Collibra Survey Finds 86% of Tech Leaders Confident in Agentic AI ROI

Oct 31, 2025
A new survey by Collibra and The Harris Poll shows that most technology decision-makers believe agentic AI will deliver strong returns, with 91% of organizations developing or rolling out such systems.

Collibra announced the results of a new survey conducted by The Harris Poll, revealing that 86% of technology decision-makers are confident that agentic AI will generate adequate returns on investment. The survey included more than 300 U.S. professionals involved in data management, privacy, and AI decision-making.

According to the findings, 91% of organizations are developing or rolling out agentic AI systems, though most remain in early stages. Three-quarters of respondents identified the IT and software sector as leading in successful implementation. Many organizations reported using third-party partnerships (58%) or mergers and acquisitions (44%) to advance their AI capabilities, while 49% are building solutions internally.

The survey also found that fewer than half of respondents have formal AI governance frameworks or employee training programs in place. However, 60% reported monitoring systems for bias and transparency, and 52% conduct regular AI risk assessments. Additionally, 83% expressed confidence that their unstructured data used for AI agents is governed and reliable.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Enterprise AI Brief or Daily AI Brief.

Also, consider following us on social media:

Free newsletter

Enterprise AI Brief

Weekly report on AI business applications, enterprise software releases, automation tools, and industry implementations.

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more
Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.