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

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.

You'll learn:

• The three critical AI conversations happening across the C-suite
• Why ROI is no longer a sufficient measure of AI success
• How "human-plus" work and shifting team boundaries are reshaping the organization
• What defines an AI-shaped enterprise and how to start thinking like one

Dig deeper:

• Learn how to communicate AI's value
• Attend a Gartner CIO Conference near you
• See why Gartner is the world authority on AI

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.

You'll learn:

• Why corporate-speak fails in times of change and what to say instead
• The 10x10x10 rule for reinforcing priorities with your team
• How guiding principles offer stability and direction

Dig deeper:

• See why Gartner is the world authority on AI
• Try out AskGartner for more AI-powered insights
• Learn how to create a strategic workforce plan

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.

You'll learn:

• Why productivity gains alone don't guarantee financial returns
• Where AI value gets trapped inside workflows and operating models
• How to redesign work around end‑to‑end outcomes, not individual tasks
• What it takes to lead organizational change and consistently convert AI into ROI

Dig deeper:

• Register to watch the full "Value is Trapped" webinar
• Learn how to prove quantifiable value from AI
• See why Gartner is the world authority on AI

AI is pushing the services industry into a new kind of competitive divide.

In this episode of Gartner ThinkCast, Gartner experts Craig Lowery and Scott Frederick explore the growing split in AI services — where platform-driven, AI-enabled providers are accelerating ahead, and digital-only models are struggling to keep up. From autonomous agents and intelligent service delivery platforms to the rise of "phygital" experiences, they unpack how AI is moving beyond apps into real-world environments — and what that means for competition, growth and strategy.

You'll learn:

• Why the AI services market is splitting and who's winning
• How AI agents and platforms enable "growth without growth"
• Why hyperscalers threaten digital-only service strategies
• Where "phygital" experiences create new competitive advantage

Dig deeper:

• Download the Top 3 Priorities for Tech Services Leaders
• Learn more about Gartner for Tech Services Practice Leaders
• See why Gartner is the world authority on AI

Agentic AI is likely the most hyped technology in enterprise IT, but its long-term potential is still just as real.

In this episode of Gartner ThinkCast, Distinguished VP Analyst Rajesh Kandaswamy breaks down the 2026 Hype Cycle for Agentic AI — what it is, why it matters, and how leaders can separate real opportunity from market noise. From rising investment interest to the challenges of governance, integration and scale, this conversation unpacks where organizations are today — and what comes next.

You'll learn:

• What Gartner Hype Cycles reveal and how to use them effectively
• Why agentic AI is at peak hype, but still early in adoption
• The real barriers to success: governance, guardrails and clean data
• How to identify high-value use cases and avoid "agent washing"

Dig deeper:

• Download the full Hype Cycle for Agentic AI
• See why Gartner is the world authority on AI
• Try out AskGartner for more AI-powered insights