78% of enterprises admit their data isn't ready for AI. They're deploying anyway.

CompTIA just dropped a survey of 1,027 organizations today.

59% now prioritize integrating AI into existing tech environments and business processes.

Not experimenting. Integrating.

But here's the part that should make your CIO lose sleep:

78% acknowledge room for improvement in their data practices.

Read that again. They're moving AI from pilot to production — while admitting the data foundation underneath is broken.

This is the real AI risk in 2026. Not model capability. Not regulation. Data readiness.

57% of organizations facing skills gaps plan to build new training programs spanning AI, data management, cybersecurity, and business process skills.

Translation: they cut the people who understood the data, and now they need to retrain whoever's left to make AI work on top of data they don't trust.

The enterprises that win the next 18 months won't be the ones with the best models.

They'll be the ones who fixed their data layer before deploying AI agents on top of it.

Audit your data governance posture now. If your teams can't answer where your training data lives, who has access, and how it's versioned — your AI deployment is a liability, not an asset.

SOURCE: https://www.prnewswire.com/news-releases/enterprise-ai-enters-execution-phase-comptia-research-finds-302858354.html
VERIFIED: CompTIA official press release (Aug 25, 2026), prnewswire.com, comptia.org
SIGNAL: Enterprise AI is crossing the chasm from experimentation to deployment — but organizations are discovering their data foundations can't support it. This is the ROI trap that will define which AI investments pay off.