AI expands the CIO remit, but it also exposes a management gap: many enterprises are still trying to run AI as a set of experiments inside a traditional IT boundary. That is rarely enough. The practical question for leadership is not whether IT “owns” AI, but how decision rights, funding, and accountability are shared across business, data, risk, legal, and operations.
The first implication is operating model design. AI initiatives often fail when teams treat model selection, data preparation, workflow redesign, and control testing as separate workstreams. Executives should ask who can approve use cases, who can stop them, and who is accountable when outcomes drift. Without that clarity, AI becomes a diffusion of responsibility problem rather than a productivity program.
The second implication is portfolio discipline. AI promises broad value, but the next step is prioritisation: which processes justify change, which risks are acceptable, and which opportunities are too immature to fund. CIOs and business leaders should insist on a common scoring model that weighs expected benefits, data readiness, regulatory exposure, change effort, and time to measurable impact. That forces trade-offs to be explicit instead of political.
The third implication is organisational change. AI adoption depends on whether managers redesign roles, metrics, and escalation paths, not just deploy tools. A useful next question is whether leaders are measuring task completion, decision quality, or customer outcome—and whether the workforce has the authority and training to act on AI-assisted recommendations. In this sense, the CIO becomes less a technology owner than a convenor of enterprise decisions.
A generation of CIOs built careers on running technology systems with a steady progression to the cloud and digital transformation. With the advent of meaningful AI toolkits and with the data and cloud foundations for change (hopefully) in place, the next generation of technology leaders will be defined by whether they can lead the business reinvention that technology now makes possible.
In interviews with 21 technology leaders and the providers that serve them, we found some responsibilities for CIOs that elevate their careers beyond technology strategy and execution, AI governance, and risk mitigation into business leadership, including:
- Business advisor. The regional CEO of a global insurer quips: “Technology is becoming the engine of the company. You’re not IT; you’re a business consultant to me.” AI only accelerates this requirement: for CIOs to bring the technology reality to guide an intelligent business choice where AI can make a difference. (It’s not everywhere, as the ROI, adoption, and proof-of-concept failures attest.) That requires a CIO with technology chops and a business mindset and experience.
- Data custodian — both structured and unstructured. Firms such as Bank of America that have spent billions to bring their data under control have a leg up on AI transformation. CIOs have long been the stewards of structured data. But CIOs must also lead the charge on putting knowledge to work, and that means also curating unstructured data. Pallavi Katiyar of Tech Mahindra confirms: AI is “where unstructured data and structured ‘business’ data enters the conversation.”
- Solution orchestrator. If CIOs don’t bring all the pieces together, who will? “The faster the movement, the more important orchestration is,” says Marc Schuuring of Boston Consulting Group. This includes putting the systems together to deliver agentic workflows and coordinate the people in operations, technology, security, finance, and business to plot the roadmap and transform the process. One AI-powered claims processing solution draws on a dozen or more systems, making the CIO’s role more politician than execution wonk.
- Brand protector. If AI is the new face of customer engagement, then it must represent the brand and values of the company. “CIOs are being asked to ensure the quality [of AI outputs]. Nobody else is stepping up to do that. If this doesn’t work right, it could damage the brand,” warned Naveen Sharma of Cognizant. IBM’s Francesco Brenna echoed this concern, stating that CIOs are shifting toward being “accountable for business outcomes, including brand reputation.”
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