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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.

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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 ...

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Until AI-powered engineering tools have live visibility of how code behaves at runtime, they cannot be trusted to autonomously ensure reliable systems, according to the State of AI-Powered Engineering Report 2026 report from Lightrun. The report reveals that a major volume of manual work is required when AI-generated code is deployed: 43% of AI-generated code requires manual debugging in production, even after passing QA or staging tests. Furthermore, an average of three manual redeploy cycles are required to verify a single AI-suggested code fix in production ...

Many organizations describe AI as strategic, but they do not manage it strategically. When AI plans are disconnected from strategy, detached from organizational learning, and protected from serious assumptions testing, the problem is no longer technical immaturity; it is a failure of management discipline ... Executives too often tell organizations to "use AI" before they define what AI is supposed to change. The problem deepens in organizations where strategy isn't well articulated in the first place ...

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Today's modern systems are not what they once were. Organizations now rely on distributed systems, event-driven workflows, hybrid and multi-cloud environments and continuous delivery pipelines. While each adds flexibility, it also introduces new, often invisible failures. Development speed is no longer the primary bottleneck of innovation. Reliability is ...

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

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 ...

40% of organizations deploying AI will implement dedicated AI observability tools by 2028 to monitor model performance, bias and outputs, according to Gartner ...

Until AI-powered engineering tools have live visibility of how code behaves at runtime, they cannot be trusted to autonomously ensure reliable systems, according to the State of AI-Powered Engineering Report 2026 report from Lightrun. The report reveals that a major volume of manual work is required when AI-generated code is deployed: 43% of AI-generated code requires manual debugging in production, even after passing QA or staging tests. Furthermore, an average of three manual redeploy cycles are required to verify a single AI-suggested code fix in production ...

Many organizations describe AI as strategic, but they do not manage it strategically. When AI plans are disconnected from strategy, detached from organizational learning, and protected from serious assumptions testing, the problem is no longer technical immaturity; it is a failure of management discipline ... Executives too often tell organizations to "use AI" before they define what AI is supposed to change. The problem deepens in organizations where strategy isn't well articulated in the first place ...

Across the enterprise technology landscape, a quiet crisis is playing out. Organizations have run hundreds, sometimes thousands, of generative AI pilots. Leadership has celebrated the proof of concept (POCs) ... Industry experience points to a sobering reality: only 5-10% of AI POCs that progress to the pilot stage successfully reach scaled production. The remaining 90% fail because the enterprise environment around them was never ready to absorb them, not the AI models ...

Today's modern systems are not what they once were. Organizations now rely on distributed systems, event-driven workflows, hybrid and multi-cloud environments and continuous delivery pipelines. While each adds flexibility, it also introduces new, often invisible failures. Development speed is no longer the primary bottleneck of innovation. Reliability is ...