There is little question that CIOs can deliver. Transformation with AI Demand is high. They will increasingly act as the right-hand partner of the modern CEO. The question is how do they actually get there?
Too often AI efforts focus on tactical, easy wins, especially improving personal productivity through generative AI. But real change requires much more. It means changing core business processes, not just improving individual outcomes.
CIOs making that change start by identifying where AI can be done. Drive meaningful business value — It’s not just a technical victory. It sounds easy, but it’s actually not.
How CIOs can lead AI transformation
CIOs who deliver real results focus on how AI transforms business outcomes, not just quick technical wins. It’s easy to deploy a generative AI platform and instruct your employees to use it, or adopt agent AI built into existing tools. Adoption alone is not enough to create a competitive advantage. Requires intentional design.
This means CIOs and their teams need to co-create solutions with the business, targeting specific areas where AI can change outcomes, such as improving the customer experience or rethinking how the entire team does things.
For many organizations, this represents a change in the role of the CIO. We need leaders who embrace AI personally and can think like executives about how it reshapes functions, operations, and value propositions.
Just as important, these CIOs measure results. This means tracking business outcomes, not activities, and ensuring that subsequent AI efforts lead to real outcomes.
The next challenge is to build a foundation that can support scale. CIOs need to own, rather than 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. By doing so, you can ensure that your AI efforts are not ineffective. Stalls after initial pilot.
That work takes time. CIOs often have to convince companies to wait until the groundwork begins, beyond the so-called “digital desert.”
AI transformation occurs at the intersection of technology and business value. CIOs play a central role in ensuring that AI initiatives do not languish as isolated experiments. And many do. While there are strong reasons to doubt the 95% figure released by MIT this summer, stagnation is a deep-seated problem that is often caused by three factors: immature data, lack of clear business value, and insufficient guardrails. Each is squarely within the CIO’s responsibility. Addressing each challenge requires strong partnerships with business leaders and clear accountability for results.
“CIOs are best placed to lead AI strategy through education, but strategy alone is not enough. Success requires deep partnership with the business,” said Jonathan Feldman, CIO of Wake County, North Carolina.
This means that the CIO is not just the implementer or sole creator of business transformation. We need to work with business leaders to translate the potential of AI into operational actions and apply concepts like “teams of teams” to simplify the delivery of transformation through a clear accountability framework.
Building trust, guardrails, and accountability in AI
With this in place, CIOs must ensure that the right culture, guardrails, and trust are in place. This includes shaping how organizations approach data, ethics and accountability to enable responsible innovation. Nicole Coughlin, CIO of Cary, North Carolina, reinforced this leadership responsibility, stating, “CIOs should lead in setting the culture and guardrails. CIOs are uniquely positioned to shape how the organization thinks about data, ethics, and accountability. AI transformation is not just about tools; it’s about creating a trusted environment in which to innovate responsibly.”
After completing this, the CIO must drive change in the enterprise. This means leading adoption across the organization, aligning culture, and moving AI from experimentation to production.
This includes measuring results and value. That means defining success criteria, tracking business impact, and ensuring your AI initiatives deliver measurable results.
At the same time, CIOs need to drive cultural change by building digital literacy and trust and helping employees understand how AI makes decisions and that human judgment still matters. In other words, the role of the CIO is to make AI part of daily business operations, rather than a standalone experiment.
Personal transformation for CIOs
Personal transformation is also necessary. This means adapting your personal mindset, leadership style, and influence to lead AI-driven change. It also means evolving leadership thinking about AI, moving from a command-and-control and purely customer-driven approach to one that balances innovation, compliance, collaboration, and experimentation.
“Personal transformation is determined by who you are,” Feldman says. “If you have a directive, compliance-oriented mindset, you need to take a step back. You need to deal with uncertainty and create a community of practice. It’s similar to what I did with data. You need to enable collaboration and experimentation. If you’re a customer-focused CIO, you need to take a step back and look at compliance. You don’t want to be in the Wall Street Journal.”
It is important for CIOs to lead with humility and curiosity during this process. This means accepting that AI is advancing too fast to ever fully master it, and instead focusing on asking better questions, continually learning, and exposing yourself to diverse perspectives. Tata CIO Janardhan Santhanam CIOs say they no longer function solely as technology providers. “AI challenges us to pursue true business transformation,” he said. “CIOs must now reimagine their companies and focus on redesigning their core business processes. In this shift, CIOs will be leaders in enterprise transformation.”
This requires CIOs to develop the skills to turn experimentation into value at scale. This includes setting clear success metrics, avoiding pilot purgatory, and building a disciplined framework that connects AI efforts to measurable outcomes.
This also requires CIOs to collaborate across the organization to build trust and empower their teams. This includes creating communities of practice, enabling safe experimentation, and moving from control-centered leadership to empowerment-driven leadership.
And finally, in this wave of transformation, CIOs need to become leaders in enterprise transformation. They need to go beyond their role as technology providers to redesign business processes and drive enterprise-wide business transformation.
it’s a matter of vision
AI transformation means more than just tactical victories. To be strategic, CIOs need to help distill the vision. They need to continually learn as well as personally change. The role of the CIO has changed significantly, and today’s CIOs are relationship builders who help drive AI transformation, even as they navigate digital deserts along the way.
