Lever 3 · Updated 2026-05-03
🎓 Lever 3 · Talent
Education + Training + Transition
Lever Definition
Make sure companies can find people who can actually use AI
Take: Whole population, enterprises, schools, mid-career retraining — the talent pool only works when all five layers line up.
Projects
Whole-Population Layer (MDDI)
Professional Layer (IMDA + AISG)
TechSkills Accelerator (TeSA) AI Expansion
IMDA · 21K placed + 340K upskilled
Tilts the national skills accelerator toward AI
AI Apprenticeship Programme (AIAP)
AISG · 16 cohorts, 410+ apprentices; new cohort with 800 slots
Industrial-grade AI engineer training
100E Programme
AISG · S$150K co-investment per project, 100+ completed cumulatively
Enterprise × AISG joint AI projects
Education System Layer (MOE + NIE)
SLS (Student Learning Space) AI Toolstack
MOE · 8 categories of tools
AI integration for the national K-12 learning platform
GenAI Usage Guidelines + AI Ethics Framework
MOE · 2024–2026
GenAI usage rules at the school level
EdTech Masterplan 2030
MOE · Released in 2024
Writes AI into the next 5 years of education technology planning
NIE AI@NIE + Certificate in AI for Education
NIE · Teacher AI literacy certificate
Launches AI teaching capacity-building from the teacher side
NUS / NTU / SMU / SUTD AI Curriculum Reform
Higher Education · Fully rolled out
AI curriculum upgrade across all levels from undergrad to EMBA
Fiscal Subsidy Layer (SSG + WSG)
Mid-Career Retraining Layer (MOM)
Job Redesign+
MOM / WSG · "Human + AI job redesign"
Policy framework that converts "layoffs" into "job redesign"
Career Conversion Programme (CCP)
MOM / WSG · Mid-career retraining
Helps PMETs transition into AI-related roles
Enterprise Workforce Transformation Package (EWTP)
MOM · Enterprise level
Enterprise-level workforce AI transformation support