Describe the social and ethical issues raised by automated manufacturing systems, including the changing nature of work, retraining, safety and the environment, and emerging trends such as additive manufacturing and smart factories

What this dot point is asking

NESA wants you to describe the social, ethical and economic issues that automated manufacturing raises, and the current and emerging trends in the field. The strongest answers weigh both the benefits (productivity, consistency, safety in dangerous tasks) and the costs (job displacement, deskilling, capital cost), rather than listing one side.

The answer

The changing nature of work

Automation removes many repetitive, manual production jobs, and this displacement is the central social issue. At the same time it creates new roles, in programming machines, maintaining robots, analysing production data and supervising the system, but these are fewer and demand higher skills. The result is not simply fewer jobs but different jobs, concentrated in technical work, which can leave displaced workers behind unless they are retrained.

Retraining and skills

Because the work shifts toward technical and supervisory roles, retraining is essential, both for individuals and for the economy. Workers whose manual tasks are automated need new skills to move into the roles automation creates, and organisations and governments face the question of who funds and provides that training. Without it, automation widens the gap between those with technical skills and those without.

Safety

Automation improves safety by removing people from dangerous, repetitive or hazardous tasks such as heavy lifting, working with toxic materials or operating in extreme conditions. But powerful automated machinery introduces its own hazards: a robot arm or CNC machine can injure anyone in its path. So automated plants need physical guarding, emergency stops, sensors that detect people and clear safety procedures, shifting risk rather than removing it entirely.

Environmental impact

Automated manufacturing affects the environment in both directions. Continuous operation and powerful machinery consume significant energy, and electronic equipment eventually becomes waste. But automation's precision can cut material waste, optimise energy use and enable cleaner processes, and additive methods build parts by adding only the material needed rather than cutting away from a block. The net impact depends on how the system is designed and run.

Economic considerations

Automation raises productivity, runs continuously, and delivers consistent quality with fewer errors, lowering unit costs over time. Against this is a high upfront capital cost for machinery, software and integration, plus ongoing maintenance and the risk that expensive equipment becomes obsolete. The decision to automate weighs these long term savings against the heavy initial investment.

Emerging trends

Current and emerging trends include additive manufacturing (3D printing) that builds parts layer by layer with little waste and great design freedom; collaborative robots (cobots) designed to work safely alongside people; the industrial internet of things, where connected sensors stream production data for analysis; and smart factories that use that data and machine learning to monitor, predict and self-optimise production. These trends push automation toward greater flexibility, connection and intelligence.