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 %
72 %
C- 10 li 0 m%ate-change induced investments into adapting operations + 100 %
58 %
B- 1 r 0 o 0 %ader application of Environmental, Social and Governance (ESG) (^) +s 1 t 0 an 0 %dards
54 %
I-n 10 c 0 %reased adoption of new and frontier technologies + 100 %
52 %
B- 1 r 0 o 0 %adening digital access + 100 %
41 %
C- 10 o 0 n%sumers becoming more vocal on environmental issues + 100 %
27 %
R- 1 i 0 s 0 %ing cost of living for consumers + 100 %



  • 12 %
    S- 1 l 0 o 0 %wer global economic growth + 100 %

  • 48 %


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 %
68 %
E- 1 n 00 c%ryption and cybersecurity + 100 %
59 %
D- 10 ig 0 %ital platforms and apps + 100 %
48 %
I-n 10 te 0 %rnet of things and connected devices + 100 %
41 %
E- 1 - 00 c%ommerce and digital trade + 100 %
39 %
E- 1 d 00 u%cation and workforce development technologies + 100 %
38 %
C- 10 lo 0 %ud computing + 100 %
35 %
A- 1 r 0 t 0 i%ficial intelligence (e.g. machine learning, neural networks) + 100 %
9 %
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 ECCOHNURONMY GCLHOUBRANL
Business Development Professionals^23 %^24 %
Mechanics and Machinery Repairers^15 %^19 %
CWloiernkte (^) rInsformation and Customer Service 16 % 20 %
General and Operations Managers^11 %^14 %
Assembly and Factory Workers^15 %^17 %
Business Services and Administration
Managers^19 %^22 %
Accountants and Auditors^21 %^19 %
Data Entry Clerks^29 %^42 %
ACclecrokusnting, Bookkeeping and Payroll 36 % 29 %
Contextual indicators
INDICATORS
Labour force participation 52 %
Vulnerable employment 17 %
Share of youth not in employment, education, or
training (NEET)^20 %
Unemployment rate 8 %
Unemployment rate among workers with basic
eUdnue.mployment rate among workers with^12 %
advanced edu.^5 %
Secondary Education Attainment 52 %
Tertiary Education Attainment 17 %
E 1 =asCoemp oanfi (^) efis ncdaninnotg e (^) asskilyi fillendd s (^) kelilemd pemloployyeeeess, 7 i=nC loomcpanalie lsab cano euasr (^) ilym fiarnd kskeilletd employees 4. 39
F 1 =ilCl (^) ovmacanciespanies canno (^) tb filly v (^) achanirinciegs (^) bfoy hreirinigg nfo (^) relabgin labouorur, 7 =Companies can fil lvacancies by hiring foreign
labour^4.^31
C 1 =oGuovnerntrmye (^) nint dvoeess tnmot ienvnestt iinn mmdi-icdar-ecerar traieneinrg (^) ,t 7 rai=Gnovinegrnment invests ni mid-career training 4. 29
W 5 +=oNrok geurarsan' (^) tReeig ofh rtigsh (^) tsI ndduee txo the breakdown of the rule of law, 1 =Sporadic violations of rights 1
L 10 e=vTheel woofr (^) stNat possioibnle alsc (^) oCreo, lomwepr llieance vels of cwomipthlian Labce, 0 =oTuher bResigt photsssible score, higher levels of
compliance^0
Economy Profile 1 / 2
Italy



  • 50 % 0 50 %


0 % 100 %

Working Age Population (Millions)
45. 5
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