National Reskilling Accounts: Portable Lifetime Learning Credits Tied to Labor Market Demand
Description
Establish National Reskilling Accounts (NRAs) — portable, individually owned learning credit accounts funded by a tripartite contribution from government, employer, and worker — that workers can draw on throughout their careers for accredited reskilling programs.
The system has four components: (1) Account structure: Every working adult receives a base annual credit of $3,000 (government-funded, scaled to income) plus employer contributions tied to payroll. Workers in high-displacement occupations receive enhanced credits.
(2) Eligible programs: A national competency framework defines approved programs based on real employer hiring data — not supply-side course catalogs. Credits can only be spent on programs with proven employment outcomes (>70% employment rate within 6 months).
(3) Income support bridge: Workers in transition receive 70% income replacement for up to 18 months while in an accredited reskilling program — replacing the inadequate 26-week unemployment benefit model. (4) Micro-credential recognition: A national and portable digital credential framework that employers agree to recognize, ending the 'degree or nothing' hiring binary.
Singapore's SkillsFuture program is the closest existing model; this scales and strengthens it globally.
Implementation Pathway
Phase 1 (2025–2027)
- • Pilot NRA in 5 OECD countries
- • Build employer demand signal database
- • Launch digital credential framework
Phase 2 (2027–2032)
- • Scale to 20 countries
- • 10M active NRA accounts
- • Income support bridge operational
Phase 3 (2032+)
- • NRA becomes standard component of labor market infrastructure in all OECD nations
- • Extend to middle-income countries via ILO support
Required Resources
Impact Analysis
Overall Net Impact
Combined analysis across all timeframes
Short-term
0-2 years
No benefits identified
No harms identified
Mid-term
3-10 years
No benefits identified
No harms identified
Long-term
10+ years
No benefits identified
No harms identified
