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
I-n 10 v 0 e%stments to facilitate the green transition of your business + 100 %
62 %
B- 1 r 0 o 0 %ader application of Environmental, Social and Governance (ESG) (^) +s 1 t 0 an 0 %dards
57 %
C- 10 o 0 n%sumers becoming more vocal on environmental issues + 100 %
35 %
B- 1 r 0 o 0 %adening digital access + 100 %
30 %
C- 10 o 0 n%sumers becoming more vocal on social issues + 100 %
29 %
I-n 10 c 0 %reased adoption of new and frontier technologies + 100 %
27 %
S- 1 u 00 p%ply shortages and/or rising cost of inputs for your business + 100 %



  • 6 %
    S- 1 l 0 o 0 %wer global economic growth + 100 %

  • 53 %


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 n 00 v%ironmental management technologies (e.g. pollution abatement, r+e 10 c 0 y%cling)
70 %
B- 10 ig 0 %-data analytics + 100 %
57 %
C- 10 li 0 m%ate-change mitigation technology (Alternative Energy, Greenhous+e 10 0 g%ases...
54 %
P- 1 o 00 w%er storage and generation + 100 %
50 %
E- 1 d 00 u%cation and workforce development technologies + 100 %
45 %
E- 1 - 00 c%ommerce and digital trade + 100 %
32 %
I-n 10 te 0 %rnet of things and connected devices + 100 %
31 %
D- 10 ig 0 %ital platforms and apps + 100 %
28 %
Role outlook
CFivhe-uyerarn s itnru (^) ctfiurvale lab yeouar-rfosrce churn (percent) 16 %
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
AI and Machine Learning Specialists^30 %^40 %
Project Managers^10 %^25 %
Business Development Professionals^15 %^24 %
Managing Directors and Chief Executives^8 %^17 %
Technical Specialists^8 %^24 %
Industrial and Production Engineers^7 %^15 %
General and Operations Managers^10 %^14 %
Mechanics and Machinery Repairers^8 %^19 %
SMalanufes Ractepurreinsge,n Ttatecivhensic, (^) alW andhole sSalceie (^) nandtific... 19 % 14 %
Assembly and Factory Workers^15 %^17 %
Administrative and Executive Secretaries^18 %^35 %
Data Entry Clerks^39 %^42 %
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 % 31 %
2027 Forecast
55 % 45 %
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
31 % -^100 % +^100 % 40 %
Talent development of existing workforce
6 % -^100 % +^100 % 83 %
Talent retention of existing workforce
27 % -^100 % +^100 % 48 %
Industry Profile 1 / 2
$dvanced manuIacturing



  • 50 % 0 50 %


Global Employee (millions, ILO estimates)
 9. 9
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