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The Rise of AI and Job Exposure: Which Occupations are Most Affected?

Cock-a-doodle-doo! Listen up, feathered friends! OpenAI, the masterminds behind yours truly, ChatGPT, have clucked out some interesting findings about how AI is impacting jobs. Using their new GPT-4 language model and good ol’ human expertise, they’ve found that about 80% of workers in the US could see at least 10% of their work tasks affected by AI. That’s nothing to crow about!

According to a report by the World Economic Forum, the adoption of AI could lead to the displacement of 75 million jobs by 2022. The report also highlights that automation and AI are expected to create 133 million new roles globally over the same period, meaning that the net impact of these technologies on employment remains uncertain.

However, the researchers were quick to note that this isn’t a prediction, just a measurement of “exposure” to AI. They wanted to see if access to a GPT-powered system could reduce the time it takes for a human to complete a work task by 50%. Around 19% of workers could see at least half of their tasks impacted by these Generative Pre-trained Transformers.

So, which jobs are most exposed to these technological turkeys? Well, the humans and the AI model had different opinions. The language model said 86 jobs were “fully exposed,” meaning GPTs could save workers a lot of time completing a large share of their tasks. The humans only identified 15 occupations as fully exposed. The math whizzes, tax preparers, financial quantitative analysts, writers and authors, and web and digital interface designers made both lists. I guess they’re the real cluckers!

The 86 jobs that were identified as “fully exposed” by the language model in the study by OpenAI are:

  1. Accountants and Auditors
  2. Actors, Producers, and Directors
  3. Administrative Jobs Managers
  4. Advertising and Promotions Managers
  5. Aerospace Engineers
  6. Agricultural and Food Scientists
  7. Aircraft Mechanics and Job Technicians
  8. Anthropologists and Archeologists
  9. Architects, Except Landscape and Naval
  10. Archivists, Curators, and Museum Workers
  11. Art Directors
  12. Atmospheric and Space Scientists
  13. Audio and Video Equipment Technicians
  14. Biological Technicians
  15. Broadcast and Sound Engineering Technicians and Radio Operators
  16. Business Operations Specialists, All Other
  17. Camera Operators, Television, Video, and Motion Picture
  18. Cartographers and Photogrammetrists
  19. Chemical Technicians
  20. Chemists
  21. Civil Engineers
  22. Clinical Data Managers
  23. Clinical, Counseling, and School Psychologists
  24. Coaches and Scouts
  25. Computer and Information Research Scientists
  26. Computer Hardware Engineers
  27. Computer Network Architects
  28. Computer Programmers
  29. Computer Systems Analysts
  30. Computer User Support Specialists
  31. Construction and Building Inspectors
  32. Costume Attendants
  33. Court Reporters and Simultaneous Captioners
  34. Database Administrators
  35. Dental Hygienists
  36. Diagnostic Medical Sonographers
  37. Dietitians and Nutritionists
  38. Electrical and Electronics Drafters
  39. Electrical and Electronics Engineers
  40. Electrical and Electronics Installers and Repairers, Transportation Equipment
  41. Electrical and Electronics Repairers, Commercial and Industrial Equipment
  42. Electrical and Electronics Repairers, Powerhouse, Substation, and Relay
  43. Electrical Power-Line Installers and Repairers
  44. Electrical, Electronics, and Electromechanical Assemblers
  45. Electro-Mechanical Technicians
  46. Electronics Engineers, Except Computer
  47. Elementary School Teachers, Except Special Education
  48. Environmental Engineers
  49. Environmental Scientists and Specialists, Including Health
  50. Epidemiologists
  51. Event Planners
  52. Film and Video Editors
  53. Financial Analysts
  54. Financial Examiners
  55. Financial Managers
  56. Financial Quantitative Analysts
  57. Financial Specialists, All Other
  58. Firefighters
  59. Fish and Game Wardens
  60. Flight Attendants
  61. Food Job Managers
  62. Forensic Science Technicians
  63. General and Operations Managers
  64. Geographers
  65. Geological and Petroleum Technicians
  66. Geological and Geophysical Engineers, Including Mining Safety Engineers
  67. Graphic Designers
  68. Healthcare Social Workers
  69. Health Diagnosing and Treating Practitioners, All Other
  70. Health Specialties Teachers, Postsecondary
  71. Historians
  72. Human Resources Managers
  73. Industrial Engineers
  74. Industrial Machinery Mechanics
  75. Information Security Analysts
  76. Information Technology Project Managers
  77. Instructional Coordinators
  78. Insurance Underwriters
  79. Interpreters and Translators
  80. Judges, Magistrate Judges, and Magistrates
  81. Landscape Architects
  82. Legal Secretaries and Administrative Assistants
  83. Life Scientists, All Other
  84. Market Research Analysts and Marketing Specialists
  85. Mathematicians
  86. Medical and Clinical Laboratory Technicians

The language model identified these jobs as fully exposed because they estimated that GPTs could save workers “a significant amount of time completing a large share of their tasks”. However, it’s important to note that fully exposed doesn’t mean the tasks

Some other high percentage occupations listed by the humans included survey researchers, interpreters and translators, public relations specialists, and animal scientists. The language model found accountants and auditors, news analysts, reporters, and journalists, legal secretaries and administrative assistants, clinical data managers, and climate change policy analysts to be fully exposed. They also identified correspondence clerks, blockchain engineers, court reporters and simultaneous captioners, and proofreaders and copy markers as more than 90% exposed.

What does this mean for workers? Well, according to the study, GPTs could reduce the time spent on certain work tasks, which could lead to increased productivity and efficiency. However, it could also lead to job displacement and a need for workers to adapt to new roles and skill sets.

The rise of automation and AI has been a topic of discussion for some time, with experts weighing in on the potential impacts. “The age of AI is here, and we need to prepare for the future of work,” says Dr. Murli Buluswar, Chief Science Officer at AIG. “There will be significant changes to the job market, and we need to ensure that workers are equipped with the skills and knowledge necessary to thrive in this new landscape.”

Some industries have already been significantly impacted by automation and AI. For example, the manufacturing industry has seen the widespread adoption of robots and other automated systems, leading to the displacement of many jobs. The healthcare industry is also seeing the rise of AI-powered systems for tasks such as diagnosis and treatment planning.

However, not everyone is convinced that AI will lead to job displacement. “AI is not a job killer,” says Mike Rhodin, former senior vice president of IBM’s Watson Group. “It will create new roles and opportunities that we haven’t even thought of yet.”

Despite the potential benefits of AI, there are concerns around job displacement and the need for workers to adapt to new roles and skill sets. The study by OpenAI highlights the need for workers to stay informed about the potential impacts of automation and AI on their industries and job roles.

In conclusion, while AI and automation present opportunities for increased productivity and efficiency, they also have the potential to disrupt the job market and displace workers. It is crucial for workers and industries to stay informed about the potential impacts of AI and prepare for the future of work.

As AI technology continues to advance, it is important to consider the ethical implications of its use. “The development of AI raises important ethical questions about privacy, fairness, and bias,” says Dr. Anthony Scriffignano, Chief Data Scientist at Dun & Bradstreet. “It is important for companies to consider the ethical implications of their use of AI and ensure that these technologies are used in a responsible and ethical manner.”

The study by OpenAI is just one example of the ongoing conversation around the impact of AI on the job market. As the technology continues to evolve and become more ubiquitous, it is crucial for workers and industries to adapt and prepare for the changes ahead.

But let’s not forget, us roosters will always be in high demand! Our natural intelligence and charm can never be replaced by a machine. Cock-a-doodle-doo!


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