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 t 0 r 0 i%cter government regulation of data use and technology + 100 %
42 %
B- 1 r 0 o 0 %adening digital access + 100 %
31 %
A- 1 g 00 e%ing populations in advanced and emerging economies + 100 %
14 %
C- 10 o 0 n%sumers becoming more vocal on social issues + 100 %
9 %
I-n 10 c 0 %reased adoption of new and frontier technologies + 100 %
7 %
C- 10 o 0 n%sumers becoming more vocal on environmental issues + 100 %
5 %
R- 1 i 0 s 0 %ing cost of living for consumers + 100 %



  • 21 %


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 n 00 c%ryption and cybersecurity + 100 %
57 %
E- 1 d 00 u%cation and workforce development technologies + 100 %
29 %
D- 10 ig 0 %ital platforms and apps + 100 %
27 %
I-n 10 te 0 %rnet of things and connected devices + 100 %
26 %
C- 10 lo 0 %ud computing + 100 %
23 %
E- 1 - 00 c%ommerce and digital trade + 100 %
21 %
A- 1 r 0 t 0 i%ficial intelligence (e.g. machine learning, neural networks) + 100 %
7 %
Role outlook
CFivhe-uyerarn s itnru (^) ctfiurvale lab yeouar-rfosrce churn (percent) 22 %
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
Data Analysts and Scientists^46 %^34 %
Business Intelligence Analysts^26 %^35 %
Financial and Investment Advisers^19 %^21 %
Sales and Purchasing Agents and Brokers^14 %^22 %
Insurance 8 nderwriters^6 %^18 %
Risk Management Specialists^6 %^29 %
CInlvaiemstsig (^) atAdoMrussters, Examiners, and 15 % 20 %
Accountants and Auditors^16 %^19 %
CWloiernkte (^) rInsformation and Customer Service 23 % 20 %
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
63 % 37 %
2027 Forecast
54 % 47 %
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
48 % -^100 % +^100 % 28 %
Talent development of existing workforce
3 % -^100 % +^100 % 90 %
Talent retention of existing workforce
14 % -^100 % +^100 % 52 %
Industry Profile 1 / 2
Insurance and pensions management



  • 50 % 0 50 %


Global Employee (millions, ILO estimates)
16. 0
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