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There's little question that CIOs who can deliver AI-driven transformation are in high demand. Increasingly, they will act as the right-hand partner of the modern CEO. The question is how they actually get there.

Too often, AI efforts focus on tactical, easy wins -- especially personal productivity gains through generative AI. Real transformation, however, requires more. It means changing core business processes, not just improving individual output.

CIOs who make that shift start by identifying where AI can drive meaningful business value -- not just technical wins. That sounds straightforward, but in practice it is not.

How CIOs lead AI transformation

CIOs who deliver real results focus on where AI changes business outcomes. It's easy to roll out a generative AI platform and tell employees to use it, or adopt agentic AI embedded in existing tools. Creating competitive advantage takes more than deployment; it requires deliberate design.

Related:7 behaviors of the AI-Savvy CIO

That means CIOs and their teams must co-create solutions with the business, targeting specific areas where AI can change outcomes -- whether improving customer experience or reworking how things get done across teams.

For many organizations, this represents a shift in the CIO role. It calls for a leader who has personally embraced AI and can think like a business executive about how AI reshapes capabilities, operations and value proposition.

Just as important, these CIOs measure outcomes. That means tracking business outcomes -- not activity -- and ensuing AI efforts translate into real results.

The next challenge is building a foundation that can support scale. CIOs must own -- not delegate -- data architecture, governance and security, while creating a roadmap to expand beyond initial use cases. In the past, these responsibilities were often left to others. At the same time, CIOs need to build digital literacy and trust across the workforce, so AI efforts don't stall after early pilots.

That work takes time. CIOs often need to convince the business to wait while the foundational work is put in place -- crossing what's often called the "digitization desert."

AI transformation occurs at the intersection of technology and business value. CIOs play a central role in ensuring AI efforts do not stall as isolated experiments. And many do. While we have strong reasons to doubt the 95% number that was published this summer by MIT, stalled initiatives are a persistent problem, often driven by three factors: data immaturity, lack of clear business value and insufficient guardrails. Each falls squarely within the CIO's responsibility. Addressing each one requires strong partnerships with business leaders and clear accountability for outcomes.

Related:CIO role in unlocking strategic value: How to determine and implement AI use cases

Jonathan Feldman, CIO of Wake County, N.C., said that "while the CIO is most qualified by education to lead AI strategy, strategy alone is not enough. Success requires deep partnership with the business."

This means CIOs are not just implementers or sole creators of business change. They must work with business leaders to translate AI potential into operational action, applying concepts like "team of teams" to simplify transformation delivery through clear accountability frameworks.

Building trust, guardrails and accountability for AI

With this in place, CIOs need to ensure the right culture, guardrails and trust are established. This involves shaping how the organization approaches data, ethics and accountability to enable responsible innovation. Nicole Coughlin, CIO of the Town of Cary, N.C., reinforced this leadership responsibility, noting that "CIOs should lead in setting the culture and the guardrails. CIOs are uniquely positioned to shape how an organization thinks about data, ethics and accountability. AI transformation isn't just about tools; it's about creating a trusted environment where innovation can happen responsibly."

Related:Scaling AI value demands industrial governance

Having done this, CIOs need to drive enterprise change: lead organization-wide adoption, align culture and move AI from experiments to operational reality.

This includes measuring outcomes and value. That means defining success criteria, tracking business impact and ensuring AI initiatives deliver measurable results.

At the same time, CIOs must champion cultural change by building digital literacy and trust, helping employees understand how AI decisions are made and where human judgment remains essential. In short, the CIO's role is to make AI part of everyday business operations -- not an isolated experiment.

CIO personal transformation

Personal transformation is needed, too. This means adapting one's personal mindset, leadership style and influence to guide AI-driven change. It also means evolving one's leadership mindset for AI -- shifting from command-and-control or purely customer-driven approaches toward balancing innovation, compliance, collaboration and experimentation. 

"Personal transformation depends on who you are," Feldman said. "If you issue orders and have a compliance-oriented mindset, you need to take a step back. You need to deal with uncertainty and create communities of practice. This is like what I have done with data. You need to enable collaboration and experimentation. If you are a customer-oriented CIO, you need to take a step back and look at compliance. You don't want to appear in The Wall Street Journal."

It is critical in this process that CIOs lead with humility and curiosity. This means accepting that AI is moving too fast to fully master and focusing instead on asking better questions, learning continuously and surrounding yourself with diverse perspectives. Tata CIO Janardhan Santhanam said CIOs no longer function solely as technology providers. "AI pushes us to pursue true business transformation," he said. "CIOs must now focus on reimagining their companies and redesigning core business processes. In this shift, they become enterprise change leaders."

With this, CIOs must develop the skills to turn experimentation into scaled value. This involves setting clear success metrics, avoiding pilot purgatory and building disciplined frameworks that connect AI efforts to measurable outcomes. 

With this, CIOs also need to work throughout the organization to build trust and empower teams. This involves creating communities of practice, enabling safe experimentation and moving from control-centric leadership to empowerment-driven leadership. 

And finally, during this wave of transformation, CIOs need to become an enterprise transformation leader -- moving beyond being a technology provider to redesigning business processes and driving company-wide business reinvention.

It's the vision thing

AI transformation is about more than tactical wins. To be strategic, CIOs need to help distill a vision. They need to not only continually learn but also personally transform. The CIO role has undergone significant change, and today's CIO is a relationship builder who helps drive AI transformation -- even when navigating a digitization desert along the way. 

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