2026 IT Enterprise AI Report: Scaling AI Infrastructure

900 IT leaders told us what they actually think about AI

The pilot phase is over. AI is now an operating responsibility — and it's landing squarely on IT. This report cuts through the hype and shares exactly where IT leaders stand: what's working, what's blocking progress, and what it takes to make AI a trusted, enterprise-wide capability.

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93%

say AI investment is no longer optional.

88%

say AI should be considered part of the workforce.

62%

are involved in AI decisions — but only 12% formally own them.

IT is being handed the keys to AI transformation without the authority, or the budget, to match.

Fragmented systems. Siloed data. Black-box models. Governance gaps. These aren't new problems. But AI has made them impossible to ignore, and impossible to solve slowly.

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Inside the report

4 critical steps to scale enterprise AI infrastructure

Why IT Is on the Hook

AI is no longer optional, 93% of IT leaders agree. But being "involved" isn't the same as leading. We break down the ownership gap holding organizations back.

The Foundation Problem

90% of IT leaders say AI agents are only as powerful as the systems they can access. Here's what fragmentation actually costs, and how to fix it before you scale.

Governing AI at Speed

Transparency isn't a nice-to-have. 82% of IT leaders say they won't deploy black-box AI for critical tasks. We cover what auditable, trustworthy AI actually requires.

Beyond Deflection

Ticket deflection is a vanity metric. Over 60% of IT leaders are already calling for AI performance tied to real, auditable resolutions. Here's what that infrastructure looks like.

Only 12% of IT leaders formally own AI service strategy. Yet 62% are responsible for making it work.

That gap has a cost. This report shows you how to close it.
Your peers have already weighed in. Now see where you stand.

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