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Three developments shaping AI across Asia: regulation, infrastructure, and real-world use, in under two minutes.
Policymakers | AI developers | Business leaders
Watch for increased regional specialisation in AI development and regulation.
India has confirmed further investment into nationally controlled AI compute and model infrastructure, treating AI as strategic national infrastructure. The focus is on public sector deployment, language coverage, and domestic capacity rather than reliance on foreign hyperscalers.
Singapore-based enterprises are increasingly embedding AI into compliance, reporting, and operational decision-making rather than running isolated pilots. The emphasis is on governance, auditability, and reliability over experimentation.
Regulators in China are signalling closer oversight of material model updates, even after initial approvals. Iteration cycles are slowing as updates increasingly require notification or review. ## Bonus signal: Western enterprise AI controls accelerate adoption in Asia Major Western AI platforms are rolling out stronger enterprise controls around permissions, audit, and internal use. While launched in the West, these features align closely with Asian enterprise and regulatory expectations, likely accelerating adoption across APAC. That’s 3-Before-9: the signals that matter before the day gets noisy. Want this daily? You can subscribe [here](https://aiinasia.com/contact).
Western enterprise AI controls accelerate adoption in Asia Major Western AI platforms are rolling out stronger enterprise controls around permissions, audit, and internal use. While launched in the West, these features align closely with Asian enterprise and regulatory expectations, likely accelerating adoption across APAC. That’s 3-Before-9: the signals that matter before the day gets noisy. Want this daily? You can subscribe [here](https://aiinasia.com/contact).
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