AI low risk amid workforce shortage

The heavy lifting sector is entering a period of strong expansion, but workforce challenges are emerging as a critical constraint. The market is forecast to reach $44.6 billion by 2034, driven by steady annual growth of 5.8 percent, according to Boston Consulting Group.

Despite increasing digitalisation, the impact of artificial intelligence on employment remains limited. Research from McKinsey Global Institute indicates that fewer than 5 percent of roles in physically demanding and complex environments, such as heavy lifting, are at risk of full automation. Instead, AI is expected to support operations, particularly in planning and design, rather than replace core field activities.

At the same time, the sector faces a significant demographic shift. By 2031, approximately 41 percent of the current workforce will need to be replaced due to retirements. This comes as demand for specialised skills continues to rise across infrastructure, offshore wind and mining projects.

The contrast is clear: while AI poses minimal threat to jobs, the real challenge lies in finding enough qualified workers to sustain growth. Companies must therefore accelerate recruitment and training efforts to bridge the widening gap between supply and demand.

As the industry evolves, human expertise will remain central, with technology acting as an enabler rather than a substitute. The ability to attract and develop talent will ultimately determine whether the sector can fully capitalise on its projected growth trajectory.