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  • Tech Journalist

AI will replace 2.4 million US jobs by 2030 new Forrester Report says

According to new research released by technology company, Forrester, 2.4 million US jobs will be lost to AI by 2030. The new study follows up on a similar one conducted by Goldman Sachs that forecasted the loss of 300 million full-time jobs lost to AI.

High-paying jobs over $90,000 are at the most risk with the new study concluding that 78% of legal jobs may disappear by 2023 along with 61% of science jobs and 57% of administration roles. These types of jobs involve tasks AI can learn to do like research, paperwork, and following rules. On the other hand, low-paying jobs like construction were deemed to be safe as AI couldn't do their physical work.

Additionally, the research noted that creative jobs like writing are less at risk of fully vanishing because their skills are harder for AI to copy. Forrester predicts artists will keep their jobs but AI tools may change how they work over time. The research predicts that by the end of 2023, AI will have reshaped as much as 11 million jobs, rather than stamp them out altogether.

Following the study, Forrester has warned that losing many good jobs could herald significant social challenges, similar to the Rust Belt days in the past, postindustrial. But it’s not all groom. The report says that AI may also fill some of the gaps in the frontline industry workplace that have been there since the pandemic.

To avoid problems, Forrester advises companies to "invest in the robot quotient". This measures how ready teams are for machines. It helps focus on the areas AI helps most.

Companies should "prioritize augmentation", making jobs better with AI instead of replacing workers. Figuring out which jobs benefit most ensures skill and quality are kept.

One expert said, "Identifying which jobs will benefit the most will ensure that experience and precision don't get lost in your transformation efforts." Hiring people with AI skills can fill the gaps machines cannot. Doing this right avoids risks to performance, employees, and security.


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