Source quality
Data come from official statistics, multilateral institutions, major research organizations, nationally representative surveys and transparent industry datasets.
20%women’s share of Head of AI hires · United States, 2025
26%women’s share of Director of AI hires · United States, 2025
18%women’s share of Member of Technical Staff hires · United States, 2025
Only 1 in 4 new hires are women. In US AI roles in 2025, women accounted for 26% of hires, compared with 50% of non-AI hires.
Women hold just 20% of Head of AI roles, 26% of Director of AI roles, and 18% of Member of Technical Staff roles. In LinkedIn’s report, these role-level figures measure the share of new US hires in 2025, not the full workforce currently holding each title.
Women hold only 13% of C-suite AI leadership roles at AI companies. This leadership measure covers current profiles across 27 countries and combines C-suite seniority, an AI role and employment at an AI company.
Measurement guide
Why do women in AI roles range from 14% to 35%?
Studies measure AI professionals, talent, researchers and executives differently, so each percentage answers a distinct question.
| Figure | What it counts | Scope | Data year | What it shows |
|---|---|---|---|---|
| 26% | Women among new hires into US AI roles | United States | 2025 hires | LinkedIn Economic Graph, August 2026: a flow of new hires, not the current workforce; women were 50% of non-AI hires. |
| 34.3% | Women among AI professionals on LinkedIn | United States | 2025 | Latest US country estimate in the Stanford AI Index 2026. |
| 30.54% | Women among AI professionals on LinkedIn | Global | 2024 | Women represented nearly one-third of global AI talent. |
| ≈30% | Women in the AI workforce | Global | 2022 | ILO estimate of the whole AI workforce, 2022 data published in 2026: a broader population than the LinkedIn measures above. |
| 22% | LinkedIn members classified as AI professionals | Global | 2018 | Historical WEF benchmark for AI professional roles. |
| 35% | Skills-and-occupation model of the AI workforce | Selected OECD countries | 2018–2020 | Cross-country workforce representation based on skills and occupations. |
| 20% | Technical employees at major ML companies | Global | Multiple years | Women hold one in five technical roles at major ML companies. |
| 17.3% | Women among US AI research doctorate recipients | United States | 2024 | NSF Survey of Earned Doctorates: 51 of 295 artificial intelligence research doctorates went to women. |
| 14% | AI executive roles | Global | 2026 | Women hold about one in seven AI executive roles. |
United States
US women have nearly closed the gap in reported AI-chatbot use
Overall chatbot use is close to parity. Daily use, product mix, confidence and perceived benefit remain less equal.
In Pew’s February 2026 survey of 5,119 US adults, 47% of women and 50% of men had used an AI chatbot. In 2024, the corresponding figures were 28% and 39%, so women’s reported adoption rose 19 percentage points in two years compared with 11 points among men.
ChatGPT use was equal at 44%. Men reported higher use of Gemini, Copilot, Grok and Claude, while women were slightly more likely to use chatbots for emotional support or advice, at 11% versus 8%. Daily use was 20% among women and 27% among men.
Workplace adoption
Women use AI less at work, and receive less support
Access, permission, recognition and trust help determine who builds confidence and career leverage with AI.
Brookings and NORC found professional GenAI use among 17% of women and 25% of men in 2025. Lean In found 27% of women and 33% of men used AI daily or constantly at work in March 2026, a six-point gap.
Managers had encouraged 37% of men and 30% of women to use AI, a seven-point gap, and among workers who had used AI, 23% of men and 18% of women had been praised for it, five points apart. Women were more likely to question output accuracy, at 22% versus 17%, to report ethical concerns, at 22% versus 16%, and to worry that AI use could be perceived as cheating, at 29% versus 22% (Lean In, March 2026).
Workforce transition
Women face greater AI-driven workforce exposure
The greatest pressure falls on workers in highly exposed roles with fewer pathways to transition.
Brookings estimated that 36% of US women workers and 25% of men were in occupations where generative AI could save at least half the time on tasks. An ILO analysis covering 84 countries found 29% exposure among female-dominated occupations and 16% among male-dominated occupations. Exposure measures how much of a role’s tasks overlap with generative AI; it is not a prediction of job losses.
For many workers, AI will reshape tasks and responsibilities. Transition risk rises when high exposure combines with limited savings, fewer local opportunities and skills that are harder to transfer.
US labor demand
AI-related jobs are growing while exposed roles change
Growth and decline projections point to where reskilling and transition pathways matter most.
The US Bureau of Labor Statistics projects strong 2024–2034 growth for data scientists, information security analysts, operations research analysts, computer and information research scientists and software developers, the core occupations for building and deploying AI.
BLS projects declines in several administrative occupations affected by AI and automation: customer service representatives (-5.5%), procurement clerks (-8.7%), credit authorizers, checkers and clerks (-6.2%) and legal secretaries and administrative assistants (-5.8%). Stanford found AI skills in 2.56% of all US job postings in 2025, with California accounting for 17.18% of US AI postings.
Skills pipeline
Women’s participation in GenAI learning is rising
Learning-platform momentum is positive, while advanced research representation remains substantially lower.
Women’s share of global GenAI enrollments on Coursera rose from 32% in 2024 to 36% in 2025. Among employer-sponsored learners, the share increased from 36% to 42%.
Growth in course participation has yet to translate into equal representation at the advanced end of the pipeline; the research-pipeline section below follows that gap from doctorates to faculty hiring.
Venture capital
A record year for women-founded companies, driven by a few AI megadeals
Companies with at least one woman founder raised more in 2025 than ever before. Most of the money went to a handful of AI deals.
US companies with at least one woman founder raised a record $73.6 billion in 2025, PitchBook reports, and roughly two-thirds of it went to AI. The cohort spans every sector, not only AI companies.
Two companies, Scale AI and Anthropic, account for more than $30 billion of that total. The record says more about a few very large rounds than about broad access to capital, especially beyond the largest mixed-gender founding teams.
Founders
Are women AI founders getting funded?
In the United States, a record year on paper. In Europe, a shrinking share. And no public data on all-women teams.
Companies with at least one woman founder captured an all-time-high share of US VC deal value in 2025, according to PitchBook, with AI megadeals led by Scale AI and Anthropic behind the record. The cohort reached 25% of US exit count and a record $481 billion in aggregate unicorn valuation.
Europe moved the other way in 2025: female-founded companies’ share of overall European deal activity trended down amid fewer megadeals, even as their unicorn valuations hit a record. PitchBook also tracks funding by founder mix, distinguishing all-women, mixed-gender and all-men founding teams; those categories are reported separately from the broader at-least-one-woman-founder measure behind the $73.6 billion figure.
25%of US exit count came from that cohort in 2025 · PitchBook
$481Baggregate valuation of US female-founded unicorns, a record · PitchBook
The State of Women in AI 2026 study does not ask about fundraising; it asks women in every role, founders included, what they have built, shipped and led with AI and what holds them back. PitchBook remains the source for the funding numbers on this page.
Leadership
How many women hold AI leadership roles?
Each step toward the top narrows the field, down to about one C-suite AI seat in eight at AI companies.
LinkedIn’s August 2026 research covers 27 countries. At Director level and above, women were 31.2% of AI leaders compared with 38.5% of leaders overall, and the share falls again at C-suite level inside AI companies.
LinkedIn describes a triple penalty: a 15.3 percentage-point gap associated with reaching C-suite level, a 9.7-point gap for working in an AI role and a 5.2-point gap for working at an AI company. These modeled gaps isolate different parts of the pipeline; they should not be added together or treated as a single headcount.
31.2% vs 38.5%women’s share of AI leaders vs leaders overall at Director level and above · LinkedIn, 2026
15.3 pointsestimated C-suite leadership penalty after accounting for other factors · LinkedIn, 2026
Leadership is one of the areas the State of Women in AI 2026 study asks women about directly: whether they are encouraged to lead AI initiatives, included in AI governance and decision-making, and whether they see women role models in AI around them.
Research pipeline
How many AI researchers are women, and is the PhD pipeline changing?
Between one in eight and one in five, depending on the measure. The pipeline moves, slowly.
UNESCO estimates women at 12% of AI researchers. The US doctorate pipeline is only slightly wider: 51 of the 295 artificial intelligence research doctorates awarded in 2024 went to women (NSF Survey of Earned Doctorates).
Faculty hiring is where the trend is clearest: women’s share of new computer science, computer engineering and information faculty hires rose from 24.9% in 2017 to 30.2% in 2021, while men still made up 75.9% of that faculty. Learning-platform data show the same direction at the entry level, with women at 36% of GenAI course enrollments in 2025.
12%of AI researchers worldwide are women · UNESCO
30.2%of new CS, CE and information faculty hires were women in 2021, up from 24.9% in 2017 · Stanford AI Index 2023
Researchers and doctoral students are invited to the State of Women in AI 2026 study too: it records what respondents have built, published and led with AI and what limits them, so next year’s figures can follow the pipeline from the lab into leadership.
Hiring and pay
Are women hired and paid fairly for AI work?
LinkedIn's typical listed compensation for a US AI job was more than twice that of a non-AI job. LinkedIn did not disaggregate this figure by gender.
The opportunity is expanding: US AI job postings roughly doubled from 2023 to 2026, and the typical US AI job posting listed approximately $177,000 in compensation, compared with $80,000 for the typical non-AI role, according to LinkedIn. Women reach those jobs less often, at one in four US AI hires in 2025 as shown above, and their share of Member of Technical Staff roles fell from 23% in 2021 to 19% in May 2026.
Across AI occupations, a 10 percentage-point increase in the male share was associated with about $45,000 higher median listed pay. That is a cross-occupation relationship, not a comparison of women and men doing the same job and not proof of within-role pay discrimination. The LinkedIn report did not disaggregate listed compensation by gender.
23% → 19%women’s share of Member of Technical Staff roles, 2021 → May 2026 · LinkedIn, 2026
$45Khigher median listed pay for every 10-point rise in an AI occupation’s male share, a pattern across occupations · LinkedIn, 2026
Pay by role, level and geography sits at the top of the missing-data list above. The State of Women in AI 2026 study asks women whether AI skills have brought them recognition, a promotion or a raise, and whether AI roles are rewarded and promoted fairly across gender, so this section can carry real numbers next year.
By country
Which countries have the most women in AI?
From roughly one in four to two in five, across 41 countries. The United States sits in the upper third.
The Stanford AI Index 2026 measured women’s share of AI talent in 41 countries with 2025 LinkedIn data. Romania leads at 42.04%, followed by Singapore (38.01%), South Africa (37.31%) and Italy (35.48%); the United States is at 34.26%. France (31.02%), India (30.64%) and the United Kingdom (30.25%) sit close to the global LinkedIn figure of 30.54%; Germany (25.08%), Israel (26.41%) and Brazil (23.41%, the lowest) trail.
Men still account for 65% to 75% of AI talent in most countries, and the ratios have barely moved since 2016. Learning data show a different map: on Coursera, women were 49.7% of GenAI enrollments in Uzbekistan and 47.7% in Ecuador, but 15.9% in Pakistan and 22.2% in Egypt.
30.25% · 30.64%United Kingdom · India: women’s share of AI talent, 2025 · Stanford AI Index 2026
49.7% vs 15.9%women’s share of GenAI course enrollments, Uzbekistan vs Pakistan · Coursera, 2025
Country-level data end at LinkedIn profiles. The State of Women in AI 2026 study is global by design, so that Europe, the UK, India and Africa get the same depth of evidence as the United States.
Agentic AI
Agents are arriving faster than the gender data
Enterprise surveys show agentic AI moving from pilots to budgets. Almost none of them report results by gender.
PwC’s May 2025 survey of 300 senior executives found 88% planning to raise AI budgets because of agentic AI, and 66% of adopters already reporting productivity gains. Microsoft’s 2025 Work Trend Index, covering 31,000 workers in 31 markets, found 81% of leaders expecting agents in their AI strategy within 12 to 18 months, while only 40% of employees, against 67% of leaders, said they were familiar with agents at all.
The Stanford AI Index 2026 records agents jumping from 12% to about 66% task success on the OSWorld benchmark of real computer tasks. What no major adoption survey records is who is building, deploying and managing these agents. The one gender-disaggregated signal comes from research, not the enterprise: Anthropic’s 2026 survey of 1,260 social scientists.
88%of senior executives plan to raise AI budgets because of agentic AI · PwC, May 2025
81%of leaders expect agents in their AI strategy within 12 to 18 months · Microsoft Work Trend Index 2025
25% → 50%of GenAI-using companies running agentic pilots, 2025 → 2027 · Deloitte
Because agent adoption is being measured without a gender lens, the State of Women in AI 2026 study by Women AI Builders and WomenTech Network asks women directly how they work with AI agents today, what they use them for and how prepared they feel for them.
Full data set
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| ID | Topic | Finding | Scope & year | Source | Copy |
|---|---|---|---|---|---|
| #001 | Roles & leadership | Women were 22% and men 78% of AI professionals identified through LinkedIn. | Global, published 2018 | WEF/LinkedIn | |
| #002 | Roles & leadership | Women accounted for about 30% of the global AI workforce. | Global, 2022; ILO report published 2026 | ILO | |
| #003 | Roles & leadership | Women were 23% of the US AI talent pool in the original benchmark. | US, published 2018 | WEF/LinkedIn | |
| #004 | Roles & leadership | Women were 16% of Germany's AI talent pool. | Germany, published 2018 | WEF/LinkedIn | |
| #005 | Roles & leadership | Women were 17% of Argentina's AI talent pool. | Argentina, published 2018 | WEF/LinkedIn | |
| #006 | Roles & leadership | Women averaged 28%, versus 72% men, in the AI talent pools of Italy, Singapore and South Africa. | Three-country average, published 2018 | WEF/LinkedIn | |
| #007 | Roles & leadership | Women's share of AI talent oscillated between 21% and 23% over the four years studied. | Global LinkedIn trend, published 2018 | WEF/LinkedIn | |
| #008 | Roles & leadership | Software and IT services employed 40% of the AI talent pool. | Global LinkedIn pool, published 2018 | WEF/LinkedIn | |
| #009 | Roles & leadership | Education employed 19% of the AI talent pool. | Global LinkedIn pool, published 2018 | WEF/LinkedIn | |
| #010 | Roles & leadership | Women working in software and IT services made up 7.4% of the total AI talent pool. | Global LinkedIn pool, published 2018 | WEF/LinkedIn | |
| #011 | Roles & leadership | Women working in education made up 4.6% of the total AI talent pool. | Global LinkedIn pool, published 2018 | WEF/LinkedIn | |
| #012 | Roles & leadership | Nonprofits employed 4% of the AI talent pool. | Global LinkedIn pool, published 2018 | WEF/LinkedIn | |
| #013 | Roles & leadership | Healthcare employed 2% of the AI talent pool. | Global LinkedIn pool, published 2018 | WEF/LinkedIn | |
| #014 | Roles & leadership | 40% of women in the female AI pool listed machine-learning skills, compared with 47% of men in the male pool. | Global LinkedIn pool, published 2018 | WEF/LinkedIn | |
| #015 | Roles & leadership | Data analysts were 4.2% of the female AI pool and 3.0% of the male AI pool. | Global LinkedIn pool, published 2018 | WEF/LinkedIn | |
| #016 | Roles & leadership | Women were 30.54% and men 69.46% of global LinkedIn AI talent. | Global, 2024 | Stanford AI Index 2025 | |
| #017 | Roles & leadership | Women were 34.3% and men 65.7% of US LinkedIn AI talent. | US, 2025 | Stanford AI Index 2026 | |
| #018 | Roles & leadership | Men generally represented 65% to 75% of AI talent across the countries Stanford measured. | Selected countries, 2025 | Stanford AI Index 2026 | |
| #019 | Roles & leadership | Women were 30% of AI talent. | Global, 2022 | WEF/LinkedIn | |
| #020 | Roles & leadership | The concentration of AI talent grew sixfold from 2016 to 2022. | Global LinkedIn data, 2016-2022 | WEF/LinkedIn | |
| #021 | Roles & leadership | Women were 28% of AI talent in financial services. | Global LinkedIn industry data, 2022 | WEF/LinkedIn | |
| #022 | Roles & leadership | Women were 40% of AI talent in education. | Global LinkedIn industry data, 2022 | WEF/LinkedIn | |
| #023 | Roles & leadership | Women were 31% of AI talent in professional services. | Global LinkedIn industry data, 2022 | WEF/LinkedIn | |
| #024 | Roles & leadership | Women were 25% of AI talent in technology, information and media. | Global LinkedIn industry data, 2022 | WEF/LinkedIn | |
| #025 | Roles & leadership | Women were 38% of AI talent in consumer services. | Global LinkedIn industry data, 2022 | WEF/LinkedIn | |
| #026 | Roles & leadership | Women were 35% of AI talent in government and the public sector. | Global LinkedIn industry data, 2022 | WEF/LinkedIn | |
| #027 | Roles & leadership | Women's share of AI talent rose about 4 percentage points, from roughly 26% in 2016 to 30% in 2022. | Global LinkedIn data, 2016-2022 | WEF/LinkedIn | |
| #028 | Roles & leadership | Women averaged 35% of the modeled AI workforce across the OECD-country sample. | Selected OECD countries, 2018-2019; US through 2020 | OECD working paper | |
| #029 | Roles & leadership | Women's modeled share ranged from 30% in the Netherlands to 46% in Latvia. | Selected OECD countries, 2018-2019; US through 2020 | OECD working paper | |
| #030 | Roles & leadership | An earlier US study cited by OECD estimated women at 36% of the US AI workforce. | US, cited in OECD 2023 | OECD working paper | |
| #031 | Roles & leadership | The modeled AI workforce represented 0.34% of employment across the OECD sample. | Selected OECD countries, 2019 | OECD working paper | |
| #032 | Roles & leadership | The modeled AI workforce grew from 0.07% to 0.34% of employment from 2011 to 2019. | Selected OECD countries, 2011-2019 | OECD working paper | |
| #033 | Roles & leadership | More than 60% of the modeled AI workforce had at least a tertiary degree. | Selected OECD countries, pooled data | OECD working paper | |
| #034 | Roles & leadership | Almost 50% of the modeled AI workforce earned above the 80th percentile. | Selected OECD countries, pooled data | OECD working paper | |
| #035 | Roles & leadership | Women were 20% of employees in technical roles at major machine-learning companies. | Global, multiple years | UNESCO | |
| #036 | Roles & leadership | Women were 12% of AI researchers. | Global, earlier estimate | UNESCO | |
| #037 | Roles & leadership | Women were 6% of professional software developers in UNESCO's displayed figure. | Global, multiple years · software overall, context figure, not AI-specific | UNESCO | |
| #038 | Roles & leadership | Women held 14% of AI executive roles. | Global, published 2026 | IMD | |
| #039 | Roles & leadership | Women's share of new AI PhDs rose 3.2 percentage points from 2011 to 2021. | North America, 2011-2021 | Stanford AI Index 2023 | |
| #040 | Roles & leadership | Women's share of new CS, CE and information faculty hires rose from 24.9% in 2017 to 30.2% in 2021. | North American universities | Stanford AI Index 2023 | |
| #041 | Roles & leadership | Men were 75.9% of CS, CE and information faculty. | North American universities, 2021 | Stanford AI Index 2023 | |
| #042 | Roles & leadership | 0.1% of CS, CE and information faculty identified as nonbinary. | North American universities, 2021 | Stanford AI Index 2023 | |
| #043 | Adoption & attitudes | In 2024, 33% of US adults, 39% of men and 28% of women had used an AI chatbot. | US adults, 2024 | Pew Research Center | |
| #044 | Adoption & attitudes | In 2026, 49% of US adults, 50% of men and 47% of women said they ever used an AI chatbot. | US adults, 2026 | Pew Research Center | |
| #045 | Adoption & attitudes | Women's reported chatbot use rose 19 percentage points from 2024 to 2026; men's rose 11 points. | US adults, calculated from Pew values | Pew Research Center | |
| #046 | Adoption & attitudes | 27% of men and 20% of women used AI chatbots daily. | US adults, 2026 | Pew Research Center | |
| #047 | Adoption & attitudes | 29% of men and 20% of women had used Gemini. | US adults, 2026 | Pew Research Center | |
| #048 | Adoption & attitudes | 22% of men and 13% of women had used Copilot. | US adults, 2026 | Pew Research Center | |
| #049 | Adoption & attitudes | 11% of men and 4% of women had used Grok. | US adults, 2026 | Pew Research Center | |
| #050 | Adoption & attitudes | 9% of men and 4% of women had used Claude. | US adults, 2026 | Pew Research Center | |
| #051 | Adoption & attitudes | 4% of men and 2% of women had used Character.ai. | US adults, 2026 | Pew Research Center | |
| #052 | Adoption & attitudes | ChatGPT use was equal at 44% of men and 44% of women. | US adults, 2026 | Pew Research Center | |
| #053 | Adoption & attitudes | 13% of men and 15% of women had used Meta AI. | US adults, 2026 | Pew Research Center | |
| #054 | Adoption & attitudes | 45% of men and 39% of women used chatbots to search for information. | US adults, 2026 | Pew Research Center | |
| #055 | Adoption & attitudes | 28% of men and 22% of women used chatbots for fun or entertainment. | US adults, 2026 | Pew Research Center | |
| #056 | Adoption & attitudes | Among employed adults, 40% of men and 35% of women used chatbots for work tasks. | Employed US adults, 2026 | Pew Research Center | |
| #057 | Adoption & attitudes | 24% of men and 23% of women used chatbots to create or edit images or videos. | US adults, 2026 | Pew Research Center | |
| #058 | Adoption & attitudes | 21% of men and 19% of women used chatbots for medical advice. | US adults, 2026 | Pew Research Center | |
| #059 | Adoption & attitudes | 20% of men and 19% of women used chatbots for diet or fitness information. | US adults, 2026 | Pew Research Center | |
| #060 | Adoption & attitudes | 15% of men and 12% of women used chatbots to get news. | US adults, 2026 | Pew Research Center | |
| #061 | Adoption & attitudes | 8% of men and 11% of women used chatbots for emotional support or advice. | US adults, 2026 | Pew Research Center | |
| #062 | Adoption & attitudes | 4% of men and 4% of women used chatbots for companionship. | US adults, 2026 | Pew Research Center | |
| #063 | Adoption & attitudes | 35% of men and 25% of women said chatbots helped their productivity at least a little. | US adults, 2026 | Pew Research Center | |
| #064 | Adoption & attitudes | 30% of men and 26% of women said chatbots helped how informed they were. | US adults, 2026 | Pew Research Center | |
| #065 | Adoption & attitudes | 23% of men and 19% of women said chatbots helped their creativity. | US adults, 2026 | Pew Research Center | |
| #066 | Adoption & attitudes | 9% of men and 7% of women said chatbots helped their happiness. | US adults, 2026 | Pew Research Center | |
| #067 | Adoption & attitudes | 6% of men and 6% of women said chatbots helped their relationships. | US adults, 2026 | Pew Research Center | |
| #068 | Adoption & attitudes | 63% of men and 57% of women said they read AI summaries at the top of search results. | US adults, 2026 | Pew Research Center | |
| #069 | Adoption & attitudes | For AI's personal impact over 20 years, US adults answered 23% positive, 31% negative, 27% mixed and 19% unsure. | US adults, 2026 | Pew Research Center | |
| #070 | Adoption & attitudes | Men's views of AI's personal impact were 29% positive, 27% negative, 27% mixed and 16% unsure. | US men, 2026 | Pew Research Center | |
| #071 | Adoption & attitudes | Women's views of AI's personal impact were 17% positive, 33% negative, 27% mixed and 22% unsure. | US women, 2026 | Pew Research Center | |
| #072 | Adoption & attitudes | For AI's societal impact, US adults answered 16% positive, 40% negative, 31% mixed and 13% unsure. | US adults, 2026 | Pew Research Center | |
| #073 | Adoption & attitudes | Men's views of AI's societal impact were 22% positive, 36% negative, 30% mixed and 12% unsure. | US men, 2026 | Pew Research Center | |
| #074 | Adoption & attitudes | Women's views of AI's societal impact were 11% positive, 43% negative, 31% mixed and 15% unsure. | US women, 2026 | Pew Research Center | |
| #075 | Adoption & attitudes | On development speed, US adults answered 63% too quickly, 19% right pace, 2% too slowly and 16% unsure. | US adults, 2026 | Pew Research Center | |
| #076 | Adoption & attitudes | Men answered 58% too quickly, 23% right pace, 3% too slowly and 15% unsure. | US men, 2026 | Pew Research Center | |
| #077 | Adoption & attitudes | Women answered 68% too quickly, 14% right pace, 1% too slowly and 17% unsure. | US women, 2026 | Pew Research Center | |
| #078 | Adoption & attitudes | 55% of men and 41% of women said they had heard a lot about AI. | US adults, 2026 | Pew Research Center | |
| #079 | Adoption & attitudes | 48% of men and 38% of women said they had heard a lot about AI chatbots. | US adults, 2026 | Pew Research Center | |
| #080 | Adoption & attitudes | 22% of men and 15% of women felt extremely or very confident using chatbots. | US adults, 2026 | Pew Research Center | |
| #081 | Workplace use | 33% of men and 27% of women used AI daily or constantly at work, a six-percentage-point gap. | US adults, 2026 | Lean In | |
| #082 | Workplace use | 78% of men and 73% of women had ever used AI at work, a five-percentage-point gap. | US adults, 2026 | Lean In | |
| #083 | Workplace use | 45% of men and 40% of women felt positive about AI, a five-percentage-point gap. | US adults, 2026 | Lean In | |
| #084 | Workplace use | 26% of men and 20% of women felt energized about AI, a six-percentage-point gap. | US adults, 2026 | Lean In | |
| #085 | Workplace use | 25% of women and 20% of men felt threatened by AI, a five-percentage-point gap. | US adults, 2026 | Lean In | |
| #086 | Workplace use | 29% of women and 22% of men worried AI use would be perceived as cheating, a seven-percentage-point gap. | US adults, 2026 | Lean In | |
| #087 | Workplace use | 19% of women and 8% of men predicted more women than men would be laid off because of AI. | US adults, 2026 | Lean In | |
| #088 | Workplace use | 22% of women and 17% of men questioned AI accuracy, a five-percentage-point gap. | US adults, 2026 | Lean In | |
| #089 | Workplace use | 22% of women and 16% of men had ethical reservations about AI, a six-percentage-point gap. | US adults, 2026 | Lean In | |
| #090 | Workplace use | Among workers who had used AI, 23% of men and 18% of women had been praised for it, a five-percentage-point gap. | US AI users at work, 2026 | Lean In | |
| #091 | Workplace use | 37% of men and 30% of women were encouraged by a manager to use AI, a seven-percentage-point gap. | US adults, 2026 | Lean In | |
| #092 | Workplace use | 57% of respondents used GenAI for at least one personal purpose. | US adults, 2025 · overall population, not gender-split (context) | Brookings/NORC | |
| #093 | Workplace use | Among personal GenAI users, 74% used it for internet searches or web browsing. | US personal GenAI users, 2025 · overall population, not gender-split (context) | Brookings/NORC | |
| #094 | Workplace use | Personal GenAI use was 67% among respondents with a bachelor's degree or more. | US adults, 2025 · overall population, not gender-split (context) | Brookings/NORC | |
| #095 | Workplace use | Personal GenAI use was 60% among respondents with some college or an associate degree. | US adults, 2025 · overall population, not gender-split (context) | Brookings/NORC | |
| #096 | Workplace use | Personal GenAI use was 46% among high-school graduates. | US adults, 2025 · overall population, not gender-split (context) | Brookings/NORC | |
| #097 | Workplace use | Daily-or-more personal AI use was 20% among respondents with a bachelor's degree or more. | US adults, 2025 · overall population, not gender-split (context) | Brookings/NORC | |
| #098 | Workplace use | Daily-or-more personal AI use was 21% among respondents with some college or an associate degree. | US adults, 2025 · overall population, not gender-split (context) | Brookings/NORC | |
| #099 | Workplace use | Daily-or-more personal AI use was 8% for high-school graduates and 8% for respondents without a diploma. | US adults, 2025 · overall population, not gender-split (context) | Brookings/NORC | |
| #100 | Workplace use | 40% said their AI use had increased at least slightly over the prior year. | US adults, 2025 · overall population, not gender-split (context) | Brookings/NORC | |
| #101 | Workplace use | 4% said their AI use had decreased over the prior year. | US adults, 2025 · overall population, not gender-split (context) | Brookings/NORC | |
| #102 | Workplace use | 11% of adults ages 18-29 said they used AI less frequently than a year earlier. | US adults ages 18-29, 2025 · overall population, not gender-split (context) | Brookings/NORC | |
| #103 | Workplace use | 55% of respondents with a bachelor's degree or more reported increased AI use. | US adults, 2025 · overall population, not gender-split (context) | Brookings/NORC | |
| #104 | Workplace use | Increased AI use was 24% without a high-school diploma and 27% among high-school graduates. | US adults, 2025 · overall population, not gender-split (context) | Brookings/NORC | |
| #105 | Workplace use | 21% used GenAI in their professional role. | US adults, 2025 · overall population, not gender-split (context) | Brookings/NORC | |
| #106 | Workplace use | Professional GenAI use was 25% among men and 17% among women. | US adults, 2025 | Brookings/NORC | |
| #107 | Workplace use | Professional GenAI use was 33% among respondents with a bachelor's degree or more. | US adults, 2025 · overall population, not gender-split (context) | Brookings/NORC | |
| #108 | Workplace use | Professional GenAI use was 20% among respondents with some college or an associate degree. | US adults, 2025 · overall population, not gender-split (context) | Brookings/NORC | |
| #109 | Workplace use | Professional GenAI use was 12% among high-school graduates. | US adults, 2025 · overall population, not gender-split (context) | Brookings/NORC | |
| #110 | Workplace use | Professional GenAI use was 5% among respondents without a high-school diploma. | US adults, 2025 · overall population, not gender-split (context) | Brookings/NORC | |
| #111 | Workplace use | Professional GenAI use peaked at 31% among adults ages 30-44. | US adults, 2025 · overall population, not gender-split (context) | Brookings/NORC | |
| #112 | Workplace use | Professional GenAI use was 26% among adults ages 45-59. | US adults, 2025 · overall population, not gender-split (context) | Brookings/NORC | |
| #113 | Workplace use | Professional GenAI use was 25% among adults ages 18-29. | US adults, 2025 · overall population, not gender-split (context) | Brookings/NORC | |
| #114 | Workplace use | Professional GenAI use was 8% among adults ages 60 and older. | US adults, 2025 · overall population, not gender-split (context) | Brookings/NORC | |
| #115 | Workplace use | Professional GenAI use was 9% below $30,000 household income and 34% at $100,000 or more. | US adults, 2025 · overall population, not gender-split (context) | Brookings/NORC | |
| #116 | Workplace use | 22% said AI use in their workplace had increased in the prior six months. | US adults, 2025 · overall population, not gender-split (context) | Brookings/NORC | |
| #117 | Workplace use | Increased workplace AI use was 40% for BA+, 19% for some college, 9% for high-school graduates and 5% without a diploma. | US adults, 2025 · overall population, not gender-split (context) | Brookings/NORC | |
| #118 | Workplace use | 19% said AI increased their daily productivity. | US adults, 2025 · overall population, not gender-split (context) | Brookings/NORC | |
| #119 | Workplace use | 4% said AI increased their productivity significantly. | US adults, 2025 · overall population, not gender-split (context) | Brookings/NORC | |
| #120 | Workplace use | 22% said their daily productivity remained the same. | US adults, 2025 · overall population, not gender-split (context) | Brookings/NORC | |
| #121 | Workplace use | 53% were unsure about AI's productivity effect or said it did not apply. | US adults, 2025 · overall population, not gender-split (context) | Brookings/NORC | |
| #122 | Workplace use | 11% expected AI to increase job opportunities in their field over five years. | US adults, 2025 · overall population, not gender-split (context) | Brookings/NORC | |
| #123 | Workplace use | 53% of the healthcare-professional subsample reported using AI. | US healthcare subsample, 2025 · overall population, not gender-split (context) | Brookings/NORC | |
| #124 | Workplace use | 25% of the healthcare subsample cited patient-communication tools. | US healthcare subsample, 2025 · overall population, not gender-split (context) | Brookings/NORC | |
| #125 | Workplace use | AI use was 82% among male and 40% among female healthcare professionals in the sample. | US healthcare subsample, 2025 | Brookings/NORC | |
| #126 | Workplace use | AI use was 79% among men and 39% among women in the finance subsample; Brookings cautions that it contained fewer than 50 respondents. | US finance subsample, 2025 | Brookings/NORC | |
| #127 | Workplace use | Professional GenAI use was 29% among small-business respondents and 27% among larger-firm respondents. | Employed US respondents, 2025 · overall population, not gender-split (context) | Brookings/NORC | |
| #128 | Workplace use | Increased workplace AI use was 59% at small businesses and 60% at larger firms. | Employed US respondents, 2025 | Brookings/NORC | |
| #129 | Exposure & transition | More than 30% of workers were in occupations where GenAI could affect at least half of tasks. | US workforce exposure analysis, 2024 · overall population, not gender-split (context) | Brookings | |
| #130 | Exposure & transition | About 85% of workers were in occupations where GenAI could affect at least 10% of tasks. | US workforce exposure analysis, 2024 | Brookings | |
| #131 | Exposure & transition | Nearly 19 million Americans worked in office and administrative support occupations highlighted for high exposure and automation potential. | US workforce, 2024 analysis | Brookings | |
| #132 | Exposure & transition | 36% of women workers and 25% of men were in occupations where GenAI could save at least half the time on tasks. | US workforce exposure analysis, 2024 | Brookings | |
| #133 | Exposure & transition | 37.1 million workers were in the top quartile of occupational AI exposure. | US workforce sample, 2026 analysis | Brookings | |
| #134 | Exposure & transition | 26.5 million highly exposed workers also had above-median adaptive capacity. | US workforce sample, 2026 analysis | Brookings | |
| #135 | Exposure & transition | About 70% of highly exposed workers had high average capacity to manage a job transition. | US workforce sample, 2026 analysis | Brookings | |
| #136 | Exposure & transition | 6.1 million workers combined high AI exposure with low adaptive capacity. | US workforce sample, 2026 analysis | Brookings | |
| #137 | Exposure & transition | The high-exposure, low-capacity group was 4.2% of the workforce sample. | US workforce sample, 2026 analysis | Brookings | |
| #138 | Exposure & transition | Women were 86% of the high-exposure, low-adaptive-capacity group. | US workforce sample, 2026 analysis | Brookings | |
| #139 | Exposure & transition | GenAI exposure was 29% for female-dominated occupations and 16% for male-dominated occupations. | 84 countries, published 2026 | ILO research brief | |
| #140 | Exposure & transition | In the highest exposure categories, the shares were 16% for female-dominated and 3% for male-dominated occupations. | Countries with available data, published 2026 | ILO | |
| #141 | Exposure & transition | Women were more exposed to GenAI than men in 88% of countries analyzed. | 84-country analysis, published 2026 | ILO | |
| #142 | Exposure & transition | More than 40% of women's employment was exposed to GenAI in several economies, including Switzerland, the UK and the Philippines. | Selected economies, published 2026 | ILO | |
| #143 | Exposure & transition | Job exposure was 41% in high-income countries and 11% in low-income countries. | Country income groups, published 2026 | ILO | |
| #144 | Jobs & demand | Data scientist employment is projected to grow 33.5%, adding 82,500 jobs. | US, 2024-2034 projection | US BLS | |
| #145 | Jobs & demand | Information security analyst employment is projected to grow 28.5%, adding 52,100 jobs. | US, 2024-2034 projection | US BLS | |
| #146 | Jobs & demand | Actuary employment is projected to grow 21.8%, adding 7,300 jobs. | US, 2024-2034 projection | US BLS | |
| #147 | Jobs & demand | Operations research analyst employment is projected to grow 21.5%, adding 24,100 jobs. | US, 2024-2034 projection | US BLS | |
| #148 | Jobs & demand | Computer and information research scientist employment is projected to grow 19.7%, adding 7,900 jobs. | US, 2024-2034 projection | US BLS | |
| #149 | Jobs & demand | Software developer employment is projected to grow 15.8%, adding 267,700 jobs. | US, 2024-2034 projection | US BLS | |
| #150 | Jobs & demand | Medical records specialist employment is projected to grow 7.1%, adding 13,800 jobs. | US, 2024-2034 projection | US BLS | |
| #151 | Jobs & demand | Sales engineer employment is projected to grow 5.5%, adding 3,100 jobs. | US, 2024-2034 projection | US BLS | |
| #152 | Jobs & demand | Medical secretary and administrative assistant employment is projected to grow 4.2%, adding 35,300 jobs. | US, 2024-2034 projection | US BLS | |
| #153 | Jobs & demand | Total US employment is projected to grow 3.1%, adding 5,211,800 jobs. | US, 2024-2034 projection | US BLS | |
| #154 | Jobs & demand | Executive secretary and executive administrative assistant employment is projected to fall 1.6%, a decline of 7,900 jobs. | US, 2024-2034 projection | US BLS | |
| #155 | Jobs & demand | Other secretary and administrative assistant employment is projected to fall 1.6%, a decline of 30,800 jobs. | US, 2024-2034 projection | US BLS | |
| #156 | Jobs & demand | Medical transcriptionist employment is projected to fall 4.9%, a decline of 2,200 jobs. | US, 2024-2034 projection | US BLS | |
| #157 | Jobs & demand | Claims adjuster, examiner and investigator employment is projected to fall 5.1%, a decline of 18,200 jobs. | US, 2024-2034 projection | US BLS | |
| #158 | Jobs & demand | Broadcast announcer and radio DJ employment is projected to fall 5.5%, a decline of 1,300 jobs. | US, 2024-2034 projection | US BLS | |
| #159 | Jobs & demand | Customer service representative employment is projected to fall 5.5%, a decline of 153,700 jobs. | US, 2024-2034 projection | US BLS | |
| #160 | Jobs & demand | Legal secretary and administrative assistant employment is projected to fall 5.8%, a decline of 9,000 jobs. | US, 2024-2034 projection | US BLS | |
| #161 | Jobs & demand | Credit authorizer, checker and clerk employment is projected to fall 6.2%, a decline of 700 jobs. | US, 2024-2034 projection | US BLS | |
| #162 | Jobs & demand | Procurement clerk employment is projected to fall 8.7%, a decline of 5,400 jobs. | US, 2024-2034 projection | US BLS | |
| #163 | Jobs & demand | AI postings were 2.56% of all US job postings. | US, 2025 | Stanford AI Index 2026 | |
| #164 | Jobs & demand | Broad AI skills appeared in 1.70% of all US job postings. | US, 2025 | Stanford AI Index 2026 | |
| #165 | Jobs & demand | Machine-learning skills appeared in 0.99% of all US job postings. | US, 2025 | Stanford AI Index 2026 | |
| #166 | Jobs & demand | Generative-AI skills appeared in 0.41% of all US job postings. | US, 2025 | Stanford AI Index 2026 | |
| #167 | Jobs & demand | AI-agent skills appeared in 0.23% of all US job postings. | US, 2025 | Stanford AI Index 2026 | |
| #168 | Jobs & demand | Natural-language-processing skills appeared in 0.22% of all US job postings. | US, 2025 | Stanford AI Index 2026 | |
| #169 | Jobs & demand | Neural-network skills appeared in 0.20% of all US job postings. | US, 2025 | Stanford AI Index 2026 | |
| #170 | Jobs & demand | Autonomous-driving skills appeared in 0.14% of all US job postings. | US, 2025 | Stanford AI Index 2026 | |
| #171 | Jobs & demand | Visual-recognition skills appeared in 0.09% of all US job postings. | US, 2025 | Stanford AI Index 2026 | |
| #172 | Jobs & demand | Robotics skills appeared in 0.08% of all US job postings. | US, 2025 | Stanford AI Index 2026 | |
| #173 | Jobs & demand | AI-governance skills appeared in 0.05% of all US job postings. | US, 2025 | Stanford AI Index 2026 | |
| #174 | Jobs & demand | AI postings reached 13.2% of information-sector postings, up from 7.8% in 2024. | US, 2024-2025 | Stanford AI Index 2026 | |
| #175 | Jobs & demand | AI postings were 6.5% of professional, scientific and technical-services postings. | US, 2025 | Stanford AI Index 2026 | |
| #176 | Jobs & demand | AI postings were 5.3% of finance and insurance postings. | US, 2025 | Stanford AI Index 2026 | |
| #177 | Jobs & demand | AI postings were 4.7% of manufacturing postings. | US, 2025 | Stanford AI Index 2026 | |
| #178 | Jobs & demand | California accounted for 17.18% of US AI job postings. | US, 2025 | Stanford AI Index 2026 | |
| #179 | Jobs & demand | Texas accounted for 8.10% of US AI job postings. | US, 2025 | Stanford AI Index 2026 | |
| #180 | Jobs & demand | New York accounted for 6.64% of US AI job postings. | US, 2025 | Stanford AI Index 2026 | |
| #181 | Jobs & demand | Washington accounted for 3.93% of US AI job postings. | US, 2025 | Stanford AI Index 2026 | |
| #182 | Jobs & demand | Mentions of GenAI skills in AI job postings grew 111% from 2024 to 2025. | US AI job postings | Stanford AI Index 2026 | |
| #183 | Jobs & demand | Python appeared in 258,674 postings, up 391% from 2013-2015 and nearly 30% from 2024. | US AI job postings, 2025 | Stanford AI Index 2026 | |
| #184 | Education & skills | Women's share of GenAI enrollments rose from 32% in 2024 to 36% in 2025. | Global Coursera learners | Coursera | |
| #185 | Education & skills | Among enterprise learners, women's share rose from 36% in 2024 to 42% in 2025. | Global Coursera enterprise learners | Coursera | |
| #186 | Education & skills | Women were 29.2% of STEM workers, compared with 49.3% of non-STEM employment. | Global LinkedIn workforce data, 2023 | WEF/LinkedIn | |
| #187 | Education & skills | Women were six times more likely to enroll in beginner-level than intermediate GenAI courses. | Coursera learners, published 2025 | Coursera playbook article | |
| #188 | Education & skills | Women were 49.7% of GenAI enrollments in Uzbekistan. | Coursera learners in Uzbekistan, published 2025 | Coursera playbook article | |
| #189 | Education & skills | Women were 47.7% of GenAI enrollments in Ecuador. | Coursera learners in Ecuador, published 2025 | Coursera playbook article | |
| #190 | Education & skills | Women were 44.9% of GenAI enrollments in the Czech Republic. | Coursera learners in Czech Republic, published 2025 | Coursera playbook article | |
| #191 | Education & skills | Women were 41.8% of GenAI enrollments in Colombia. | Coursera learners in Colombia, published 2025 | Coursera playbook article | |
| #192 | Education & skills | Women were 15.9% of GenAI enrollments in Pakistan. | Coursera learners in Pakistan, published 2025 | Coursera playbook article | |
| #193 | Education & skills | Women were 22.2% of GenAI enrollments in Egypt. | Coursera learners in Egypt, published 2025 | Coursera playbook article | |
| #194 | Education & skills | Women were 23.4% of GenAI enrollments in Israel. | Coursera learners in Israel, published 2025 | Coursera playbook article | |
| #195 | Education & skills | Women were 23.8% of GenAI enrollments in the United Arab Emirates. | Coursera learners in UAE, published 2025 | Coursera playbook article | |
| #196 | Founders & funding | US VC-backed companies with at least one woman founder raised $73.6 billion. | US, 2025 | PitchBook | |
| #197 | Founders & funding | Companies with at least one woman founder captured 27.7% of total US VC deal value. | US, 2025 | PitchBook | |
| #198 | Founders & funding | AI accounted for roughly two-thirds of VC dollars invested in US companies with at least one woman founder. | US, 2025 | PitchBook | |
| #199 | Founders & funding | More than $30 billion of that capital came from Scale AI and Anthropic alone. | US, 2025 | PitchBook | |
| #200 | Founders & funding | Exit value for this founder cohort more than doubled year over year, and the cohort reached 25% of US exit count. | US, 2025 | PitchBook | |
| #201 | Founders & funding | Aggregate valuation of US female-founded unicorns reached $481 billion. | US, 2025 | PitchBook | |
| #202 | Agentic AI | 88% of senior executives said their team or business function plans to increase AI-related budgets in the next 12 months because of agentic AI. | US senior executives, May 2025 (n=300) | PwC AI Agent Survey | |
| #203 | Agentic AI | Among companies adopting AI agents, 66% reported increased productivity. | US senior executives, May 2025 (n=300) | PwC AI Agent Survey | |
| #204 | Agentic AI | 68% of executives reported that half or fewer of their employees interact with AI agents in their everyday work. | US senior executives, May 2025 (n=300) | PwC AI Agent Survey | |
| #205 | Agentic AI | 81% of leaders expected AI agents to be moderately or extensively integrated into their company's AI strategy within 12 to 18 months. | Knowledge workers in 31 markets, February to March 2025 (n=31,000) | Microsoft Work Trend Index 2025 | |
| #206 | Agentic AI | 46% of leaders said their companies were using AI agents to fully automate workflows or processes. | Knowledge workers in 31 markets, February to March 2025 (n=31,000) | Microsoft Work Trend Index 2025 | |
| #207 | Agentic AI | 67% of leaders were familiar or extremely familiar with AI agents, compared with 40% of employees. | Knowledge workers in 31 markets, February to March 2025 (n=31,000) | Microsoft Work Trend Index 2025 | |
| #208 | Agentic AI | Deloitte predicted that 25% of companies using generative AI would launch agentic AI pilots or proofs of concept in 2025, growing to 50% in 2027. | Global enterprise prediction, published November 2024 | Deloitte TMT Predictions 2025 | |
| #209 | Agentic AI | 23% of enterprises using generative AI were exploring AI agents to a large or very large extent, and another 42% to some extent. | Enterprises using generative AI, Deloitte State of Generative AI in the Enterprise survey, 2024 | Deloitte TMT Predictions 2025 | |
| #210 | Agentic AI | AI agents' task success on the OSWorld benchmark of real computer tasks rose from 12% to about 66%, while still failing roughly one in three attempts on structured benchmarks. | Global benchmark results, published 2026 | Stanford AI Index 2026 | |
| #211 | Agentic AI | Social scientists with typically male names had adopted coding agents at more than twice the rate of respondents with typically female names. | Quantitative social scientists surveyed February to March 2026 (n=1,260), published May 2026 | Anthropic | |
| #212 | By country | Women were 30.25% and men 69.75% of AI talent in the United Kingdom. | United Kingdom, 2025 (LinkedIn data) | Stanford AI Index 2026 | |
| #213 | By country | Women were 25.08% and men 74.92% of AI talent in Germany. | Germany, 2025 (LinkedIn data) | Stanford AI Index 2026 | |
| #214 | By country | Women were 31.02% and men 68.98% of AI talent in France. | France, 2025 (LinkedIn data) | Stanford AI Index 2026 | |
| #215 | By country | Women were 35.48% and men 64.52% of AI talent in Italy. | Italy, 2025 (LinkedIn data) | Stanford AI Index 2026 | |
| #216 | By country | Women were 30.64% and men 69.36% of AI talent in India. | India, 2025 (LinkedIn data) | Stanford AI Index 2026 | |
| #217 | By country | Women were 37.31% and men 62.69% of AI talent in South Africa. | South Africa, 2025 (LinkedIn data) | Stanford AI Index 2026 | |
| #218 | By country | Women were 38.01% and men 61.99% of AI talent in Singapore. | Singapore, 2025 (LinkedIn data) | Stanford AI Index 2026 | |
| #219 | By country | Romania had the highest women's share of AI talent among the 41 countries measured, at 42.04%. | Romania, 2025 (LinkedIn data); 41-country comparison | Stanford AI Index 2026 | |
| #220 | By country | Brazil had the lowest women's share of AI talent among the 41 countries measured, at 23.41%. | Brazil, 2025 (LinkedIn data); 41-country comparison | Stanford AI Index 2026 | |
| #221 | By country | Women were 26.41% and men 73.59% of AI talent in Israel. | Israel, 2025 (LinkedIn data) | Stanford AI Index 2026 | |
| #222 | Hiring & pay | Jobs "professionalised" by AI grew twice as fast as jobs "democratised" by AI, with 42% higher wage growth since 2021. | Global, published June 2026 | PwC 2026 AI Jobs Barometer | |
| #223 | Hiring & pay | Productivity growth was 40% higher at companies most exposed to AI than at the least exposed. | Global, published June 2026 | PwC 2026 AI Jobs Barometer | |
| #224 | Hiring & pay | "Seniorised" entry-level roles grew 35% since 2019 while overall early-career postings flatlined in highly AI-exposed sectors. | Global, 2019 to 2026 | PwC 2026 AI Jobs Barometer | |
| #225 | Founders & funding | Female-founded companies' share of overall European VC deal activity trended downward year over year. | Europe, 2025 | PitchBook | |
| #226 | Founders & funding | Aggregate valuation of European female-founded unicorns reached a record high, while deal value and count declined amid fewer megadeals. | Europe, 2025 | PitchBook | |
| #227 | Roles & leadership | Women earned 17.3% of US artificial intelligence research doctorates in 2024: 51 of 295 recipients. | United States, 2024 | NSF NCSES, Survey of Earned Doctorates 2024 (NSF 25-349, Table 3-2) | |
| #228 | Jobs & demand | BLS projects a 5.5% employment decline for customer service representatives, about 153,700 jobs, in occupations affected by AI and automation. | United States, 2024-2034 projection | US Bureau of Labor Statistics, 2024-34 Employment Projections | |
| #229 | Jobs & demand | BLS projects an 8.7% employment decline for procurement clerks, about 5,400 jobs, in occupations affected by AI and automation. | United States, 2024-2034 projection | US Bureau of Labor Statistics, 2024-34 Employment Projections | |
| #230 | Jobs & demand | BLS projects a 6.2% employment decline for credit authorizers, checkers and clerks in occupations affected by AI and automation. | United States, 2024-2034 projection | US Bureau of Labor Statistics, 2024-34 Employment Projections | |
| #231 | Jobs & demand | BLS projects a 5.8% employment decline for legal secretaries and administrative assistants in occupations affected by AI and automation. | United States, 2024-2034 projection | US Bureau of Labor Statistics, 2024-34 Employment Projections | |
| #232 | Hiring & pay | Women accounted for 26% of US AI hires in 2025, compared with 50% of non-AI hires. | United States, 2025 hires | LinkedIn Economic Graph Research Institute, The Triple Penalty (2026) | |
| #233 | Hiring & pay | Women accounted for 20% of Head of AI hires. | United States, 2025 hires | LinkedIn Economic Graph Research Institute, The Triple Penalty (2026) | |
| #234 | Hiring & pay | Women accounted for 26% of Director of AI hires. | United States, 2025 hires | LinkedIn Economic Graph Research Institute, The Triple Penalty (2026) | |
| #235 | Hiring & pay | Women accounted for 18% of Member of Technical Staff hires. | United States, 2025 hires | LinkedIn Economic Graph Research Institute, The Triple Penalty (2026) | |
| #236 | Roles & leadership | Women held 13% of C-suite AI roles at AI companies across 27 countries. | 27 countries, C-suite AI roles at AI companies, published August 2026 | LinkedIn Economic Graph Research Institute, The Triple Penalty (2026) | |
| #237 | Roles & leadership | Women held 31.2% of AI leadership roles at Director level and above, compared with 38.5% of leadership roles overall. | 24 countries, Director level and above, 2025 | LinkedIn Economic Graph Research Institute, The Triple Penalty (2026) | |
| #238 | Roles & leadership | LinkedIn estimated a 15.3 percentage-point penalty associated with reaching C-suite level after accounting for other factors in its model. | 24 countries, 2025 | LinkedIn Economic Graph Research Institute, The Triple Penalty (2026) | |
| #239 | Roles & leadership | LinkedIn estimated a 9.7 percentage-point penalty associated with working in an AI role after accounting for other factors in its model. | 24 countries, 2025 | LinkedIn Economic Graph Research Institute, The Triple Penalty (2026) | |
| #240 | Roles & leadership | LinkedIn estimated a 5.2 percentage-point penalty associated with working at an AI company after accounting for other factors in its model. | 24 countries, 2025 | LinkedIn Economic Graph Research Institute, The Triple Penalty (2026) | |
| #241 | Hiring & pay | Women’s share of Member of Technical Staff roles fell from 23% in 2021 to 19% in May 2026. | United States, 2021 to May 2026 | LinkedIn Economic Graph Research Institute, The Triple Penalty (2026) | |
| #242 | Hiring & pay | Across US AI occupations, a 10 percentage-point increase in the male share was associated with about $45,000 higher median listed pay. This cross-occupation relationship is not an individual gender pay-gap estimate. | United States, AI occupations, published August 2026 | LinkedIn Economic Graph Research Institute, The Triple Penalty (2026) | |
| #243 | Hiring & pay | US AI job postings roughly doubled between 2023 and 2026. | United States, 2023 to 2026 | LinkedIn Economic Graph Research Institute, The AI Talent Divide (2026) | |
| #244 | Hiring & pay | The typical US AI job posting listed approximately $177,000 in compensation, compared with $80,000 for the typical non-AI role. | United States, published August 2026 | LinkedIn Economic Graph Research Institute, The AI Talent Divide (2026) |
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Answers to the most common questions about women in AI representation, adoption, jobs, leadership and funding.
What percentage of AI roles are held by women?
Women represented 34.3% of US LinkedIn AI talent in 2025, according to the Stanford AI Index Report 2026. The latest global LinkedIn measure was 30.54% in 2024.
What does the 34.3% women-in-AI figure measure?
The 34.3% figure is women’s share of LinkedIn members in the United States whose profiles identify them as AI talent. It uses 2025 LinkedIn Economic Graph data published in the Stanford AI Index Report 2026.
What do the approximately 30% estimates represent?
They measure broad AI talent or workforce populations. Stanford reported women at 30.54% of global LinkedIn AI talent in 2024, while the ILO reported in 2026 that women accounted for about 30% of the global AI workforce in 2022.
What percentage of the US AI workforce is women?
Women represented 34.3% of US LinkedIn AI talent in 2025, according to Stanford’s 2026 report. An earlier occupation-and-skills study cited by the OECD estimated women at 36% of the US AI workforce.
Are women using AI less than men?
It depends on the behavior measured. In 2026, 47% of US women and 50% of men had used an AI chatbot. Daily use was 20% among women and 27% among men. Brookings and NORC found professional GenAI use at 17% among women and 25% among men in 2025.
Which AI chatbot has gender parity in use?
Pew found identical ChatGPT adoption among US women and men in 2026: 44% for each. Men reported higher use of Gemini, Copilot, Grok and Claude; women were slightly more likely to use chatbots for emotional support or advice, 11% versus 8%.
Are women’s jobs more exposed to generative AI?
Yes, on current occupational-exposure measures. Brookings found 36% of US women workers and 25% of men in occupations where GenAI could save at least half the time on tasks. The ILO found exposure of 29% in female-dominated occupations and 16% in male-dominated occupations.
Does AI exposure mean women will lose their jobs?
No. Exposure means AI can affect tasks; it does not predict whether an employer will automate, augment or redesign a role. Whether exposure becomes opportunity or displacement depends on how organizations redesign work and who gets access to training.
How many AI researchers are women?
Published global estimates put women at 12% of AI researchers (UNESCO); in the United States, women earned 17.3% of AI research doctorates in 2024 (NSF).
How many AI executives are women?
LinkedIn reported in August 2026 that women held 13% of C-suite AI roles at AI companies across 27 countries. This narrower measure combines seniority, AI role and AI-company filters, so it is not interchangeable with IMD’s broader 14% estimate for AI executive roles globally.
Is the women-in-AI skills gap closing?
Some indicators show progress. Women’s share of Coursera GenAI enrollments rose from 32% in 2024 to 36% in 2025, and the enterprise-learning share rose from 36% to 42%. Women earned 17.3% of US AI research doctorates in 2024 (NSF).
How much funding goes to women-founded AI companies?
PitchBook reported that US companies with at least one woman founder raised $73.6 billion in 2025 and that AI received roughly two-thirds. More than $30 billion came from Scale AI and Anthropic alone, so the total is highly concentrated.
Why do women-in-AI statistics differ?
The figures cover different populations, years and geographies. LinkedIn talent data, occupational models, research databases and consumer surveys answer different questions about women’s participation in AI.
What share of AI hires are women?
Women accounted for 26% of US AI hires in 2025, compared with 50% of non-AI hires, according to LinkedIn. Within AI hiring, women were 20% of Head of AI hires, 26% of Director of AI hires and 18% of Member of Technical Staff hires.
What percentage of AI PhDs go to women?
Women earned 17.3% of US AI research doctorates in 2024, 51 of 295 recipients (NSF Survey of Earned Doctorates). Women’s share of new computing faculty hires rose from 24.9% in 2017 to 30.2% in 2021.
Do women in AI earn less than men?
LinkedIn does not compare women’s and men’s pay within the same AI job. Across US AI occupations, a 10 percentage-point higher male share was associated with about $45,000 higher median listed pay. This is a comparison across roles, not an individual gender pay-gap estimate or proof of pay discrimination within a role.
Which country has the highest share of women in AI?
Romania, at 42.04% of AI talent in 2025, followed by Singapore (38.01%) and South Africa (37.31%), according to the Stanford AI Index 2026. The United States is at 34.26%, the United Kingdom at 30.25%, India at 30.64%, Germany at 25.08% and Brazil at 23.41%, the lowest of the 41 countries measured.
How much VC funding do women AI founders raise?
US companies with at least one woman founder raised $73.6 billion in 2025, 27.7% of total US VC deal value, with roughly two-thirds going to AI (PitchBook). In Europe, that cohort’s share of deal activity trended down in 2025. PitchBook also tracks funding by founder mix, distinguishing all-women, mixed-gender and all-men founding teams, reported separately from the at-least-one-woman-founder measure.
Is there data on women and agentic AI?
Very little. Enterprise surveys track agent adoption without a gender breakdown: 88% of senior executives plan to raise AI budgets because of agentic AI (PwC, 2025) and 81% of leaders expect agents in their AI strategy within 12 to 18 months (Microsoft, 2025). The clearest gender signal so far comes from Anthropic’s 2026 survey of social scientists, where typically male names had adopted coding agents at more than twice the rate of typically female names. Closing this gap is one reason the State of Women in AI 2026 study exists.
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Source: WomenTech Network, “Women in AI Statistics 2026,” updated August 25, 2026, https://womenaibuilders.org/women-in-ai-statistics
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