Report: AI Is Moving Faster than Data Trust — Campus Technology
Report: AI Is Moving Faster than Data Trust — Campus Technology
Publish Date: 2026-06-03 17:13:00
Source Domain: campustechnology.com
Report: AI Is Moving Faster than Data Trust
Veeam Software says enterprise AI adoption is advancing faster than the data governance, visibility, and recovery controls needed to support it, creating what the company calls a “Data and AI Trust Gap.”
The company unveiled the findings in its new Data & AI Trust Gap report, based on a global survey of 600 senior executives across various industries. Veeam’s central finding is that AI adoption itself is not the main problem: 88% of organizations are already using or piloting AI agents, but only 7% qualify as “truly AI-ready” and 95% say data challenges have already slowed AI progress.
[Click on image for larger view.] Key Findings (source: Veeam).
“Most organizations don’t have an AI adoption problem; they have an AI trust problem,” said Anand Eswaran, CEO of Veeam, in a statement. “The first phase of AI was defined by infrastructure investment, experimentation, and acceleration. The next phase will be defined by trust. With the widespread adoption of autonomous AI agents operating at machine speed, the question transitions from whether you can use AI, to whether you can ensure all your data is secure, governed, compliant and resilient. And should something go wrong, can you recover with precision? That’s how you accelerate safe AI at scale without accelerating reputational and operational risk.”
When AI Fails, It May Not Look Like Downtime
For cloud and infrastructure teams, the report’s most operationally significant finding is Veeam’s warning that AI failures may not resemble traditional outages. As AI systems become more autonomous, the company said risk is shifting from broad system downtime toward data-level failures that are harder to detect, explain, and contain.
That has implications for data protection and recovery strategies. If an AI agent…
