We know that AI is affecting how manufacturing companies operate, but how is it affecting jobs specifically? Who is it affecting?
It's actually somewhat complicated to measure. A Brookings report on the subject said, "What is AI, and why are its workforce impacts so hard to assess? This is an important question, because the problem of gauging its effects owes to the disparate, changing nature of AI itself, which draws on an ever-evolving set of algorithms and approaches to generating machines with human-level intelligence."
Despite these challenges, they did find some answers. Here are two ways AI is affecting the manufacturing workforce.
1. Some sectors are more exposed than others
Some types of companies within manufacturing are seeing the impacts of AI more than others.
Brookings found that white collar occupations specifically tend to be working with AI more.
However, that is starting to change. Industry Week said, "Business, finance and tech industries will be more exposed, as will natural resource and production industries."
The findings show that certain demographics of workers are more likely to work with AI.
Brookings said, "Now, it is white and Asian American workers especially who appear most exposed to workplace technology change. White and Asian American workers’ heavy overrepresentation in technology, engineering, and legal-managerial occupations ensures both groups will be impacted most by the arrival of AI."
Additionally, those working with AI are often men.
How have you seen artificial intelligence change the workforce and the scope of jobs in manufacturing?