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Yes—but “more than ever” describes the breadth and complexity of the job, not proven longer working hours. The modern CIO may be responsible for reliable operations, cybersecurity, cloud economics, data, artificial intelligence, digital products, regulatory exposure, workforce change and sometimes a profit-and-loss account. That expansion is valuable when it gives the CIO authority, resources and a place in business strategy. It is harmful when companies add every new technology priority to an already overloaded executive without clarifying what can stop, move elsewhere or be funded properly.
What “stretched” means for a CIO
There is no reliable historical series proving that CIOs work more hours than every previous generation. The stronger, defensible claim is that the role now carries more types of accountability and more interdependent decisions.
- Breadth: infrastructure, applications, cloud, security, data, AI, products and employee technology may all sit in or alongside the CIO’s portfolio.
- Velocity: AI and cyber decisions often have to be made before the technology or risk picture is fully settled.
- Interdependence: a platform choice can affect every department, customer channel, supplier and control function.
- Accountability: boards increasingly expect business outcomes, not just uptime and project delivery.
- Ambiguity: responsibility for AI, data, security and transformation is often shared among the CIO, CISO, CTO, chief data officer and business leaders.
That is different from workload alone. A CIO can delegate operational tasks and still face a larger span of control, harder trade-offs and greater strategic exposure.
The evidence points to a broader mandate
Foundry’s 2025 State of the CIO research surveyed 906 IT leaders and 250 line-of-business professionals. Forty-one percent described the CIO role as strategic, up from 35% in 2024, and 75% expected greater CIO involvement in AI and machine learning. These are reported survey perceptions, not a census or a measurement of hours worked. Read the Foundry executive summary.
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CIO.com’s summary of the same research says CIOs planned to spend more time on AI and machine learning, cybersecurity, product development and innovation, and data analysis while continuing to run security, operations, modernization, process redesign and change.
Deloitte’s 2025 U.S. technology-executive survey, which included 622 senior technology leaders surveyed from March 7 to April 1, 2025, found that 36% of CIOs reported managing a P&L. It also found that 92% of respondents believed the CIO role would still exist in five years. Those figures describe this survey’s respondents, not all CIOs. See Deloitte’s survey findings.
The same research family found role clarity is a problem: 26% of surveyed technology leaders said maintaining clearly defined responsibilities was challenging. Deloitte’s role-reinvention summary describes technology leaders as integrators across strategy, talent, innovation, AI and transformation.
How the job expanded beyond “keep the systems running”
| Traditional emphasis | Expanding responsibility | Business consequence |
|---|---|---|
| Infrastructure and applications | Cloud architecture, platform engineering and FinOps | Technology choices affect capital allocation and operating margin. |
| Technical protection | Cybersecurity, resilience, continuity and third-party risk | Outages and breaches can threaten revenue, trust and legal compliance. |
| Reporting data | Data products, governance, analytics and AI | Data quality and access determine whether automation is safe and useful. |
| IT projects | Digital products, customer experience and workflow redesign | Technology becomes part of how the company competes and earns money. |
| Service delivery | Workforce skills, adoption and organizational change | Value depends on changed behavior, not installation alone. |
| Technology budget | Sometimes revenue or P&L ownership | Some CIOs are accountable for commercial performance as well as enablement. |
The role can also include vendor strategy, privacy, regulatory reporting, M&A integration, sustainability metrics and technology-risk disclosure. Not every CIO owns every item; the point is that the portfolio varies widely by company size, industry and reporting structure.
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Why AI intensifies the stretch
AI is not simply another application category. It changes the operating model, so the CIO may have to coordinate:
- use-case selection and prioritization;
- data, identity and infrastructure readiness;
- model, platform and vendor choices;
- sensitive-data controls and access policies;
- human oversight of agents and automated decisions;
- employee training, workflow redesign and adoption;
- measurement of business outcomes and retirement of failed pilots; and
- prevention of uncontrolled “shadow AI” bought by business units.
That work can increase near-term demand even if automation later saves time. Every pilot adds procurement, security, integration, governance and return-on-investment questions. Gartner reported that, in a July 2025 survey of more than 700 CIOs, respondents expected that by 2030, 75% of IT work would be performed by humans augmented by AI and 25% by AI alone. This is an executive forecast, not a guarantee of job elimination or workload reduction. Read Gartner’s forecast.
Why the expansion can be good
Technology decisions move closer to business strategy
When technology determines customer experience, speed to market and cost to serve, the CIO cannot be only a downstream service provider. CIOs are increasingly involved in innovation, market trends, customer needs and business-goal alignment, according to CIO.com’s account of the 2025 survey.
IT can be measured by enterprise outcomes
A broader mandate encourages scorecards based on revenue contribution, margin, customer retention, productivity, resilience, risk reduction, recovery time and launch speed rather than ticket counts alone.
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The CIO can connect functions that otherwise operate in silos
AI, data, automation and digital products cross marketing, sales, finance, operations, human resources and service. A CIO can provide shared architecture, standards and controls while business teams retain domain expertise.
The role can become a genuine enterprise-leadership path
Deloitte’s findings on P&L responsibility and the continued existence of the CIO role support a practical conclusion: technology leadership is being reorganized around enterprise value, not made irrelevant by every new chief digital, data or AI title.
When strategic stretch becomes executive overload
Unfunded mandates
Companies may demand modernization, AI deployment, stronger security, lower costs, hybrid-work support, acquisition integration and growth without adding budget, talent or time.
Responsibility without authority
A CIO can be blamed for AI outcomes while business units independently buy tools, connect sensitive data or deploy agents. Accountability is meaningless if the CIO cannot influence investment, standards or risk acceptance.
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Conflicting objectives
- cut spending while accelerating transformation;
- centralize controls while enabling local speed;
- increase security while reducing user friction;
- stabilize legacy systems while replacing them; and
- automate work while preserving employee trust.
Overlapping executive roles
A strong CISO, CTO, chief data officer, chief product officer or chief AI officer can add expertise, but unclear boundaries create duplicated platforms and disputed decisions. The organization needs a decision matrix, not just more titles.
Heroics, burnout and succession risk
If routine incidents and every strategic escalation depend on one person, the company has a resilience problem. A sustainable function operates through deputies, documented decisions, domain leaders and clear escalation rules.
A practical operating model for a sustainable CIO mandate
1. Write the enterprise charter
Specify whether the CIO owns or influences IT operations, cybersecurity, data, AI governance, digital products, architecture, transformation, investment and any P&L responsibility.
2. Match accountability to decision rights
For each major area, document who decides, funds, executes, accepts risk, measures results and reports to the board. Distinguish CIO accountability for the technology environment from CISO responsibility for security leadership or independent risk oversight.
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3. Separate strategic work from commodity operations
Use automation, managed services, shared services and delegated leaders where appropriate. The aim is not to abandon operations; it is to stop making the CIO the escalation point for every routine detail.
4. Use an outcome scorecard
Track revenue, cost reduction, cycle time, customer and employee experience, adoption, reliability, recovery time, launch speed and measurable AI results. A count of pilots is not a transformation metric.
5. Establish AI governance before scaling
- approved and prohibited use cases;
- data classification and access controls;
- human oversight and auditability;
- model, vendor, accuracy and bias review;
- incident response and change management; and
- retirement criteria for unsuccessful experiments.
6. Build a distributed leadership bench
Depending on the company, this may include a CTO or engineering leader, CISO, data leader, enterprise architect, operations head, transformation leader, AI platform owner and technology-finance or FinOps lead.
7. Make the board conversation outcome-based
The CIO should be able to explain what result a technology enables, what happens if the company does nothing, the major risks, the time to value, the capabilities to build internally and the work to automate, outsource or stop.
Trade-offs leaders must manage
| Choice | Benefit | Risk |
|---|---|---|
| Centralization vs. speed | Better security, standards and purchasing leverage | Slower experimentation and local responsiveness |
| Standardization vs. local fit | Less complexity and easier support | A common platform may not fit every region or business model |
| AI experimentation vs. governance | Faster learning and adoption | Data leakage, untraceable decisions and compliance exposure |
| Internal capability vs. outsourcing | Outsourcing can free strategic capacity | Excessive dependence can erode expertise and bargaining power |
| Efficiency vs. transformation capacity | Near-term savings | Understaffing can make modernization slower and costlier |
| Reliability vs. replacement | Stable legacy systems protect current operations | Replacement creates transition risk but may be necessary for future capability |
Cases where the model differs
- Small and midsize companies: one CIO may own infrastructure, security, applications, data and business operations. Gartner says more than 80% of midsize-enterprise CIOs planned to increase investment in both cybersecurity and AI in 2025, making capacity constraints particularly acute. See Gartner’s midsize-enterprise guidance.
- Regulated industries: privacy, model validation, auditability and approval processes can consume more capacity than deployment.
- Digital-native companies: the CIO may share authority with a CTO or chief product officer.
- Public-sector organizations: procurement, policy, funding cycles and legacy modernization may dominate.
- Global or M&A-heavy enterprises: data residency, regional rules, multiple clouds and integration waves make simplification harder.
How to judge whether a CIO mandate is healthy
- Is the scope explicit?
- Can the CIO influence investment and operating decisions?
- Does funding match expectations?
- Are business leaders jointly accountable for outcomes?
- Is there capable leadership beneath the CIO?
- Are AI, data, security and architecture decisions coordinated?
- Are outcomes measured consistently?
- Are routine escalations prevented from reaching the CIO?
- Are CISO, CTO, data and business-unit boundaries clear?
- Could the model survive a leadership change?
The bottom line for boards and CEOs
The question is not whether CIOs have more responsibilities. Surveys show a role that is becoming more strategic while retaining demanding operational, security and delivery obligations. The real test is whether the company has converted that expansion into an empowered enterprise function.
A good CIO mandate gives technology leaders a voice in strategy, measurable business outcomes, specialist support, funding and authority to set priorities. A bad mandate simply adds AI, cybersecurity, modernization and growth targets to the old workload. Strategic stretch is good; unfunded executive overreach is not.
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