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Businesses that are ready for AI are 'breaking through'.

DNVN - Cisco has just announced the results of its AI Readiness Index, in which a small but stable group (Pacesetters - pioneers), accounting for approximately 13% of the organizations surveyed in Vietnam, are significantly outperforming other businesses in all aspects of AI (artificial intelligence) value.

Tạp chí Doanh NghiệpTạp chí Doanh Nghiệp16/10/2025

The sustainable advantage of the "Pacesetters" group demonstrates a new form of capability: a disciplined approach at the systems level, balancing strategic elements with the data and infrastructure needed to keep pace with the ever-increasing development of AI. 98% of this group proactively designed network systems to meet the growing demands, scale, and complexity of AI – compared to only 58% in Vietnam.



The combination of foresight and a solid foundation is yielding concrete, tangible results, especially in the context of two major factors beginning to reshape the current AI landscape: AI agents – technologies that raise the bar in terms of scale, security, and governance; and AI Infrastructure Debt – the "AI infrastructure debt" that shows early signs of potential bottlenecks that could diminish the long-term value of AI.

“The results of Cisco’s 2025 AI Readiness Index clearly show one thing: readiness determines value. AI-ready businesses – the Pacesetters group – are prime examples. They are five times more likely to bring pilot projects to life and achieve 30% higher measurable results. As organizations enter the AI ​​agent deployment phase, their success will depend on readiness, discipline, and concrete action,” shared Nguyen Nhu Dung, Managing Director of Cisco Vietnam, Laos, and Cambodia.

According to the report, 93% of organizations in Vietnam plan to deploy AI agents, and nearly 38% expect these systems to work collaboratively with employees within the next year. However, for most businesses, the use of AI agents is revealing weaknesses – current systems are only capable of handling reactive tasks and cannot yet operate AI systems capable of automated decision-making and continuous learning. 27% stated that their current networks cannot scale to meet increasing complexity or data volume, and only 18% described their systems as highly flexible and adaptable.

Meanwhile, the pioneering group continues to be the exception, helping to lay a solid foundation for the future expansion of AI.

Thu Ha

Source: https://doanhnghiepvn.vn/chuyen-doi-so/nhung-doanh-nghiep-san-sang-cho-ai-dang-but-pha/20251016103224758


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