Skip to main content

CEOs Double Down on AI While Navigating Enterprise Hurdles

CEOs are committed to advancing AI solutions across their organization even as they face challenges from accelerating technology adoption, according to the IBM CEO Study.

The survey revealed that executive respondents expect the growth rate of AI investments to more than double in the next two years, and 61% confirm they are actively adopting AI agents today and preparing to implement them at scale.

Image
IBM

Image Source: IBM

According to the findings, 68% of surveyed CEOs identify integrated enterprise-wide data architecture as critical for cross-functional collaboration, and 72% view their organization's proprietary data as key to unlocking the value of generative AI. However, the research indicates organizations may be struggling to cultivate an effective data environment: half (50%) of respondents acknowledge that the pace of recent investments has left their organization with disconnected, piecemeal technology.

In the foreword of the study, IBM Vice Chairman Gary Cohn writes, "As AI adoption accelerates creating greater efficiency, and productivity gains, the ultimate pay-off will only come to CEOs with the courage to embrace risk as opportunity. Meaning, focusing on what you can control, especially when there is so much you can't. When the business environment is uncertain, using AI and your enterprise data to identify where you have leverage is a competitive advantage. At this point, leaders who aren't leveraging AI and their own data to move forward are making a conscious business decision not to compete."

"CEOs are balancing the pressures of short-term ROI and investing in long-term innovation when it comes to adopting AI," said Mohamad Ali, Senior Vice President and Head of IBM Consulting. "But we know that organizations that keep innovating, especially during periods of uncertainty, will emerge stronger and be better positioned to capitalize on new opportunities."

Other key findings include:

CEOs face competing pressures of short-term ROI and long-term innovation

  • Surveyed CEOs report that only 25% of AI initiatives have delivered expected ROI over the last few years, and only 16% have scaled enterprise wide. 
    To accelerate progress, two-thirds (65%) of CEO respondents say their organization is leaning into AI use cases based on ROI, with 68% reporting that their organization has clear metrics to measure innovation ROI effectively.
  • Just over half (52%) of CEO respondents say their organization is realizing value from generative AI investments beyond cost reduction.
  • 64% of CEOs surveyed acknowledge that the risk of falling behind drives investment in some technologies before they have a clear understanding of the value they bring to the organization, but only 37% say it's better to be "fast and wrong" than "right and slow" when it comes to technology adoption.
  • 59% of surveyed CEOs admit their organization struggles to balance funding for existing operations and investment in innovation when unexpected change occurs, as 67% say more budget flexibility is needed to capitalize on digital opportunities that drive long-term growth and innovation.
  • By 2027, 85% of surveyed CEOs expect their investments in scaled AI efficiency and cost savings to have returned a positive ROI, while 77% expect to see a positive return from their investments in scaled AI growth and expansion.

CEOs see strategic leadership and specialized talent as essential to unlocking AI value, amid expertise and skills gaps

  • 69% of CEO respondents say their organization's success is directly tied to maintaining a broad group of leaders with a deep understanding of strategy and the authority to make critical decisions.
  • 67% of CEOs surveyed say that differentiation depends on having the right expertise in the right positions with the right incentives.
  • CEOs cite lack of collaboration across organizational silos, aversion to risk and disruption, and lack of expertise and knowledge as top barriers to innovation in their organization.
  • Surveyed CEOs say roughly one-third (31%) of the workforce will require retraining and/or reskilling over the next three years, while 65% say their organization will use automation to address skill gaps.
  • 54% of CEO respondents say they are hiring for roles related to AI that did not exist a year ago.

Methodology: The IBM Institute for Business Value, in cooperation with Oxford Economics, surveyed 2,000 CEOs from 33 countries and 24 industries between February and April 2025.

Hot Topics

The Latest

Organizations that perform regular audits and assessments of AI system performance and compliance are over three times more likely to achieve high GenAI value than organizations that do not, according to a survey by Gartner ...

Kubernetes has become the backbone of cloud infrastructure, but it's also one of its biggest cost drivers. Recent research shows that 98% of senior IT leaders say Kubernetes now drives cloud spend, yet 91% still can't optimize it effectively. After years of adoption, most organizations have moved past discovery. They know container sprawl, idle resources and reactive scaling inflate costs. What they don't know is how to fix it ...

Artificial intelligence is no longer a future investment. It's already embedded in how we work — whether through copilots in productivity apps, real-time transcription tools in meetings, or machine learning models fueling analytics and personalization. But while enterprise adoption accelerates, there's one critical area many leaders have yet to examine: Can your network actually support AI at the speed your users expect? ...

The more technology businesses invest in, the more potential attack surfaces they have that can be exploited. Without the right continuity plans in place, the disruptions caused by these attacks can bring operations to a standstill and cause irreparable damage to an organization. It's essential to take the time now to ensure your business has the right tools, processes, and recovery initiatives in place to weather any type of IT disaster that comes up. Here are some effective strategies you can follow to achieve this ...

In today's fast-paced AI landscape, CIOs, IT leaders, and engineers are constantly challenged to manage increasingly complex and interconnected systems. The sheer scale and velocity of data generated by modern infrastructure can be overwhelming, making it difficult to maintain uptime, prevent outages, and create a seamless customer experience. This complexity is magnified by the industry's shift towards agentic AI ...

In MEAN TIME TO INSIGHT Episode 19, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA explains the cause of the AWS outage in October ... 

The explosion of generative AI and machine learning capabilities has fundamentally changed the conversation around cloud migration. It's no longer just about modernization or cost savings — it's about being able to compete in a market where AI is rapidly becoming table stakes. Companies that can't quickly spin up AI workloads, feed models with data at scale, or experiment with new capabilities are falling behind faster than ever before. But here's what I'm seeing: many organizations want to capitalize on AI, but they're stuck ...

On September 16, the world celebrated the 10th annual IT Pro Day, giving companies a chance to laud the professionals who serve as the backbone to almost every successful business across the globe. Despite the growing importance of their roles, many IT pros still work in the background and often go underappreciated ...

Artificial Intelligence (AI) is reshaping observability, and observability is becoming essential for AI. This is a two-way relationship that is increasingly relevant as enterprises scale generative AI ... This dual role makes AI and observability inseparable. In this blog, I cover more details of each side ...

Poor DEX directly costs global businesses an average of 470,000 hours per year, equivalent to around 226 full-time employees, according to a new report from Nexthink, Cracking the DEX Equation: The Annual Workplace Productivity Report. This indicates that digital friction is a vital and underreported element of the global productivity crisis ...

CEOs Double Down on AI While Navigating Enterprise Hurdles

CEOs are committed to advancing AI solutions across their organization even as they face challenges from accelerating technology adoption, according to the IBM CEO Study.

The survey revealed that executive respondents expect the growth rate of AI investments to more than double in the next two years, and 61% confirm they are actively adopting AI agents today and preparing to implement them at scale.

Image
IBM

Image Source: IBM

According to the findings, 68% of surveyed CEOs identify integrated enterprise-wide data architecture as critical for cross-functional collaboration, and 72% view their organization's proprietary data as key to unlocking the value of generative AI. However, the research indicates organizations may be struggling to cultivate an effective data environment: half (50%) of respondents acknowledge that the pace of recent investments has left their organization with disconnected, piecemeal technology.

In the foreword of the study, IBM Vice Chairman Gary Cohn writes, "As AI adoption accelerates creating greater efficiency, and productivity gains, the ultimate pay-off will only come to CEOs with the courage to embrace risk as opportunity. Meaning, focusing on what you can control, especially when there is so much you can't. When the business environment is uncertain, using AI and your enterprise data to identify where you have leverage is a competitive advantage. At this point, leaders who aren't leveraging AI and their own data to move forward are making a conscious business decision not to compete."

"CEOs are balancing the pressures of short-term ROI and investing in long-term innovation when it comes to adopting AI," said Mohamad Ali, Senior Vice President and Head of IBM Consulting. "But we know that organizations that keep innovating, especially during periods of uncertainty, will emerge stronger and be better positioned to capitalize on new opportunities."

Other key findings include:

CEOs face competing pressures of short-term ROI and long-term innovation

  • Surveyed CEOs report that only 25% of AI initiatives have delivered expected ROI over the last few years, and only 16% have scaled enterprise wide. 
    To accelerate progress, two-thirds (65%) of CEO respondents say their organization is leaning into AI use cases based on ROI, with 68% reporting that their organization has clear metrics to measure innovation ROI effectively.
  • Just over half (52%) of CEO respondents say their organization is realizing value from generative AI investments beyond cost reduction.
  • 64% of CEOs surveyed acknowledge that the risk of falling behind drives investment in some technologies before they have a clear understanding of the value they bring to the organization, but only 37% say it's better to be "fast and wrong" than "right and slow" when it comes to technology adoption.
  • 59% of surveyed CEOs admit their organization struggles to balance funding for existing operations and investment in innovation when unexpected change occurs, as 67% say more budget flexibility is needed to capitalize on digital opportunities that drive long-term growth and innovation.
  • By 2027, 85% of surveyed CEOs expect their investments in scaled AI efficiency and cost savings to have returned a positive ROI, while 77% expect to see a positive return from their investments in scaled AI growth and expansion.

CEOs see strategic leadership and specialized talent as essential to unlocking AI value, amid expertise and skills gaps

  • 69% of CEO respondents say their organization's success is directly tied to maintaining a broad group of leaders with a deep understanding of strategy and the authority to make critical decisions.
  • 67% of CEOs surveyed say that differentiation depends on having the right expertise in the right positions with the right incentives.
  • CEOs cite lack of collaboration across organizational silos, aversion to risk and disruption, and lack of expertise and knowledge as top barriers to innovation in their organization.
  • Surveyed CEOs say roughly one-third (31%) of the workforce will require retraining and/or reskilling over the next three years, while 65% say their organization will use automation to address skill gaps.
  • 54% of CEO respondents say they are hiring for roles related to AI that did not exist a year ago.

Methodology: The IBM Institute for Business Value, in cooperation with Oxford Economics, surveyed 2,000 CEOs from 33 countries and 24 industries between February and April 2025.

Hot Topics

The Latest

Organizations that perform regular audits and assessments of AI system performance and compliance are over three times more likely to achieve high GenAI value than organizations that do not, according to a survey by Gartner ...

Kubernetes has become the backbone of cloud infrastructure, but it's also one of its biggest cost drivers. Recent research shows that 98% of senior IT leaders say Kubernetes now drives cloud spend, yet 91% still can't optimize it effectively. After years of adoption, most organizations have moved past discovery. They know container sprawl, idle resources and reactive scaling inflate costs. What they don't know is how to fix it ...

Artificial intelligence is no longer a future investment. It's already embedded in how we work — whether through copilots in productivity apps, real-time transcription tools in meetings, or machine learning models fueling analytics and personalization. But while enterprise adoption accelerates, there's one critical area many leaders have yet to examine: Can your network actually support AI at the speed your users expect? ...

The more technology businesses invest in, the more potential attack surfaces they have that can be exploited. Without the right continuity plans in place, the disruptions caused by these attacks can bring operations to a standstill and cause irreparable damage to an organization. It's essential to take the time now to ensure your business has the right tools, processes, and recovery initiatives in place to weather any type of IT disaster that comes up. Here are some effective strategies you can follow to achieve this ...

In today's fast-paced AI landscape, CIOs, IT leaders, and engineers are constantly challenged to manage increasingly complex and interconnected systems. The sheer scale and velocity of data generated by modern infrastructure can be overwhelming, making it difficult to maintain uptime, prevent outages, and create a seamless customer experience. This complexity is magnified by the industry's shift towards agentic AI ...

In MEAN TIME TO INSIGHT Episode 19, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA explains the cause of the AWS outage in October ... 

The explosion of generative AI and machine learning capabilities has fundamentally changed the conversation around cloud migration. It's no longer just about modernization or cost savings — it's about being able to compete in a market where AI is rapidly becoming table stakes. Companies that can't quickly spin up AI workloads, feed models with data at scale, or experiment with new capabilities are falling behind faster than ever before. But here's what I'm seeing: many organizations want to capitalize on AI, but they're stuck ...

On September 16, the world celebrated the 10th annual IT Pro Day, giving companies a chance to laud the professionals who serve as the backbone to almost every successful business across the globe. Despite the growing importance of their roles, many IT pros still work in the background and often go underappreciated ...

Artificial Intelligence (AI) is reshaping observability, and observability is becoming essential for AI. This is a two-way relationship that is increasingly relevant as enterprises scale generative AI ... This dual role makes AI and observability inseparable. In this blog, I cover more details of each side ...

Poor DEX directly costs global businesses an average of 470,000 hours per year, equivalent to around 226 full-time employees, according to a new report from Nexthink, Cracking the DEX Equation: The Annual Workplace Productivity Report. This indicates that digital friction is a vital and underreported element of the global productivity crisis ...