Generative AI Adoption

Goldman Sachs: most forecasters assume slow AI adoption pace through 2030 despite optimism

responses to a recent survey suggest that most forecasters are quite optimistic about AI's potential but are assuming only a slow pace of AI adoption through 2030

Hundreds of millions use AI for writing assistance

Hundreds of millions of people use artificial intelligence (AI) for writing assistance.

Anthropic (n=80,508): mean productivity rating 5.1/7; 48% cite scope, 40% speed

The mean productivity rating was 5.1, corresponding to 'substantially more productive'... the most common productivity enhancement is in scope, which was cited by 48% of users who explicitly mentioned productivity effects. 40% of users who mentioned productivity emphasized speed.

Metaculus: 52.5% workers using AI daily by 2030; 70.9% by 2035 (community forecast)

Metaculus community forecasts for 2030 and 2035: overall US employment -1.9%/-3.4%; most vulnerable AI-exposed occupations -11.4%/-17.2%; software developers -15.1%/-22.3%; financial specialists -8.1%/-15.3%; services sales -11%/-14%; lawyers -5.4%/-9.6%; designers -4%/-8.4%; K-12 teachers -1.3%/+1.3%; overall median wage -0.6%/+1.4%; percent workers using AI daily 52.5%/70.9%; new-grad unemployment ~10%/12%.

OpenAI: ChatGPT used ~3x more in jobs most at risk of automation

We find that ChatGPT is used about 3x more in the kinds of jobs our framework identifies as most at risk of automation. This is true even when AI can perform similar tasks in less affected jobs. That gap between capabilities and usage makes the limitation of exposure-only measures clear: capability alone doesn't tell us where change in the labor market is actually happening.

NY Fed SCE: 37% of workplaces don't offer AI tools; 11% actively prohibit

Among currently employed respondents, 39 percent report that they are either using AI tools in their current job or have used AI tools in their jobs in the last twelve months. College graduates are more than twice as likely to have used AI tools at work in the past twelve months as those without a college degree (58.7 percent versus 22.9 percent). AI adoption rises from 15.9 percent among workers earning under $50,000 to 66.3 percent among those earning over $200,000 annually. Around 38 percent of employed respondents said that having training in how to use AI tools is important to them, yet only 15.9 percent report that their employer currently offers any AI training.

Stanford HAI: GenAI 53% global population adoption in 3yrs; US 28.3%

Generative AI reached 53% population adoption within three years, faster than the personal computer or the internet, though the pace varies by country and correlates strongly with GDP per capita. Some show higher-than-expected adoption, such as Singapore (61%) and the United Arab Emirates (54%), while the U.S. ranks 24th at 28.3%.

Gallup: Only 30% of workers say manager supports AI use; 27% in AI-adopting orgs report disruptive changes

28% of employed U.S. adults use AI a few times a week or more; 13% use daily (up from 10% in 2024). 41% of employees report their organization has integrated AI tools. 23% in AI-adopting orgs report workforce reductions vs. 16% in non-adopting. Survey of 23,717 employed adults, margin of error +/-0.9pp.

Fed: RPS ~41% of US workforce uses GenAI at work (Nov 2025), +9.7pp YoY

The right panel of figure 2 shows that work-related GenAI adoption reported in the RPS stands at about 41 percent of the workforce, and non-work-related usage at about 50 percent of the population as of the latest survey in November 2025. These metrics grew by about 31 percent (9.7 percentage points) and 26 percent (10.4 percentage points), respectively, for the year ending in November.

NBER: 3.35% work hours AI-assisted (2024); economists forecast 10.1% by 2030

Work Hours Assisted by Generative AI. In 2030, they estimate the percentage of assisted work hours will be 10.1% for the unconditional scenario, 8.0% for the slow, 12.9% for the moderate, and 24.2% for the rapid, compared to a 2024 estimate of 3.35%. By 2050, they expect this to surge to 40.0% (unconditional), 25.0% (slow), 44.7% (moderate), and 62.0% (rapid).

FRI: Economists forecast 10.1% of work hours GenAI-assisted by 2030 (n=69, unconditional)

69 economists' median unconditional forecast: 10.1% of work hours GenAI-assisted by 2030. Rapid scenario (14% prob): 62% of work hours by 2050.

MIT/CCI: AI apps grew 6x (2022-2024) but activity coverage only 1.2x; adoption deep not broad

Number of AI applications grew 6x from 2022-2024 (TAAFT dataset), but the set of work activities they cover expanded only 1.2x. Adoption is intensifying within a narrow band of activities rather than broadening.

Anthropic: High-tenure users 10% higher success rate with Claude

people in this higher-tenure group have a 10% higher success rate in their conversations, an association that is not explained by their task selection, country of origin, or other factors.

PMs and marketers should default to an AI interface. These functions should be doing 80-100% of their work through a chat interface.

@apoorv03: AI apps cross 1B WAU; ChatGPT at 900M (Sensortower)

Today, AI apps have crossed 1 billion weekly active users and ChatGPT alone accounts for 900M of that.

NBER/Bick et al.: AI saves US workers 2.3% of work hours aggregate

in 2026 we find that 43% of US workers use AI for their job compared with 32% among European workers in our surveys.

KPMG: 55% of employees adopting/integrating AI agents

55% are seeing slight or significant adoption (employees beginning to accept and integrate agents in their work).

MIT/USC: 18% of federal court complaints contain AI-text by 2026 (n=1,600)

Applying the Pangram AI-text detector to a random sample of 1,600 federal civil complaints (200/year, 2019-2026): the share of complaints classified as AI-generated rose monotonically from 1.0% in 2023 to 3.5% in 2024, 10.5% in 2025, and 18.0% in early 2026, against a pre-AI false-positive rate of 0.1% (1 of 800).

36.8% of individuals across OECD used generative AI in 2025. 20.2% of firms used AI in 2025 (up from 8.7% in 2023). 41.1% of employed individuals used generative AI. 52.0% of large firms vs 17.4% small.

Only about 43% of US workers reported regularly using AI at work last year

AI skills significantly increase interview invitation probabilities by approximately 8 to 15 percentage points, compared with candidates without such skills

Deloitte: ~60% of workers at AI-using firms now have sanctioned AI access

Workforce access to AI has expanded by 50% in just one year—growing from under 40% to under 60% of workers now equipped with sanctioned AI tools.

85% of employees report saving one to seven hours per week using AI. Employees who use AI every day are overwhelmingly optimistic – more than 90% believe it will help them succeed.

Oxford/Stephany: Gender gap in AI adoption; women adopt less; 5.3pp gap (UK)

Gender gap in AI adoption: women adopt less; 5.3 percentage point gap in UK data.

OECD: 50% of SMEs say employees lack skills for genAI

50% of SMEs report that their employees lack the skills to use generative AI.

Galdin & Silbert: 14% of Freelancer.com apps used platform AI writing tool

14.03% of post-LLM applications on Freelancer.com utilized the platform's AI writing tool, indicating rapid adoption of generative AI in job application workflows.

Quarterly dashboard tracking generative AI adoption among U.S. working-age adults. Feb & May 2025 values estimated from tracker chart; all other values from published working paper.

St. Louis Fed: 23% weekly GenAI use at work; work hours with GenAI up to 5.7%

23% of employed workers used generative AI at work weekly as of late 2024. Share of work hours with GenAI increased from 4.1% (Nov 2024) to 5.7% (Aug 2025). GenAI may have increased aggregate labor productivity by up to 1.3%.

Nationally representative survey of 25,000+ working-age adults finds generative AI adoption reached 55.9% overall and 40.7% at work by November 2025, outpacing PC and internet adoption at comparable points post-launch.

AI-assisted coding jumped from around 5% in 2022 to nearly 30% in Q4 2024.

UK GDS: GitHub Copilot saves 26 min/day across 20K civil servants

GitHub Copilot saves 26 minutes per day across 20,000 UK civil servants.

We describe our research with 21 developers at the cutting edge of using AI

Microsoft WTI: 75% of knowledge workers use AI; 78% bring own AI tools (n=31K)

75% of knowledge workers use AI at work. 78% bring their own AI tools. Survey of 31,000 workers across 31 countries.

YouGov: 56% of Americans use AI tools; 28% weekly; skepticism up 8pp YoY

56% of Americans use AI tools; 28% weekly. Skepticism about AI's effects increased 8 percentage points year over year.

almost two-thirds (59%) say their department is currently using AI while one-third (31%) of respondents are experimenting with its use

Brookings: ~20% use AI professionally; 57% personal use; varies by education/income

About 20% use AI professionally; 57% personal use. Adoption varies significantly by education and income.

NHH/Carvajal: Male students 25% more likely to be high AI users (n=595)

Among 595 business school students in Norway, male students were 25 percent more likely to be high AI users, and the gap was widest among the highest-performing women.

BIS/NY Fed SCE: ~50% of US households use genAI; 14% weekly (n=893)

Almost half of US households use generative artificial intelligence tools. Average expected probability of higher productivity: 30%; of job loss: 13%.