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News » DeepMind co-founder predicts end of remote work in cognitive job shift

DeepMind co-founder predicts end of remote work in cognitive job shift

DeepMind co-founder predicts end of remote work in cognitive job shift

LONDON, ENGLAND — In a striking forecast for the global workforce, the artificial general intelligence (AGI) may dismantle the remote work revolution, making purely cognitive, computer-based jobs obsolete, warns Shane Legg, co-founder of Google’s AI research unit DeepMind.

AI threatens remote work revolution, DeepMind warns

In an interview with Hannah Fry, an Associate Professor, Legg argues that the development of AI will have a higher impact on employment involving digital cognitive abilities, which are mostly done remotely. He singled out roles, saying, “Jobs that are purely cognitive and done remotely via a computer are particularly vulnerable.”

These involve language, knowledge, coding, mathematics, and complex problem-solving, where AI systems are already performing better than humans in certain tasks and are likely to improve in reasoning and visual interpretation. 

This shift will directly impact team structures and employment numbers, especially for entry-level positions. Legg provided the example of software engineering, where he suggested advanced AI could enable a team of just 20 engineers to achieve what currently requires 100. 

This efficiency gain, while boosting productivity, points to a significant reduction in overall roles, with distributed and remote teams likely being reduced as companies consolidate their human workforce alongside powerful AI tools.

Legg notes, “Over a few years, we’ll see AI going from kind of just a, sort of a, a useful tool to being, to doing really meaningful, productive work.”

Cognitive jobs face mass AI displacement

According to Financial Express, digital-heavy occupations are bound to be replaced soon. Still, Legg observed that in physical work, such as plumbing or construction, it might take longer to replace hands-on, dextrous tasks with robots, as these tasks are inherently more challenging to automate. 

“I think there are kinds of work, which is not purely cognitive, that will be relatively protected from some of the stuff,” he said.

This disproportionate effect reveals an important trend for the future: the character of your work will determine how easily workers can be replaced by AI, which may change the nature of career advice and economic planning. 

Legg notes, “I do believe that if we can harness this capability, this could be a real golden age.”

Still, he cautions that AI being more intelligent than humans in the field of cognition poses a threat to the existing economic system, in which mental work is sold for profit. Consequently, Legg emphasizes that the imperative is to develop systems for equitable wealth distribution to ensure societal stability and purpose as these accelerating changes redefine the concept of work itself.

Thus, the very digitalization that enabled the remote work era may now precipitate its decline, setting the stage for a profound socioeconomic pivot where unprecedented productivity collides with the urgent imperative to redefine value and equity beyond the sale of cognitive labor.

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