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Only 33% of Organizations Fully Track AI Value, New Data & AI Monitor Finds
71% of organizations use generative AI assistants but only 33% fully track the value AI brings.
Summary
The second edition of Xebia and Data Expo's Data & AI Monitor, based on responses from more than 600 AI and data professionals, finds that 71% of organizations use generative AI assistants but only 33% fully track the value AI brings.
Xebia, a global AI-first digital transformation and engineering partner, in collaboration with Data Expo, today released the next edition of the Xebia Data & AI Monitor, a market research report built on insights from more than 600 data and AI professionals. The report offers an in-depth view of how organizations are working with data and AI, where the momentum is, what the major hurdles are, and how leaders are navigating complexity at scale.
The 2026 edition reflects responses from key decision-makers and practitioners across Central Europe, the United States, the Middle East, and Africa. Sectors represented include finance, healthcare, retail, manufacturing, media, and public services. Respondents range from C-level executives to data scientists, architects, and product managers, who are closest to execution.
Key findings from the 2026 Data & AI Monitor
- 71% of organizations now use generative AI assistants.
- 62% of organizations are confident in their AI strategy.
- Only 33% of organizations believe they are fully capturing and tracking the value AI brings.
- 26% of respondents trust an AI model's output as much as a human colleague's judgment, a figure consistent with last year's findings.
- More than 78% of organizations acknowledge relying on third-party providers for critical AI infrastructure.
The findings reveal that companies have decisively moved past the question of “if” to adopt AI, but they are confronting a harder challenge: proving that adoption is actually paying off.
How dependent are organizations on AI providers?
More than 78% of organizations acknowledge relying on third-party providers for critical AI infrastructure. Comfort with that dependence is rising alongside it rather than falling, and the tension is particularly acute in Central Europe, where concerns about digital sovereignty and Big Tech concentration risk have moved from policy debates to boardroom agendas. The Data & AI vendor landscape is also perceived as markedly more crowded than 12 months ago.
The report provides a benchmark of AI readiness and trust across industries. It identifies what is working and what needs focus, giving leaders the insight to move from experimentation to scalable, governed, and business-aligned AI systems.
About Xebia
Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 4,500+ professionals across 17 countries, Xebia specializes in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products and Platforms. With a strong focus on engineering excellence and a people-first culture, they equip organizations to apply emerging technologies that accelerate business innovation and drive sustainable competitive advantage. Xebia leads with a responsible and human-centric approach to AI, ensuring organizations shape a better tomorrow for all.
About Data Expo
Data Expo is the platform where data and AI professionals come together to share knowledge, ideas, and innovations. Specialists from different data disciplines and levels meet to share insights, making complex data issues understandable and applicable. Bringing tech and business together creates not only depth of content but also practical applicability. Data Expo offers a unique environment for data projects to succeed.
Media Contact
Maureen Elsberry
Global VP of Communications - Xebia
communications@xebia.com
Frequently Asked Questions
What is the Xebia Data & AI Monitor?
The Xebia Data & AI Monitor is a flagship market research report, released by Xebia in collaboration with Data Expo, on how organizations work with data and AI. The 2026 edition draws on responses from more than 600 AI and data professionals.
Are organizations getting value from AI?
Based on Data & AI Monitor, only 33% of organizations believe they are fully capturing and tracking the value AI brings, even though 71% use generative AI assistants and 62% are confident in their AI strategy.
Who responded to the survey?
Respondents include C-level executives, data scientists, architects, and product managers across Central Europe, the United States, the Middle East, and Africa. Sectors include finance, healthcare, retail, manufacturing, media, and public services.
What share of organizations trust AI model outputs?
26% of respondents trust an AI model's output as much as a human colleague's judgment, a figure consistent with last year's findings. The research links that trust gap to model reliability, validation practices, and unfamiliarity with how AI systems fail.
How dependent are organizations on third-party AI providers?
More than 78% of organizations acknowledge relying on third-party providers for critical AI infrastructure, and comfort with that dependence is rising alongside it.
Who publishes the report?
Xebia, a global AI-first digital transformation and engineering partner, published the seventh edition in collaboration with Data Expo.
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