Fully remote workers are at the highest risk of being replaced by AI, a Stanford professor says

Key Points:

  • The increasing influence of AI in the workforce poses a risk to fully remote and repetitive roles, with the potential to replace these jobs within the next five to ten years.
  • Hybrid workers, who are required to split their time between working from the office and remotely, may benefit from AI, potentially boosting their productivity rather than posing a threat to their job security.
  • The impact of AI on the workforce is expected to primarily affect white-collar workers in roles such as computer hardware engineering, paralegal work, accounting, and auditing, while physical labor jobs requiring unpredictable environments are considered less susceptible to AI replacement in the near future.

Summary:

The advancement of artificial intelligence (AI) is posing significant challenges and opportunities for the workforce, particularly for remote and hybrid workers. Nicholas Bloom, an economics professor at Stanford University, warns that fully remote roles, especially those that are repetitive and don’t require in-person interaction, are at the highest risk of being replaced by AI.

 

Bloom’s latest research indicates that 10% of the American and Northern European workforce comprises fully remote workers. However, he also highlights the potential for AI to enhance the productivity of hybrid workers, who represent 30% of the workforce. The ongoing debate revolves around the extent to which AI can automate various job functions, with generative tools such as OpenAI’s ChatGPT being increasingly influential.

 

Goldman Sachs predicts that AI tools could impact up to 300 million full-time jobs worldwide, primarily affecting white-collar workers. Roles such as computer hardware engineers, paralegals, accountants, and auditors are identified as the most vulnerable to AI disruption. In contrast, jobs requiring physical labor and specialized skills, such as repair services, hospitality, agriculture, and healthcare, are deemed to be less susceptible to AI replacement.

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