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Gartner: CIOs Must Tackle Next Set of Business Challenges from COVID-19

CIOs have increased their organizational credibility during the COVID-19 pandemic, but there are more complex challenges that CIOs must tackle during the recovery to sustain their elevated value, according to Gartner, Inc.

A Gartner CIO Research Circle (a Gartner managed panel) survey of 58 CIOs in May 2020 revealed that 43% of respondents said planning for their enterprises’ post-COVID-19 strategy has begun, while 38% were still dealing with the effects, but will turn to recovery soon.

“CIOs, in many organizations, were instrumental in dealing with the initial impact of COVID-19. Enterprises continue to operate with a heavy lift from IT organizations, especially in enabling a newly dispersed workforce to work from home. Consequently, many CIOs have a new opportunity to take a seat at the table when senior leaders decide enterprise strategy and which lines of business to ramp up and which ones to reduce,” said Andy Rowsell-Jones, Distinguished Research VP at Gartner.

The Gartner survey showed that the COVID-19 crisis has improved CIOs’ relationships with business leaders and the benefits flowed both ways. Almost 75% of respondents said they educated CEOs and other senior leaders during the crisis, while two-thirds of CIOs said they gained knowledge of business operations.

“The improved engagement with the CEO stems from business capabilities delivered by IT during the initial COVID-19 response,” said Rowsell-Jones. “For example, 67% of CIOs said they “assumed leadership of high-impact initiatives” during the response. That likely refers to supporting working from home for employees as 70% of CIOs listed support for working from home as their proudest accomplishment in the pandemic response. However, this goodwill with the CEO will fade quickly unless CIOs can extend it by helping the business deliver on other high-impact initiatives required during the recovery.”

Focus on the Next Set of Business Challenges to Sustain Momentum

The COVID-19 pandemic did not trigger a major IT reorganization and may have delayed one that was already underway. Many IT organizations were in the process of moving to a more product-centric delivery model when the pandemic struck and replaced these plans with something much more immediate. However, what worked well during the initial response to the pandemic will not carry the enterprise to success as organizations reset their strategy.

CIOs will have to make substantial changes to help their enterprises achieve their top business objectives during the recovery. The survey showed that CIOs already recognize some of the changes they need to make to the IT organization but may not realize how far they need to take the changes.

The Gartner survey asked respondents about changes in priority they made in response to COVID-19. A large percentage of CIOs did make some things a higher priority, including changing the organizational culture and aligning to business priorities. However, most CIOs who changed priorities did so only to a small degree, just enough to deal with the immediate crisis.

“For the IT organization to play a larger role in developing and executing the business strategy, CIOs will have to make a much larger degree of change in many areas. For example, using cloud services to deploy applications faster to remote workers may represent a significant change in platform for some enterprises, but it remains within the realm of operations,” said Rowsell-Jones. “A business-oriented IT strategy would likely involve the construction of a digital business technology platform — a long and complex undertaking.”

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Rapid AI adoption and the unique ways AI workloads operate is redefining the scope and structure of what these teams must deliver. This shift is forcing organizations to rethink how they manage scale, automation, and control, according to The State of SRE and Platform Engineering 2026, a new report from Dynatrace ...

AI is usually talked about as a software tool, but it also depends heavily on the network behind it. Whether a company is using AI for chatbots, automation, monitoring, analytics, or employee support, all of that information has to move across the network in a reliable and secure way. That means AI is not just an application decision. It is also an infrastructure decision. Before organizations rush into AI, they should ask a simple question: Is our network ready to support it? ...

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Gartner: CIOs Must Tackle Next Set of Business Challenges from COVID-19

CIOs have increased their organizational credibility during the COVID-19 pandemic, but there are more complex challenges that CIOs must tackle during the recovery to sustain their elevated value, according to Gartner, Inc.

A Gartner CIO Research Circle (a Gartner managed panel) survey of 58 CIOs in May 2020 revealed that 43% of respondents said planning for their enterprises’ post-COVID-19 strategy has begun, while 38% were still dealing with the effects, but will turn to recovery soon.

“CIOs, in many organizations, were instrumental in dealing with the initial impact of COVID-19. Enterprises continue to operate with a heavy lift from IT organizations, especially in enabling a newly dispersed workforce to work from home. Consequently, many CIOs have a new opportunity to take a seat at the table when senior leaders decide enterprise strategy and which lines of business to ramp up and which ones to reduce,” said Andy Rowsell-Jones, Distinguished Research VP at Gartner.

The Gartner survey showed that the COVID-19 crisis has improved CIOs’ relationships with business leaders and the benefits flowed both ways. Almost 75% of respondents said they educated CEOs and other senior leaders during the crisis, while two-thirds of CIOs said they gained knowledge of business operations.

“The improved engagement with the CEO stems from business capabilities delivered by IT during the initial COVID-19 response,” said Rowsell-Jones. “For example, 67% of CIOs said they “assumed leadership of high-impact initiatives” during the response. That likely refers to supporting working from home for employees as 70% of CIOs listed support for working from home as their proudest accomplishment in the pandemic response. However, this goodwill with the CEO will fade quickly unless CIOs can extend it by helping the business deliver on other high-impact initiatives required during the recovery.”

Focus on the Next Set of Business Challenges to Sustain Momentum

The COVID-19 pandemic did not trigger a major IT reorganization and may have delayed one that was already underway. Many IT organizations were in the process of moving to a more product-centric delivery model when the pandemic struck and replaced these plans with something much more immediate. However, what worked well during the initial response to the pandemic will not carry the enterprise to success as organizations reset their strategy.

CIOs will have to make substantial changes to help their enterprises achieve their top business objectives during the recovery. The survey showed that CIOs already recognize some of the changes they need to make to the IT organization but may not realize how far they need to take the changes.

The Gartner survey asked respondents about changes in priority they made in response to COVID-19. A large percentage of CIOs did make some things a higher priority, including changing the organizational culture and aligning to business priorities. However, most CIOs who changed priorities did so only to a small degree, just enough to deal with the immediate crisis.

“For the IT organization to play a larger role in developing and executing the business strategy, CIOs will have to make a much larger degree of change in many areas. For example, using cloud services to deploy applications faster to remote workers may represent a significant change in platform for some enterprises, but it remains within the realm of operations,” said Rowsell-Jones. “A business-oriented IT strategy would likely involve the construction of a digital business technology platform — a long and complex undertaking.”

Hot Topics

The Latest

Performance bottlenecks aren't uncommon when it comes to rolling out new technology, regardless of how capable or game-changing that technology might be. Every generation of new tech has encountered roadblocks that had to be overcome before it was truly able to shine. Virtualization forced organizations to rethink resource allocation, cloud transformation had us shift our focus toward scalability and elasticity, and microservices introduced entirely new challenges around observability and distributed systems. There's something different about AI, however ...

Consider a single order represented across order-management, execution, and settlement systems. Each database, message broker, and application may be online and processing its own records correctly. Yet the workflow has failed if related events arrive on different clocks, rely on inconsistent state, or cannot be reconciled before an operational decision must be made ...

AI now exists in almost every IT workflow. In a recent survey of more than 800 IT service professionals, all respondents indicated the use of AI in some form within their organization. But there's a growing paradox: if dashboards are clearing faster and alerts are resolved at unprecedented speed, why aren't IT service desks reporting lighter workloads? The research found that 71% of IT teams said their actual workload has remained flat or increased since adopting AI. This reality appears to contradict what we’ve been told about AI ...

Two years ago, almost every customer conversation about AI started with the same questions: Which model should we use? What can it do? Is it ready for the enterprise? Today, those discussions have moved on. CIOs are far more interested in how to govern AI, integrate it with existing systems, prepare their workforce and make it part of everyday operations. The challenge is no longer to prove that AI can deliver value. It's instead about how to embed AI into the business in a way that's secure, scalable and delivers measurable outcomes ...

Two things happened to production incidents between 2023 and now, and they did not happen at the same speed. The first is that a class of dependency that barely existed three years ago now accounts for one incident in ten. Incidents disclosed by AI model and AI application providers rose from 1.7% of all disclosed unplanned incidents in 2023 to 10.7% in 2026 year to date, roughly a sixfold rise; that counts only incidents at AI companies themselves, so the true share is higher. The second is that the time to close an incident has not come down ...

When an AI assistant gives an incomplete or incorrect answer, teams often blame the model. They adjust prompts, switch models, increase context windows or test a new retrieval strategy. However the model may not be a problem. In many enterprise AI workflows, the problem begins inside the document-ingestion pipeline ...

If you talk to any security or observability teams right now, they're all fighting the same fire: their tooling was built to ingest X, but their sources are pumping Y and soon to be doing Z. The knee-jerk reaction is always the same: we need more platform. However, this reaction is wrong. Let me explain why, because the solution to this problem is foundational, not financial. Instead of hurling yet more money at the problem, make sure you've done what's needed upstream ...

Rapid AI adoption and the unique ways AI workloads operate is redefining the scope and structure of what these teams must deliver. This shift is forcing organizations to rethink how they manage scale, automation, and control, according to The State of SRE and Platform Engineering 2026, a new report from Dynatrace ...

AI is usually talked about as a software tool, but it also depends heavily on the network behind it. Whether a company is using AI for chatbots, automation, monitoring, analytics, or employee support, all of that information has to move across the network in a reliable and secure way. That means AI is not just an application decision. It is also an infrastructure decision. Before organizations rush into AI, they should ask a simple question: Is our network ready to support it? ...

Enterprise AI often lacks governed access to where business processes actually execute. Without that access, AI agents may be able to reason, but they cannot operate reliably across enterprise workflows. For AI agents to effectively carry out workflows, they will require integration-layer context and controls. Organizations can implement these prerequisites by providing AI with managed access to the middleware layer ...