Malaysian companies are among the most eager in Asia to put money into artificial intelligence, and a new Alibaba Cloud survey suggests the country is now one of the region's most confident markets on AI adoption. It was the only market polled where every organisation said it plans to increase AI investment over the next 12 months.

The finding comes from Alibaba Cloud's AI Business Application Readiness and Accessibility Survey, which questioned 1,000 IT decision-makers across eight Asian markets: Japan, South Korea, Hong Kong, the Philippines, Thailand, Singapore, Indonesia and Malaysia.

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Malaysia stands out on AI adoption

Across the eight markets, appetite is broad. 95% of companies said they will raise spending on AI products and 90% described themselves as optimistic about adopting it. Malaysia sat at the top end of almost every measure the survey reported.

  • 92% of Malaysian organisations said they are confident about AI adoption.
  • 60% are already exploring or implementing AI initiatives.
  • 100% plan to increase AI investment over the next 12 months, the only market in the study to reach that figure.
  • 97% intend to raise spending on AI infrastructure, the underlying computing power (IaaS).
  • 90% plan further investment in AI platforms and model services (PaaS and MaaS).
  • 72% named AI-powered customer service, such as chatbots, as a key use case.
  • 53% cited improving customer experience as a main objective for adopting AI.
Alibaba Cloud's survey covered 1,000 IT decision-makers across eight Asian markets, with a Malaysia spotlight. Source: Alibaba Cloud.

What businesses are using AI for

The survey also asked where companies are applying AI first. Data analysis and decision-making led the list at 66%, followed by customer service at 64%, marketing and content creation (text, images and video) at 58%, product development and coding at 55%, and human resources and operations at 38%.

On how they want AI delivered, 45% of Asian companies preferred a fully integrated AI and cloud setup, the most popular option. Another 34% wanted hybrid flexibility that runs AI models across more than one cloud, 16% opted for standalone AI models without bundled cloud infrastructure, and 5% had no preference.

The barriers that remain

Enthusiasm aside, the survey points to real obstacles. Data privacy and security concerns topped the list at 48%, ahead of high implementation costs (42%), a lack of in-house expertise (37%), regulatory and ethical concerns (31%) and integration challenges (28%). That mix is why the study frames the opportunity around secure, end-to-end AI rather than adoption for its own sake.

What it means for Malaysian businesses

For companies here, the question is shifting from whether to use AI to how to do it safely and at scale. The intent is clearly there, with spending set to rise across infrastructure, platforms and applications. The harder part, on the survey's own evidence, is closing the gap on cost, skills and data protection before the investment can pay off.