The AI confidence gap that's costing IT leaders control

Companies pursuing AI face a gap between perception and practice

Sponsored Post Remember the decades that we spent in an AI winter? Now, we're in an AI summer. According to JumpCloud's report, "The Dual Disconnect: Why Your AI Maturity Now Fails To Scale", four in ten IT leaders believe their organizations have reached AI maturity. Nearly all respondents report moving toward some form of AI implementation. The confidence is palpable. But so is the gap between perception and reality.

The good news is that 90 percent of IT leaders report efficiency improvements from AI adoption. Even more confirm AI improved their team's output, while 56 percent describe AI as a major timesaver and stress reducer.

The bad news: inadequate infrastructure is rife. Only 22 percent of organizations have the foundational IT infrastructure required to scale AI safely.

The dual disconnect

Among organizations that consider themselves AI mature, 69 percent are still in what the report calls an 'advancing' tier, inching toward that goal. That over-confidence often leads to ineffective investment and governance gaps. But the misalignment cuts both ways: two thirds of developing organizations are further along than they realize. They risk misaligning their priorities.

True AI readiness isn't just about tools adoption. It encompasses the entire IT base, including identity and access management (IAM), unified governance, and security controls that can handle both human users and AI agents.

Core infrastructure and unified governance must support the AI layer, not just sit alongside it. That's why truly mature organizations (those in the 'leading' tier in the report) are 40 percent more likely to prioritize unification as essential to their AI strategy.

The shadow AI and security problem

There's another risk for companies pursuing AI: unauthorized tools. Sixty-one percent admit unsanctioned AI tools are spreading across their organizations. This widens already significant visibility and governance gaps. A full 60 percent feel AI is outpacing their ability to protect against emerging threats.

And despite the productivity wins, three in four companies remain concerned about security risks. Unauthorized data access and AI-generated phishing attacks top the list of concerns.

Yet while 85 percent recognize IAM as critical for AI readiness and scaling, only 22 percent have implemented non-human identity governance for AI agents. That's a problem when AI agents need the same level of access control as human users.

Unified infrastructure is the foundation

Tools adoption won't stop the rot. Most organizations are already drowning in tools, with 86 percent relying on 4-10 different tools for core functions. This fragmented tooling creates administrative overhead, inconsistent policy enforcement, and bloated licensing costs.

Instead, the answer is unification, which enables consolidated control across both human and AI agents. Forty-six percent say this is critical to implementing AI securely and effectively, and leading-tier organizations are 40 percent more likely to view it as essential.

Centralized IAM represents the most effective defense against shadow AI and unauthorized access. Organizations are starting to recognize this as they plan to govern non-human identities like AI bots.

As organizations continue to embrace IT, it's time to invest in unified infrastructure before the gap between perception and practice becomes a full-blown crisis.

Sponsored by JumpCloud.