Show Notes
AI headlines are moving at warp speed, but do business leaders really need to react to every piece of news? In this episode of ThinkCast, Gartner Senior Director Analyst Deepak Seth returns to unpack what matters most in enterprise AI right now. From separating hype from reality to managing rising AI costs and preparing organizations for "human + AI" ways of working, Deepak shares practical guidance for CIOs trying to stay focused amid constant disruption. Drawing on conversations with executives across industries, he explains why data, context and governance remain the true foundations of AI success.
You'll learn: Why the latest AI model isn't always the right one for your business How CIOs can cut through AI hype and focus on fit-for-purpose outcomes What "human + AI" workflows mean for jobs, skills and organizational design Why data, context and organizational memory will shape AI's next phase
Dig deeper: Become a client for the latest AI insights Join us at Gartner IT Symposium/Xpo™ See why Gartner is the world authority on AI
Timestamps: (00:00) Intro (02:40) The fundamentals leaders still can't ignore (05:00) Why the latest model isn't always the best (06:30) Preparing for human + AI work (09:22) Moving beyond productivity gains (11:31) Managing AI costs and business value (14:35)The power of data, context and memory (17:22) The future of intelligence
More from Gartner ThinkCast
Strong execution might earn results, but it doesn't automatically build influence. In this episode of ThinkCast, Gartner Vice President Analyst Rob O'Donohue explains why CIOs can no longer afford to leave their leadership brand to chance. From understanding the difference between brand and reputation to diagnosing when a reset is needed, Rob shares a practical "4D" Framework to help leaders intentionally shape how they're perceived and trusted across the organization.
AI adoption is accelerating. But are organizations moving just as fast on AI ethics? In this episode of ThinkCast, Gartner Senior Principal Analyst Shanna Grafeld explores why AI ethics has become a business imperative, not just a technology concern. From human rights risks and workforce trust to governance, accountability and the evolving human-AI relationship, hear how leaders can stay ahead of AI challenges before they become costly problems.
The autonomous business era is no longer a future-state vision. It's already reshaping how supply chains operate. In this episode of Gartner ThinkCast, you'll hear from Gartner Senior Director Analyst Lindsay Azim as she delivers a preview of the 2026 Gartner Supply Chain Symposium/Xpo Opening Keynote. Drawing on both Gartner insights and real-world examples, she explores why success isn't about implementing AI first, fastest, or even best. It's about preparing supply chains for a future where people and machines work together to drive agility, resilience and growth.
By 2030, AI models may be everywhere. Competitive advantage won't be. In this episode of Gartner ThinkCast, Distinguished Vice President Analyst and Chief of Research Rita Sallam explores what will separate the true leaders as AI becomes increasingly commoditized. Drawing from Gartner's vision for the AI-native enterprise, she outlines the critical shifts data and analytics leaders need to make now, from building trusted data and context foundations to rethinking workforce design, governance, and the role of AI agents in decision-making. You'll learn: Why trusted data will become the primary sources of AI differentiation
AI isn't failing. AI literacy is. Nearly half of CEOs say their AI investments are breaking even at best. In this episode of ThinkCast, Gartner Distinguished Vice President Analyst Mandi Bishop explains why the biggest barrier to AI value isn't the technology — it's people's ability to work effectively with it. Learn how critical thinking, prompt discipline and AI literacy can improve adoption, reduce risk and unlock better business outcomes.