Enterprise AI adoption across Europe and the Middle East is moving beyond experimentation and into broader deployment, according to new survey data published in the 2026 CIO Playbook commissioned by Lenovo with research conducted by IDC. The findings point to a shift in how organizations view artificial intelligence, with financial return, operational efficiency, and automation now shaping investment decisions more than exploratory use cases.
Based on responses from 800 IT and business decision makers across the region, nearly half of all AI proof-of-concepts have already been moved into production environments. On average, organizations expect returns of roughly $2.78 for every dollar invested in AI, with some CIOs projecting significantly higher gains as more advanced systems are deployed. Around 93 percent of respondents indicated plans to increase AI spending over the next 12 months, with average budget growth of about 10 percent, suggesting confidence that AI investments are beginning to show measurable value.
Despite this momentum, the research highlights a growing gap between ambition and readiness. While 57 percent of organizations report they are approaching or already in late-stage AI adoption, only 27 percent say they have established a comprehensive AI governance framework. Data quality issues, limited in-house expertise, and integration complexity continue to slow progress, raising concerns that many enterprises may struggle to scale AI responsibly or consistently.
Agentic AI has emerged as a new priority for CIOs in 2026, overtaking generative AI in terms of strategic focus. Around 65 percent of organizations say they plan to scale agentic AI within the next year, yet only 16 percent report significant use today. Most are still piloting or evaluating use cases, which suggests that expected gains may take longer to materialize without stronger foundations in governance and infrastructure.
Adoption patterns vary by market. More mature regions such as Scandinavia, Italy, and the UK are moving past pilot programs toward systematic deployment, often emphasizing hybrid and edge architectures. Parts of Southern and Eastern Europe remain earlier in the process, while the Middle East is showing faster momentum, with growing interest in more advanced and autonomous AI systems.
Across the region, hybrid AI has become the preferred deployment model. Nearly three out of five organizations favor a mix of public cloud, private cloud, and on-premises infrastructure, largely to balance innovation with data sovereignty, security, and operational control. Energy efficiency and cost-effective compute were also cited as critical factors in moving AI workloads into production, alongside growing interest in AI-capable PCs and edge devices.
Commenting on the findings, Matt Dobrodziej noted that while early returns from AI pilots are becoming visible, many organizations remain underprepared to scale more autonomous systems. Regulatory pressures, including compliance with frameworks such as the EU AI Act, are adding urgency to the need for governance and trust alongside technical capability.
Overall, the research suggests that enterprise AI in Europe and the Middle East has entered a more pragmatic phase. Organizations are no longer questioning whether AI delivers value, but are instead grappling with how to operationalize it at scale, manage risk, and align investment with long-term business outcomes.
