‘Godfather of AI’ warns of mass joblessness for white-collar workers, here is what he said

Hinton elaborated that AI systems are progressively demonstrating enhanced capabilities in executing routine cognitive tasks, which are typically associated with white-collar jobs

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Dohmke cites estimates that AI could be capable of writing up to 90 per cent of all code within the next two to five years.

The ever-growing concerns of AI displacing jobs raise questions on the technology’s adaptability. While some tech gurus assure that AI is of great help as a tool and will only assist humans in the future, others keep warning about its rapid acceptance. Geoffrey Hinton, widely acknowledged as the ‘Godfather of AI’ for his foundational contributions to neural networks, has issued a significant cautionary statement concerning the potential for widespread employment displacement among white-collar professionals due to AI. 

During a recent interview on the ‘Diary of a CEO’ podcast, Hinton posited that AI could imminently render a major proportion of these jobs redundant, potentially leading to what he characterized as ‘mass joblessness.’

Hinton elaborated that AI systems are progressively demonstrating enhanced capabilities in executing routine cognitive tasks, which are typically associated with white-collar jobs, particularly those requiring a lesser creativity. He specifically identified professions such as paralegals and customer service representatives as being highly susceptible to automation, noting the increasing pace at which these roles are being streamlined by evolving AI systems.

While acknowledging that AI might serve as an assistive technology in certain employment contexts, Hinton underscored that even such integration is likely to reduce workforce numbers. He suggested that the intellectual nature of the tasks undergoing automation could result in a limited scope for new, meaningful human roles. 

Hinton emphasised that the displacement of entry-level jobs by AI is already in trend. However, he suggested that sectors characterised by high service demand, such as healthcare, may be comparatively better at tackling AI roles, owing to the consistent need for human interaction and expertise.

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This article was first uploaded on June seventeen, twenty twenty-five, at twenty-three minutes past four in the afternoon.
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