The student’s initial claim was: “AI will take a large share of jobs in America by 2035”. In the description, they point out an important statistic sharing, “generative AI — could handle up to 30% of current work hours by 2030.” If true, this would take up a significant portion of today’s jobs in the next 5 years. The information supporting this claim comes from McKinsey, a managing and consulting company for operations in organizations. When digging deeper in the article, I found that the “30%” claim was stated and true, meaning McKinsey estimates a third of jobs to be taken or assisted by AI. This would require tons of human labor adaptation, meaning many will undergo several career changes in the next couple of years. An article from MIT’s Management School adds a different perspective affirming, “‘Unemployment is a health hazard,’ said Kelly. ‘We have known that since the 1920s.’ Job instability can lead to stress, anxiety, and lower productivity, ultimately harming both workers and businesses.” This point of view shares that this issue goes beyond the AI job crisis and should worry many in the next five to ten years.
McKinsey conducted their own study, surveying executives who reported rising demand in technological and cognitive skills. What they found is that “Advanced IT”, “Leadership”, and “Creativity” are among the fastest growing skills today. What I found most interesting in this graph is how a good amount of the skills growing are either social or technological. I assume so much has changed since this study was conducted and written in 2024.
https://www.mckinsey.com/mgi/our-research/a-new-future-of-work-the-race-to-deploy-ai-and-raise-skills-in-europe-and-beyond?
Because McKinsey is a business focused consulting firm, they may look at AI through a more positive lens. They may have some bias towards increased productivity and opportunities for companies to grow. This has the ability to shift focus from the population in search of jobs and instead highlights the companies in charge of hiring due to the changes.
6. What evidence supports the claim you are fact-checking?
“By 2030, in a midpoint adoption scenario, up to 30 percent of current hours worked could be automated, accelerated by generative AI (gen AI).”
“By 2030, Europe could require up to 12 million occupational transitions, double the prepandemic pace.”
https://www.mckinsey.com/mgi/our-research/a-new-future-of-work-the-race-to-deploy-ai-and-raise-skills-in-europe-and-beyond?
6. What evidence undermines the claim you are fact-checking?
“Choices made today could revive productivity growth while creating better societal outcomes.”
“Demand for healthcare and STEM roles could grow, while demand for office support and customer service roles could decline.”
https://www.mckinsey.com/mgi/our-research/a-new-future-of-work-the-race-to-deploy-ai-and-raise-skills-in-europe-and-beyond?