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. You'll learn: Why AI ethics is shifting from a compliance issue to a strategic business priority The human rights and trust risks organizations should be evaluating today How leaders can encourage AI adoption without creating overdependence What effective AI governance looks like in practice Dig deeper: Become a client to learn more about AI ethics Join us at Gartner IT Symposium/Xpo™ See why Gartner is the world authority on AI 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. You'll learn: Why Gartner believes the autonomous business era is already underway How leaders should balance short-term AI value with long-term transformation The difference between an automation mindset and an autonomous mindset What autonomous-ready operations and workforces look like in practice Dig deeper: Register to attend a Gartner Supply Chain conference Download the Gartner Supply Chain Top 25 See why Gartner is the world authority on AI 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 Dig deeper: Register to watch the full webinar 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. You'll learn: Why AI literacy — not more AI tools — is the foundation for AI success How prompt discipline can improve output quality and reduce AI costs The critical thinking skills employees need to work effectively alongside AI Practical steps leaders can take to drive sustained AI adoption and value Dig deeper: Become a client to learn more about AI literacy Attend a Gartner CIO Conference near you See why Gartner is the world authority on AI 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. You'll learn: Why productivity gains alone rarely create lasting AI value The difference between "blue money" and "green money" outcomes How organizations are rehiring talent they initially replaced Why CIOs must deepen collaboration with CFOs and business leaders Dig deeper: Download the 1H 2026 Gartner CIO Report Attend a Gartner CIO Conference near you See why Gartner is the world authority on AI