The UK shipbuilding sector needs to address significant skills shortages in AI, robotics and automation if it is to thrive in the long term, a report from National Manufacturing Institute Scotland (NMIS) claims.
The report outlines the need to further adopt these three emerging technologies to enhance operations such as welding, joining and inspections in confined or hazardous spaces.
“The roles of some welders will evolve to combine traditional skills with expertise in new technologies and materials, as advanced technologies such as robotics and additive manufacturing are integrated into operations,” NMIS writes.
Greg Cranstoun, industry and skills engagement lead at NMIS, comments: “Scotland has a deep-rooted history of shipbuilding, particularly on the Clyde, but the challenges of a skills shortage apply to the whole of the UK.”
NMIS notes that, in 2022, shipbuilding contributed £3.1 billion to the UK economy, supporting more than 44,600 jobs. That year also marked the introduction of the National Shipbuilding Strategy, which has called for a 50% reduction in the UK sector’s skills shortage by 2030.
“We need to ensure we have the right people with the right skills lined up to meet demand,” says Cranstoun. “Technology is only going to become more prevalent as the adoption of AI and robotics increases in all sectors, and there are significant gains that could come from using advanced equipment to improve both health and safety and productivity in shipyards.
“Manufacturers need to think ahead to the types of roles this will create, and how to equip the current workforce and future employees with the skills to take this forward.”
As for how to get there, the report calls for a “collaborative approach between industry and training providers, to design programmes that prepare workers for these hybrid roles”. This approach would include the updating (and tailoring) of existing training courses for relevance, and the development of new training courses. Stakeholders should also drive new educational standards and targeted curricula while implementing short courses and continuous professional development (CPD) programmes to plug current knowledge and skills gaps.
The report also recommends the creation of new job descriptions, including (but not limited to): quality control inspector in shipbuilding; robotics integration engineer; welding engineer; industrial equipment maintenance technician; and robotics systems design and implementation engineer, for example. These newly defined roles should help manufacturers to evaluate gaps between existing roles and future requirements, the report opines.
NMIS, which is operated by the University of Strathclyde, collaborated with Innovate UK’s Workforce Foresighting Hub to produce the report, drawing on the latter’s advanced AI tools and workshop and survey findings to capture and analyse the data. NMIS adds that these collated insights could also be adopted and acted on by other sectors, including offshore wind and oil and gas.
Meanwhile, Mantas Lukauskas, self-styled ‘AI evangelist’ at neoxis.ai, says that the current “AI gold rush era” has accelerated developments in AI and machine learning to the extent that some companies may struggle to keep up with the pace of change.
“The more models appear, the harder it becomes to keep track of them all, let alone experiment and deploy them effectively,” Lukauskas says. “However, the multi-model ambitions quickly become technically and logistically complex.” He warns that the AI landscape “will only get more crowded” in the run-up to 2030.
Lukaskaus recommends weighing up considerations such as complexity, security and compliance, performance variance and cost before committing to new AI or machine-learning tech. The best solution may be to rely on a centralised platform that can speak to multiple providers via a single interface, he continues, adding: “The real competitive advantage is to stay nimble.”
