Workforce Transition & Social Impact

Track how automation reduces foreign-labour dependency and builds local skilled jobs.
Linked to automation logs · updated 2 min ago
Foreign-worker roles reduced
38 roles
via automated monitoring & load control
↓ RM 70.3K/yr saved on levies
Local skilled jobs created
21 jobs
energy analysts & data technicians
↑ 12 certified this quarter
Automation projects live
14 systems
HVAC · compressors · lighting · lines
On target
Foreign-labour ratio
11.2 %
of plant workforce · national target 10% by 2030
5-year workforce transition
Projected from the current automation roadmap
Reaches 10% target by 2029
2001000 202520262027 20282029 10% national target
Foreign-worker roles
Local skilled jobs
National 10% target
Automation → labour impact
What replaced manual monitoring
From plant logs
HVAC & chiller scheduling
Auto load-shifting · 24/7
−12 roles
manual monitoring
Compressor optimisation
Leak + demand detection
−9 roles
shift patrols
Solar + BESS dispatch
Automated peak-shaving
−8 roles
meter reading
Line energy waste alerts
Idle-machine shutdown
−9 roles
floor checks
◷ No local worker has been displaced — reductions come from roles previously filled by foreign labour.
Local upskilling programme
Redeployed & newly hired Malaysians
21 in training
SK
Certified Energy-Data Operator
8 trainees · local hires
90%
NR
Automation Technician
6 trainees · redeployed
72%
FA
ESG Reporting Analyst
4 trainees · new roles
58%
JT
Solar O&M Specialist
3 trainees · local hires
40%
◷ Training hours are logged and exportable as GRI 404 evidence.
5-year local value created
RM 3.6 M
wages retained in the local economy
Levy savingsRM 351K
Local wages addedRM 3.25M
Forced-labour trade risk↓ 64%
Workforce composition
88.8% local
Local workforce 88.8%
Foreign workers 11.2%
Was 24.0% at 2025 baseline
Framework alignment
SDG 8 · Decent Work (supporting) NIMP 2030 · Mission 4 12MP labour cap GRI 401 / 404
◷ Feeds directly into the audit-ready social impact report your buyers request.
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