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 %
61 %
C- 10 li 0 m%ate-change induced investments into adapting operations + 100 %
60 %
B- 1 r 0 o 0 %ader application of Environmental, Social and Governance (ESG) (^) +s 1 t 0 an 0 %dards
57 %
I-n 10 c 0 %reased adoption of new and frontier technologies + 100 %
46 %
B- 1 r 0 o 0 %adening digital access + 100 %
40 %
C- 10 o 0 n%sumers becoming more vocal on environmental issues + 100 %
35 %
S- 1 u 00 p%ply shortages and/or rising cost of inputs for your business + 100 %



  • 6 %
    R- 1 i 0 s 0 %ing cost of living for consumers + 100 %

  • 16 %


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 %
61 %
E- 1 n 00 c%ryption and cybersecurity + 100 %
49 %
E- 1 d 00 u%cation and workforce development technologies + 100 %
46 %
E- 1 - 00 c%ommerce and digital trade + 100 %
45 %
D- 10 ig 0 %ital platforms and apps + 100 %
36 %
I-n 10 te 0 %rnet of things and connected devices + 100 %
33 %
C- 10 lo 0 %ud computing + 100 %
29 %
A- 1 r 0 t 0 i%ficial intelligence (e.g. machine learning, neural networks) + 100 %
19 %
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 ECCOHNURONMY GCLHOUBRANL
Data Analysts and Scientists^34 %^34 %
Business Development Professionals^16 %^24 %
General and Operations Managers^13 %^14 %
Financial Analysts^7 %^17 %
Assembly and Factory Workers^12 %^17 %
Sales and Marketing Professionals^25 %^21 %
Accountants and Auditors^7 %^19 %
Business Services and Administration
Managers^38 %^22 %
Human Resources Specialists^15 %^12 %
Accounting, Bookkeeping and Payroll
Clerks^24 %^29 %
Administrative and Executive Secretaries^20 %^35 %
Data Entry Clerks^44 %^42 %
Contextual indicators
INDICATORS
Labour force participation 65 %
Vulnerable employment 11 %
Share of youth not in employment, education, or
training (NEET) NA
Unemployment rate 4 %
Unemployment rate among workers with basic
eUdnue.mployment rate among workers with^5 %
advanced edu.^4 %
Secondary Education Attainment 80 %
Tertiary Education Attainment 46 %
E 1 =asCoemp oanfi (^) efis ncdaninnotg e (^) asskilyi fillendd s (^) kelilemd pemloployyeeeess, 7 i=nC loomcpanalie lsab cano euasr (^) ilym fiarnd kskeilletd employees 4. 17
F 1 =ilCl (^) ovmacanciespanies canno (^) tb filly v (^) achanirinciegs (^) bfoy hreirinigg nfo (^) relabgin labouorur, 7 =Companies can fil lvacancies by hiring foreign
labour^4.^30
C 1 =oGuovnerntrmye (^) nint dvoeess tnmot ienvnestt iinn mmdi-icdar-ecerar traieneinrg (^) ,t 7 rai=Gnovinegrnment invests ni mid-career training 4. 49
W 5 +=oNrok geurarsan' (^) tReeig ofh rtigsh (^) tsI ndduee txo the breakdown of the rule of law, 1 =Sporadic violations of rights 4
L 10 e=vTheel woofr (^) stNat possioibnle alsc (^) oCreo, lomwepr llieance vels of cwomipthlian Labce, 0 =oTuher bResigt photsssible score, higher levels of
compliance^1
Economy Profile 1 / 2
$XVWUalia



  • 50 % 0 50 %


0 % 100 %

Working Age Population (Millions)
1 .
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