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Emerging Technology Tops CIO Priority Check List

As technology continues to transition from being a tool for conducting business to becoming the business itself, tech is at the forefront of CEOs' minds, according to CIO Priorities Survey conducted by Deloitte.

The majority of CEOs surveyed (57%) plan to embed new technologies in their business model to find opportunities for growth, further validating that this is the golden era of the CIO.

Nearly two-thirds of technology leaders surveyed as part of Deloitte's recent CIO Survey report directly to the CEO, highlighting how the CIO role is being elevated within businesses. Of those surveyed, most have a CIO or CDIO (83%) in their organization with the CTO being the next most common (52%). Of publicly traded companies, the primary technology roles are CIO/CDIO (57%) and CTO (35%).

The CIO Check List: Top Priorities

The increased importance of technology often means CIOs have an expanded mandate, says Deloitte. They need to work to meet the role's operational responsibilities while also creating advantage by driving business outcomes.

Tech leaders surveyed selected the following as their organization's top priorities for this year:

1. Emerging technology: Staying ahead of emerging technologies and solutions (ex. AI/GenAI, Quantum, AR/VR, etc.)

2. Data and artificial intelligence (AI): Embracing the full potential of data, analytics, AI and machine learning

3. Cyber Security: Mitigating cyber risks and preventing cyber incidents and attacks

4. Advocating tech strategy (TIE): Organizing, managing, and rationalizing technology strategy inside the organization

Despite the rise in, and focus on, AI, only one-third (35%) of technology leaders said that embracing its potential or that of data, analytics, or machine learning is their number one priority. Furthermore, only 30% of respondents reported having a chief data/analytics officer (CDAO) role within their organization and 29% of respondents acknowledge that their organizations are at the forefront of these technologies.

Company size also seems to impact the focus on cybersecurity, with two in five CIOs and technology leaders (43%) at companies with 10,000+ employees saying mitigation and prevention of cyber incidents is an important priority, while only one-quarter (26%) of leaders at companies with less than 10,000 employees say the same.

Today's CIO: Technology-Centric or Business-Minded?

The research further supports the importance of technology within organizations as nearly two-thirds (63%) of technology leaders surveyed now report directly to the CEO. Within the technology and energy/chemicals industries, this number is even higher with more than 4 in 5 CIOs/CDIOs in these sectors answering directly to their CEO.

The role tech is playing within business also seems to be impacting the expectations of tech leadership. When asked to rank the defining characteristics of a leading CIO, respondents were split between the conventional (those viewed by themselves and others as running IT) and contemporary (those embracing the opportunity and reinventing the CIO role), saying the traditional, more IT-centric qualities are just as important as the strategic and more customer-focused ones.

"The role of the CIO has evolved significantly; merely being the technical expert within the organization is necessary but insufficient," stated Anjali Shaikh, managing director and US CIO Program Experience director at Deloitte Consulting LLP. "Today's CIOs may need to primarily be business and people leaders — a stark departure from the role's expectations three decades ago, which primarily centered on technology delivery. In an era where technology is the backbone of business, tech executives who adapt to change and foster a growth-oriented mindset are likely better positioned to propel their businesses toward competitive edge and innovation."

Opinions on the required characteristics for CIOs uncovered some nuances by company size. Technology leaders at large companies may be called upon to take more risks for their organizations. When selecting the most in-demand traits, more than half (59%) of respondents from large companies (10K+ employees) selected risk taking as a characteristic of a CIO versus 43% of respondents from small companies (5K-9.9K employees). Additionally, tech leaders with small companies were more likely to say that CIOs should be experts in providing technology support (60%), while those at large companies lean toward tech leaders who are adept at working directly with clients (51%).

CIO Enterprise-Assessment: Strong Points and Areas of Development

Deloitte's survey revealed a gap between what CIOs prioritize and execute, with one-third or fewer CIOs give their organizations an "excellent" grade in how they are executing against top CIO priorities. About one in ten grades their organization as "lagging" or "failing" on top CIO priorities.

Below are the top areas where technology leaders say they believe their organizations are leading the way and where they feel they are trailing competitors or at serious risk:

Leading Edge

■ Talent Management (34%): Attracting, engaging and reskilling technology talent

■ Optimizing IT Strategy (32%): Organizing, managing, and rationalizing technology strategy inside the organization

■ Sustainable IT (32%): Impacting environmental sustainability through technology and data

Trailing Their Competitors or at Serious Risk

■ Risk Management (12%): Mitigation of cyber risks and prevention of cyber incidents and attacks

■ Growth Strategy (10%): Establishing innovation capabilities to drive growth

■ Keeping Current (10%): Staying ahead of emerging technologies and solutions

"The job of a CIO today isn't easy – it's a dynamic, demanding, and critical role that shapes the future of the organization," said John Marcante, CIO-in-Residence, Deloitte US CIO Program. "As technology and corporate strategy become more intertwined, CIOs can be indispensable members of the executive team who can serve as the primary drivers of growth while ensuring efficient, secure, and nimble operations."

In addition to rating their organization's ability to execute against 10 leading CIO priorities, respondents were also asked about the biggest personal barriers they face in their role. The breadth of responses indicates how difficult and expansive the role has become; CIOs aren't facing just one challenge when it comes to developing and executing the strategic direction of technology within their organizations; they're facing many.

The biggest barrier those surveyed cited is measuring, communicating, and demonstrating the value of technology (15%), followed closely by integrating technology across the organization (14%), finding time to stay updated on innovative technologies (13%), and having the needed capacity and resources to deliver technology capabilities (13%).

Methodology: Deloitte conducted an online survey among 211 US-based CIOs and technology leaders from February 9-18, 2024. Participants were screened based on title, company size, company revenue, and responsibility for setting the strategic direction of IT within their organization.

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 ...

Emerging Technology Tops CIO Priority Check List

As technology continues to transition from being a tool for conducting business to becoming the business itself, tech is at the forefront of CEOs' minds, according to CIO Priorities Survey conducted by Deloitte.

The majority of CEOs surveyed (57%) plan to embed new technologies in their business model to find opportunities for growth, further validating that this is the golden era of the CIO.

Nearly two-thirds of technology leaders surveyed as part of Deloitte's recent CIO Survey report directly to the CEO, highlighting how the CIO role is being elevated within businesses. Of those surveyed, most have a CIO or CDIO (83%) in their organization with the CTO being the next most common (52%). Of publicly traded companies, the primary technology roles are CIO/CDIO (57%) and CTO (35%).

The CIO Check List: Top Priorities

The increased importance of technology often means CIOs have an expanded mandate, says Deloitte. They need to work to meet the role's operational responsibilities while also creating advantage by driving business outcomes.

Tech leaders surveyed selected the following as their organization's top priorities for this year:

1. Emerging technology: Staying ahead of emerging technologies and solutions (ex. AI/GenAI, Quantum, AR/VR, etc.)

2. Data and artificial intelligence (AI): Embracing the full potential of data, analytics, AI and machine learning

3. Cyber Security: Mitigating cyber risks and preventing cyber incidents and attacks

4. Advocating tech strategy (TIE): Organizing, managing, and rationalizing technology strategy inside the organization

Despite the rise in, and focus on, AI, only one-third (35%) of technology leaders said that embracing its potential or that of data, analytics, or machine learning is their number one priority. Furthermore, only 30% of respondents reported having a chief data/analytics officer (CDAO) role within their organization and 29% of respondents acknowledge that their organizations are at the forefront of these technologies.

Company size also seems to impact the focus on cybersecurity, with two in five CIOs and technology leaders (43%) at companies with 10,000+ employees saying mitigation and prevention of cyber incidents is an important priority, while only one-quarter (26%) of leaders at companies with less than 10,000 employees say the same.

Today's CIO: Technology-Centric or Business-Minded?

The research further supports the importance of technology within organizations as nearly two-thirds (63%) of technology leaders surveyed now report directly to the CEO. Within the technology and energy/chemicals industries, this number is even higher with more than 4 in 5 CIOs/CDIOs in these sectors answering directly to their CEO.

The role tech is playing within business also seems to be impacting the expectations of tech leadership. When asked to rank the defining characteristics of a leading CIO, respondents were split between the conventional (those viewed by themselves and others as running IT) and contemporary (those embracing the opportunity and reinventing the CIO role), saying the traditional, more IT-centric qualities are just as important as the strategic and more customer-focused ones.

"The role of the CIO has evolved significantly; merely being the technical expert within the organization is necessary but insufficient," stated Anjali Shaikh, managing director and US CIO Program Experience director at Deloitte Consulting LLP. "Today's CIOs may need to primarily be business and people leaders — a stark departure from the role's expectations three decades ago, which primarily centered on technology delivery. In an era where technology is the backbone of business, tech executives who adapt to change and foster a growth-oriented mindset are likely better positioned to propel their businesses toward competitive edge and innovation."

Opinions on the required characteristics for CIOs uncovered some nuances by company size. Technology leaders at large companies may be called upon to take more risks for their organizations. When selecting the most in-demand traits, more than half (59%) of respondents from large companies (10K+ employees) selected risk taking as a characteristic of a CIO versus 43% of respondents from small companies (5K-9.9K employees). Additionally, tech leaders with small companies were more likely to say that CIOs should be experts in providing technology support (60%), while those at large companies lean toward tech leaders who are adept at working directly with clients (51%).

CIO Enterprise-Assessment: Strong Points and Areas of Development

Deloitte's survey revealed a gap between what CIOs prioritize and execute, with one-third or fewer CIOs give their organizations an "excellent" grade in how they are executing against top CIO priorities. About one in ten grades their organization as "lagging" or "failing" on top CIO priorities.

Below are the top areas where technology leaders say they believe their organizations are leading the way and where they feel they are trailing competitors or at serious risk:

Leading Edge

■ Talent Management (34%): Attracting, engaging and reskilling technology talent

■ Optimizing IT Strategy (32%): Organizing, managing, and rationalizing technology strategy inside the organization

■ Sustainable IT (32%): Impacting environmental sustainability through technology and data

Trailing Their Competitors or at Serious Risk

■ Risk Management (12%): Mitigation of cyber risks and prevention of cyber incidents and attacks

■ Growth Strategy (10%): Establishing innovation capabilities to drive growth

■ Keeping Current (10%): Staying ahead of emerging technologies and solutions

"The job of a CIO today isn't easy – it's a dynamic, demanding, and critical role that shapes the future of the organization," said John Marcante, CIO-in-Residence, Deloitte US CIO Program. "As technology and corporate strategy become more intertwined, CIOs can be indispensable members of the executive team who can serve as the primary drivers of growth while ensuring efficient, secure, and nimble operations."

In addition to rating their organization's ability to execute against 10 leading CIO priorities, respondents were also asked about the biggest personal barriers they face in their role. The breadth of responses indicates how difficult and expansive the role has become; CIOs aren't facing just one challenge when it comes to developing and executing the strategic direction of technology within their organizations; they're facing many.

The biggest barrier those surveyed cited is measuring, communicating, and demonstrating the value of technology (15%), followed closely by integrating technology across the organization (14%), finding time to stay updated on innovative technologies (13%), and having the needed capacity and resources to deliver technology capabilities (13%).

Methodology: Deloitte conducted an online survey among 211 US-based CIOs and technology leaders from February 9-18, 2024. Participants were screened based on title, company size, company revenue, and responsibility for setting the strategic direction of IT within their organization.

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 ...