The list of jobs most at risk from artificial intelligence is surprising, as it doesn’t start with industrial robots, but rather with translators, writers, historians, call center agents, consultants, and other professionals who make their living through language

The list of jobs most at risk from artificial intelligence is surprising, as it doesn’t start with industrial robots, but rather with translators, writers, historians, call center agents, consultants, and other professionals who make their living through language

The list of jobs most at risk from artificial intelligence is surprising, as it doesn’t start with industrial robots, but rather with translators, writers, historians, call center agents, consultants, and other professionals who make their living through language

https://okdiario.com/techy/en/the-list-of-jobs-most-at-risk-from-artificial-intelligence-is-surprising-as-it-doesnt-start-with-industrial-robots-but-rather-with-translators-writers-historians-call-center-agents-consultants-and-ot/5900/

Publish Date: 2026-07-03 16:45:00

Source Domain: okdiario.com

  • Artificial intelligence (AI) is already impacting many aspects of white-collar work such as writing, summarizing, and retrieving information.
  • Certain professions are at higher risk of disruption due to their dependence on tasks that AI can efficiently handle, such as language use, information gathering, and problem-solving.
  • The occupations most vulnerable to AI include interpreters, writers, customer service representatives, and data scientists, among others.
  • Higher education does not fully insulate workers from AI disruption; tasks associated with digital tools and data-heavy jobs are particularly susceptible.
  • While AI could lead to significant shifts in the workforce by 2030, its impact on employment depends on business choices and not just technical capabilities.
  • Physical, hands-on jobs are less exposed to AI at present due to the necessity for human skills like spatial awareness and real-world judgment.
  • Global studies suggest a substantial number of workers—ranging from 75 million to 375 million—could need to transition to different occupational categories due to AI integration, especially in high-income countries.
  • The future worker should focus on enhancing their abilities to manage and leverage AI, rather than worrying about potential job loss.