- One in two executives say they are 10% to 19% oversubscribed.
- Half say they could exceed their capacity by between 30% and 50% in three years
- Amazon is already looking to make AI-induced reductions
New research claims to show how artificial intelligence could be responsible for significant job losses in major organizations globally, based on current estimates.
Already at today’s early standards of automation and launch of AI tools, half of global executives surveyed in a new BearingPoint study say their workforce is 10% to 19% above capacity, indicating an imminent need to reduce headcount.
Back-office operations, customer service, and core finance and human resources functions are among those most likely to be affected, BearingPoint found, as AI is capable of autonomously handling routine and administrative workloads.
AI could be responsible for widespread job losses
Looking ahead, AI-driven productivity gains could create even greater excess capacity, reducing demand for many types of jobs. Within three years, all companies surveyed plan to have at least 10% more capacity, with almost half (45%) suggesting they could have between 30% and 50% more capacity.
Meanwhile, organizations are busy rethinking what jobs look like, moving from traditional human roles to collaborative human-AI models, where AI improves human output but frees up more creative and productive time.
At the same time, companies must be at the forefront of balancing these declining legacy roles with the growing demand for AI skills, implementing upskilling programs to support today’s workforce.
Amazon CEO Andy Jassy has already stated that AI agents will mean “fewer people [will be] doing some of the work that is done today.”
Despite recognizing that “more people [will be] doing other types of jobs,” Jassy predicts an overall reduction of the corporate workforce in the coming years.
Although projections differ due to the large number of variables, this report comes at a similar time to an MIT study, which suggests that about 12% of American jobs could be at risk of displacement.
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