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