The headline from ETR's January 2026 AI Product Series is straightforward: enterprise AI budgets are expanding, adoption is broadening, and optimism is holding. But the more interesting story lives beneath the surface — in the tension between momentum and measured returns.

ETR surveyed 600 technology leaders between January 21–28, 2026, drawing from 24% Global 2000 companies and 78% C-Suite or Director-level respondents. The findings offer a clear-eyed look at where enterprise AI actually stands heading into 2026.

The Spending Trajectory Is Real

Eighty-six percent of respondents expect AI budgets to increase over the next year, and many believe AI spending will grow faster than overall technology spend over the next two to three years. That's not hype — that's a budget signal. Seat-based SaaS is rising as a delivery model, up five points since the study began, while consumption-based models are declining by the same margin. Organizations are committing.

But ROI Remains Elusive for Many

Half of respondents say AI value outweighs cost — a meaningful milestone. But returns remain uneven: some organizations haven't realized gains yet, and others aren't measuring ROI at all. Where improvements exist, they tend to be modest, and AI maturity remains early-to-mid stage for most.

The one clear bright spot is developer productivity. Among AI coding tool users, 93% report measurable gains, the strongest signal of tangible return in the data.

What It Means

The data doesn't support either the AI-skeptic or AI-euphoria narrative. What it supports is a market in deliberate motion: spending is real, expectations are calibrated, and the pressure to demonstrate value is building.

To get more highlights from the January 2026 AI Product Series, including product-level data across InfoSec, Design/Marketing, Analytics, and Developer Tools, visit our AI Product Series page and download the latest summary page. Or to get the full report, contact the ETR Sales team.