AI’s Impact: Jobs at Risk and Safe Professions

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  • A Microsoft study identifies 40 professions likely to be automated by AI and 40 less vulnerable roles.
  • This analysis, based on ChatGPT/Copilot interactions, sheds light on the evolving job market.
  • It suggests AI will largely affect text- and communication-heavy roles, while hands-on professions remain safer.

Professions Facing Automation

Microsoft’s research, which analyzed over 200,000 interactions with AI systems like ChatGPT/Copilot, pinpoints professions highly susceptible to automation. These roles often involve text processing, oral communication, and summarizing extensive information, areas where AI currently excels. Translators, customer support specialists, authors, journalists, and data scientists are among the 40 professions identified as potentially being largely or entirely performed by artificial intelligence in the near future.

The list also includes roles such as telemarketers, statisticians, web developers, and management analysts, highlighting a broad impact across various sectors. Furthermore, professions like political scientists, historians, and advertising agents are also deemed vulnerable. This suggests that occupations relying heavily on information analysis and synthesis face significant transformation.

40 professions that may disappear due to AI

  1. Translators and interpreters
  2. Historians
  3. Flight attendants and tourist guides
  4. Sales representatives in the service sector
  5. Authors and writers
  6. Customer support workers
  7. CNC machine programmers
  8. Telephone operators
  9. Ticket collectors, railway/airline workers
  10. Radio presenters and announcers
  11. Brokerage clerks
  12. Home economics and farming courses
  13. Telemarketers
  14. Concierges
  15. Political scientists/political analysts
  16. News analysts, journalists, reporters
  17. Mathematicians
  18. Technical writers
  19. Proofreaders and text layout designers
  20. Support staff
  21. Editors
  22. Teachers of business disciplines at universities
  23. PR specialists
  24. Product demonstrators and promoters
  25. Advertising agents
  26. New account managers
  27. Statistical assistants
  28. Rental and hire managers
  29. Data Scientists
  30. Personal financial advisors
  31. Archivists
  32. University level economic teachers
  33. Web developers
  34. Management analysts
  35. Geographers
  36. Modellers
  37. Market analysts
  38. Employees of emergency services (operators)
  39. Switchboard operators
  40. Teachers of library science at the university level

Professions Less Vulnerable to AI

Conversely, the study identifies 40 professions considered least susceptible to AI automation. These roles typically demand physical dexterity, involve unpredictable situations, or necessitate complex interpersonal interactions that current AI systems cannot replicate. Examples include excavators, bridge builders, nurses, and roofers. Occupations such as massage therapists, surgeons’ assistants, and various medical support roles also fall into this category.

Additionally, jobs like divers, embalmers, and hazardous waste disposal workers require specific physical engagement in environments difficult for robots to navigate. This group emphasizes the enduring value of human capabilities in manual labor, healthcare, and situations requiring adaptive problem-solving.

Implications for the Workforce

The study underscores a clear trend: AI poses a greater challenge to office, creative, and administrative roles, but a lesser one to professions requiring physical work or direct healthcare. Microsoft emphasizes that AI’s primary purpose is to support human endeavors, not to completely replace them. However, the report cautions that individuals who do not adapt to modern AI tools risk being displaced. While AI’s influence on programming is significant, industry leaders believe a complete displacement of human programmers is not imminent, as complex tasks still benefit from human expertise.

40 professions considered to be the least vulnerable to AI

  1. Excavators
  2. Bridge and overpass builders
  3. Employees of water purification systems of water supply
  4. Manufacturers of casting moulds
  5. Layers of railway tracks and equipment
  6. Operators of pole setters
  7. Grinders and surface finishers
  8. Nurses and nursing assistants
  9. Motor boat captains
  10. Operators of logging equipment
  11. Workers in paving, coating and tamping
  12. Cleaners and housekeepers
  13. Workers at oil/gas facilities
  14. Roofers
  15. Compressor station operators
  16. Roofers’ assistants
  17. Tyre fitters
  18. Surgeon’s assistants
  19. Massage therapists
  20. Ophthalmologists and their assistants
  21. Operators of industrial tractors and trucks
  22. Chiefs of firefighters’ guards
  23. Workers with cement and concrete
  24. Dishwashers
  25. Agronomists
  26. Packers and operators of packaging machines
  27. Medical assistants
  28. Road workers
  29. Production assistants
  30. Periodontists and dental hygienists
  31. Repairmen
  32. Marine workers and engineers
  33. Car glass installers
  34. Oral and maxillofacial surgeons
  35. Farmers and farm equipment operators
  36. Divers
  37. Embalmers
  38. Painters and plasterers
  39. Hazardous waste disposal workers
  40. Vascular surgeons

The findings suggest that employees in high-risk areas should cultivate skills in interacting with AI. Mastering tools like Copilot, formulating effective prompts, and efficiently utilizing AI-generated data will be crucial. The labor market rules have undeniably shifted, making it essential to embrace AI rather than resist it. Leveraging AI’s power can accelerate work, reduce costs, facilitate more complex projects, and enhance the management of automated processes.

Broader Context: The Evolution of Human-AI Collaboration

It’s worth noting that the discussions around AI’s impact on employment often overlook the emergence of entirely new job categories that arise from technological advancements. Historically, new technologies have always reshaped the job market, creating roles that were previously unimaginable.

For instance, the rise of AI is already fostering demand for AI trainers, prompt engineers, and AI ethicists—roles centered on guiding, refining, and overseeing AI systems. This ongoing evolution suggests that while some jobs may disappear, others will emerge, transforming the nature of work rather than simply reducing it. The focus shifts from merely performing tasks to managing and collaborating with intelligent machines.


 

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