WEF_Future_of_Jobs_2023

(SERGIO PINHEIROFdUjs8) #1
Trend outlook

GTrelnodbs amol (^) stt rmeonsdt likse (^) lay nto ddr (^) ivteh iendiurs itmry tpranascfotr (^) moatnio (^) njo anbd cthreier eaxptieocnted impact job creation, ordered by net
effect (share of organizations surveyed)
Job creator Job displacer Net effect Global net effect
B- 1 r 0 o 0 %ader application of Environmental, Social and Governance (ESG) (^) +s 1 t 0 an 0 %dards
64 %
B- 1 r 0 o 0 %adening digital access + 100 %
52 %
I-n 10 c 0 %reased adoption of new and frontier technologies + 100 %
44 %
C- 10 o 0 n%sumers becoming more vocal on social issues + 100 %
43 %
A- 1 g 00 e%ing populations in advanced and emerging economies + 100 %
23 %
S- 1 t 0 r 0 i%cter government regulation of data use and technology + 100 %
14 %
O- 10 n 0 %going impact of the COVID pandemic + 100 %



  • 3 %
    R- 1 i 0 s 0 %ing cost of living for consumers + 100 %

  • 26 %


TTeecchnholnogoielso mgoisets m (^) oastn lidke (^) lty htoe dirriv (^) eim indpusatcryt tr (^) anosnfo (^) rjomatbio cnr anead tthieoirn expected impact job creation, ordered
by net effect (share of organizations surveyed)
Job creator Job displacer Net effect Global net effect
E- 1 d 00 u%cation and workforce development technologies + 100 %
75 %
D- 10 ig 0 %ital platforms and apps + 100 %
74 %
B- 10 ig 0 %-data analytics + 100 %
64 %
A- 1 u 00 g%mented and virtual reality + 100 %
50 %
C- 10 lo 0 %ud computing + 100 %
46 %
T- 1 e 00 x%t, image, and voice processing + 100 %
41 %
I-n 10 te 0 %rnet of things and connected devices + 100 %
38 %
A- 1 r 0 t 0 i%ficial intelligence (e.g. machine learning, neural networks) + 100 %
36 %
Role outlook
CFivhe-uyerarn s itnru (^) ctfiurvale lab yeouar-rfosrce churn (percent) 2 %
Global 23 %
KRoelesy mrooslte ssele fcoterd bbyu osrgianniezsatsio (^) nstr saurnvseyfeodr (asm eaithtieor ngrowing, stable or declining), ordered by net role
growth, and their net growth and structural churn (percent)
ROLES NET^ GROWTH INCDHUUSRTNRY GCLHOUBRANL
Business Development Professionals^16 %^24 %
Project Managers^29 %^25 %
Data Analysts and Scientists^14 %^34 %
University and Higher Education Teachers^14 %^18 %
Software and Applications Developers^12 %^19 %
Special Education Teachers^16 %^22 %
Vocational Education Teachers^27 %^25 %
Relationship Managers^18 %^31 %
Accountants and Auditors^20 %^19 %
Accounting, Bookkeeping and Payroll
Clerks^26 %^29 %
Data Entry Clerks^47 %^42 %
Administrative and Executive Secretaries^52 %^35 %
Human-machine frontier
HTasukms paernfo-rmmeda bcyh hiunmean fsr oannd tmiacerhines today and in 2027 (share of total)
Human Machine Industry Frontier Global Frontier
ALL TASKS
Now
69 % 32 %
2027 Forecast
58 % 42 %
Workforce strategy outlook
TExapelectnedt cohuantgleo oin ktal (^) einnt (^) av (^20) ai (^2) lab (^7) ility, development and retention in the next five years (share of organizations
surveyed)
Improving Worsening Global average Global average
Talent availability when hiring
29 % -^100 % +^100 % 44 %
Talent development of existing workforce
4 % -^100 % +^100 % 79 %
Talent retention of existing workforce
15 % -^100 % +^100 % 54 %
Industry Profile 1 / 2
Education and training



  • 50 % 0 50 %


Global Employee (millions, ILO estimates)
158. 1
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