Upskilling and Reskilling in Indonesia: Building Workforce Resilience for 2026 and Beyond

Upskilling (deepening skills for current positions) and reskilling (preparing for new ones) have become central themes in HR discussions across Indonesia. The steady stream of new graduates every year, rapid digitalization, shifting business models, intensifying productivity goals under national economic plans, and persistent talent shortages have made it clear that organizations cannot hire their way out of skills gaps alone. As a result, learning initiatives have expanded quickly — often faster than the systems designed to absorb them.

Very often, training initiatives launch with fanfare: training sessions are full, employees complete courses, certificates get issued, and leaders declare progress. Yet beneath the surface, familiar patterns emerge: programs overload participants with content, neglect real workplace application, and fail to deliver tangible returns. Early enthusiasm fades, participants return to roles unchanged, new knowledge gathers dust, and the same performance hurdles reappear. 

These outcomes often get pinned on low engagement, tough market conditions,  or external constraints, but they usually trace back to programs disconnected from daily demands: content too broad, follow-through too light, or success defined by attendance rather than results.

However, in Indonesia’s evolving labor market defined by demographic scale and sectoral shifts, upskilling and reskilling stand as core levers for progress. They cannot  be treated as optional add-ons. They must be treated as workforce capability decisions — directly linked to role outcomes, business risk, and performance expectations. More than that, they turn national policy aspirations (like Kartu Prakerja¹) or SDM Unggul²) into on-the-ground advantages and lasting contributions.

Why Skill Efforts Fall Short: The Mismatch Between Education and Demand

Indonesia’s skills challenge is not new, but its scale in 2026 demands urgent recalibration. The disconnect between training and workplace impact has deep roots in Indonesia’s talent ecosystem. Fresh graduates—often strong in theory—frequently lack hands-on readiness for roles in high-demand fields, leaving employers to bridge gaps in areas like data analytics or environmental compliance. Government programs like Pre-Employment Cards show potential: over 95% participant satisfaction, 88.92% self-reported skills gains, and contributions to dropping unemployment to under 5% in recent years. Still, surveys show most young workers miss the mark on employer priorities, with 60% of employers prioritizing digital skills, while only 19% of young workers hold tertiary qualifications matching global averages.

Similarly, rising needs in the green economy sharpen urgency. National projections call for millions of positions in renewables, electric vehicles, and circular waste systems by 2030 in solar, demanding specialized know-how that current pipelines struggle to fill. Digital transformation adds pressure:  targets aim for widespread tech literacy now, evolving to advanced applications soon. Multigenerational dynamics complicate this: Gen Z brings digital fluency but lacks business context; veterans bring practical wisdom yet adapt slowly to new platforms. The common thread? Past approaches emphasized volume over fit, treating training as an event rather than a process.

The risk is not inaction, but misdirected effort. Programs often mimic classroom models, ignoring that 86% of the workforce historically lacked certified training. True upskilling builds proficiency in current roles; reskilling pivots to new ones—both demand deliberate sequencing tied to business outcomes.​

Obstacles Beyond Access: Resistance, Relevance, and Retention

Accessible opportunities do not guarantee stickiness. High costs sideline informal workers, instructor shortages limit scale, and certification voids persist, while companies underinvest in on-the-job training. Cultural factors play a role too: hierarchy discourages mid-career experimentation; team-oriented values favor group learning over individualized paths.

Yet successes exist. Pre-Employment Cards reduced unemployment steadily from 5.45% (2023) to 4.76% (2025), proving scalability when blended with entrepreneurship. The lesson: programs succeed when they are shorter, modular, measurable, especially in priority zones like emerging green training sites. Organizations face parallel hurdles. Frontline upskilling efforts stall on scheduling and attendance, while managerial reskilling or leadership programs meet resistance to “unlearning.” Without clearly tying efforts to output goals, investments drift towards compliance checkboxes and  cost centers rather than levers.

Fortunately, these challenges are not insurmountable. What matters is shifting from broad initiatives to targeted interventions that surface risks early and build momentum. The path forward lies in refinements: focus on what works, cut what doesn’t, and build in safeguards from the outset.

From Diagnosis to Delivery: Designing Programs That Stick

These patterns will resonate with anyone leading talent initiatives: roadmaps exist, budgets are allocated, yet returns feel elusive. In 2026, these frameworks are not obsolete but calibrated for yesterday’s gaps: steadier job paths, predictable tech stacks,less urgent green/digital/green pivots, simpler generational mixes.

However, there is no need to completely overhaul up- and reskilling strategies, targeted adjustments are enough to make a difference: 

1) Anchor programs in business needs.
2) Prioritize outcomes over hours.
3) Layer in cross-team dynamics – blend generations for knowledge exchange. 
4) Track outcomes beyond sign-off by embedding metrics.

The sections below offer practical ways to refine current set ups— intentional shifts to source, deliver, and demonstration of upskilling/reskilling gains—strengthening what exists.

Final Thoughts

Upskilling and reskilling strategies in 2026 and beyond will not close skill gaps through ambitions and scale alone, but on designs that fit the moment: precise needs audits, practical programs, proactive barrier management, honest metrics tracking. They channel national momentum—like high-satisfaction training or drops in unemployment—into business realities. When embedded as HR system cores, these efforts stop deferring skill gaps to later crises but address them head-on and combine multigenerational strengths with green/digital shifts to deliver the productivity national policies demand. Not perfectly,  certainty, but steady controlled progress in an imperfect market. They create steady capability, turning market pressures into shared progress.

Footnote:
¹⁾ Kartu Prakerja (Pre-Employment Card) is Indonesia’s national digital training platform offering subsidized courses, job matching, and incentives—used interchangeably here with “Pre-Employment Cards.”

²⁾ SDM Unggul (Sumber Daya Manusia Unggul) is Indonesia’s national initiative for building superior human resources, focusing on certifications and training in high-demand areas like digital skills, green jobs, and vocational competencies to support RAPBN productivity goals.

Further Reading:

• https://sdgs.un.org/partnerships/program-kartu-prakerja
• https://www.mckinsey.com/mgi/our-research/the-enterprising-archipelago-propelling-indonesias-productivity
• https://training-indonesia.org
• https://www.business.gov.uk/export-from-uk/markets/indonesia/sector-explainers/uk-indonesia-green-skills-collaboration-report
• https://energytracker.asia/indonesias-green-jobs-potential
• Analisis Efektivitas Program Reskilling dan Upskilling Dalam Mengatasi Kesenjangan Keterampilan di Indonesia, IPSSJ, Volume 2 No.3 2025, E-ISSN: 3064-4011 (PDF)
• https://business-indonesia.org/news/beyond-the-slowdown-the-digital-and-green-turn-in-indonesian-employment 
• https://www.eria.org/uploads/Accelerating-Digital-Transformation-Indonesia-rev3.pdf