US Adults Who Have Used ChatGPT (Pew, Feb 2026)
44%
Share of US adults; Feb 2026 survey
+30pp since May 2023
Global Share — Ever Used Any Standalone Gen AI (Reuters Institute, Q1 2025)
61%
Pooled across ~30 countries; Jan–Feb 2025 survey
+21pp from Q1 2024
EU Individuals Using Gen AI Tools (Eurostat, 2025)
32.7%
Adults 16–74 who used gen AI in past year
First year with this Eurostat measure
US Adults Under 30 Who Have Used ChatGPT (Pew, 2026)
61%
Share of US adults ages 18–29; Feb 2026 survey
+3pp since Feb–Mar 2025 (58%)

Data

Consumer AI Adoption — Global, US, and EU (2023–2026) — source data. Pew Research Center; Reuters Institute for the Study of Journalism; Eurostat (isoc_ci_ai_i).
Demographic / Geography % Using Gen AI Source Year Definition
US Adults Under 30 58 Pew 2025 2025 Ever used ChatGPT; Feb–Mar 2025 survey
US Adults Under 30 61 Pew 2026 2026 Ever used ChatGPT; ages 18–29; Feb 2026 survey
US Postgrad Degree 52 Pew 2025 2025 Ever used ChatGPT; Feb–Mar 2025 survey
US All Adults 34 Pew 2025 2025 Ever used ChatGPT; Feb–Mar 2025 survey
US All Adults 44 Pew 2026 2026 Ever used ChatGPT; Feb 2026 survey
US High School or Less 18 Pew 2025 2025 Ever used ChatGPT; Feb–Mar 2025 survey
US Adults 65+ 10 Pew 2025 2025 Ever used ChatGPT; Feb–Mar 2025 survey
US Adults 65+ 19 Pew 2026 2026 Ever used ChatGPT; Feb 2026 survey
Global 18–24 (weekly) 59 Reuters Institute 2025 2025 Used any standalone gen AI at least weekly
EU — Denmark 48.4 Eurostat 2025 2025 Used gen AI tools in past year; ages 16–74
EU — Estonia 46.6 Eurostat 2025 2025 Used gen AI tools in past year; ages 16–74
EU — Malta 46.5 Eurostat 2025 2025 Used gen AI tools in past year; ages 16–74
EU Average 32.7 Eurostat 2025 2025 Used gen AI tools in past year; ages 16–74
EU — Italy 19.9 Eurostat 2025 2025 Used gen AI tools in past year; ages 16–74
EU — Romania 17.8 Eurostat 2025 2025 Used gen AI tools in past year; ages 16–74
Global 55+ (weekly) 20 Reuters Institute 2025 2025 Used any standalone gen AI at least weekly

About this Dataset

By February 2026, 44% of US adults had used ChatGPT — up from 34% a year earlier and more than double the 18% recorded in the summer of 2023, according to Pew Research Center. The 2023–2025 doubling was the sharpest signal in this dataset, moving the technology from early-majority trial to a level where roughly one in three American adults had direct personal experience with it in about 20 months. Growth from 2025 to 2026 continued but at a slower marginal pace — 10 additional percentage points in one year, versus the prior period's doubling. For context, Pew estimates smartphone ownership took roughly three times as long to reach comparable penetration levels.

Before reading further, note a critical methodological point. The three series in this page use different definitions and should not be treated as interchangeable. Pew Research Center asks whether US adults have ever used ChatGPT specifically — a brand-level, lifetime-use question. The Reuters Institute Digital News Report asks whether respondents across roughly 30 countries have ever used any standalone generative AI system, a broader definition. Eurostat asks EU individuals aged 16–74 whether they used generative AI tools in the past 12 months — a recency-bounded question. These distinctions are material: a person who uses only Microsoft Copilot or Google Gemini would be counted by Reuters and Eurostat but not by Pew. A person who tried ChatGPT once two years ago counts in Pew's lifetime-use figure but may not meet Eurostat's past-year threshold. The chart plots these series together to show the overall trajectory of consumer AI diffusion; the levels are not directly comparable.

The Reuters Institute's 2025 report, drawn from surveys conducted in January and February 2025 across approximately 30 countries, recorded a global pooled figure of 61% who had ever used a standalone generative AI system — up from 40% in its January–February 2024 survey. That 21-percentage-point increase in 12 months is the largest single-year jump in the Reuters Institute's tracking of any digital technology category. The sample skews toward higher-income countries with strong internet penetration, which is a limitation of panel-based cross-national surveys, but even with that caveat the directional signal is clear.

Reuters Institute data shows that among adults aged 18–24, 59% were using a standalone generative AI system at least weekly by early 2025 — a rate that suggests trial has largely converted to habitual use in that cohort. Among adults aged 55 and over, the weekly-use rate was 20%, indicating a larger and persistent gap between those who have tried the technology and those who use it regularly.

Eurostat's 2025 reading — the first year its harmonised household ICT survey included a specific question on generative AI tool usage — showed 32.7% of EU individuals aged 16–74 used such tools in the past year. The EU-wide figure masks wide cross-country variation: Denmark leads at 48.4%, followed by Estonia at 46.6% and Malta at 46.5%. Romania records 17.8% and Italy 19.9%, placing them roughly 30 percentage points below the leaders. This dispersion is consistent with broader EU digital economy indicators and reflects differences in infrastructure quality, language-model availability in local languages, and the sectoral composition of each economy.

The demographic gradient within the United States, as documented by Pew, remains pronounced but is narrowing. In the February 2026 survey, adults 18–29 report a 61% usage rate versus 19% among those aged 65 and over — a 42-point gap, down from 48 points a year earlier, as older adults' usage nearly doubled while under-30 usage grew only marginally. Pew's most recent published education breakdown, from the February–March 2025 wave, showed postgraduate degree holders at 52% usage versus 18% for those with a high school diploma or less. These gaps are comparable in magnitude to the early-adoption divides recorded for other major consumer technologies, but they have persisted further into the diffusion curve than those historical precedents might suggest — three years after ChatGPT's public launch, the age gap remains wide even as it closes.

Key facts about this dataset's coverage and scope:

  • US series (Pew): Four confirmed data points — May 2023 (14%), approximately August 2023 (~18%), February–March 2025 (34%), and February 2026 (44%). A Q3 2024 estimate of approximately 24% is included as an interpolated intermediate point, consistent with the Pew report's note that adoption roughly doubled from summer 2023 to early 2025.
  • Global series (Reuters Institute): Two confirmed annual snapshots — Q1 2024 (40%) and Q1 2025 (61%). Pooled across approximately 30 countries using online panels; sample skews toward higher-income, higher-internet-penetration markets.
  • EU series (Eurostat): One confirmed data point — 2025 (32.7%). The generative AI question is new in this survey cycle; no prior-year comparison from Eurostat is available.
  • Definitions differ across all three series — see the Q&A section and the methodology note above for full disclosure.

For strategy and investment teams, the most practical framing of this data is not the absolute adoption level — which is contested by definitional differences — but the rate of change and the demographic structure of who is adopting. The Pew growth from 2023 to 2026 among US adults under 30 (from roughly 33% to 61%, with almost all of that gain arriving by early 2025) suggests the sub-30 cohort is approaching saturation on the brand-level trial question, while the 65-and-over cohort's jump from 10% to 19% in a single year (2025–2026) indicates the slower-adopting cohorts are now catching up rather than plateauing. Whether that catch-up continues or represents a one-year acceleration is not yet resolvable from two annual readings.

Frequently Asked Questions

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.

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.

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.

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.

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.