Gartner ThinkCast

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

How should software engineering evolve for the age of AI? As organizations rush to weave GenAI and agentic AI into every product and workflow, engineering teams face a new reality: you can't scale AI without redesigning how software gets built.
 
In this episode, Gartner experts Manjunath Bhat, Akis Sklavounakis and Shameen Pillai break down what that redesign actually looks like. They'll explore the team structures that help scale GenAI to repeatable delivery, the platform patterns that reduce cognitive load and drive value, and the API strategies that AI implementation can't function without.
 
You'll learn:
Why GenAI efforts fail without the right team structures
How platform engineering reduces complexity and accelerates delivery
Why APIs are the backbone of GenAI and agentic AI
The five‑dimension API maturity model and where to focus first
The tools and next steps to scale AI safely and effectively
 
Dig deeper:
Learn more with Gartner for Software Engineering Leaders
See why Gartner is the world authority on AI
Become a client to try AskGartner

AI hype isn't slowing down, and for cybersecurity leaders, that's exactly the point. As organizations race to inject generative AI and AI agents into every corner of the business, CISOs face a new challenge: cutting through inflated expectations without getting left behind. 
In this preview of the Opening Keynote from Gartner Security & Risk Management Summit, Gartner experts Christine Lee and Leigh McMullen explain why now is the moment for cybersecurity to stop resisting the Hype Cycle, and start using it as a strategic advantage.
 
You'll learn:
Why AI hype is becoming a catalyst, not a distraction, for cybersecurity
How to use outcome‑driven metrics to guide smarter investments
The biggest risks and realities of GenAI and AI agents
What early AI adopters in cybersecurity are doing differently
How embracing hype can strengthen resilience and unlock innovation
 
Dig deeper:
Explore more Gartner for CISOs insights
Attend a Gartner Cybersecurity Conference near you
See why Gartner is the world authority on AI
Become a client to try AskGartner

Disinformation isn't just a societal problem anymore — it's an enterprise risk with real operational, financial and reputational consequences. And as AI supercharges the volume, speed and precision of misleading content, leaders are suddenly facing a new kind of threat: one that can't be contained by traditional cybersecurity alone.
Distinguished VP Analyst and Gartner Fellow Dave Aron joins us to unpack why organizations must prepare for a "world without truth" — and why building an enterprise-wide discipline called TrustOps is the next essential capability for leaders across the C-suite.
 
You'll learn:
Why disinformation is exploding into a trillion‑dollar risk
How industrial disinformation works
Why cybersecurity can't handle modern misinformation
The top 90‑day moves leaders must make to protect brand trust
How a Trust Council becomes your frontline defense
 
Dig deeper:
Buy the book, "World Without Truth"
Attend a Gartner CIO Conference near you
Try out AskGartner for more AI-powered insights
See why Gartner is the world authority on AI

AI is accelerating faster than most IT organizations can keep up, and I&O leaders are feeling the impact. In this episode, Gartner experts Autumn Stanish and Paul Delory break down what AI's rapid rise really means for IT operations, and why doing nothing is no longer an option.
Drawing from their Opening Keynote presented at Gartner IT Infrastructure, Operations & Cloud Strategies Conference, Autumn and Paul reveal the risks, realities and opportunities behind AI agents — and the urgent changes I&O teams must make to stay in front of the business instead of falling behind it.
Tune in to discover:
The growing risk of "AI agent sprawl" and how to prevent it
Why outdated operating models make I&O the bottleneck for AI adoption
How continuous operations creates the guardrails needed for safe, scalable AI
The roadmap that prepares your infrastructure for AI agents today
 
Dig deeper:
Download the I&O Leadership Roadmap
Attend a Gartner I&O Conference near you
Try out AskGartner for more AI-powered insights
See how Gartner is the world authority on AI