As many as 300 million full-time jobs around the world could be automated in some way by the newest wave of artificial intelligence that has spawned platforms like ChatGPT, according to Goldman Sachs economists.
They predicted in a report Sunday that 18% of work globally could be computerized, with the effects felt more deeply in advanced economies than emerging markets.
That’s partly because white-collar workers are seen to be more at risk than manual labourers. Administrative workers and lawyers are expected to be most affected, the economists said, compared to the “little effect” seen on physically demanding or outdoor occupations, such as construction and repair work.
If generative artificial intelligence “delivers on its promised capabilities, the labour market could face significant disruption,” the economists wrote. The term refers to the technology behind ChatGPT, the chatbot sensation that has taken the world by storm.
The way we work is about to change
ChatGPT, which can answer prompts and write essays, has already prompted many businesses to rethink how people should work every day.
This month, its developer unveiled the latest version of the software behind the bot, GPT-4. The platform has quickly impressed early users with its ability to simplify coding, rapidly create a website from a simple sketch and pass exams with high marks.
Further use of such AI will likely lead to job losses, the Goldman Sachs economists wrote. But they noted that technological innovation that initially displaces workers has historically also created employment growth over the long haul.
While workplaces may shift, widespread adoption of AI could ultimately increase labour productivity — and boost global GDP by 7% annually over a 10-year period, according to Goldman Sachs.
“Although the impact of AI on the labour market is likely to be significant, most jobs and industries are only partially exposed to automation and are thus more likely to be complemented rather than substituted by AI,” the economists added.
“Most workers are employed in occupations that are partially exposed to AI automation and, following AI adoption, will likely apply at least some of their freed-up capacity toward productive activities that increase output.”
Of US workers expected to be affected, for instance, 25% to 50% of their workload “can be replaced,” the researchers added.
“The combination of significant labour cost savings, new job creation, and a productivity boost for non-displaced workers raises the possibility of a labour productivity boom like those that followed the emergence of earlier general-purpose technologies like the electric motor and personal computer.”
