TLDR: A new global study by Cisco, the third annual AI Readiness Index, highlights that a small group of ‘Pacesetter’ companies, representing 13% of organizations, are significantly outperforming their peers in profitability, productivity, and innovation due to their advanced AI readiness. These leaders prioritize AI integration, invest in scalable infrastructure, and implement robust security measures, demonstrating a disciplined, system-level approach to AI adoption. The study also warns of ‘AI Infrastructure Debt’ and the challenges posed by the rise of AI agents for less prepared organizations.
SAN JOSE, Calif. – October 14, 2025 – Cisco (NASDAQ: CSCO) has released the findings of its third annual AI Readiness Index, revealing that a distinct group of ‘Pacesetter’ companies are establishing a lasting competitive edge by strategically integrating Artificial Intelligence into their operations. This global study, encompassing over 8,000 AI leaders across 30 markets and 26 industries, identifies approximately 13% of organizations as Pacesetters, consistently outperforming their counterparts in realizing AI’s value.
The Pacesetters’ advantage stems from a disciplined, system-level approach that harmonizes strategic objectives with the necessary data and infrastructure to keep pace with AI’s rapid evolution. These leading companies are proactively designing their networks for AI’s growth, scale, and complexity, with 98% doing so compared to 46% overall. In India, this figure stands at 59% for overall companies, while Pacesetters globally maintain 98%.
Jeetu Patel, Cisco’s President and Chief Product Officer, emphasized the shift in the AI landscape: “We’re moving past the era of question-answering chatbots and stepping into the next major phase of AI: agents that independently execute tasks.” He added, “Today’s study shows that over 80% of companies are prioritizing agentic solutions, with two out of three reporting that these systems are already meeting or exceeding their performance goals. The evidence points to a massive competitive advantage: companies that are further along are seeing dramatically stronger returns than their peers.”
The research outlines a consistent profile for these high-performing Pacesetters:
AI as Core Business: Nearly all Pacesetters (99%) possess a defined AI roadmap (compared to 58% overall, and 67% in India) and 91% have a change-management plan (versus 35% overall, and 45% in India). Their budgets reflect this commitment, with 79% making AI a top investment priority (compared to 24% overall, and 32% in India) and 96% having both short- and long-term funding strategies (versus 43% overall, and 51% in India).
Scalable Infrastructure: These leaders architect for the ‘always-on AI era.’ 71% of Pacesetters report their networks are fully flexible and can scale instantly for any AI project (compared to 15% overall, and 20% in India), and 77% are investing in new data-center capacity within the next 12 months (versus 43% overall, and 51% in India).
Production-Ready Pilots: 62% of Pacesetters have a mature, repeatable innovation process for scaling AI use cases (compared to 13% overall, and 16% in India), and 77% have already finalized these use cases (versus 18% overall, and 24% in India).
Impact Measurement: 95% of Pacesetters track the impact of their AI investments—three times higher than other companies—and 71% are confident their AI use cases will generate new revenue streams, more than double the overall average.
Security as a Strength: 87% of Pacesetters are highly aware of AI-specific threats (compared to 42% overall, and 51% in India), 62% integrate AI into their security and identity systems (versus 29% overall, and 38% in India), and 75% are fully equipped to control and secure AI agents (versus 31% overall, and 45% in India).
This comprehensive approach translates into tangible results, with 90% of Pacesetters reporting gains in profitability, productivity, and innovation, significantly higher than the approximately 60% reported by other organizations globally (and 71% in India).
However, the study also highlights a growing disparity, particularly concerning AI agents. While 83% of organizations globally (and 91% in India) plan to deploy AI agents, and nearly 40% (41% in India) expect them to work alongside employees within a year, many companies lack the foundational infrastructure. More than half (54%) of respondents globally (and 25% in India) admit their networks cannot scale for the complexity or data volume required, and only 15% (20% in India) describe their networks as flexible or adaptable.
The report introduces the concept of ‘AI Infrastructure Debt’ – a modern form of technical debt arising from deferred upgrades and underfunded architecture that erodes AI’s long-term value. Early warning signs include 62% of companies expecting workloads to rise by over 30% within three years, 64% struggling to centralize data, only 26% having robust GPU capacity, and fewer than one in three being able to detect or prevent AI-specific threats. Pacesetters, through their foresight and investment discipline, are better positioned to mitigate these risks.
Also Read:
- Cisco Unveils Advanced AI Networking Solutions as Google Enhances Gemini Enterprise Platform
- Leading Edge Global Introduces AI Readiness Assessment to Guide Executive Teams
The Cisco AI Readiness Index 2025 is based on a double-blind survey of 8,000 senior IT and business leaders responsible for AI strategy at organizations with over 500 employees across 26 industries, underscoring that value in the AI era follows readiness.
