New Report: A.I. “could lead to the automation of a quarter of the work done in the US and Eurozone”

By B.N. Frank

While much attention is being paid to artificial intelligence (A.I.) technologies being susceptible to inaccuracies, biases, high costs, and safety risks (see 1, 2, 3, 4, 5, 6, 7), it has also already eliminated many human jobs with more on the way.

From Ars Technica:

Generative AI set to affect 300 million jobs across major economies

Technology could boost global GDP by 7% but also risks creating “significant disruption.”

Delphine Strauss, Financial Times

The latest breakthroughs in artificial intelligence could lead to the automation of a quarter of the work done in the US and eurozone, according to research by Goldman Sachs.

The investment bank said on Monday that “generative” AI systems such as ChatGPT, which can create content that is indistinguishable from human output, could spark a productivity boom that would eventually raise annual global gross domestic product by 7 percent over a 10-year period.

But if the technology lived up to its promise, it would also bring “significant disruption” to the labor market, exposing the equivalent of 300 million full-time workers across big economies to automation, according to Joseph Briggs and Devesh Kodnani, the paper’s authors. Lawyers and administrative staff would be among those at greatest risk of becoming redundant.

They calculate that roughly two-thirds of jobs in the US and Europe are exposed to some degree of AI automation, based on data on the tasks typically performed in thousands of occupations.

Most people would see less than half of their workload automated and would probably continue in their jobs, with some of their time freed up for more productive activities.

In the US, this should apply to 63 percent of the workforce, they calculated. A further 30 percent working in physical or outdoor jobs would be unaffected, although their work might be susceptible to other forms of automation.

But about 7 percent of US workers are in jobs where at least half of their tasks could be done by generative AI and are vulnerable to replacement.

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