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New research has listed a “top 20” of human occupations facing competition from Artificial Intelligence systems.
A report by researchers from Princeton, the University of Pennsylvania, and NYU has incorporated LLM (Large Language Model) natural language generative systems like ChatGPT in new assessments, to come up with the list.
Telemarketing earned the number one spot as an occupation that could face pressure from AI.
But the widest impact in the new assessment appeared to be in the teaching sector, especially at the post-secondary level.
From “How will Language Modelers like ChatGPT Affect Occupations and Industries?” 18 Mar 2023
The above table contains lists of occupations from both a previous assessment, and a new assessment incorporating natural language AI generation technologies.
The authors noted:
“We find that the top occupations exposed to language modeling include telemarketers and a variety of post-secondary teachers such as English language and literature, foreign language and literature, and history teachers. We find the top industries exposed to advances in language modeling are legal services and securities, commodities, and investments.”
The researchers used a methodology called AI Occupational Exposure (AIOE), to analyze various occupations and industries, to ascertain possible impacts from fast-developing AI systems.
AIOE was pioneered by one of the report’s authors, Ed Felton, Director of the Center for Information Technology Policy, and Professor of
Computer Science and Public Affairs, Princeton University.
According to the report, AIOE is determined from computations and analysis that links several data sets related to AI and human occupation metrics, including:
“by linking 10 AI applications (abstract strategy games, realtime video games, image recognition, visual question answering, image generation, reading comprehension, language modeling, translation, speech recognition, and instrumental track recognition) to 52 human abilities (e.g., oral comprehension, oral expression, inductive reasoning, arm-hand steadiness, etc) using a crowd-sourced matrix that indicates the level of relatedness between each AI application and human ability.”
Data on the AI applications comes from the Electronic Frontier Foundation (EFF), while data on human abilities is sourced from the U.S. Dept. of Labor.
The authors say their analysis may help in providing “a systematic approach for understanding how ChatGPT and other language modelers will affect occupations, industries and geographies. We believe these results will be useful for other scholars as well as practitioners and policymakers.”
Reporters, Mental Health Counselor and Clergy Too?
A report appendix lists over 770 occupations, ranked according to the level of impact they face from AI.
Occupations which fall within the top 10 percent of those facing impacts, include Mental Health Counselors (31), Historians (39), Reporters and Correspondents (45), Clergy (46), Lawyers (50), Insurance Sales Agents (58) and Psychiatrists (69).
The list of spots from 21 to 70 includes:
21 Education Teachers, Postsecondary
22 Business Teachers, Postsecondary
23 Environmental Science Teachers, Postsecondary
24 Procurement Clerks
25 Forestry and Conservation Science Teachers, Postsecondary
26 Human Resources Specialists
27 Management Analysts
28 Administrative Law Judges, Adjudicators, and Hearing Officers
29 Credit Authorizers, Checkers, and Clerks
30 Education Administrators, Postsecondary
31 Mental Health Counselors
32 Anthropology and Archeology Teachers, Postsecondary
33 Atmospheric, Earth, Marine, and Space Sciences Teachers,
Postsecondary
34 Public Relations Specialists
35 Judicial Law Clerks
36 Door-To-Door Sales Workers, News and Street Vendors, and
Related Workers
37 Purchasing Agents, Except Wholesale, Retail, and Farm Products
38 Biological Science Teachers, Postsecondary
39 Historians
40 Teachers and Instructors, All Other
41 Human Resources Assistants, Except Payroll and Timekeeping
42 Genetic Counselors
43 Loan Officers
44 Marriage and Family Therapists
45 Reporters and Correspondents
46 Clergy
47 Home Economics Teachers, Postsecondary
48 Compensation and Benefits Managers
49 Economics Teachers, Postsecondary
50 Lawyers
51 Chemistry Teachers, Postsecondary
52 Interviewers, Except Eligibility and Loan
53 Adult Basic and Secondary Education and Literacy Teachers and
Instructors
54 Proofreaders and Copy Markers
55 Labor Relations Specialists
56 Recreation and Fitness Studies Teachers, Postsecondary
57 Industrial-Organizational Psychologists
58 Insurance Sales Agents
59 Eligibility Interviewers, Government Programs
60 Telephone Operators
61 Mathematical Science Teachers, Postsecondary
62 Fundraisers
63 Personal Financial Advisors
64 Purchasing Managers
65 Computer Science Teachers, Postsecondary
66 Title Examiners, Abstractors, and Searchers
67 Public Relations and Fundraising Managers
68 Graduate Teaching Assistants
69 Psychiatrists
70 Dietitians and Nutritionists
Late-Breaking: Goldman Sachs Analysis Points To Massive AI Job Takeover…and wealth for AI Companies
Research by investment bank Goldman Sachs says generative AI systems may lead to a production boom—and human employment bust.
The added production could increase yearly global gross domestic product by 7 percent over a 10-year period, as reported by the Financial Times.
And the research warned that use of AI would also cause significant disruption” in the labor market, exposing as many as 300 million in large economies to automation.
Legal professionals and administrative personnel would be among those most at risk of being laid off.
Two-thirds of employment in the US and Europe could be subject to some form of AI automation. Some workers would have time freed up to perform more productive activities.
But others would have so much of their time freed up, so to speak, they would be vulnerable to replacement by AI.
Even people who have physically demanding or outdoorsy jobs who might be unaffected by generative AI like ChatGPT will likely be vulnerable to other types of automation, including robot systems.
The Trends Journal has been forecasting and chronicling how tech companies trained AI off of massive quantities of human IP and collective knowledge, and are narrowly profiting from a radical new paradigm. For further reading, see:
● “SURVEY: AI WILL TAKE CONTROL OF JOBS, CORPORATIONS BY 2035” (13 Oct 2020)
● “SINGULARITY UNIVERSITY: FUELING AI ASCENDANCE” (3 Aug 2021)
● “AI IS LEARNING YOUR JOB” (22 May 2022)
● “AUTOMATING OUT OF WORLD CRISIS?” (12 Jul 2022)
● “CREATIVE CONTENT INFRINGEMENT OF DEEP LEARNING AI HAS MONUMENTAL IMPLICATIONS” (7 Feb 2023)
● “ARTISTS SUE TO STOP AI COMPANY FROM PROFITING OFF HUMAN-CREATED WORKS” (14 Feb 2022)
● AI INNOVATION, HUMAN COST” (28 Feb 2023)
● “WANT TO FIND YOUR NICHE AS A HUMAN CONTENT CREATOR? GO ANTI-WOKE AND FULL ‘DIS-INFO’” (7 Mar 2023)
● “TOP TREND 2023, AI WE OWN YOU: HUMAN ARTISTRY CAMPAIGN OUT TO PRESERVE RIGHTS OF HUMAN CREATIVES”(21 Mar 2023)
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