From AI Momentum To AI Maturity: The AI Trust Paradox And What Must Change In 2026

🚀 AI adoption is surging in 2026, but are organizations actually ready to scale it safely and responsibly? In this interview, I sit down with Nathan Turajski, Senior Director for Product Marketing at Informatica, to explore the key findings from Informatica’s CDO Insights 2026 report and what they reveal about the next phase of enterprise AI. We discuss why trust in AI is rising faster than readiness, what the AI trust paradox means for leaders, and why data foundations, governance, and literacy will decide who wins with GenAI and agentic AI. 🧠📊🔐 You will learn how leading data teams are thinking about: ✅ The AI trust paradox, confidence vs readiness ✅ Scaling GenAI from pilots to production, and why data reliability still blocks progress ✅ Agentic AI adoption, new risks when systems can act, not just advise ✅ Unstructured data governance, emails, PDFs, transcripts, and the new frontier of trusted context ✅ AI literacy and data literacy: why people are becoming the real scaling constraint ✅ Vendor sprawl and complexity: how tool fragmentation can slow ROI and increase risk 📄 Download Informatica’s CDO Insights 2026 report:

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From AI Momentum To AI Maturity: The AI Trust Paradox And What Must Change In 2026 is an episode from Bernard Marr's Future of Business & Technology Podcast by Bernard Marr.

This episode is 53:06 long.

This episode was published on Jan 26, 2026.

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