IBM Study Reveals Chief Data Officers Face Challenges in AI Readiness

On November 13, 2025, the IBM Institute for Business Value released a comprehensive study examining the evolving role of Chief Data Officers (CDOs) as enterprises accelerate their ambitions for artificial intelligence (AI). The study, based on insights from 1,700 CDOs worldwide, highlights a significant gap between organizations' AI ambitions and their readiness to leverage data effectively.

The study reveals that while a substantial 81% of CDOs report their data strategies are now integrated with their technology roadmaps and infrastructure investments—up from 52% in 2023—only 26% express confidence that their data can support new AI-enabled revenue streams. This discrepancy underscores the challenges organizations face in harnessing the full potential of their data amidst growing AI aspirations.

Barriers including data accessibility, completeness, integrity, accuracy, and consistency are cited as major impediments to effectively leveraging enterprise data for AI initiatives. Ed Lovely, VP and Chief Data Officer at IBM, emphasized the importance of establishing a seamlessly integrated enterprise data architecture to fuel innovation and unlock business value.

The role of CDOs is transitioning from mere data custodians to business strategists who must focus on delivering measurable business outcomes. The survey reveals that 92% of CDOs believe success in their role hinges on demonstrating the business value of data. However, only one-third of respondents feel they can effectively convey how data drives business results, and just 29% have established clear metrics for measuring data-driven outcomes.

Interestingly, 84% of CDOs reported that their unique data products have provided significant competitive advantages, with 78% identifying the leveraging of proprietary data as a key strategic objective for market differentiation. This shift in focus towards deploying data for competitive advantage signals a major evolution in the CDO's priorities.

Despite the readiness gap, CDOs remain optimistic about AI's potential. A notable 81% prioritize investments that enhance AI capabilities, yet only 26% are confident in their ability to utilize unstructured data for business value. The majority (81%) of CDOs advocate for bringing AI to data rather than centralizing it, indicating a strategic shift in how organizations approach AI integration.

While 80% of leaders have begun developing diverse datasets for training AI agents, 79% acknowledge they are still in the early stages of defining how to scale and govern these datasets. Notably, 83% of respondents believe that the benefits of deploying AI agents outweigh the associated risks, and 77% are comfortable with their organizations relying on outcomes generated by AI agents.

A data-driven culture is increasingly seen as essential for organizational success. The study reveals that 82% of CDOs believe data is wasted without proper access for employees, and 80% assert that data democratization accelerates organizational agility. Despite these insights, fostering a data-driven culture continues to pose significant challenges.

Moreover, talent gaps represent a notable obstacle. The survey found that 47% of CDOs identified attracting, developing, and retaining advanced data talent as a top challenge—an increase from 32% in 2023. Additionally, 77% reported difficulties in filling key data roles, with only 53% stating that recruitment efforts are yielding the necessary skills and experience, down from 75% in 2024.

The IBM study paints a complex picture of the current state of data strategy among organizations worldwide. With high ambitions for AI yet significant gaps in readiness, CDOs are navigating a critical transition from data management to strategic leadership. As the demand for effective data utilization intensifies, organizations must address the barriers of data integrity and talent acquisition to harness the full potential of AI and maintain a competitive edge in their respective markets.