Bridging the AI Readiness Gap: Kyndryl Urges Enterprises to Invest in People, Not Just Platforms, Podcast

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“Organizations are eager to adopt AI — but 71% of leaders say their workforce isn’t ready.” — Paul Savill, Global Practice Leader, Network and Edge, Kyndryl

At Cisco Live 2025 in San Diego, Paul Savill, Global Practice Leader for Network and Edge at Kyndryl, joined Doug Green, Publisher of Technology Reseller News, to spotlight a critical — and often overlooked — component of AI transformation: people readiness.

While 95% of enterprise leaders say they’re using AI, Kyndryl’s latest People Readiness Report reveals a stark disconnect: 71% of those same leaders believe their workforce is not prepared to make full use of the technology.

As the world’s largest IT managed services provider, Kyndryl supports global enterprises with full-stack IT solutions — and people remain at the heart of that mission. “Our 80,000 engineers and technicians are on the front lines of IT transformation,” said Savill. “Understanding how ready they are — and helping them become more ready — is essential.”

The report, based on a global survey of CIOs, CTOs, and CEOs, also uncovered tension at the executive level:

43% of CEOs said external hiring is the top strategy for bridging AI skills gaps.
But only 16% of CIOs/CTOs agree, instead prioritizing internal reskilling.

According to Savill, this internal approach includes developing cross-functional expertise, especially as networking, security, and cloud operations rapidly converge. “We’re merging roles, job descriptions, and even operational centers,” he noted. “Networking professionals need to understand security. Security teams need to understand cloud.”

Savill also emphasized the importance of breaking down silos to prevent cloud misconfigurations — a leading cause of security breaches. “Misconfigurations often stem from a lack of collaboration across teams. Training people to work across domains is critical.”

Kyndryl’s work with Cisco, particularly in data center networking and edge services, now extends into AI and even quantum computing readiness. These next-gen technologies, Savill warned, require not just platform adoption but deep workforce transformation to be deployed securely and effectively.

As AI adoption accelerates, data quality becomes the cornerstone of success. “You can’t train an effective AI with bad data,” said Savill. “Foundational work around data integrity, structure, and governance is as important as the AI tools themselves.”

The podcast concluded with a reflection on AI anxiety in the workplace — and a message of optimism. “There are legitimate concerns about job displacement,” Savill acknowledged. “But our research shows that most technical leaders want to reskill their existing teams. And when companies invest in their people, the results will be extraordinary.”

For more information, visit kyndryl.com.

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