Taiwanese enterprises’ AI applications are accelerating, but risk management is warning signs. Two major indicators fell into contraction range.

As artificial intelligence (AI) accelerates its introduction into enterprise operations, in addition to improving work efficiency, how to effectively manage the potential risks brought by AI has also become an important issue facing enterprises. Dun & Bradstreet, an American company, announced the "Taiwan Enterprise AI Momentum Index" survey for the fourth quarter of 2026. The results showed that although the AI ​​application momentum of Taiwan enterprises continues to expand, the "AI Risk Mitigation Index" and "Technology Readiness Index" both fell in the contraction range below 50.

According to a survey by Dun & Bradstreet, the AI ​​Momentum Index of Taiwanese companies in the fourth quarter was 57, down from 60 in the third quarter and a high of 72 in the second quarter, but still maintained in the expansion range above 50, indicating that overall AI investment and application momentum continues to be positive.

However, as Taiwanese companies rapidly introduce AI into production and operating environments, there is still room for strengthening related risk management and technical structures. Looking further at various indicators, the AI ​​risk mitigation index of Taiwanese enterprises in the fourth quarter was 47, while the AI ​​technology readiness index was 49. Both indicators fell into the contraction range, reflecting that while enterprises are expanding AI applications, they still need to strengthen governance, technical structure and long-term management capabilities.

Among them, the lack of confidence in AI risk management deserves attention. The survey shows that about 33% of Taiwanese companies surveyed have strong or high confidence in identifying, monitoring and reducing AI risks, which is similar to the global level of about 34%. However, about 38% of Taiwanese companies express low or limited confidence, which is significantly higher than the global rate of about 21%, indicating that companies still have room for improvement in AI risk management.

In addition to risk management, there are also gaps in "technical architecture". Dun & Bradstreet’s survey pointed out that about 27% of Taiwanese companies surveyed adopt third-party platforms or modern cloud-native architectures, and about 43% globally. As AI gradually penetrates into daily operations of enterprises, system integration, platform architecture and large-scale management capabilities will also become an important foundation for enterprises to improve AI benefits.

As the scale of AI deployment expands, system integration, platform architecture, and large-scale management capabilities will also become an important foundation for enterprises to improve AI benefits. Overall, the AI ​​momentum of Taiwanese enterprises is still in the expansion range, but the competitive advantage is shifting from "extensive deployment" to "creating actual returns."

Dun & Bradstreet believes that if enterprises want to continue to expand the benefits of AI, they need to be based on business data that is trustworthy, connectable, and suitable for AI use, and coupled with a robust technical architecture and governance mechanism, in order to transform existing AI deployments into sustainable and scalable business value.