General

upskilling / reskilling

Short-course pathways to rapidly build AI-relevant skills.

How the laws define this

Both instruments treat upskilling and reskilling as structured programs designed to build worker competencies, facilitate role transitions, and meet evolving labor-market demands. They agree that these initiatives serve as key mechanisms to align workforce skills with technical requirements. However, the instruments diverge in their subject focus and structural definitions. The AI Talent Roadmap for Malaysia 2024–2030 targets artificial intelligence specifically, viewing these measures as rapid, scalable pipelines delivered via short-course, micro-credential, and professional conversion programs to satisfy near-term industry demand for AI literacy and applied skills. Conversely, the National Strategy of Digital Skills of the Slovak Republic and Action Plan 2023–2026 addresses the broader digital economy and formally divides the terms, defining upskilling as enhancing existing digital competencies while reskilling refers to retraining workers for different roles and technologies.

Synthesised from the 2 statutory definitions below. Each one is quoted in full, with its source.

Definitions (2)

Short-course, micro-credential and professional conversion programs intended to rapidly equip workers with the AI literacy and applied skills needed to enter or transition into roles that require AI competencies. The Roadmap treats these as scalable pipelines to meet near-term industry demand.

Programs and processes designed to enhance existing digital competencies (upskilling) or to retrain workers for different roles and technologies (reskilling) to meet evolving labour-market needs in the digital economy.