{"version":1,"asset_type":"statistical_series","data_type":"time_series","slug":"ai-consumer-adoption","url":"https://apiardata.com/statistics/ai-consumer-adoption","html_url":"https://apiardata.com/statistics/ai-consumer-adoption/","title":"Consumer AI Adoption — Global, US, and EU (2023–2026)","description":"Tracks the share of adults using generative AI tools across three geographies: globally (Reuters Institute 30-country survey), the United States (Pew Research Center tracking surveys), and the European Union (Eurostat isoc_ci_ai_i). Covers 2023 to 2026, capturing the rapid diffusion phase from early adopters to mainstream use.","domain":"papers","category":"AI & Research","keywords":["AI & Research","AI Adoption","Consumer Technology","Digital Economy","Survey Data"],"publisher":"Pew Research Center; Reuters Institute for the Study of Journalism; Eurostat (isoc_ci_ai_i)","frequency":"Annual","geography":"United States; European Union; Global (30+ countries)","temporal_coverage":"2023/..","last_updated":"2026-07-25","last_updated_text":"25 July 2026","data_as_of":"February 2026","variable_measured":"Share of adults who have used generative AI tools; breakdowns by age, education, and EU member state","measurement_technique":"Online probability-based surveys (Pew Research Center); online panel surveys across 30+ countries (Reuters Institute Digital News Report); harmonised household ICT surveys mandated across EU member states (Eurostat isoc_ci_ai_i). Survey definitions differ: Pew asks ever-used ChatGPT; Reuters asks ever-used any standalone gen AI system; Eurostat asks used gen AI tools in past 12 months.","license":"https://apiardata.com/data-license","is_accessible_for_free":true,"sources":[{"name":"Pew Research Center — Americans and AI 2026: Chatbots, Smart Devices and Views on Impact (June 2026)","url":"https://www.pewresearch.org/internet/2026/06/17/americans-and-ai-2026-chatbots-smart-devices-and-views-on-impact/"},{"name":"Pew Research Center — 34% of U.S. adults have used ChatGPT, about double the share in 2023","url":"https://www.pewresearch.org/short-reads/2025/06/25/34-of-us-adults-have-used-chatgpt-about-double-the-share-in-2023/"},{"name":"Pew Research Center — A majority of Americans have heard of ChatGPT, but few have tried it (May 2023)","url":"https://www.pewresearch.org/short-reads/2023/05/24/a-majority-of-americans-have-heard-of-chatgpt-but-few-have-tried-it-themselves/"},{"name":"Reuters Institute — Generative AI and News Report 2025","url":"https://reutersinstitute.politics.ox.ac.uk/generative-ai-and-news-report-2025-how-people-think-about-ais-role-journalism-and-society"},{"name":"Reuters Institute — Digital News Report 2024","url":"https://reutersinstitute.politics.ox.ac.uk/digital-news-report/2024"},{"name":"Eurostat — 32.7% of EU people used generative AI tools in 2025","url":"https://ec.europa.eu/eurostat/web/products-eurostat-news/w/ddn-20251216-3"},{"name":"Eurostat — isoc_ci_ai_i dataset browser","url":"https://ec.europa.eu/eurostat/databrowser/view/isoc_eb_ai/default/table?lang=en"}],"meta":[{"label":"Frequency","value":"Annual"},{"label":"Coverage","value":"2023–2026"},{"label":"Observations","value":"13"},{"label":"Geography","value":"United States; European Union; Global (30+ countries)"},{"label":"Last updated","value":"25 July 2026"}],"kpis":[{"label":"US Adults Who Have Used ChatGPT (Pew, Feb 2026)","value":"44%","unit":"Share of US adults; Feb 2026 survey","trend":{"direction":"up","value":"+30pp since May 2023"}},{"label":"Global Share — Ever Used Any Standalone Gen AI (Reuters Institute, Q1 2025)","value":"61%","unit":"Pooled across ~30 countries; Jan–Feb 2025 survey","trend":{"direction":"up","value":"+21pp from Q1 2024"}},{"label":"EU Individuals Using Gen AI Tools (Eurostat, 2025)","value":"32.7%","unit":"Adults 16–74 who used gen AI in past year","trend":{"direction":"up","value":"First year with this Eurostat measure"}},{"label":"US Adults Under 30 Who Have Used ChatGPT (Pew, 2026)","value":"61%","unit":"Share of US adults ages 18–29; Feb 2026 survey","trend":{"direction":"up","value":"+3pp since Feb–Mar 2025 (58%)"}}],"series":[{"key":"global","label":"Global (Reuters Institute)"},{"key":"us","label":"US (Pew Research)"},{"key":"eu","label":"EU (Eurostat)"}],"observation_count":6,"observations":[{"period":"May 2023","global":null,"us":14,"eu":null},{"period":"Aug 2023","global":null,"us":18,"eu":null},{"period":"Q1 2024","global":40,"us":null,"eu":null},{"period":"Q3 2024","global":null,"us":24,"eu":null},{"period":"Q1 2025","global":61,"us":34,"eu":32.7},{"period":"Feb 2026","global":null,"us":44,"eu":null}],"table":{"columns":[{"key":"group","label":"Demographic / Geography"},{"key":"usePct","label":"% Using Gen AI"},{"key":"source","label":"Source"},{"key":"year","label":"Year"},{"key":"notes","label":"Definition"}],"rows":[{"group":"US Adults Under 30","usePct":"58","source":"Pew 2025","year":"2025","notes":"Ever used ChatGPT; Feb–Mar 2025 survey"},{"group":"US Adults Under 30","usePct":"61","source":"Pew 2026","year":"2026","notes":"Ever used ChatGPT; ages 18–29; Feb 2026 survey"},{"group":"US Postgrad Degree","usePct":"52","source":"Pew 2025","year":"2025","notes":"Ever used ChatGPT; Feb–Mar 2025 survey"},{"group":"US All Adults","usePct":"34","source":"Pew 2025","year":"2025","notes":"Ever used ChatGPT; Feb–Mar 2025 survey"},{"group":"US All Adults","usePct":"44","source":"Pew 2026","year":"2026","notes":"Ever used ChatGPT; Feb 2026 survey"},{"group":"US High School or Less","usePct":"18","source":"Pew 2025","year":"2025","notes":"Ever used ChatGPT; Feb–Mar 2025 survey"},{"group":"US Adults 65+","usePct":"10","source":"Pew 2025","year":"2025","notes":"Ever used ChatGPT; Feb–Mar 2025 survey"},{"group":"US Adults 65+","usePct":"19","source":"Pew 2026","year":"2026","notes":"Ever used ChatGPT; Feb 2026 survey"},{"group":"Global 18–24 (weekly)","usePct":"59","source":"Reuters Institute 2025","year":"2025","notes":"Used any standalone gen AI at least weekly"},{"group":"EU — Denmark","usePct":"48.4","source":"Eurostat 2025","year":"2025","notes":"Used gen AI tools in past year; ages 16–74"},{"group":"EU — Estonia","usePct":"46.6","source":"Eurostat 2025","year":"2025","notes":"Used gen AI tools in past year; ages 16–74"},{"group":"EU — Malta","usePct":"46.5","source":"Eurostat 2025","year":"2025","notes":"Used gen AI tools in past year; ages 16–74"},{"group":"EU Average","usePct":"32.7","source":"Eurostat 2025","year":"2025","notes":"Used gen AI tools in past year; ages 16–74"},{"group":"EU — Italy","usePct":"19.9","source":"Eurostat 2025","year":"2025","notes":"Used gen AI tools in past year; ages 16–74"},{"group":"EU — Romania","usePct":"17.8","source":"Eurostat 2025","year":"2025","notes":"Used gen AI tools in past year; ages 16–74"},{"group":"Global 55+ (weekly)","usePct":"20","source":"Reuters Institute 2025","year":"2025","notes":"Used any standalone gen AI at least weekly"}]},"qa":[{"question":"Why do the three series use different definitions, and does that make them comparable?","answer":"The three series measure related but distinct phenomena and should not be treated as interchangeable. Pew Research Center asks US adults whether they have ever used ChatGPT specifically — a brand-level, lifetime-use question that excludes other AI tools such as Google Gemini, Microsoft Copilot, or Claude. The Reuters Institute Digital News Report asks respondents across roughly 30 countries whether they have ever used any standalone generative AI system, a broader definition that captures the full market. Eurostat's isoc_ci_ai_i asks EU individuals aged 16–74 whether they used generative AI tools in the past 12 months — a recency-bounded question that differs from both the Pew and Reuters lifetime-use framing. The practical consequence is that these series are not directly additive or directly comparable in level terms. The Eurostat 12-month figure of 32.7% is likely lower than a lifetime-use equivalent would be; the Reuters global figure of 61% using any standalone tool is higher than Pew's 44% partly because it uses a broader product definition and partly because it is a pooled global average rather than a US-only figure. Analysts using these data to benchmark adoption should cite each series' specific definition explicitly rather than treating generative AI adoption as a single, universally measured concept."},{"question":"What does the demographic breakdown reveal about adoption patterns in the United States?","answer":"Pew Research Center's February 2026 survey ('Americans and AI 2026') shows the age gradient in US ChatGPT adoption narrowing somewhat, but still large: adults 18–29 report a 61% usage rate versus 19% among those aged 65 and over — a 42 percentage-point gap, down from the 48-point gap Pew recorded in its February–March 2025 wave (58% vs. 10%). The narrowing is driven mostly by faster growth among older adults rather than saturation among the young: the under-30 rate rose only 3 points year over year (58% to 61%), while the 65-and-over rate nearly doubled (10% to 19%). Pew's most recent published education breakdown, from the February–March 2025 wave, showed 52% of postgraduate degree holders had used ChatGPT against 18% of those with a high school diploma or less; Pew has not re-published that specific cut in the 2026 report. Adoption overall roughly doubled between summer 2023 (18%) and early 2025 (34%), then rose a further 10 points to 44% by February 2026 — a pace that, measured year-over-year, is slower than the 2023–2025 doubling but still substantial. The persistence of a double-digit age gap three years after ChatGPT's public launch suggests the diffusion curve for older cohorts is not simply lagged: it may reflect structural differences in use-case relevance, workplace exposure, and digital comfort that narrow slowly rather than catch up quickly."},{"question":"How variable is EU generative AI adoption across member states?","answer":"Eurostat's 2025 data reveals a wide dispersion across EU member states that is not fully captured by the 32.7% EU average. Denmark leads at 48.4%, followed by Estonia at 46.6% and Malta at 46.5%. At the other end, Romania records 17.8% and Italy 19.9%, placing them roughly 30 percentage points below the leaders. This dispersion is likely driven by a combination of factors: digital infrastructure quality, the availability of AI tools in local languages, educational attainment levels, and the sectoral composition of each country's workforce (economies with larger shares of knowledge-intensive service employment tend to score higher). The EU-27 average of 32.7% falls below the Reuters Institute global average of 61%, but methodological differences — Eurostat's 12-month recency window versus the Reuters lifetime-use question — account for a meaningful portion of that gap. Policymakers and strategy teams benchmarking EU digital competitiveness should note that aggregate EU figures mask bifurcated adoption patterns that may affect the distributional benefits of AI-driven productivity growth."},{"question":"What is the difference between 'ever used' and 'weekly use', and why does the distinction matter for adoption analysis?","answer":"Survey questions about technology adoption typically distinguish between at least three states: awareness, trial, and regular use. 'Ever used' (the framing used by Pew and the Reuters Institute for their headline figures) measures cumulative trial — the share of adults who have attempted the technology at least once. 'Weekly use' is a more demanding threshold that indicates sustained, habitual incorporation into daily behaviour. The Reuters Institute's Generative AI and News Report 2025 reports both: 61% of respondents across ~30 countries had ever used a standalone generative AI system, while the weekly-use rate among adults aged 18–24 was 59% — suggesting that among younger adults, trial has largely converted to habitual use. Among adults aged 55 and over, the Reuters data shows a weekly-use rate of approximately 20%, well below their overall trial rate, indicating a larger gap between those who have tried the technology and those who use it regularly. For investment analysts and strategy teams, 'ever used' figures are the more relevant early-diffusion metric; they indicate market penetration and brand reach. Weekly-use figures better proxy for the engaged user base that generates recurring value for AI platforms and shapes the unit economics of consumer AI products. As the technology matures and the trial cohort saturates, weekly-use rates are likely to become the primary benchmark of meaningful adoption."},{"question":"What are the key data limitations of these three sources, and what is not measured?","answer":"Each of the three primary sources carries specific limitations that users of this dataset should weigh carefully. Pew Research Center's surveys are US-only and ask specifically about ChatGPT by name, which may cause respondents who use other AI tools — Gemini, Copilot, Claude, Perplexity — but not ChatGPT to be classified as non-users. Pew's survey samples are large and probability-based, providing high methodological credibility within their defined scope, but the brand-specific question means the figures understate total US generative AI engagement. The Reuters Institute Digital News Report surveys are conducted annually across roughly 30 mostly higher-income countries and use online panels, which tend to oversample internet-connected adults and underrepresent populations with lower digital access. The Reuters Institute's global average thus likely overstates adoption in lower-income markets that are not included in the sample. Eurostat's isoc_ci_ai_i series has the advantage of mandatory statistical reporting standards across EU member states and a consistent questionnaire methodology, but the specific generative AI question was introduced only in 2025, making year-on-year trend analysis currently impossible from this source. The Eurostat definition — used generative AI tools in the past 12 months — is also narrower than lifetime-use questions, which means the 32.7% figure should not be read as a ceiling. Finally, none of the three sources captures enterprise or workplace AI use separately from personal use; workers who use AI tools exclusively through employer platforms may be classified differently depending on how each survey frames its questions."}]}