Skip to main content

CIOs Elevated to the Boardroom

CIOs have stepped into the role of digital leader and strategic advisor, according to the 2023 Global CIO Survey from Logicalis.


The study — based on a survey of 1,000 global technology leaders — demonstrates a monumental shift in the role of the CIO from tech implementor to business leader.

Today's tech leaders are actively involved in creating business strategy: 41% have some level of responsibility for business strategy, while 81% say they are spending more time on innovation. They are using their technology expertise to deliver innovative solutions that drive value and competitive advantage. Over three quarters (77%) are now spending more time selling ideas into the board.

"CIOs are playing a leading role in orchestrating transformation and are stepping up in response to the changing industry dynamics," said Bob Bailkoski, CEO at Logicalis. "Yet, CIOs are faced with challenges to navigate, including concerns of an impending recession and talent shortages. In addition to this, they are experiencing increased pressure to deliver digital-based outcomes for their organizations, giving them more exposure to their boards and requiring a different way of operating."

Orchestrating transformation on the journey towards a digital-first future means CIOs are forging a new path. The four critical areas of focus for CIOs identified in the report include:

Innovation: 50% of CIOs are expected to deliver continuous innovation that elevates and differentiates customer and employee interactions.

Strategy: 80% say that business strategy will become a bigger part of their role over the next two years.

Digital Transformation: 57% say that building and operating new digital platforms is still a core part of their job.

Reimagining Service Partnerships: 74% expect to increase spending on IT outsource management in 2023.

"Modern CIOs are confident in the skills and expertise needed to support their organization's technology structures," said Jon Groves, CEO of Logicalis US. "The CIO's role has shifted and now requires a renewed focus on strategic deployments that prioritize digital transformation and partnerships to create new business models and revenue. It's no longer just about the technology, but how the technology can drive the entire business into a digital first-future."

The Latest

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...

Many organizations assumed their infrastructure strategy was settled. It had been implemented, optimized and built into long-term plans. Recent changes in technology and vendor consolidation are forcing a second look. Cloud outages and licensing changes have exposed how much dependency exists on a small number of platforms. As a result, organizations are reevaluating whether those decisions still hold up under current conditions ...

Edge AI is strategically embedded in core IT and infrastructure spending across industries, according to the 2026 Edge AI Survey from ZEDEDA. The research shows that 83% of C-suite and IT executive respondents say edge AI is important to their core business strategy ...

As AI adoption accelerates, operational complexity — not model intelligence — is becoming the primary barrier to reliable AI at scale, according to the State of AI Engineering 2026 from Datadog ... The report highlights a compounding complexity challenge as AI systems scale ... Around 5% of AI model requests fail in production, with nearly 60% of those failures caused by capacity limits ...

For years, production operations teams have treated alert fatigue as a quality-of-life problem: something that makes on-call rotations miserable but isn't considered a direct contributor to outages. That framing doesn't capture how these systems fail, and we now have data to show why. More importantly, it's now clear alert fatigue is a symptom of a deeper issue: production systems have outgrown the current operational approaches ...

I was on a customer call last fall when an enterprise architect said something I haven't been able to shake. Her team had just spent four months trying to swap one AI vendor for another. The original plan said three weeks. "We didn't switch vendors," she told me. "We rebuilt half our integrations and discovered what we'd actually been depending on." Most enterprise leaders don't expect that to be the experience ...

Ask any senior SRE or platform engineer what keeps them up at night, and the answer probably isn't the monitoring tool — it's the data feeding it. The proliferation of APM, observability, and AIOps platforms has created a telemetry sprawl problem that most teams manage reactively rather than architect proactively. Metrics are going to one platform. Traces routed somewhere else. Logs duplicated across multiple backends because nobody wants to be caught without them when something breaks. Every redundant stream costs money ...

80% of respondents agree that the IT role is shifting from operators to orchestrators, according to the 2026 IT Trends Report: The Human Side of Autonomous IT from SolarWinds ...

CIOs Elevated to the Boardroom

CIOs have stepped into the role of digital leader and strategic advisor, according to the 2023 Global CIO Survey from Logicalis.


The study — based on a survey of 1,000 global technology leaders — demonstrates a monumental shift in the role of the CIO from tech implementor to business leader.

Today's tech leaders are actively involved in creating business strategy: 41% have some level of responsibility for business strategy, while 81% say they are spending more time on innovation. They are using their technology expertise to deliver innovative solutions that drive value and competitive advantage. Over three quarters (77%) are now spending more time selling ideas into the board.

"CIOs are playing a leading role in orchestrating transformation and are stepping up in response to the changing industry dynamics," said Bob Bailkoski, CEO at Logicalis. "Yet, CIOs are faced with challenges to navigate, including concerns of an impending recession and talent shortages. In addition to this, they are experiencing increased pressure to deliver digital-based outcomes for their organizations, giving them more exposure to their boards and requiring a different way of operating."

Orchestrating transformation on the journey towards a digital-first future means CIOs are forging a new path. The four critical areas of focus for CIOs identified in the report include:

Innovation: 50% of CIOs are expected to deliver continuous innovation that elevates and differentiates customer and employee interactions.

Strategy: 80% say that business strategy will become a bigger part of their role over the next two years.

Digital Transformation: 57% say that building and operating new digital platforms is still a core part of their job.

Reimagining Service Partnerships: 74% expect to increase spending on IT outsource management in 2023.

"Modern CIOs are confident in the skills and expertise needed to support their organization's technology structures," said Jon Groves, CEO of Logicalis US. "The CIO's role has shifted and now requires a renewed focus on strategic deployments that prioritize digital transformation and partnerships to create new business models and revenue. It's no longer just about the technology, but how the technology can drive the entire business into a digital first-future."

The Latest

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...

Many organizations assumed their infrastructure strategy was settled. It had been implemented, optimized and built into long-term plans. Recent changes in technology and vendor consolidation are forcing a second look. Cloud outages and licensing changes have exposed how much dependency exists on a small number of platforms. As a result, organizations are reevaluating whether those decisions still hold up under current conditions ...

Edge AI is strategically embedded in core IT and infrastructure spending across industries, according to the 2026 Edge AI Survey from ZEDEDA. The research shows that 83% of C-suite and IT executive respondents say edge AI is important to their core business strategy ...

As AI adoption accelerates, operational complexity — not model intelligence — is becoming the primary barrier to reliable AI at scale, according to the State of AI Engineering 2026 from Datadog ... The report highlights a compounding complexity challenge as AI systems scale ... Around 5% of AI model requests fail in production, with nearly 60% of those failures caused by capacity limits ...

For years, production operations teams have treated alert fatigue as a quality-of-life problem: something that makes on-call rotations miserable but isn't considered a direct contributor to outages. That framing doesn't capture how these systems fail, and we now have data to show why. More importantly, it's now clear alert fatigue is a symptom of a deeper issue: production systems have outgrown the current operational approaches ...

I was on a customer call last fall when an enterprise architect said something I haven't been able to shake. Her team had just spent four months trying to swap one AI vendor for another. The original plan said three weeks. "We didn't switch vendors," she told me. "We rebuilt half our integrations and discovered what we'd actually been depending on." Most enterprise leaders don't expect that to be the experience ...

Ask any senior SRE or platform engineer what keeps them up at night, and the answer probably isn't the monitoring tool — it's the data feeding it. The proliferation of APM, observability, and AIOps platforms has created a telemetry sprawl problem that most teams manage reactively rather than architect proactively. Metrics are going to one platform. Traces routed somewhere else. Logs duplicated across multiple backends because nobody wants to be caught without them when something breaks. Every redundant stream costs money ...

80% of respondents agree that the IT role is shifting from operators to orchestrators, according to the 2026 IT Trends Report: The Human Side of Autonomous IT from SolarWinds ...