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Tech Leaders Unprepared for Future IT Needs

More than half (60%) of IT leaders say their company's IT modernization program is not yet ready for the future, according to a new IBM survey in the US and UK.

Nearly a quarter of CIOs and CTOs surveyed say their company is just starting its IT modernization journey or has yet to begin modernizing, with about a third surveyed saying they are still in the midst of transformation. 380 CIOs and CTOs participated in the survey, recently completed by The State of IT Transformation Study conducted by the Managed Infrastructure Services unit of IBM's Global Technology Services division.

As a result, more than 95% of IT leaders surveyed said they are looking to adopt public, hybrid or private cloud strategies. Of those, many are moving at an aggressive pace — the study reveals that 53% of respondents are aggressively pursuing a public cloud strategy, 48% a hybrid cloud strategy and 45% a private cloud strategy.

"Our clients are looking to accelerate IT modernization by leveraging cloud models — both public and hybrid, data, AI, automation and other key technologies to help shape, scale and manage more effectively massive, complex, global architectures," said Archana Vemulapalli, GM, IBM Infrastructure Services - Offerings and CTO. "In this rapidly changing digital business environment, organizations can bring in the right technology and the right partners to help aggregate, integrate, build and maintain a scalable digital business, while also enforcing effective governance."

The pressures on IT infrastructures brought on by the COVID-19 pandemic have further accelerated the need for cloud infrastructure, professional skills development, and security upgrades, the survey found. More than 60% of technology leaders surveyed say they expect increased demand for cloud infrastructure to be permanent.

Even as IT leaders are feeling increased urgency to accelerate their organizations' transformation, migrating to a multi-cloud environment can present significant challenges to organizations with legacy applications running large data pools.

Adding to this, many surveyed technology leaders are not sure they have the right teams in place. A full 40% of survey respondents do not feel their teams have the right skills to fully meet their IT ambitions, and more than three in four surveyed say they will rely more on trusted partners that can provide managed infrastructure services.

67% of CIOs and CTOs surveyed cite the need for increased infrastructure flexibility as driving the digital transformation, followed by the need for competitive advantage (61%), cost savings (58%), increasing globalization (54%) and meeting client demands (45%).

While the majority — 60% of CIOs and CTOs — surveyed say their company's IT modernization is not yet ready for the future, the study revealed significant differences in the US and UK markets. For example, while approximately 56% of US respondents say they are aggressively moving their IT infrastructure to hybrid cloud, only 38% of respondents in the UK describe their approach as aggressive.

And while 56% of CIOs/CTOs surveyed in the US say their IT infrastructures were completely prepared for the business changes brought on by COVID-19, only 23% of UK managers surveyed felt as prepared.

The Latest

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

Tech Leaders Unprepared for Future IT Needs

More than half (60%) of IT leaders say their company's IT modernization program is not yet ready for the future, according to a new IBM survey in the US and UK.

Nearly a quarter of CIOs and CTOs surveyed say their company is just starting its IT modernization journey or has yet to begin modernizing, with about a third surveyed saying they are still in the midst of transformation. 380 CIOs and CTOs participated in the survey, recently completed by The State of IT Transformation Study conducted by the Managed Infrastructure Services unit of IBM's Global Technology Services division.

As a result, more than 95% of IT leaders surveyed said they are looking to adopt public, hybrid or private cloud strategies. Of those, many are moving at an aggressive pace — the study reveals that 53% of respondents are aggressively pursuing a public cloud strategy, 48% a hybrid cloud strategy and 45% a private cloud strategy.

"Our clients are looking to accelerate IT modernization by leveraging cloud models — both public and hybrid, data, AI, automation and other key technologies to help shape, scale and manage more effectively massive, complex, global architectures," said Archana Vemulapalli, GM, IBM Infrastructure Services - Offerings and CTO. "In this rapidly changing digital business environment, organizations can bring in the right technology and the right partners to help aggregate, integrate, build and maintain a scalable digital business, while also enforcing effective governance."

The pressures on IT infrastructures brought on by the COVID-19 pandemic have further accelerated the need for cloud infrastructure, professional skills development, and security upgrades, the survey found. More than 60% of technology leaders surveyed say they expect increased demand for cloud infrastructure to be permanent.

Even as IT leaders are feeling increased urgency to accelerate their organizations' transformation, migrating to a multi-cloud environment can present significant challenges to organizations with legacy applications running large data pools.

Adding to this, many surveyed technology leaders are not sure they have the right teams in place. A full 40% of survey respondents do not feel their teams have the right skills to fully meet their IT ambitions, and more than three in four surveyed say they will rely more on trusted partners that can provide managed infrastructure services.

67% of CIOs and CTOs surveyed cite the need for increased infrastructure flexibility as driving the digital transformation, followed by the need for competitive advantage (61%), cost savings (58%), increasing globalization (54%) and meeting client demands (45%).

While the majority — 60% of CIOs and CTOs — surveyed say their company's IT modernization is not yet ready for the future, the study revealed significant differences in the US and UK markets. For example, while approximately 56% of US respondents say they are aggressively moving their IT infrastructure to hybrid cloud, only 38% of respondents in the UK describe their approach as aggressive.

And while 56% of CIOs/CTOs surveyed in the US say their IT infrastructures were completely prepared for the business changes brought on by COVID-19, only 23% of UK managers surveyed felt as prepared.

The Latest

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...