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 %adening digital access + 100 %
71 %
I-n 10 c 0 %reased adoption of new and frontier technologies + 100 %
65 %
B- 1 r 0 o 0 %ader application of Environmental, Social and Governance (ESG) (^) +s 1 t 0 an 0 %dards
44 %
C- 10 o 0 n%sumers becoming more vocal on social issues + 100 %
29 %
S- 1 t 0 r 0 i%cter government regulation of data use and technology + 100 %



  • 9 %
    R- 1 i 0 s 0 %ing cost of living for consumers + 100 %

  • 20 %
    I-n 10 c 0 r%eased geopolitical divisions + 100 %

  • 38 %
    S- 1 l 0 o 0 %wer global economic growth + 100 %

  • 64 %


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 %
81 %
D- 10 ig 0 %ital platforms and apps + 100 %
68 %
C- 10 lo 0 %ud computing + 100 %
67 %
E- 1 d 00 u%cation and workforce development technologies + 100 %
63 %
E- 1 - 00 c%ommerce and digital trade + 100 %
50 %
I-n 10 te 0 %rnet of things and connected devices + 100 %
47 %
A- 1 r 0 t 0 i%ficial intelligence (e.g. machine learning, neural networks) + 100 %
29 %
T- 1 e 00 x%t, image, and voice processing + 100 %
29 %
Role outlook
CFivhe-uyerarn s itnru (^) ctfiurvale lab yeouar-rfosrce churn (percent) 24 %
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
Relationship Managers^55 %^31 %
Accountants and Auditors^37 %^19 %
Business Development Professionals^31 %^24 %
Digital Transformation Specialists^25 %^32 %
BMuanagsinesesrs Services and Administration 9 % 22 %
Recruiters and technical recruiters^1 %^19 %
Sales and Marketing Professionals^29 %^21 %
Software and Applications Developers^10 %^19 %
CWloiernkte (^) rInsformation and Customer Service 27 % 20 %
Administrative and Executive Secretaries^24 %^35 %
Data Entry Clerks^52 %^42 %
Accounting, Bookkeeping and Payroll
Clerks^46 %^29 %
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
74 % 26 %
2027 Forecast
64 % 36 %
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
53 % -^100 % +^100 % 35 %
Talent development of existing workforce
12 % -^100 % +^100 % 82 %
Talent retention of existing workforce
18 % -^100 % +^100 % 59 %
Industry Profile 1 / 2
Employment services



  • 50 % 0 50 %


Global Employee (millions, ILO estimates)
7. 9
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