Gartner ThinkCast

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gains in individual productivity to translate directly into financial outcomes, legacy processes, siloed structures and outdated operating models often prevent that value from scaling.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

AI adoption is accelerating fast, but so is enterprise risk.
In this episode of Gartner ThinkCast, Distinguished VP Analyst Paul Furtado explores the growing reality facing leaders: nearly every organization is investing in AI, yet most expect it to increase their risk profile.
Drawing from real-world examples, Paul breaks down how AI can shift from a source of exposure to a powerful driver of resilience — reducing remediation time, improving threat detection, and strengthening fraud prevention.
 
You'll learn:
The three priorities leaders must get right: security, governance and talent
How to focus on AI use cases that actually reduce risk
What separates successful AI adoption from high-speed failure



Dig deeper:
Learn more and download the 2026 Gartner CIO Report
Attend a Gartner CIO Conference near you
See why Gartner is the world authority on AI
Try out AskGartner for more AI-powered insights

Agentic AI is already reshaping how work gets done, and the biggest risk for CIOs isn't failure, it's falling behind.
In this episode of ThinkCast, Gartner VP Analyst Brandon Germer explains why scaling agentic AI can't be done in silos, and how CIOs must co-lead with other C-suite members to build the financial, operational, and governance foundations for enterprise-wide impact.
 
You'll learn:
Why the biggest risk in agentic AI isn't failure — it's waiting too long to act
What it takes to scale AI beyond isolated use cases into enterprise-wide systems
How to align the CIO, CFO, COO and CHRO around shared outcomes
Why the CIO's role is shifting from technology owner to orchestrator



Dig deeper:
Download our guide to realizing AI value
Attend a Gartner CIO Conference near you
See why Gartner is the world authority on AI
Try out AskGartner for more AI-powered insights