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
44 %
S- 1 u 00 p%ply chains becoming more localized + 100 %
38 %
B- 1 r 0 o 0 %adening digital access + 100 %
31 %
I-n 10 c 0 %reased adoption of new and frontier technologies + 100 %
27 %
C- 10 o 0 n%sumers becoming more vocal on environmental issues + 100 %
25 %
A- 1 g 00 e%ing populations in advanced and emerging economies + 100 %
5 %
R- 1 i 0 s 0 %ing cost of living for consumers + 100 %



  • 22 %
    S- 1 u 00 p%ply shortages and/or rising cost of inputs for your business + 100 %

  • 39 %


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 %
60 %
E- 1 - 00 c%ommerce and digital trade + 100 %
58 %
D- 10 ig 0 %ital platforms and apps + 100 %
47 %
C- 10 li 0 m%ate-change mitigation technology (Alternative Energy, Greenhous+e 10 0 g%ases...
44 %
E- 1 n 00 v%ironmental management technologies (e.g. pollution abatement, r+e 10 c 0 y%cling)
31 %
A- 1 r 0 t 0 i%ficial intelligence (e.g. machine learning, neural networks) + 100 %
31 %
E- 1 d 00 u%cation and workforce development technologies + 100 %
29 %
I-n 10 te 0 %rnet of things and connected devices + 100 %
17 %
Role outlook
CFivhe-uyerarn s itnru (^) ctfiurvale lab yeouar-rfosrce churn (percent) 21 %
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^53 %^35 %
Business Development Professionals^17 %^24 %
Managing Directors and Chief Executives^22 %^17 %
General and Operations Managers^8 %^14 %
BMuanagsinesesrs Services and Administration 21 % 22 %
Supply Chain and Logistics Specialists^19 %^20 %
SMalanufes Ractepurreinsge,n Ttatecivhensic, (^) alW andhole sSalceie andntific... 6 % 14 %
Shop Salespersons^14 %^23 %
ACclecrokusnting, Bookkeeping and Payroll 19 % 29 %
Data Entry Clerks^32 %^42 %
Administrative and Executive Secretaries^41 %^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
72 % 28 %
2027 Forecast
57 % 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
40 % -^100 % +^100 % 33 %
Talent development of existing workforce
5 % -^100 % +^100 % 78 %
Talent retention of existing workforce
21 % -^100 % +^100 % 55 %
Industry Profile 1 / 2
Retail and wholesale of consumer goods



  • 50 % 0 50 %


Global Employee (millions, ILO estimates)
145. 2
Free download pdf