IBM Study: Chief Data Officers Redefine Strategies as AI Ambitions Outpace Readiness

Rhea-AI Summary

IBM (NYSE: IBM) released a global study (Nov 13, 2025) of 1,700 CDOs showing a large gap between AI ambition and data readiness.

Key findings: 81% prioritize investments that accelerate AI; 78% cite leveraging proprietary data as a top strategic objective; only 26% are confident data can support new AI-enabled revenue; 47% say advanced data talent is a top challenge (up from 32% in 2023).

The study reports progress integrating data strategy with tech roadmaps (81% vs 52% in 2023) but highlights barriers—accessibility, completeness, integrity, accuracy, and consistency—that limit AI scale.

Positive

• 81% of CDOs prioritize investments accelerating AI capabilities
• 81% report data strategy integrated with technology roadmap (vs 52% in 2023)
• 78% target leveraging proprietary data as a strategic differentiator
• 84% say unique data products provided significant competitive advantages

Negative

• Only 26% confident data can support new AI-enabled revenue streams
• 26% confident using unstructured data to deliver business value
• 47% cite advanced data talent as a top challenge (up from 32% in 2023)
• 77% struggling to fill key data roles; recruiting effectiveness fell to 53% from 75% in 2024

News Market Reaction

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• 81% of Chief Data Officers surveyed prioritize investments that accelerate AI capabilities and initiatives.
• 78% of surveyed leaders cite leveraging proprietary data is a top strategic objective to differentiate their organization in the market.
• Nearly half of respondents identify advanced data skills as a top challenge – rising from 32% in 2023.

ARMONK, N.Y., Nov. 13, 2025 /PRNewswire/ -- A new global study by the IBM (NYSE: IBM) Institute for Business Value reveals enterprise data strategies are rapidly evolving as organizations race to scale AI across their business. The findings suggest that while Chief Data Officers (CDOs) are at the helm of this transformation, many say their data is still not ready to unlock AI's full potential.

Based on insights from 1,700 CDOs worldwide, the study* highlights a widening gap between AI ambition and readiness. Although 81% of surveyed CDOs report their organization's data strategy is integrated with its technology roadmap and infrastructure investments --compared to 52% in 2023 -- only 26% are confident their data can support new AI-enabled revenue streams. In addition, barriers such as data accessibility, completeness, integrity, accuracy, and consistency are preventing organizations from fully leveraging enterprise data for AI.

"Enterprise AI at scale is within reach, but success depends on organizations powering it with the right data. For CDOs, this means establishing a seamlessly integrated enterprise data architecture that fuels innovation and unlocks business value," said Ed Lovely, VP and Chief Data Officer, IBM. "Organizations that get this right won't just improve their AI, they'll transform how they operate, make faster decisions, adapt to change more quickly and gain a competitive edge."

Key findings include:

The CDO role is shifting from data custodian to business strategist as proving data's value remains a challenge

• The majority (92%) of CDOs surveyed say they must focus on business outcomes to succeed in their role.
• Yet, only one-third of respondents strongly agree they can clearly convey how data facilitates business results, and just 29% have clear measures to determine the value of data-driven business outcomes.
• Deploying data for competitive advantage is now the top priority for CDOs, ahead of governance and security as core responsibilities.
• 84% of CDOs surveyed say their unique data products have already provided significant competitive advantages, and 78% cite leveraging proprietary data as a top strategic objective to differentiate their organization in the market.

AI ambitions remain high amid AI-data gap

• 81% of CDOs surveyed prioritize investments that accelerate AI capabilities and initiatives.
• Yet, only 26% of CDOs surveyed are confident their organization can use unstructured data in a way that delivers business value.
• To help close this gap, 81% of CDOs surveyed say they bring AI to data rather than centralizing it.
• While 80% of surveyed leaders have started developing diverse datasets to train AI agents, 79% admit being early in the process of defining how to scale and govern them.
• Despite these challenges, 83% of respondents believe the potential benefits of deploying AI agents outweigh the risks, and 77% are comfortable with their organization relying on outcomes from AI agents.

A data-driven culture is viewed as essential, but talent gaps may slow progress

• 82% of CDOs surveyed say data is wasted if their organization isn't giving people access to it, and 80% say data democratization helps their organization move faster.
• While 74% of respondents actively promote a culture of data stewardship among employees, fostering a data-driven culture remains a top strategic challenge for those surveyed.
• At the same time, 47% of CDOs surveyed now say attracting, developing and retaining talent with advanced data skills is a top challenge – up from 32% in 2023.
• 77% of surveyed leaders are struggling to fill key data roles, and only 53% say recruiting and retention efforts deliver the skills and experience needed – down from 75% in 2024.

To view the full study, visit: https://www.ibm.com/thought-leadership/institute-business-value/en-us/report/2025-cdo

*Study Methodology
The IBM Institute for Business Value, in cooperation with Oxford Economics, surveyed 1,700 senior data and analytics leaders holding titles such as Chief Data Officer, Chief Data and Analytics Officer, Chief Analytics Officer, Chief AI Officer and other senior roles. The survey was conducted across 27 geographies and 19 industries between July and September 2025. Survey topics included data strategy, data standards, quality, and integrity, data governance, data readiness for AI, talent, and organizational culture.

The IBM Institute for Business Value, IBM's thought leadership think tank, combines
global research and performance data with expertise from industry thinkers and leading academics to deliver insights that make business leaders smarter. For more world-class thought leadership, visit: www.ibm.com/ibv. To receive more insights, subscribe to the IdeaWatch newsletter: https://ibm.co/ibv-ideawatch. 

About IBM
IBM is a leading provider of global hybrid cloud and AI, and consulting expertise. We help clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs and gain the competitive edge in their industries. Thousands of government and corporate entities in critical infrastructure areas such as financial services, telecommunications and healthcare rely on IBM's hybrid cloud platform and Red Hat OpenShift to affect their digital transformations quickly, efficiently and securely. IBM's breakthrough innovations in AI, quantum computing, industry-specific cloud solutions and consulting deliver open and flexible options to our clients. All of this is backed by IBM's long-standing commitment to trust, transparency, responsibility, inclusivity and service.  Visit www.ibm.com for more information.

Media Contact
Marisa Conway
IBM Corporate Communications
conwaym@us.ibm.com

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SOURCE IBM

FAQ

What did IBM report about CDO priorities in the Nov 13, 2025 study?

IBM reported 81% of CDOs prioritize investments to accelerate AI capabilities and initiatives.

How confident are organizations in using data for AI-driven revenue, according to IBM (IBM) study?

Only 26% of CDOs said they are confident their data can support new AI-enabled revenue streams.

What talent challenges did the IBM (IBM) CDO study identify on Nov 13, 2025?

47% of CDOs now cite attracting and retaining advanced data talent as a top challenge, up from 32% in 2023.

How has data strategy integration changed since 2023 in IBM's 2025 CDO study?

CDOs reporting integrated data strategy and tech roadmap rose to 81%, from 52% in 2023.

What barriers to scaling AI did the IBM (IBM) study highlight?

The study flagged data accessibility, completeness, integrity, accuracy, and consistency as barriers to scaling AI.

Where can investors read the full IBM CDO study released Nov 13, 2025?

The full study is available at IBM's Institute for Business Value website: ibm.com/thought-leadership/institute-business-value/en-us/report/2025-cdo.