facing the manufacturing sector. Authorities have outlined various initiatives aimed at removing barriers to technological adoption.
A Government spokesperson said: "We are taking a range of actions to remove the barriers holding back growth and unleash the potential of AI in our economy, including through the AI opportunities action plan. Our modern industrial strategy has also introduced ambitious plans to drive growth and investment across the UK, and our Plan for Change will ensure our country continues to be the best place to invest and do business."
Sources used: "PA Media", "Make UK", "Sage" Note: This article has been edited with the help of Artificial Intelligence.
