AI advancements could put more blue-collar jobs at risk.

As technology advances, many are wondering how it will affect blue-collar and physical labor jobs. Goldman Sachs analysis estimates that 300 million full-time jobs could be exposed to automation due to the rapid advancement of generative artificial intelligence in the manufacturing industry. This could have a major impact on those positions, such as factory workers, welders, nuclear technicians, elevator installers, and subway operators.

Businesses should take the initiative to mitigate these risks. Gen AI models can act as a “digital twin” for a production line or plant and reduce operation costs. Additionally, AI-powered machines can work 24/7 and are designed to reduce human errors in manufacturing, leading to higher production rates and improved product quality control. AI algorithms are also used to optimize delivery routes, reduce transportation costs, and improve supply chain management.

On the other hand, David Autor found that 60% of today’s workers are employed in occupations that didn’t exist in 1940. This shows that technology-driven creation of new positions has played a major role in employment growth over the last 80 years.

Mike Rowe, the host of “Dirty Jobs” and “How America Works,” previously said that those who master a skill that’s in demand tend to find prosperity. This suggests that even if some blue-collar jobs become automated, there will be new occupations that will emerge in the future.

AI is being used in various ways to enhance safety measures and increase productivity in blue-collar jobs. From drones performing site inspections and hazardous tasks to AI-powered robots sorting, picking, packing, and organizing inventory, AI is having a major impact on the workforce. Although businesses should consider the potential displacement of workers, they should also be aware of the potential opportunities that can arise due to the integration of AI in blue-collar jobs.

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