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Riding the Wave: Key Takeaways from Gartner IOCS 2025

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Jim Lancer

TL;DR

AI may be in the hype phase, but Gartner IOCS 2025 made it clear that organizations must modernize now. Tech debt, siloed systems, and reactive operations will limit readiness for agentic AI and the demands of 2026.

Gartner IOCS 2025 made one thing abundantly clear: change is no longer incremental. It is exponential. Across every session and conversation, the message was consistent. The wave is coming, and it is powered by AI. Organizations now face a choice: be swept up by it or learn how to ride it.

Below are the biggest themes and takeaways shaping how IT leaders should think about the next phase of transformation.

AI Is in the Hype Stage, but Ignoring It Is Not an Option

Gartner positioned AI squarely in the “hype” phase of the adoption curve. That may sound like a warning, but it should not be read as a reason to slow down. Even in this stage, AI is already reshaping how organizations operate, compete, and scale.

The takeaway is not whether to focus on AI. It is how. Leaders need to separate experimentation from strategy, investing in foundational capabilities now so they can capitalize when AI moves from hype to value at scale.

AI-powered digital interface over a laptop, illustrating automation, observability, and cloud-native infrastructure readiness for next-generation IT systems

Agentic AI Is Coming and It Will Reshape Infrastructure

One of the most forward-looking themes at IOCS was agentic AI. Unlike traditional AI models that respond to prompts, agentic AI can take initiative. It can make decisions, trigger actions, and coordinate workflows autonomously.

This shift will act as a catalyst for cloud-native infrastructure. Agentic AI does not thrive in rigid, legacy environments. It requires systems that are flexible, API-driven, event-based, data-rich and designed for automation. And it is coming fast.

Agentic AI Requires the Basics and Tech Debt Gets in the Way

Before organizations can fully take advantage of agentic AI, they need to get the basics right: clean architectures, automated workflows, and standardized processes.

This is where tech debt becomes a serious drag. If something cannot be automated, it is tech debt. And that debt directly limits how fast an organization can move at a time when the business is demanding speed more than ever.

The message from Gartner was clear: Modernizing is not about perfection; it is about removing friction, so innovation can actually happen.

Observability Is Exploding and AI Is the Only Way to Keep Up

There was a massive push around observability at IOCS. Organizations are generating more telemetry data than ever. Logs, metrics, traces, and events are coming from every layer of the stack.

The paradox is that teams will have more information than ever before, but without AI, they will not get more insight. Humans simply cannot keep up.

The future of observability is AI-driven. Systems must continuously comb through data, detect anomalies, and trigger events automatically. Waiting for humans to decipher logs before taking action is no longer viable. The shift is from reactive to proactive: Identify issues early, trigger workflows, and resolve problems before users even notice.

Digital Experience Has Become an IT Priority

One of the most striking insights from Gartner came from its Worker Survey. Employees now believe the CIO has more impact on their day-to-day experience than the head of HR. This represents a significant shift from prior years.

Digital experience is no longer just an HR or workplace issue. Performance, reliability, usability, and responsiveness of systems directly shape how employees feel about their jobs. IT is now central to the employee experience, whether organizations are ready for that responsibility or not.

Cost Pressure Is Driving IT Strategy

CIOs are under more cost pressure than ever. Efficiency is no longer a talking point. It is a mandate.

This means IT leaders must take ownership of cost optimization, from cloud spend to tooling rationalization to operational efficiency. AI and automation are not just innovation levers. They are essential to doing more with less.

Zero Trust Is a Long Game Focused on Protection

Zero Trust continues to gain momentum, but Gartner emphasized realism. Only a small percentage of organizations have truly implemented Zero Trust today; it is a journey that will span multiple years.

The mindset shift is critical. Security focuses on defense. Protection focuses on resilience. Organizations can no longer rely on a perimeter to keep threats out. Zero Trust requires layered protections (defense in depth), continuous verification, and a rethinking of how users and systems interact across cloud and infrastructure environments.

Integration Is No Longer Optional

Another consistent theme from Gartner IOCS 2025 was the risk of silos.

Organizations that do not integrate across tools, platforms, and partners will fall behind. AI, observability, security, and digital experience all depend on systems working together. Closed ecosystems and disconnected tools slow everything down, from insight to action.

Looking Ahead to 2026: Preparing to Ride the Next Wave

As organizations look toward 2026, Gartner IOCS 2025 pointed to a defining reality. The next phase of transformation will be shaped by how effectively IT leaders prepare today. AI, agentic systems, observability, integration, and Zero Trust are not isolated initiatives. They are deeply connected.

The wave is already forming. Those who modernize their foundations, reduce tech debt, embrace automation, and invest in proactive insight will be positioned to ride it. Those who wait risk being overwhelmed by complexity, cost, and missed opportunity.

2026 will not be about whether AI changes the game; it will be about who was ready when it did.

Picture of Jim Lancer
about the author

Jim Lancer

description

Jim Lancer is Head of Product at Pharos, where he leads customer-facing delivery and ensures successful implementation of complex technology solutions. With a career spanning technical consulting, product management, and engineering leadership, he brings deep expertise in cloud solutions, project execution, and cross-functional team leadership. Jim is passionate about helping organizations maximize the value of their technology investments through thoughtful strategy and hands-on execution.

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Why did Gartner say AI is still in the hype stage?

Gartner positioned AI in the hype stage because adoption and expectations are moving faster than proven, repeatable outcomes. However, this does not mean organizations should wait. It means leaders should focus now on building strong foundations so AI can deliver value as it matures.

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What is agentic AI and why does it matter for IT leaders?

Agentic AI refers to systems that can take initiative by making decisions, triggering actions, and coordinating workflows without constant human input. It matters because it will fundamentally change IT operations, pushing organizations toward cloud-native architectures, automation, and event-driven systems.

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How does tech debt limit AI and automation initiatives?

Tech debt slows organizations down by making systems harder to automate, integrate, and scale. If a process cannot be automated, it becomes a bottleneck. A bottleneck limits progress regardless of added capacity, much like upgrading a boat’s engine won’t help if the anchor remains in the water. Reducing tech debt is critical for enabling agentic AI, improving efficiency, and meeting growing business expectations.

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Why is AI essential for observability going forward?

Modern environments generate more telemetry data than humans can realistically analyze. AI is required to continuously analyze logs, metrics, and events, detect anomalies, and trigger actions automatically. Without AI, organizations remain reactive and risk missing early warning signs.

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What should IT leaders prioritize as they prepare for 2026?

IT leaders should focus on modernizing core infrastructure, reducing tech debt, improving integration, and adopting AI-driven observability and automation. At the same time, they must address cost pressures, strengthen protection through layered security approaches, and elevate digital experience as a strategic priority.