Italy AI Adoption Statistics 2026: Enterprise Growth and Public Use
How widely is AI used in Italy?
Italy AI adoption statistics for 2026 show two sides of the rollout. About 20% of people aged 16–74 in Italy used generative AI in the previous three months in Eurostat’s 2025 survey. 16.4% of covered enterprises with ten or more employees reported using AI. The individual figure is an approximate reading from the published household chart. The enterprise measure counts a broader group of AI technologies.
The 2026 label identifies this edition of the guide. The benchmark observations are from 2025, and the survey year is shown next to each set of figures. In a report or presentation, keep that year with the number. A dated figure with its population is much more useful to a reader who needs to find the underlying release or decide whether the estimate fits a business question.
Italy’s growth and adoption level tell different stories
Istat put enterprise adoption at 5.0% in 2023, 8.2% in 2024 and 16.4% in 2025. That is an 8.2-point rise in a year and roughly twice the 2024 share. Italy was still below the 2025 EU-wide enterprise figure of 20%. Report both facts together to capture the pace and the starting level. The household survey’s estimate of about one in five people refers to a different question and population.
The doubling from 8.2% to 16.4% is a relative comparison. The measured absolute movement was 8.2 percentage points. A reader projecting demand for training should distinguish the two. The absolute change better describes the added share of surveyed employers. The relative change describes the pace compared with a low starting base.
How people in Italy use generative AI
In the Eurostat household survey, approximately 13% of people used generative AI for private purposes, 7% used it for professional purposes and 6% used it for education. Against the overall estimate of about 20%, the three purpose rates describe what people said they used the tools for. The same person could report several purposes. Someone who drafted a work email and studied a language could contribute to both the professional and education figures.
Private use was approximately 6 percentage points higher than professional use. The gap gives an idea of how use differs across settings. The figures cannot identify which private users also used a tool at work. For a briefing on workplace readiness, the next question is which employees have used similar tools on relevant work tasks and what checks they applied to the results. One short local survey can gather that extra detail.
What the enterprise survey shows for Italy
Among covered businesses, 14.2% of small firms with 10–49 employees used AI. The figure for medium firms with 50–249 employees was 27.6%, and it reached 53.1% at firms with 250 or more employees. Across all covered firms with at least ten employees it was 16.4%, 3.6 percentage points below the EU-wide figure of 20%. If you are selecting a benchmark for a business, compare it with the same size group first.
The spread from small to large firms was 38.9 percentage points. Remember that a business counts once if it reports at least one qualifying AI technology. A large company can count through one department, even while other staff have no access. The size breakdown therefore answers a question about the presence of technology in surveyed businesses. A question about the reach of a tool inside an employer needs employee data or usage logs of its own.
Inside the Italian business figures
Istat reports that adoption among large firms increased from 32.5% to 53.1% between 2024 and 2025. The information technology and other information services group reached 53%, and telecommunications reached 37.3%. An Italian microbusiness should use sector and workload evidence in any decision about software. Firms with fewer than ten staff are outside the main survey base. A large firm may also operate specialist in-house systems that tell us little about what a shop could deploy within its budget.
The high share reporting no perceived need is particularly relevant when choosing a pilot in Italy. Start with a problem staff already encounter, such as turning an approved product specification into a customer response. Record which drafts staff can use with minor edits, and the rate of factual errors in the underlying terminology. A proof of value on a familiar task is easier to interpret than a generic demonstration.
Italy’s year-on-year growth can prompt a question about where new use is taking hold. A retailer comparing peer companies can ask which department was first to adopt a tool and whether that tool is still in use after an initial trial. The answer will give a different picture from a snapshot of technology presence. If an internal project is aimed at producing product descriptions, compare the time spent correcting specifications and the number of revisions needed before publication. A shorter drafting stage makes little difference if factual review absorbs the saved time. Include those review costs when estimating the benefit of moving beyond the pilot.
Use the Istat series as the source for the historical growth claim. The headline enterprise rate in the latest report can then be compared with the other 2025 Eurostat figures for context.
Why some people reported no use
Around 43% of all people aged 16–74 in Italy said they had no need for generative AI. Roughly 14% said they did not know how to use it, 3% had not heard of it and 4% cited privacy or safety concerns. These percentages use the survey’s full in-scope population as the denominator. For example, the 4% privacy figure describes all people in the surveyed age group. It cannot be quoted directly as a percentage of non-users.
Different answers can suggest different questions for an educator or employer. Ask people who see no use for the tool which tasks consume time today. People still learning the basics may benefit from a walk-through using non-sensitive sample data. A concern about privacy needs a clear explanation of the organisation’s approved tools and data-handling practices. Use the national evidence to decide what to ask and local feedback to choose what to teach.
How to compare these figures with another country
Italy and Spain can be compared using Eurostat’s household data. Their overall figures were approximately 20% and 38%, respectively. Use the same age band, reference period and question in any chart. The national difference is visible in the rounded figures. For exact comparisons and estimates of uncertainty, go back to the underlying series and its notes. If a report mixes a recent-use survey with a lifetime-use survey, label those estimates separately.
What these surveys can tell you
The household measure is based on reported activity in the previous three months. It does not specify the most used provider, the number of prompts per person or whether a subscriber paid for a tool. A journalist can use it to describe how widely generative tools have reached the population. An organisation estimating subscriptions or daily traffic would need a source with a product question and the appropriate frequency window.
The enterprise series covers selected industries and starts with employers that have ten staff. That coverage matters if you are interested in sole traders, public bodies or organisations in sectors with different reporting requirements. The question covers artificial intelligence more broadly than the household survey, so it may count technology already integrated into a business system. A procurement discussion should go further and identify the actual task, product and people involved.
Frequently asked questions
What share of people in Italy use generative AI?
Around 20% of people aged 16–74 said they had used it within the previous three months in the 2025 survey. That window measures recent use. It includes people who tried a tool once during that time as well as regular users. To describe weekly use, look for a release with a separate frequency question.
How many companies in Italy use AI?
Eurostat reported 16.4% among covered enterprises with at least ten employees in 2025. Small, medium and large businesses returned different rates of 14.2%, 27.6% and 53.1% respectively. Use the matching size band if the goal is to see how a business compares with peers.
Can I use these figures as ChatGPT market share?
The household data describe generative tools across providers and the enterprise source uses its own broader AI measure. To estimate ChatGPT market share, look for provider-specific results with a defined market and denominator. For example, market share among monthly chatbot users and share of all adults who use a particular brand describe different groups.
Why use 2025 numbers in a 2026 guide?
The guide uses 2025 survey data with clear dating to make the comparison reproducible in this 2026 edition. Survey collection, quality checks and publication take time. When a comparable release is available, update the observation year with the numbers and check the notes for any changes to what the survey covers.
