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
50 %
I-n 10 v 0 e%stments to facilitate the green transition of your business + 100 %
45 %
C- 10 li 0 m%ate-change induced investments into adapting operations + 100 %
40 %
I-n 10 c 0 %reased adoption of new and frontier technologies + 100 %
30 %
S- 1 t 0 r 0 i%cter government regulation of data use and technology + 100 %
27 %
B- 1 r 0 o 0 %adening digital access + 100 %
18 %
R- 1 i 0 s 0 %ing cost of living for consumers + 100 %



  • 27 %
    S- 1 l 0 o 0 %wer global economic growth + 100 %

  • 45 %


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
B- 10 ig 0 %-data analytics + 100 %
69 %
E- 1 n 00 c%ryption and cybersecurity + 100 %
63 %
E- 1 - 00 c%ommerce and digital trade + 100 %
43 %
C- 10 lo 0 %ud computing + 100 %
41 %
D- 10 ig 0 %ital platforms and apps + 100 %
34 %
E- 1 d 00 u%cation and workforce development technologies + 100 %
30 %
I-n 10 te 0 %rnet of things and connected devices + 100 %
27 %
A- 1 r 0 t 0 i%ficial intelligence (e.g. machine learning, neural networks) + 100 %
20 %
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 Intelligence Analysts^37 %^35 %
Data Analysts and Scientists^39 %^34 %
Digital Transformation Specialists^27 %^32 %
Financial Analysts^21 %^17 %
Financial and Investment Advisers^18 %^21 %
Compliance 2 Ĵcers^25 %^21 %
Risk Management Specialists^18 %^29 %
Relationship Managers^23 %^31 %
Accountants and Auditors^20 %^19 %
Sales and Marketing Professionals^26 %^21 %
General and 2 perations Managers^17 %^14 %
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
66 % 35 %
2027 Forecast
56 % 44 %
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 % 37 %
Talent development of existing workforce
7 % -^100 % +^100 % 77 %
Talent retention of existing workforce
16 % -^100 % +^100 % 58 %
Industry Profile 1 / 2
Financial services and capital markets



  • 50 % 0 50 %


Global Employee (millions, ILO estimates)
31. 9
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