Malaysia pushes AI governance to reach top-10 status by 2030

Malaysia’s National AI Office is using governance, regional cooperation and inclusion to support a bid to become a top-10 global AI nation by 2030. The plan, outlined by NAIO head Sam Majid on the RegulatingAI Podcast, ties AI growth to safety, workforce readiness and locally grounded policy.

Why it matters: - Malaysia is trying to prove that AI growth and strong oversight can move together. - The country’s approach could shape how emerging economies build AI policy without copying larger powers. - The strategy centers on public trust, workforce readiness and broad-based economic gains, not just headline rankings.

What happened: - Sam Majid, head of Malaysia’s National AI Office, appeared on the RegulatingAI Podcast with host Sanjay Puri. - Majid said Malaysia aims to become a top-10 global AI nation by 2030. - NAIO was established in December 2024 under Malaysia’s Ministry of Digital. - NAIO serves as the country’s central hub for AI policy, governance and adoption. - NAIO spent its first year aligning ministries, regulators, academia and industry around a national AI agenda.

The details: - NAIO has formed seven working groups made up of senior private-sector executives and experts who volunteer to help shape Malaysia’s AI strategy. - Malaysia is treating industry leaders as partners in nation-building, not just as private-sector stakeholders. - The government is using the AI Nation 2030 blueprint to pursue regulation and innovation at the same time. - Malaysia is connected to international AI standards, but it is also building domestic measurement systems tied to local social, economic and cultural priorities. - Majid said relying only on international rankings can force countries to accept someone else’s definition of success. - Malaysia plans to judge AI progress by local realities, workforce needs and national development goals. - Malaysia is leading work to create an ASEAN AI Safety Network. - The network is designed to support AI safety research, harmonize standards and promote knowledge sharing across Southeast Asia. - The ASEAN model is expected to preserve national sovereignty while improving interoperability among member states. - The network is intended to include governments, businesses, academic institutions and civil society organizations. - Research suggests AI could add up to $115 billion to Malaysia’s GDP by 2030. - Malaysia is focusing on workforce upskilling, SME enablement, startup development, public-sector transformation and digital inclusion. - Roughly 500,000 public-sector employees already have access to advanced generative AI tools. - Malaysia has identified six priority sectors for AI-driven growth and investment: agriculture, transportation, education, healthcare, SMEs and the public sector. - Malaysia is investing in localized datasets and bias testing to make AI systems reflect Malaysian realities. - Policymakers are also supporting AI literacy programs for children, including AI ethics coloring books.

Between the lines: - Malaysia is building an AI model that blends economic ambition with cultural and political caution. - The country’s emphasis on local measurement, regional coordination and bias testing suggests a desire to avoid imported governance templates. - The inclusion agenda points to a broader goal: spreading AI benefits beyond large technology firms and infrastructure investors.

What’s next: - Malaysia will continue building out AI Nation 2030 as it works toward its 2030 target. - The ASEAN AI Safety Network is expected to expand cooperation on safety and standards across Southeast Asia. - AI rollout in Malaysia will likely keep centering on public-sector use, sector-specific adoption and local trust-building.

The bottom line: - Malaysia is betting that AI leadership will come from governance, inclusion and regional cooperation as much as from raw technical capacity.