Malaysia PM urges cutting old bureaucracy to accelerate national AI push

Anwar’s comments show how AI has moved from a tech buzzword to a headline political issue in middle-income countries. When a prime minister frames legacy bureaucracy as a direct obstacle to national AI ambitions, it signals that regulatory friction, procurement rules and institutional culture are now recognised as strategic variables in the AI race. For Malaysia, tying AI development explicitly to higher education is also a statement about talent pipelines: the country does not want to be just a consumer of foreign AI platforms but a contributor to the underlying capabilities. ([berita.rtm.gov.my](https://berita.rtm.gov.my/nasional/senarai-berita-nasional/senarai-artikel/pm-gesa-birokrasi-lama-tidak-halang-pembangunan-ai-negara/?utm_source=openai))

In the broader race to AGI, moves like this matter because they determine how quickly foundational models and agentic systems will diffuse beyond G7 economies. Countries that proactively streamline governance around AI in universities and public research labs can both adopt and adapt frontier tools faster, potentially contributing novel applications and safety techniques. Conversely, if bureaucracy wins, local ecosystems may default to foreign platforms without building domestic depth, reinforcing an AI core–periphery dynamic.