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 %
68 %
I-n 10 v 0 e%stments to facilitate the green transition of your business + 100 %
60 %
B- 1 r 0 o 0 %ader application of Environmental, Social and Governance (ESG) (^) +s 1 t 0 an 0 %dards
56 %
B- 1 r 0 o 0 %adening digital access + 100 %
41 %
C- 10 o 0 n%sumers becoming more vocal on environmental issues + 100 %
28 %
R- 1 i 0 s 0 %ing cost of living for consumers + 100 %
- 11 %
S- 1 u 00 p%ply shortages and/or rising cost of inputs for your business + 100 % - 19 %
S- 1 l 0 o 0 %wer global economic growth + 100 % - 62 %
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
A- 1 r 0 t 0 i%ficial intelligence (e.g. machine learning, neural networks) + 100 %
62 %
B- 10 ig 0 %-data analytics + 100 %
61 %
E- 1 n 00 v%ironmental management technologies (e.g. pollution abatement, r+e 10 c 0 y%cling)
57 %
I-n 10 te 0 %rnet of things and connected devices + 100 %
55 %
C- 10 lo 0 %ud computing + 100 %
50 %
D- 10 ig 0 %ital platforms and apps + 100 %
38 %
E- 1 d 00 u%cation and workforce development technologies + 100 %
35 %
R- 1 o 00 b%ots, non-humanoid (e.g. industrial automation, drones) + 100 %
3 %
Role outlook
CFivhe-uyerarn s itnru (^) ctfiurvale lab yeouar-rfosrce churn (percent) 18 %
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
Project Managers^47 %^25 %
AI and Machine Learning Specialists^35 %^40 %
Business Development Professionals^24 %^24 %
Electrotechnology Engineers^6 %^13 %
Mechanics and Machinery Repairers^23 %^19 %
Mechanical Engineers^1 %^20 %
General and Operations Managers^12 %^14 %
Assembly and Factory Workers^20 %^17 %
ACclecrokusnting, Bookkeeping and Payroll 26 % 29 %
Administrative and Executive Secretaries^34 %^35 %
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
67 % 33 %
2027 Forecast
56 % 44 %
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
50 % -^100 % +^100 % 30 %
Talent development of existing workforce
3 % -^100 % +^100 % 83 %
Talent retention of existing workforce
33 % -^100 % +^100 % 47 %
Industry Profile 1 / 2
Electronics
- 50 % 0 50 %
Global Employee (millions, ILO estimates)
29. 6