This page preserves a reference summary of the AI Innovation Ecosystem (AI-IE) and the GAIS model from the National AI Roadmap 2021–2025, published by MOSTI (ISBN 978-967-19025-5-4) and reproduced for research and citation with attribution. The full text is in the Playbook PDF; the official copy is at mastic.mosti.gov.my. Independent four-year analysis of how this strategy fared is in Roadmap vs Reality.
Underneath the six strategies sat a single organising idea: that AI progress is not the product of any one actor but of an ecosystem. The roadmap called this the AI Innovation Ecosystem (AI-IE), and built it on a “quadruple helix” the AI-Rmap abbreviated as GAIS — Government, Academia, Industry and Society working as co-designers rather than in isolation.
The vision was explicit: to make Malaysia “a nation where artificial intelligence augments jobs, drives national competitiveness, and encourages innovation and entrepreneurship”, and the mission was to create “a thriving national AI ecosystem that allows everyone — government, business and people — to capitalise on the benefits of AI in a secured and safe manner.”
The quadruple helix (GAIS)
- Government — sets direction, governs, funds, and is itself a major adopter of AI in public services.
- Academia — produces research, talent and the knowledge base the ecosystem draws on.
- Industry — commercialises AI, creates demand and jobs, and supplies real-world problems to solve.
- Society — the public whose trust, adoption and well-being are both the input and the ultimate measure of success.
The AI-Catalyst at the centre
The nucleus of the ecosystem was the AI-Catalyst: a virtual hub that would convene consortia from across the helix to tackle specific national challenges — the eleven National AI Use Cases. The idea was a flywheel: each consortium delivers a use case; the use case proves value and builds capability; that capability attracts talent and investment; which seeds the next round of projects.
The economic logic
The ecosystem was justified in hard economic terms. Drawing on McKinsey modelling, the roadmap held that Malaysia’s baseline growth of about 4.4% could gain a further 1.2 percentage points from AI — framed as roughly a 30% uplift to GDP growth — provided the country built genuine capability across the helix rather than merely consuming imported tools. An annual economic-impact assessment was proposed to track this over the plan period.
The quadruple-helix vision proved durable, but the AI-Catalyst as the operating mechanism did not take hold; coordination eventually came from the National AI Office under a different ministry, and the ecosystem that grew was shaped more by private data-centre investment than by the Catalyst model. Read the four-year review →