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
I-n 10 c 0 %reased adoption of new and frontier technologies + 100 %
53 %
C- 10 li 0 m%ate-change induced investments into adapting operations + 100 %
49 %
B- 1 r 0 o 0 %ader application of Environmental, Social and Governance (ESG) (^) +s 1 t 0 an 0 %dards
41 %
B- 1 r 0 o 0 %adening digital access + 100 %
37 %
C- 10 o 0 n%sumers becoming more vocal on environmental issues + 100 %
31 %
C- 10 o 0 n%sumers becoming more vocal on social issues + 100 %
23 %
A- 1 g 00 e%ing populations in advanced and emerging economies + 100 %
12 %
S- 1 u 00 p%ply shortages and/or rising cost of inputs for your business + 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 %
56 %
C- 10 li 0 m%ate-change mitigation technology (Alternative Energy, Greenhous+e 10 0 g%ases...
50 %
I-n 10 te 0 %rnet of things and connected devices + 100 %
41 %
E- 1 n 00 c%ryption and cybersecurity + 100 %
39 %
D- 10 ig 0 %ital platforms and apps + 100 %
38 %
E- 1 d 00 u%cation and workforce development technologies + 100 %
35 %
A- 1 r 0 t 0 i%ficial intelligence (e.g. machine learning, neural networks) + 100 %
32 %
C- 10 lo 0 %ud computing + 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 ECCOHNURONMY GCLHOUBRANL
Data Analysts and Scientists^53 %^34 %
AI and Machine Learning Specialists^30 %^40 %
Business Development Professionals^28 %^24 %
Digital Transformation Specialists^26 %^32 %
Project Managers^17 %^25 %
Sales and Marketing Professionals^24 %^21 %
BMuanagsinesesrs Services and Administration 28 % 22 %
General and Operations Managers^17 %^14 %
Assembly and Factory Workers^24 %^17 %
Administrative and Executive Secretaries^27 %^35 %
ACclecrokusnting, Bookkeeping and Payroll 36 % 29 %
Contextual indicators
INDICATORS
Labour force participation 64 %
Vulnerable employment 8 %
Share of youth not in employment, education, or
training (NEET)^3 %
Unemployment rate 2 %
Unemployment rate among workers with basic
eUdnue.mployment rate among workers with NA
advanced edu.^2 %
Secondary Education Attainment NA
Tertiary Education Attainment NA
E 1 =asCoemp oanfi (^) efis ncdaninnotg e (^) asskilyi fillendd s (^) kelilemd pemloployyeeeess, 7 i=nC loomcpanalie lsab cano euasr (^) ilym fiarnd kskeilletd employees 3. 89
F 1 =ilCl (^) ovmacanciespanies canno (^) tb filly v (^) achanirinciegs (^) bfoy hreirinigg nfo (^) relabgin labouorur, 7 =Companies can fil lvacancies by hiring foreign
labour^3.^31
C 1 =oGuovnerntrmye (^) nint dvoeess tnmot ienvnestt iinn mmdi-icdar-ecerar traieneinrg (^) ,t 7 rai=Gnovinegrnment invests ni mid-career training 3. 99
W 5 +=oNrok geurarsan' (^) tReeig ofh rtigsh (^) tsI ndduee txo the breakdown of the rule of law, 1 =Sporadic violations of rights 2
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
Japan
- 50 % 0 50 %
0 % 100 %Working Age Population (Millions)
98. 6