WEF Jobs of Tomorrow Generative AI 2023 · Page 18

Job exposure potential vs growth potential
F I G U R E  7
100
75
50
25
100
75
50
25
Exposure % (matched with Future of Jobs  and re-calculated)
Net growth %
Stable
Growing
Highest augmentation
Lower potential
Highest automation
Declining
100
75
50
25
-40
-30
-20
-10
-3
-2
-1
0
1
10
20
30
40
Business and financial operations
Education and training
Healthcare practitioners and technicians
Management
Sales
Arts, design, entertainment, sports and media
Future of Jobs job families
Computer and mathematical
Insurance Underwriters
Farming, fishing and forestry
Legal
Office and administrative
Web Developers
Sales and Purchasing Agents and Brokers
Authors and Journalists
Data Warehousing Specialists
Management 
and Organization 
Analysts
Training and Development Specialists
Mathematicians, Actuaries and Statisticians
Graphic 
Designers
Database and Network 
Professionals
Database Analysts 
and Scientists
AI and Machine 
Learning Specialists
Representatives, Wholesale 
and Manufacturing, Technical 
and Scientific Products 
Secondary Education Teachers
Paralegals and Legal Assistants
Bank Tellers and Related Clerks
Telemarketers
Securities and Finance Dealers and Brokers
Accounting, Bookeeping and Payroll Clerks
Legal Secretaries
Statistical, Finance and 
Insurance Clerks
Administrative and 
Executive Secretaries
Material-recording and 
Stock-keeping Clerks
Data Entry Clerks
Human Resources Specialists
Lawyers
Manufacturing, Mining, Construction 
and Distribution Managers
Farmworkers and Labourers
University and Higher Education Teachers
Vocational Education Teachers
Personal Care Workers 
in Health Services
Regulatory and
Government Associate
Professionals
The jobs with the highest potential for automation 
are featured in the lower box of Figure 7 (mapped 
from the list in Figure 2) and overlap significantly 
with those that are expected to decline over the 
next five years, as indicated by survey results  
from business leaders in the Future of Jobs  
Report 2023.17 The three with the greatest  
expected declines are Bank Tellers and Related 
Clerks (87% of time spent on tasks with high 
potential for automation, 41% expected decline), 
Data Entry Clerks (58% potential automation,  
36% expected decline), and Administrative and  
Executive Secretaries (69% potential automation, 
34% expected decline). All jobs with high potential 
for automation have negative expected growth,  
with the exception of Securities and Finance 
Dealers and Brokers.
The jobs with high potential for augmentation are 
featured in the upper box (mapped from the list 
in Figure 3) and mostly align with jobs with strong 
expected growth over the next five years, as 
indicated in the Future of Jobs Report 2023.18 Jobs 
largely in the families of technologists, engineers 
and analysts have potential for augmentation and 
growth. AI and machine learning specialists have 
the highest expected growth (75% of time spent 
on tasks with high potential for augmentation, and 
39% expected growth), followed by Data Analysts 
and Scientists (84% potential augmentation, and 
31% expected growth) and Database and Network 
Professionals (83% potential augmentation, and 
14% expected growth). However, jobs with  
high potential for augmentation feature significant 
variation in expected growth, and several jobs 
in this category have low growth expectations, 
such as Data Entry Clerks and Web Developers. 
Nevertheless, the general congruence between 
augmentation potential and expected growt