Show overview
Gartner ThinkCast has been publishing since 2018, and across the 8 years since has built a catalogue of 305 episodes. That works out to roughly 130 hours of audio in total. Releases follow a fortnightly cadence.
Episodes typically run twenty to thirty-five minutes — most land between 17 min and 29 min — though episode length varies meaningfully from one episode to the next. None of the episodes are flagged explicit by the publisher. It is catalogued as a EN-language Technology show.
The show is actively publishing — the most recent episode landed 2 weeks ago, with 30 episodes already out so far this year. The busiest year was 2018, with 65 episodes published. Published by Gartner.
From the publisher
Gartner ThinkCast puts you at the intersection of business and technology with insights from the top experts on how to build a more successful organization, team and career in the Digital Era. Join us every Tuesday to get your competitive advantage. View all Gartner ThinkCast episodes at https://www.gartner.com/en/podcasts/thinkcast
Latest Episodes
View all 305 episodesThe Executive's Guide to Shaping Your Brand and Reputation
AI Ethics Explained: Preparing for the Human-AI Future
The Autonomous Era Is Here: What Supply Chain Leaders Need to Do Next
Data and Analytics 2030: The Future AI-Native Enterprise
Start With AI Literacy: Why Most Leaders Are Missing the Point
AI Needs People: Why CIOs Are Rethinking the Productivity Play
How Executives Actually Talk About AI
The 3 Practices for Leading Through Uncertainty
Get AI ROI Unstuck: From Productivity to True Business Value
The AI Services Split: From Digital to Phygital
The 2026 Hype Cycle for Agentic AI: What Leaders Need to Know
Turn AI Risk Into a Resilience Advantage
Scaling Agentic AI: Why CIOs Can't Go It Alone
Inside the Top Cybersecurity Trends for 2026
AI After the Hype: Why Scaling Value Means Quitting More
The "AI-Free" Trust Disruption: Backlash or the Future of Responsible AI?
The AI Upskill Most Teams Are Overlooking
Human Moments That Matter in an AI‑Driven Customer Experience
AI can answer faster, personalize at scale, and automate entire customer journeys, but it can't make someone feel seen. In this episode of ThinkCast, recorded from a live session at Gartner CIO Leadership Forum, Gartner Distinguished VP Analyst Don Scheibenreif explores why customer experience breaks down when efficiency overtakes empathy — and what CIOs can do to keep humanity at the center of AI‑driven design. Through real‑world stories from travel, retail, financial services and the public sector, Don shows how "moments of humanity" shape trust, loyalty and long‑term growth. You'll learn: What happens when organizations over‑automate customer relationships How to recognize and design for moments that truly matter Where empathy fits into AI‑driven efficiency efforts Why CX challenges often stem from design decisions, not technology limits How CIOs can ensure AI enhances experiences without dehumanizing them Dig deeper: Attend a Gartner CIO Conference near you See why Gartner is the world authority on AI Try out AskGartner for more AI-powered insights
How AI Really Thinks — and Why It Hallucinates
In this episode of ThinkCast, we explore one of the most persistent — and evolving — challenges with AI: hallucinations. Gartner Chief of Research Chris Howard breaks down what hallucinations really are, why they happen and what they reveal about how machines think. From multiagent systems to physics-informed neural networks, discover how the next wave of AI innovation is moving beyond prediction and toward precision, all while relying on AI-ready data. You'll learn: Why hallucinations happen and what they say about how AI works How multiagent systems and PINNs are changing how machines reason When to use probabilistic neural networks vs. deterministic tools Why not every business problem needs AI How hallucinations might actually help reframe your thinking Dig deeper: Download Gartner's CIO Agenda for 2026 Try out AskGartner for more AI-powered insights See why Gartner is the world authority on AI
AI Is Ready, Your Workforce Isn't: Why AI ROI Falls Short
Most organizations don't have an AI problem — they have a human readiness problem. Despite massive investment and accelerating adoption, most AI initiatives are falling short of real business impact. The reason isn't immature technology. It's that workforces, roles and leaders haven't been prepared for what AI actually changes. In this episode, Gartner VP Analyst Alicia Mullery explains why the gap between AI innovation and AI outcomes continues to widen. In a preview of her recent webinar on workforce readiness, you'll hear what's really happening: not mass layoffs, but hiring restraint, role redesign, and a strategic remix of talent — all of which demand far more change management than most organizations anticipate. You'll learn: Why most AI initiatives stall at productivity gains instead of delivering financial ROI The three types of AI value and how confusion between them derails results What's actually happening to jobs as AI adoption accelerates The essential skills every employee needs in an AI‑dominant future Why change management is the missing linchpin for sustained AI impact Dig deeper: Register to watch the full Workforce Readiness webinar Try out AskGartner for more AI-powered insights See how Gartner is the world authority on AI