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Gartner: CEO Priorities Shifting to Embrace Digital Business

Growth tops the list of CEO business priorities in 2018 and 2019, according to a recent survey of CEOs and senior executives by Gartner, Inc. However, the survey found that as simple, implemental growth becomes harder to achieve, CEOs are concentrating on changing and upgrading the structure of their companies, including a deeper understanding of digital business.

"Although growth remains the CEO's biggest priority, there was a significant fall in simple mentions of it this year, from 58 percent in 2017 to just 40 percent in 2018. This does not mean CEOs are less focused on growth, instead it shows that they are shifting perspective on how to obtain it," said Mark Raskino, VP and Gartner Fellow. "The 'corporate' category, which includes actions such as new strategy, corporate partnerships and mergers and acquisitions, has risen significantly to become the second-biggest priority."

The Gartner 2018 CEO and Senior Business Executive Survey of 460 CEO and senior business executives in the fourth quarter of 2017 examined their business issues, as well as some areas of technology agenda impact. In total, 460 business leaders in organizations with more than $50 million in annual revenue were qualified and surveyed.

IT remains a high priority coming in at the third position, and CEOs mention digital transformation, in particular. Workforce has risen rapidly this year to become the fourth-biggest priority, up from seventh in 2017. The number of CEOs mentioning workforce in their top three priorities rose from 16 percent to 28 percent. When asked about the most significant internal constraints to growth, employee and talent issues were at the top. CEOs said a lack of talent and workforce capability is the biggest inhibitor of digital business progress.


CEOs Recognize Need for Cultural Change

Culture change is a key aspect of digital transformation. The 2018 Gartner CIO Survey found CIOs agreed it was a very high-priority concern, but only 37 percent of CEOs said a significant or deep culture change is needed by 2020. However, when companies that have a digital initiative underway are compared with those that don't, the proportion in need of culture change rose to 42 percent.

"These survey results show that if a company has a digital initiative, then the recognized need for culture change is higher," said Raskino. "The most important types of cultural change that CEOs intend to make include making the culture more proactive, collaborative, innovative, empowered and customer-centric. They also highly rate a move to a more digital and tech-centric culture."

Digital Business Matters to CEOs

Survey respondents were asked whether they have a management initiative or transformation program to make their business more digital. The majority (62 percent) said they did. Of those organizations, 54 percent said that their digital business objective is transformational while 46 percent said the objective of the initiative is optimization.

In the background, CEOs' use of the word "digital" has been steadily rising. When asked to describe their top five business priorities, the number of respondents mentioning the word digital at least once has risen from 2.1 percent in the 2012 survey to 13.4 percent in 2018. This positive attitude toward digital business is backed up by CEOs' continuing intent to invest in IT. Sixty-one percent of respondents intend to increase spending on IT in 2018, while 32 percent plan to make no changes to spending and only seven percent foresee spending cuts.

More CEOs See Companies as Innovation Pioneers

The 2018 CEO survey showed that the percentage of respondents who think their company is an innovation pioneer has reached a high of 41 percent (up from 27 percent in 2013), with fast followers not far behind at 37 percent.

"CIOs should leverage this bullish sentiment by encouraging their business leaders into making "no way back" commitments to digital business change," Raskino concluded. "However, superficial digital change can be a dangerous form of self-deceit. The CEO's commitment must be grounded in deep fundamentals, such as genuine customer value, a real business model concept and disciplined economics."

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 ...

Gartner: CEO Priorities Shifting to Embrace Digital Business

Growth tops the list of CEO business priorities in 2018 and 2019, according to a recent survey of CEOs and senior executives by Gartner, Inc. However, the survey found that as simple, implemental growth becomes harder to achieve, CEOs are concentrating on changing and upgrading the structure of their companies, including a deeper understanding of digital business.

"Although growth remains the CEO's biggest priority, there was a significant fall in simple mentions of it this year, from 58 percent in 2017 to just 40 percent in 2018. This does not mean CEOs are less focused on growth, instead it shows that they are shifting perspective on how to obtain it," said Mark Raskino, VP and Gartner Fellow. "The 'corporate' category, which includes actions such as new strategy, corporate partnerships and mergers and acquisitions, has risen significantly to become the second-biggest priority."

The Gartner 2018 CEO and Senior Business Executive Survey of 460 CEO and senior business executives in the fourth quarter of 2017 examined their business issues, as well as some areas of technology agenda impact. In total, 460 business leaders in organizations with more than $50 million in annual revenue were qualified and surveyed.

IT remains a high priority coming in at the third position, and CEOs mention digital transformation, in particular. Workforce has risen rapidly this year to become the fourth-biggest priority, up from seventh in 2017. The number of CEOs mentioning workforce in their top three priorities rose from 16 percent to 28 percent. When asked about the most significant internal constraints to growth, employee and talent issues were at the top. CEOs said a lack of talent and workforce capability is the biggest inhibitor of digital business progress.


CEOs Recognize Need for Cultural Change

Culture change is a key aspect of digital transformation. The 2018 Gartner CIO Survey found CIOs agreed it was a very high-priority concern, but only 37 percent of CEOs said a significant or deep culture change is needed by 2020. However, when companies that have a digital initiative underway are compared with those that don't, the proportion in need of culture change rose to 42 percent.

"These survey results show that if a company has a digital initiative, then the recognized need for culture change is higher," said Raskino. "The most important types of cultural change that CEOs intend to make include making the culture more proactive, collaborative, innovative, empowered and customer-centric. They also highly rate a move to a more digital and tech-centric culture."

Digital Business Matters to CEOs

Survey respondents were asked whether they have a management initiative or transformation program to make their business more digital. The majority (62 percent) said they did. Of those organizations, 54 percent said that their digital business objective is transformational while 46 percent said the objective of the initiative is optimization.

In the background, CEOs' use of the word "digital" has been steadily rising. When asked to describe their top five business priorities, the number of respondents mentioning the word digital at least once has risen from 2.1 percent in the 2012 survey to 13.4 percent in 2018. This positive attitude toward digital business is backed up by CEOs' continuing intent to invest in IT. Sixty-one percent of respondents intend to increase spending on IT in 2018, while 32 percent plan to make no changes to spending and only seven percent foresee spending cuts.

More CEOs See Companies as Innovation Pioneers

The 2018 CEO survey showed that the percentage of respondents who think their company is an innovation pioneer has reached a high of 41 percent (up from 27 percent in 2013), with fast followers not far behind at 37 percent.

"CIOs should leverage this bullish sentiment by encouraging their business leaders into making "no way back" commitments to digital business change," Raskino concluded. "However, superficial digital change can be a dangerous form of self-deceit. The CEO's commitment must be grounded in deep fundamentals, such as genuine customer value, a real business model concept and disciplined economics."

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 ...