Europe emphasises AI governance as North America moves faster towards autonomy, Digitate research shows

A three-year dataset on enterprise AI adoption suggests European organisations are prioritising oversight frameworks, while North American firms advance more quickly into autonomous IT

European enterprises are tightening governance around artificial intelligence deployments, while North American organisations progress more rapidly towards semi-autonomous systems, new research suggests. 

The findings form part of Digitate’s longitudinal study examining enterprise AI adoption across Europe, the US and Canada.

The research draws on responses from 600 IT decision-makers across North America and expands on Digitate’s previous regional reports from 2023 and 2024. It offers a comparative three-year view of maturity levels, adoption patterns and financial returns from enterprise AI initiatives.

According to Digitate, AI uptake has risen from 90% last year to full adoption among surveyed organisations. Business impact is described as “tangible”, with respondents reporting clearer use cases and greater trust in automated decision-making.

The report indicates that median ROI is similar across both regions, at “approximately $170M in Europe and $175M in North America”. However, approaches diverge. European firms are said to be prioritising stewardship, oversight frameworks and ethics, while North American enterprises are scaling agentic systems more quickly, with the aim of achieving full or semi-autonomy.

The researchers note that North America has shifted from process automation towards agent-based operation since 2023. Just under half of surveyed firms now report semi- or fully autonomous systems in place, with projections rising to 74% by 2030 as organisations embed decision-making into core workflows.

Digitate also frames agentic AI as a shift from tactical automation to systems capable of autonomous optimisation and cross-functional collaboration. These models are presented as an emerging mechanism for reducing operational cost and accelerating time-to-action in large IT environments.

In a statement accompanying the findings, Avi Bhagtani, Chief Marketing Officer at Digitate, said: “In just three years, AI has moved from an operational utility to a strategic capability, and one that’s trusted, governed, and profitable. Agentic AI is the bridge between human ingenuity and autonomous intelligence that marks the dawn of IT as a profit-driving, strategic capability.”

He added: “Enterprises have moved from experimenting with automation to scaling AI for measurable impact. The next frontier, Agentic AI, is set to deliver deeper intelligence, adaptability, and financial value – the engine of enterprise profitability and innovation. As organisations balance autonomy with accountability, those that embed trust, transparency, and human engagement into their AI strategy will shape the future of digital business.”

The study was conducted by Sapio Research in September–October 2025 and surveyed organisations with more than 1,000 employees that had implemented AI in the past two years.

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