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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.
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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
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.
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Timestamps:
(00:00) Understanding the difference between brand and reputation
(03:44) The 4D Framework for shaping executive perception
(08:53) How GenAI can help strengthen your executive brand
(12:00) Identifying gaps between perception and reality
(18:36) Turning your brand strategy into daily habits
(22:10) Why reputation changes more slowly than behavior
(24:22) How to protect and sustain your executive reputation
(27:16)The first step to building a stronger executive brand
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.
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Timestamps:
(00:42) Why AI ethics is now a business issue
(02:31) Lessons from past technologies
(04:40) Rethinking the human-AI relationship
(09:50) Increase capability, not reduce accountability
(12:20) The fears leaders should take seriously
(15:00) Addressing workforce anxiety
(19:52) Building proactive AI guardrails
(28:24) The biggest challenges ahead
(31:10) Where leaders should start today
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.
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Timestamps:
(00:00) Intro
(01:31) A new business era begins
(05:18) Defining autonomous business
(07:10) What autonomous supply chains look like
(09:35) The rise of machine customers
(12:22) Success isn't about AI first
(17:25) Exploitation versus exploration
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
How AI agents will reshape data and analytics workflows and operating models
What AI-native organizations are doing differently to generate value
Why "questioneers" may become the workforce advantage of the future
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Enhance your data, analytics and AI strategy
See why Gartner is the world authority on AI
Timestamps:
(00:00) Intro
(01:40) A New AI Advantage
(03:25) Beyond Models and Infrastructure
(07:57) Three Shifts for D&A Leaders
(12:08) Human-Agent Teams
(16:45) Analytics Gets Automated
(20:42) Hiring for the AI Era
(22:40) Making AI Pay Off
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.
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Timestamps:
(00:00) Intro
(02:22) The hidden risks of low AI literacy
(05:30) Why leaders keep buying more tools
(08:40) Who owns AI literacy?
(09:50) Building an AI-literate workforce
(15:50) Why AI literacy affects everyone
(21:20) Making AI literacy stick
(25:16) The first step leaders should take
Many companies cut talent in pursuit of AI value. Now they're discovering what was lost in the process.
In this episode, we explore a shift taking place in organizations' AI journeys: after an initial rush to pursue productivity gains and cost savings, many leaders are rediscovering that human expertise is essential to realizing AI's full value. Gartner Senior Executive Partner Denise McCurdy joins us to share what she's hearing directly from CIOs as they navigate mounting pressure to deliver AI outcomes, implement agentic AI and prepare for new operating models — all while preserving the people, knowledge and relationships that drive lasting transformation.
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In this episode of Gartner ThinkCast, we explore how executive conversations about AI are rapidly evolving — and why focusing on ROI alone is no longer enough. Drawing from his standout session from Gartner CIO Leadership Forum, VP Analyst Nate Suda unpacks three distinct C-suite perspectives shaping AI strategy today: value, workforce and operating philosophy.
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In this episode of Gartner ThinkCast, we dive into what strong leadership really looks like when the path ahead is unclear. From economic disruption to AI-fueled transformation, uncertainty is now a defining feature of the business landscape.
Gartner expert Mary Mesaglio returns to offer a succinct and timely playbook. Drawing from conversations with CEOs, CIOs and senior leadership around the globe, Mary shares three practical strategies for leading through volatility, ambiguity and change. Learn why clear communication, hyper-focused priorities and transparent guiding principles are the essential tools every executive and new leader needs today.
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AI is delivering pockets of productivity, but far less business value than expected.
In this episode of Gartner ThinkCast, Distinguished VP Analyst Fran Karamouzis explores why so much AI ROI remains stuck inside organizations, never reaching the bottom line. While many leaders expect gains in individual productivity to translate directly into financial outcomes, legacy processes, siloed structures and outdated operating models often prevent that value from scaling. In a preview of a recent standout webinar, you'll hear what it really takes to unlock measurable impact — from rethinking how work flows across teams, to redesigning end‑to‑end processes, and leading the organizational change required to make AI stick.
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