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 %
74 %
B- 1 r 0 o 0 %ader application of Environmental, Social and Governance (ESG) (^) +s 1 t 0 an 0 %dards
58 %
C- 10 o 0 n%sumers becoming more vocal on environmental issues + 100 %
47 %
C- 10 li 0 m%ate-change induced investments into adapting operations + 100 %
42 %
D- 10 e 0 m%ographic dividend in developing and emerging economies + 100 %
38 %
B- 1 r 0 o 0 %adening digital access + 100 %
17 %
I-n 10 c 0 %reased adoption of new and frontier technologies + 100 %
4 %
I-n 10 c 0 r%eased geopolitical divisions + 100 %



  • 12 %


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
C- 10 li 0 m%ate-change mitigation technology (Alternative Energy, Greenhous+e 10 0 g%ases...
61 %
E- 1 n 00 v%ironmental management technologies (e.g. pollution abatement, r+e 10 c 0 y%cling)
52 %
E- 1 n 00 c%ryption and cybersecurity + 100 %
50 %
P- 1 o 00 w%er storage and generation + 100 %
47 %
D- 10 ig 0 %ital platforms and apps + 100 %
27 %
C- 10 lo 0 %ud computing + 100 %



  • 5 %
    A- 1 r 0 t 0 i%ficial intelligence (e.g. machine learning, neural networks) + 100 %

  • 10 %
    I-n 10 te 0 %rnet of things and connected devices + 100 %

  • 15 %
    Role outlook


CFivhe-uyerarn s itnru (^) ctfiurvale lab yeouar-rfosrce churn (percent) 20 %
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
POeptreoratleoumrs and Natural Gas Refining Plant 45 % 34 %
Application Developers^39 %^23 %
Project Managers^19 %^25 %
Mechanics and Machinery Repairers^18 %^19 %
MDianufstribactutiounr iMnganag, Mineinrsg, Construction, and 19 % 11 %
Big Data Specialists^11 %^31 %
Accountants and Auditors^14 %^19 %
General and Operations Managers^3 %^14 %
SMalanufes Ractepurreinsge,n Ttatecivhensic, (^) alW andhole sSalceie andntific... 4 % 14 %
Accounting, Bookkeeping and Payroll
Clerks^6 %^29 %
Data Entry Clerks^31 %^42 %
Administrative and Executive Secretaries^38 %^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
75 % 26 %
2027 Forecast
75 % 25 %
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
35 % -^100 % +^100 % 52 %
Talent development of existing workforce
0 % -^100 % +^100 % 78 %
Talent retention of existing workforce
22 % -^100 % +^100 % 39 %
Industry Profile 1 / 2
Oil and gas



  • 50 % 0 50 %


Global Employee (millions, ILO estimates)
6. 1
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