Trend The secondary sector keeps growing but raises its skill barrier to entry
Summary
This trend describes manufacturing, construction and logistics continuing to add jobs while demanding higher skills from new entrants. AI is spreading across the secondary sector, from supply chain management and predictive maintenance to defect detection on assembly lines and design optimisation. The report expects employment in these industries to keep growing worldwide, but simpler, repetitive and low-skill work is likely to be automated first. That raises the skill threshold for entering the sector. Disruption is expected to be greatest in developed economies with extensive digital infrastructure. Skilled workers are unlikely to be replaced, and new roles such as AI engineers and technicians should emerge, but low-skill workers risk being pushed out.
Classification
Evidence 2
- The impact of Artificial Intelligence on our societies European Commission, Directorate-General for Research and Innovation (Directorate D - People: Health and Society, Unit D3 - Health and Societal Transitions); edited by Ewa Luger and Marianthe Stavridou page=39;section=3.9.1.2 The Secondary Sector 2026 accessed 2026-07-26
- The impact of Artificial Intelligence on our societies European Commission, Directorate-General for Research and Innovation (Directorate D - People: Health and Society, Unit D3 - Health and Societal Transitions); edited by Ewa Luger and Marianthe Stavridou page=39;section=3.9.1.2 The Secondary Sector 2026 accessed 2026-07-26
Observed signals 4
- SignalAn estimate that 38 to 45 percent of current construction jobs will be handled by AI by 2030
- SignalApple Expands Vietnam Supply-Chain Worker Education Program
- SignalCEDEFOP forecasts negative EU27 employment growth for clerical, trades and manufacturing workers to 2035
- SignalIndia/Southeast Asia Manufacturing Skills Shortage 2026 — From Skills Gaps to Growth
Part of issues 1
- IssueThe recommendations assume AI will not create jobs fast enough to offset the ones it removes1 trends · 0 signals
Relation types: constitutes · supports
Public id: fm-24c8f2c683d5
