CHICAGO, Aug. 05, 2026 (GLOBE NEWSWIRE) -- TransUnion (NYSE: TRU) today announced its research that found many organizations remain unprepared to scale AI effectively or clearly measure its business impact despite increasing investments in the capability.
TransUnion commissioned United Talent Agency’s (UTA) brand advisory division to survey 100 senior marketing and technology leaders at major U.S. brands. The findings reveal a confidence-readiness paradox. Marketers are increasingly confident AI will transform marketing, yet many lack the people, data and process foundations required to realize its full value, beyond efficiency improvements.
Defining the confidence-readiness paradox:
- AI investment is accelerating:Â 89% of marketers expect investment in AI-enabled marketing initiatives to increase over the next 12 to 24 months.
- Confidence outpaces readiness: 64% are confident they will achieve their AI-enabled marketing goals. However, only 42% rate their organization’s people readiness as high, while just 36% rate their data and process readiness as high.
- Transparency is lacking:Â Fewer than half (48%) say they have enough visibility into platform-level AI to make optimization decisions with confidence.
- Marketers are mostly focused on efficiency:Â 65% of marketers measure AI success primarily through time and cost savings, but less than half use more advanced methodologies like marketing mix modeling, multi touch attribution and incrementality testing.
"Marketers are increasingly confident in AI's ability to drive business results, but many are still working to build the foundations needed to scale it effectively," said Matt Spiegel, EVP, TruAudience Growth Strategy, TransUnion. "However, AI isn't a shortcut around data challenges. It's a force multiplier. Organizations that build strong foundations of trusted data, identity and measurement will be best positioned to close the gap between AI ambition and AI outcomes."
The Barriers to AI Readiness
The study found that data fragmentation remains one of the industry's biggest obstacles to AI readiness. The limitations inhibit marketers’ ability to evaluate AI’s effectiveness and achieve meaningful business outcomes.
Top concerns related to data fragmentation
- 42% reported incomplete or missing data
- 69% said data blind spots within walled gardens limit their ability to evaluate AI effectiveness
- 70% said cross-channel blind spots make it difficult to understand AI's impact across the customer journey
As AI becomes more deeply embedded in marketing workflows, the findings suggest that transparency, independent measurement and connected data will become increasingly important competitive advantages.
"What this research makes clear is that AI success is no longer defined by access to the technology itself," said Michael Burke, principal at UTA Advisory. "The real differentiator is whether organizations can connect their data, measure outcomes and operationalize AI at scale."
Click here to read the full report exploring the AI confidence-readiness paradox and how marketers can leverage TransUnion’s robust data and connected identity to achieve meaningful ROI.
About TransUnion (NYSE: TRU)
TransUnion is a global information and insights company with over 13,000 associates operating in more than 30 countries. We make trust possible by ensuring each person is reliably represented in the marketplace. We do this with a Tru™ picture of each person: an actionable view of consumers, stewarded with care. Through our acquisitions and technology investments we have developed innovative solutions that extend beyond our strong foundation in core credit into areas such as marketing, fraud, risk and advanced analytics. As a result, consumers and businesses can transact with confidence and achieve great things. We call this Information for Good® — and it leads to economic opportunity, great experiences and personal empowerment for millions of people around the world. http://www.transunion.com/business
Recommended For You:
Six Ways in which Artificial Intelligence can be useful for IT operations
