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CEOs Embrace Generative AI

Nearly half of CEOs surveyed identify productivity as their highest business priority — up from sixth place in 2022, according to CEO decision-making in the age of AI, Act with intention, a study conducted by the IBM Institute for Business Value.

They recognize technology modernization is key to achieving their productivity goals, ranking it as second highest priority. Yet, CEOs can face key barriers as they race to modernize and adopt new technologies like generative AI.

The study found that three-quarters of CEO respondents believe that competitive advantage will depend on who has the most advanced generative AI. However, executives are also weighing potential risks or barriers of the technology such as bias, ethics and security. More than half (57%) of CEOs surveyed are concerned about data security and 48% worry about bias or data accuracy.

There is also a disconnect between CEOs and their teams when it comes to AI readiness. Half (50%) of CEOs surveyed report they are already integrating generative AI into products and services, and 43% say they are using generative AI to inform strategic decisions. Yet, just 29% of their executive teams agree they have the in-house expertise to adopt generative AI; only 30% of non-CEO senior executives surveyed say that their organization is ready to adopt generative AI responsibly.

"Generative AI can reduce the barriers to AI adoption and half of CEOs interviewed are actively exploring it to drive a new wave of productivity, efficiency and quality of service across industries," said Jesus Mantas, Global Managing Partner, IBM Consulting. "CEOs need to assess their company requirements around data privacy, intellectual property protection, security, algorithmic accountability and governance in order to plan their deployment of emerging use cases of generative AI at scale."

Additional findings include:

CEOs say productivity — and the driving technology — is a pressing priority

Almost half (48%) of CEOs surveyed pinpoint productivity as a top priority for their organization.

Technology modernization follows as their second highest priority (45%) but CEOs also indicate this is among their top challenges.

For the fourth consecutive year, CEOs surveyed say technology factors remain the top external force impacting their organization over the next three years.

CEOs increasingly look toward operational, technology and data leaders as strategic decision makers

When asked which C-Suite members will make the most crucial decisions over the next three years, CEO respondents identify COOs (62%) and CFOs (52%).

The influence of technology leaders on decision making is growing — 38% of surveyed CEOs point to CIOs (up from 19% a year ago), followed by Chief Technology or Chief Digital Officer (30%) as making the most crucial decisions in their organization.

CEOs are ready to adopt generative AI, but other executives have reservations

Three out of four (75%) CEOs surveyed believe the organization with the most advanced generative AI will have a competitive advantage.

Half (50%) of CEOs report they are already integrating generative AI into products and services; 43% say they are using generative AI to inform strategic decisions, with 36% using the technology for operational decisions.

While 69% of CEO respondents see broad benefits of generative AI across their organization, just 29% of their executive teams agree they have the in-house expertise to adopt generative AI.

Only 30% of non-CEO senior executives surveyed say that their organization is ready to adopt generative AI responsibly.

Generative AI is fueling workforce changes

About 43% of surveyed CEOs say they have reduced or redeployed their workforce due to generative AI, with an additional 28% indicating they plan to do so in the next 12 months.

At the same time, 46% of CEOs surveyed have hired additional workers because of generative AI, with 26% saying they have plans for more hiring ahead.

Yet fewer than one in three CEOs (28%) surveyed have assessed the potential impact of generative AI on their workforces, and 36% say they plan to do so in the next 12 months.

Methodology: The IBM Institute for Business Value, in cooperation with Oxford Economics, interviewed 3,000 CEOs from over 30 countries and 24 industries as part of the 28th edition of the IBM C-Suite Study series. The IBM Institute for Business Value also conducted a survey of 200 CEOs in the United States on their responses to generative AI.

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CEOs Embrace Generative AI

Nearly half of CEOs surveyed identify productivity as their highest business priority — up from sixth place in 2022, according to CEO decision-making in the age of AI, Act with intention, a study conducted by the IBM Institute for Business Value.

They recognize technology modernization is key to achieving their productivity goals, ranking it as second highest priority. Yet, CEOs can face key barriers as they race to modernize and adopt new technologies like generative AI.

The study found that three-quarters of CEO respondents believe that competitive advantage will depend on who has the most advanced generative AI. However, executives are also weighing potential risks or barriers of the technology such as bias, ethics and security. More than half (57%) of CEOs surveyed are concerned about data security and 48% worry about bias or data accuracy.

There is also a disconnect between CEOs and their teams when it comes to AI readiness. Half (50%) of CEOs surveyed report they are already integrating generative AI into products and services, and 43% say they are using generative AI to inform strategic decisions. Yet, just 29% of their executive teams agree they have the in-house expertise to adopt generative AI; only 30% of non-CEO senior executives surveyed say that their organization is ready to adopt generative AI responsibly.

"Generative AI can reduce the barriers to AI adoption and half of CEOs interviewed are actively exploring it to drive a new wave of productivity, efficiency and quality of service across industries," said Jesus Mantas, Global Managing Partner, IBM Consulting. "CEOs need to assess their company requirements around data privacy, intellectual property protection, security, algorithmic accountability and governance in order to plan their deployment of emerging use cases of generative AI at scale."

Additional findings include:

CEOs say productivity — and the driving technology — is a pressing priority

Almost half (48%) of CEOs surveyed pinpoint productivity as a top priority for their organization.

Technology modernization follows as their second highest priority (45%) but CEOs also indicate this is among their top challenges.

For the fourth consecutive year, CEOs surveyed say technology factors remain the top external force impacting their organization over the next three years.

CEOs increasingly look toward operational, technology and data leaders as strategic decision makers

When asked which C-Suite members will make the most crucial decisions over the next three years, CEO respondents identify COOs (62%) and CFOs (52%).

The influence of technology leaders on decision making is growing — 38% of surveyed CEOs point to CIOs (up from 19% a year ago), followed by Chief Technology or Chief Digital Officer (30%) as making the most crucial decisions in their organization.

CEOs are ready to adopt generative AI, but other executives have reservations

Three out of four (75%) CEOs surveyed believe the organization with the most advanced generative AI will have a competitive advantage.

Half (50%) of CEOs report they are already integrating generative AI into products and services; 43% say they are using generative AI to inform strategic decisions, with 36% using the technology for operational decisions.

While 69% of CEO respondents see broad benefits of generative AI across their organization, just 29% of their executive teams agree they have the in-house expertise to adopt generative AI.

Only 30% of non-CEO senior executives surveyed say that their organization is ready to adopt generative AI responsibly.

Generative AI is fueling workforce changes

About 43% of surveyed CEOs say they have reduced or redeployed their workforce due to generative AI, with an additional 28% indicating they plan to do so in the next 12 months.

At the same time, 46% of CEOs surveyed have hired additional workers because of generative AI, with 26% saying they have plans for more hiring ahead.

Yet fewer than one in three CEOs (28%) surveyed have assessed the potential impact of generative AI on their workforces, and 36% say they plan to do so in the next 12 months.

Methodology: The IBM Institute for Business Value, in cooperation with Oxford Economics, interviewed 3,000 CEOs from over 30 countries and 24 industries as part of the 28th edition of the IBM C-Suite Study series. The IBM Institute for Business Value also conducted a survey of 200 CEOs in the United States on their responses to generative AI.

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Part 3 reports on the current state of AI observability. Most experts agree: enterprises are moving faster with AI than they are with the operational discipline needed to run it safely ...

When discussing AI Observability, one of the first questions that arises: Is this just an extension of traditional observability or is this a whole new type of tool? Part 2 compares traditional observability with AI observability ...

In this extensive 14-part series that will post over the next three weeks, experts across observability and AI will provide insight and opinions on the need for AI Observability, the challenges, the benefits, the current state, and predictions for the future ...

Amid rising complexity, organizations are moving quickly toward agent-driven operations: AgenticOps, according to The Impact of Agentic AI on Network Operations, a new report from Cisco ...

AI, automation, and enterprise software give organizations an extraordinary amount of leverage. Work that once required hours can happen in minutes. Information buried across systems can be analyzed almost instantly. Complex workflows can be coordinated across teams with far less manual intervention. That leverage creates a temptation to start with the technology ...

Everyone wants to talk about models. Compute clusters. Benchmark scores that climb a fraction of a point and make headlines anyway. It's an easy conversation to have because it's measurable. But it's also increasingly beside the point ...

For more than a decade, the default infrastructure play has been simple. Move more workloads to the cloud, retire on-premises gear and treat the data center as a cost to shrink. That logic held while public cloud offered near-limitless capacity at predictable prices, and AI demand is now testing both halves of that assumption ...

Most enterprise IT leaders can tell you exactly how many applications are running across their organization. They can surface a dashboard showing telecom spend by region, pull a report on SaaS license utilization, or call up a real-time view of mobile device inventory. The data is there, and IT leaders have largely delivered on the promise of visibility. Yet, in most organizations, that visibility has not translated into business value ...

Government agencies are largely misjudging their level of AI governance as the technology permeates their organization, according to Racing to Deploy: How Public Sector AI Adoption is Moving Faster Than the Foundations Needed to Support It, a new report from SolarWinds ...