Trend outlookGTrelnodbs 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 %
60 %
O- 10 n 0 %going impact of the COVID pandemic + 100 %
57 %
I-n 10 v 0 e%stments to facilitate the green transition of your business + 100 %
55 %
R- 1 i 0 s 0 %ing cost of living for consumers + 100 %
40 %
S- 1 t 0 r 0 i%cter government regulation of data use and technology + 100 %
40 %
I-n 10 c 0 %reased adoption of new and frontier technologies + 100 %
36 %
S- 1 l 0 o 0 %wer global economic growth + 100 %
33 %
S- 1 u 00 p%ply chains becoming more localized + 100 %
33 %
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 %
67 %
D- 10 is 0 %tributed ledger technology (e.g. blockchain) + 100 %
45 %
E- 1 - 00 c%ommerce and digital trade + 100 %
44 %
C- 10 r 0 y%ptocurrencies + 100 %
42 %
E- 1 n 00 c%ryption and cybersecurity + 100 %
36 %
D- 10 ig 0 %ital platforms and apps + 100 %
31 %
I-n 10 te 0 %rnet of things and connected devices + 100 %
31 %
E- 1 l 0 e 0 c%tric and autonomous vehicles + 100 %
21 %
Role outlook
CFivhe-uyerarn s itnru (^) ctfiurvale lab yeouar-rfosrce churn (percent) %
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^24 %^24 %
Sales and Purchasing Agents and Brokers^20 %^22 %
Accountants and Auditors^26 %^19 %
Devops Engineers^20 %^26 %
Blockchain Developers^18 %^32 %
University and Higher Education Teachers^18 %^18 %
AI and Machine Learning Specialists^31 %^40 %
Data Engineers^24 %^26 %
Special Education Teachers^25 %^22 %
Primary School and Early Childhood
Teachers^24 %^21 %
Compliance Officers^30 %^21 %
Secondary Education Teachers^32 %^25 %
Contextual indicators
INDICATORS
Labour force participation 67 %
Vulnerable employment 48 %
Share of youth not in employment, education, or
training (NEET)^25 %
Unemployment rate 10 %
Unemployment rate among workers with basic
eUdnue.mployment rate among workers with^10 %
advanced edu.^12 %
Secondary Education Attainment 92 %
Tertiary Education Attainment 34 %
E 1 =asCoemp oanfi (^) efis ncdaninnotg e (^) asskilyi fillendd s (^) kelilemd pemloployyeeeess, 7 i=nC loomcpanalie lsab cano euasr (^) ilym fiarnd kskeilletd employees 4. 79
F 1 =ilCl (^) ovmacanciespanies canno (^) tb filly v (^) achanirinciegs (^) bfoy hreirinigg nfo (^) relabgin labouorur, 7 =Companies can fil lvacancies by hiring foreign
labour^4.^46
C 1 =oGuovnerntrmye (^) nint dvoeess tnmot ienvnestt iinn mmdi-icdar-ecerar traieneinrg (^) ,t 7 rai=Gnovinegrnment invests ni mid-career training 4. 44
W 5 +=oNrok geurarsan' (^) tReeig ofh rtigsh (^) tsI ndduee txo the breakdown of the rule of law, 1 =Sporadic violations of rights 3
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
*eRUJiD
- 50 % 0 50 %
0 % 100 %Working Age Population (Millions)
2 .