Compare adoption on compatible terms. Then examine what measured outcomes can establish.
Slovakia and Czechia, against the same European measure.
Slovakia18.0%
Czechia17.6%
European Unionregional aggregate19.9%Slovakia is 1.9 percentage points below the EU aggregate. This measures use, not how deeply AI is implemented or whether it improved productivity.
Loading chartPercentage of enterprises using at least one AI technology. Selected non-financial business activities (NACE Rev. 2 C–J, L–N and 95.1). Enterprises with at least 10 persons employed. Not intensity of implementation, productivity impact or share of workers using AI.
The EU includes Slovakia and Czechia and is a regional aggregate, not another independent country. The shared observation year is selected automatically. Missing years are gaps; values are not interpolated. Source flags are retained in the survey explorer below.
Method: eurostat-enterprise-ai-size-v1 · Eurostat reuse policy; attribution and stated exceptions apply. Adoption is distinct from cost savings, productivity, job creation and job loss; those outcomes need separate evidence.
AI’s effect on sales per employee · executive assessments, %
United States0.24%2.25%
United Kingdom0.29%1.86%
Germany0.24%0.87%
Australia0.49%0.92%Self-reported past effects and future expectations — neither is a measured causal effect.
Country survey frames differ. These figures are not comparable with Eurostat adoption rates. Applications and executive usage
Two different workflows and study designs. These results are not a common leaderboard or an average business effect.
One company and workflow; not an economy-wide productivity estimate.
Historical 2025 tools and a narrow sample; not a measure of current tool performance.
Share using AI in any business function · four-period moving average
Loading chartLoading chartLoading chartDated firm survey · not comparable with Eurostat
Loading chartPeople using GenAI, not businesses · applications overlap
Firm use in the US and individual use in China have different denominators and periods. These panels provide context; they do not rank countries against Eurostat.
Business adoption across Europe — and the divide between small and large firms
18.0% using AI
Loading chartAll · 10+ persons employed · Eurostat enterprise survey. The remainder is 100 minus the published adoption estimate. These are survey shares, not counts of respondents or measures of implementation depth.
Loading geographic boundaries…
○ Small: 10–49 persons · ● Large: 250+ · percentage of enterprises within each size class. Each point has its own denominator.
Percentage of enterprises using at least one AI technology. Selected non-financial business activities (NACE Rev. 2 C–J, L–N and 95.1). Enterprises with at least 10 persons employed. Not intensity of implementation, productivity impact or share of workers using AI.
Coverage is European survey participants, not a global adoption ranking. Small firms with fewer than 10 persons employed are excluded. Size classes and the total are separate survey populations; percentages must not be added. EU is an aggregate. Non-response, survey design and sector mix can affect comparisons.
Source flags are retained: b = break in time series; e = estimated; p = provisional; u = low reliability. Missing and confidential values are not replaced by zero. No 2022 observation is inferred.
Eurostat · isoc_eb_ai · source update 2026-06-15T11:00:00+0200 · captured 2026-10-23 · Eurostat reuse policy; attribution and stated exceptions apply
eurostat-enterprise-ai-size-v1 · SHA-256 f5f6d136c4ed04923d17a63c4b0b23d6999e7a4774450709ae214c24b7674357
