- A report by STT GDC shows that about 90% of Asian businesses have started adopting AI, but up to 71% are unable to scale from testing to actual operation.
- The survey covered 644 companies across sectors such as finance, manufacturing, and energy, with 43% being enterprises with over 1,000 employees.
- Only 16% of businesses have a complete AI operating strategy with full infrastructure and governance, and only 1% have truly integrated AI comprehensively into business operations.
- Up to 56% of companies cannot measure the production value from AI and face budget constraints, making ROI unclear.
- Infrastructure is a major barrier: nearly 50% lack computing power, and only 7% are capable of handling complex AI.
- 82% of businesses experience network issues such as latency and bandwidth congestion, directly affecting AI performance.
- 83% report that less than half of their IT systems are AI-ready, causing difficulties in user experience and data compliance.
- Asia is divided into two groups: mature markets like Singapore, Japan, and South Korea, and emerging markets like Vietnam and Indonesia with resource advantages but a lack of skills and governance.
📌 Conclusion: The report reveals a major paradox: although 90% of businesses have accessed AI, only 1% have successfully implemented it comprehensively. The main causes lie in weak infrastructure, lack of human resources, and the difficulty of measuring value, with 56% of businesses unable to determine ROI. Technical issues, such as 82% facing network errors and only 7% having sufficient computing capacity, further slow down the process. However, the combination of mature and emerging markets could help Asia become a global AI infrastructure hub if these barriers are overcome.
