Enterprises have invested, experimented, and launched pilots. The result? Most have started – but only a minority has truly scaled.
Our new benchmark study, based on 500 IT decision-makers at german companies with 2,000+ employees, shows precisely where the transformation stands, what's really blocking scale – and what AI Champions do differently.
Four questions that are crucial to market share today:
Zoi delivers the empirical AI benchmark for enterprises worldwide – starting with Germany. We pull back the curtain on the transformation.
of AI Champions are already scaling. 62% AI Mainstream is still searching for the foundation.*
have a documented AI strategy. Only 34% have tied it to KPIs – making it truly actionable.
IT infrastructure complexity, 30% legacy system integration, 34% lack of know-how. Budget and ROI uncertainty? Ranked far lower.
are testing AI agents. In production across core processes: 19%. Productive depth concentrates at companies with more mature governance – no coincidence.*
of companies that measure report a positive return. Excluding failed projects means counting only the survivors. The picture is good, but it's not complete.
*Focus on key finding; see the study for supporting data.
Download the study nowAI Champions didn't excel in just one thing. They moved all eight dimensions simultaneously — and that's precisely what sets them apart.
The correlation between organizational breadth and AI impact is strong (ρ = 0.72) and holds stable across industries. No single lever explains the lead. The complete package does.
The Eight Readiness Dimensions: AI Strategy · Data Governance · Cloud & Platform Maturity · Data Domain Coverage · Standardized Processes · Change Management · Budget Stability · Data-Driven Decision Culture
The Three Effectiveness Metrics: PoC-to-Production Rate · ROI Assessment · Day-to-Day Anchoring
We are Business-Focused Techies. We make sure enterprise AI doesn't just shine in the lab – it frees up teams and delivers productive, measurable value.
With over a decade of cloud-native expertise, we turn technical debt into productive assets.
A benchmark is only as strong as its foundation. For the study "Generative AI in Large Enterprises 2026," 500 IT decision-makers were surveyed representatively in January 2026. The focus was specifically on large German companies with 2,000+ employees, in order to capture the distinct challenges of complex organizations.
The survey was conducted by the public opinion research institute Civey on behalf of Zoi. With a statistical margin of error of ±4.4 percentage points, this study provides a reliable basis for strategic prioritization.
THE SURVEY IN DETAIL:
Academic precision meets industrial reality. Prof. Dr. Jan Kirenz teaches and researches at Stuttgart Media University – a recognized expert in AI transformation, data-driven business management, and MLOps frameworks. As the lead author of this study, he ensures that data doesn't become just slides – but defensible, evidence-based strategies for the enterprise sector.
AI impact is not created by a single magic factor, but by the breadth of organizational maturity.
The data paints a clear picture: 76% of large German companies are already actively testing AI agents, demonstrating broad innovation interest. Yet since only 19% are deploying these technologies in their core processes, widespread value creation is still pending. Because scaling barriers are rarely financial in nature, the decisive lever lies in professionalizing strategy, governance, and operations in lockstep – so AI moves from pilot project to integral part of the core business.
Zoi is a leading AI and cloud enabler at the enterprise level. Present in seven countries, Zoi combines local strength with global innovation pace.
Alongside AWS, Google Cloud, Microsoft, and SAP, Zoi drives transformations in manufacturing, retail, and healthcare: AI-powered, business-focused, and backed by a culture of delivery excellence.With over a decade of cloud experience and 550+ employees worldwide, Zoi develops innovative full-stack solutions in the public cloud.
