Prepared by Verasight
Survey results from a nationally representative sample of adults aged 18+.
Key Takeaways
Which of the following AI tools or models have you heard of?
Select all that apply.
(N = 1,690)
Grok (xAI / Elon Musk)
51%
| Response | Percent |
|---|---|
| ChatGPT (OpenAI) | 90% |
| Google Gemini | 83% |
| Meta AI / Llama | 67% |
| Microsoft Copilot | 66% |
| Claude (Anthropic) | 51% |
| Grok (xAI / Elon Musk) | 51% |
| DeepSeek | 31% |
| Perplexity | 27% |
| None of the above | 4% |
Demographic Crosstabs
| Response | 18-29 | 30-49 | 50-64 | 65+ |
|---|---|---|---|---|
| ChatGPT (OpenAI) | 90% | 90% | 89% | 89% |
| Google Gemini | 87% | 84% | 81% | 81% |
| Meta AI / Llama | 63% | 64% | 69% | 70% |
| Microsoft Copilot | 68% | 65% | 64% | 67% |
| Claude (Anthropic) | 59% | 48% | 50% | 49% |
| Grok (xAI / Elon Musk) | 58% | 50% | 48% | 50% |
| DeepSeek | 39% | 29% | 30% | 27% |
| Perplexity | 29% | 30% | 28% | 19% |
| None of the above | 5% | 3% | 5% | 4% |
Which of the following AI tools or models have you personally used in the past 30 days?
Select all that apply.
(N = 1,622)
Shown if respondent has heard of at least one AI tool or model
None — I have not used any AI tool in the past 30 days
28%
| Response | Percent |
|---|---|
| Google Gemini | 46% |
| ChatGPT (OpenAI) | 45% |
| None — I have not used any AI tool in the past 30 days | 28% |
| Microsoft Copilot | 20% |
| Meta AI / Llama | 11% |
| Claude (Anthropic) | 9% |
| Grok (xAI / Elon Musk) | 8% |
| Perplexity | 4% |
| DeepSeek | 3% |
Demographic Crosstabs
| Response | 18-29 | 30-49 | 50-64 | 65+ |
|---|---|---|---|---|
| Google Gemini | 55% | 46% | 46% | 38% |
| ChatGPT (OpenAI) | 53% | 52% | 43% | 32% |
| None — I have not used any AI tool in the past 30 days | 20% | 22% | 30% | 40% |
| Microsoft Copilot | 19% | 23% | 21% | 18% |
| Meta AI / Llama | 12% | 13% | 12% | 7% |
| Claude (Anthropic) | 13% | 10% | 8% | 4% |
| Grok (xAI / Elon Musk) | 13% | 7% | 5% | 7% |
| Perplexity | 4% | 5% | 5% | 3% |
| DeepSeek | 5% | 3% | 2% | 1% |
Which of the following AI tools or models have you used the most in the past 30 days?
(N = 1,158)
Shown if respondent has used at least one AI tool or model in the past 30 days
ChatGPT (OpenAI)Google GeminiMicrosoft CopilotClaude (Anthropic)Grok (xAI / Elon Musk)PerplexityMeta AI / LlamaDeepSeekNone — I have not used any AI tool in the past 30 days
| Response | Percent |
|---|---|
| ChatGPT (OpenAI) | 40% |
| Google Gemini | 39% |
| Microsoft Copilot | 9% |
| Claude (Anthropic) | 4% |
| Meta AI / Llama | 4% |
| Grok (xAI / Elon Musk) | 2% |
| Perplexity | 2% |
| DeepSeek | 0% |
| None — I have not used any AI tool in the past 30 days | 0% |
Demographic Crosstabs
| Response | 18-29 | 30-49 | 50-64 | 65+ |
|---|---|---|---|---|
| ChatGPT (OpenAI) | 37% | 47% | 36% | 33% |
| Google Gemini | 40% | 33% | 45% | 42% |
| Microsoft Copilot | 8% | 7% | 10% | 14% |
| Claude (Anthropic) | 7% | 4% | 2% | 2% |
| Meta AI / Llama | 5% | 4% | 3% | 3% |
| Grok (xAI / Elon Musk) | 2% | 2% | 1% | 4% |
| Perplexity | 0% | 2% | 2% | 2% |
| DeepSeek | 1% | 0% | 0% | 0% |
| None — I have not used any AI tool in the past 30 days | 0% | 0% | 0% | 0% |
In general, how often do you use AI tools such as ChatGPT, Claude, Gemini, or Copilot?
(N = 1,690)
Several times per dayAbout once a dayA few times a weekAbout once a weekA few times a monthLess than once a monthNever
| Response | Percent |
|---|---|
| Several times per day | 17% |
| About once a day | 12% |
| A few times a week | 20% |
| About once a week | 7% |
| A few times a month | 9% |
| Less than once a month | 12% |
| Never | 24% |
Demographic Crosstabs
| Response | 18-29 | 30-49 | 50-64 | 65+ |
|---|---|---|---|---|
| Several times per day | 17% | 23% | 16% | 10% |
| About once a day | 16% | 11% | 11% | 10% |
| A few times a week | 22% | 20% | 19% | 17% |
| About once a week | 10% | 6% | 7% | 5% |
| A few times a month | 6% | 9% | 8% | 11% |
| Less than once a month | 12% | 12% | 12% | 14% |
| Never | 16% | 19% | 26% | 34% |
To what extent do you agree or disagree with each of the following statements about AI?
(N = 1,690)
I feel anxious about the rise of AI60%
40%
I’m excited about the possibilities AI brings to my life47%
53%
I feel confident I can keep up with changes driven by AI51%
48%
AI will lead to fewer job opportunities in the future72%
28%
I trust AI tools to give me accurate information45%
55%
AI has made my daily life easier50%
50%
AI is having a positive impact on society overall41%
60%
AI threatens human connection and authentic relationships73%
28%
I worry about losing control over decisions that affect my life due to AI48%
52%
| Item | Strongly agree | Somewhat agree | Somewhat disagree | Strongly disagree |
|---|---|---|---|---|
| I feel anxious about the rise of AI | 21% | 39% | 26% | 14% |
| I’m excited about the possibilities AI brings to my life | 12% | 35% | 30% | 23% |
| I feel confident I can keep up with changes driven by AI | 11% | 40% | 31% | 17% |
| AI will lead to fewer job opportunities in the future | 31% | 41% | 21% | 7% |
| I trust AI tools to give me accurate information | 6% | 39% | 33% | 22% |
| AI has made my daily life easier | 11% | 39% | 27% | 23% |
| AI is having a positive impact on society overall | 7% | 34% | 36% | 24% |
| AI threatens human connection and authentic relationships | 34% | 39% | 20% | 8% |
| I worry about losing control over decisions that affect my life due to AI | 16% | 32% | 30% | 22% |
Demographic Crosstabs
I feel anxious about the rise of AI
| Response | 18-29 | 30-49 | 50-64 | 65+ |
|---|---|---|---|---|
| Somewhat agree | 45% | 40% | 33% | 40% |
| Somewhat disagree | 24% | 25% | 29% | 24% |
| Strongly agree | 21% | 19% | 22% | 24% |
| Strongly disagree | 10% | 17% | 16% | 11% |
I’m excited about the possibilities AI brings to my life
| Response | 18-29 | 30-49 | 50-64 | 65+ |
|---|---|---|---|---|
| Somewhat agree | 39% | 37% | 35% | 31% |
| Somewhat disagree | 31% | 27% | 29% | 32% |
| Strongly disagree | 19% | 21% | 23% | 29% |
| Strongly agree | 11% | 16% | 13% | 8% |
I feel confident I can keep up with changes driven by AI
| Response | 18-29 | 30-49 | 50-64 | 65+ |
|---|---|---|---|---|
| Somewhat agree | 48% | 43% | 38% | 33% |
| Somewhat disagree | 30% | 27% | 34% | 36% |
| Strongly disagree | 11% | 15% | 20% | 24% |
| Strongly agree | 10% | 15% | 9% | 7% |
AI will lead to fewer job opportunities in the future
| Response | 18-29 | 30-49 | 50-64 | 65+ |
|---|---|---|---|---|
| Somewhat agree | 47% | 40% | 40% | 39% |
| Strongly agree | 25% | 32% | 31% | 33% |
| Somewhat disagree | 24% | 17% | 22% | 21% |
| Strongly disagree | 4% | 10% | 7% | 7% |
I trust AI tools to give me accurate information
| Response | 18-29 | 30-49 | 50-64 | 65+ |
|---|---|---|---|---|
| Somewhat agree | 38% | 41% | 37% | 38% |
| Somewhat disagree | 37% | 29% | 34% | 35% |
| Strongly disagree | 20% | 21% | 22% | 24% |
| Strongly agree | 5% | 9% | 6% | 3% |
AI has made my daily life easier
| Response | 18-29 | 30-49 | 50-64 | 65+ |
|---|---|---|---|---|
| Somewhat agree | 49% | 41% | 36% | 31% |
| Somewhat disagree | 22% | 24% | 29% | 32% |
| Strongly disagree | 17% | 22% | 26% | 29% |
| Strongly agree | 11% | 13% | 9% | 8% |
AI is having a positive impact on society overall
| Response | 18-29 | 30-49 | 50-64 | 65+ |
|---|---|---|---|---|
| Somewhat disagree | 39% | 30% | 37% | 39% |
| Somewhat agree | 33% | 34% | 33% | 33% |
| Strongly disagree | 21% | 26% | 23% | 23% |
| Strongly agree | 6% | 10% | 7% | 5% |
AI threatens human connection and authentic relationships
| Response | 18-29 | 30-49 | 50-64 | 65+ |
|---|---|---|---|---|
| Somewhat agree | 37% | 40% | 37% | 40% |
| Strongly agree | 36% | 30% | 36% | 34% |
| Somewhat disagree | 22% | 18% | 21% | 19% |
| Strongly disagree | 6% | 11% | 6% | 6% |
I worry about losing control over decisions that affect my life due to AI
| Response | 18-29 | 30-49 | 50-64 | 65+ |
|---|---|---|---|---|
| Somewhat agree | 37% | 30% | 28% | 32% |
| Somewhat disagree | 32% | 31% | 29% | 29% |
| Strongly disagree | 19% | 24% | 25% | 19% |
| Strongly agree | 12% | 15% | 18% | 20% |
How much anxiety, if any, do you feel about AI’s implications in each of the following areas?
(N = 1,690)
A great deal of anxiety
Some anxiety
A little anxiety
No anxiety
A great deal of anxiety
19%
A great deal of anxiety
33%
A great deal of anxiety
33%
A great deal of anxiety
29%
A great deal of anxiety
32%
A great deal of anxiety
25%
| Item | A great deal of anxiety | Some anxiety | A little anxiety | No anxiety |
|---|---|---|---|---|
| Employment and job security | 19% | 30% | 25% | 26% |
| Privacy and personal data | 33% | 33% | 21% | 13% |
| Authenticity of information and media | 33% | 34% | 20% | 13% |
| Human relationships and social connection | 29% | 31% | 22% | 17% |
| Government and political decision-making | 32% | 32% | 20% | 16% |
| Mental health and emotional wellbeing | 25% | 31% | 25% | 19% |
Demographic Crosstabs
Employment and job security
| Response | 18-29 | 30-49 | 50-64 | 65+ |
|---|---|---|---|---|
| Some anxiety | 39% | 31% | 27% | 23% |
| No anxiety | 12% | 22% | 32% | 36% |
| A little anxiety | 29% | 26% | 21% | 24% |
| A great deal of anxiety | 20% | 21% | 20% | 16% |
Privacy and personal data
| Response | 18-29 | 30-49 | 50-64 | 65+ |
|---|---|---|---|---|
| Some anxiety | 46% | 31% | 26% | 32% |
| A great deal of anxiety | 23% | 34% | 39% | 37% |
| A little anxiety | 20% | 21% | 22% | 20% |
| No anxiety | 10% | 15% | 14% | 12% |
Authenticity of information and media
| Response | 18-29 | 30-49 | 50-64 | 65+ |
|---|---|---|---|---|
| Some anxiety | 36% | 33% | 31% | 39% |
| A great deal of anxiety | 32% | 31% | 37% | 32% |
| A little anxiety | 19% | 22% | 20% | 18% |
| No anxiety | 13% | 14% | 12% | 11% |
Human relationships and social connection
| Response | 18-29 | 30-49 | 50-64 | 65+ |
|---|---|---|---|---|
| Some anxiety | 38% | 30% | 26% | 30% |
| A great deal of anxiety | 24% | 29% | 35% | 30% |
| A little anxiety | 27% | 22% | 21% | 20% |
| No anxiety | 11% | 19% | 19% | 20% |
Government and political decision-making
| Response | 18-29 | 30-49 | 50-64 | 65+ |
|---|---|---|---|---|
| Some anxiety | 40% | 34% | 25% | 30% |
| A great deal of anxiety | 23% | 30% | 37% | 39% |
| A little anxiety | 20% | 21% | 22% | 16% |
| No anxiety | 17% | 15% | 16% | 16% |
Mental health and emotional wellbeing
| Response | 18-29 | 30-49 | 50-64 | 65+ |
|---|---|---|---|---|
| Some anxiety | 41% | 28% | 27% | 30% |
| A little anxiety | 31% | 25% | 22% | 24% |
| A great deal of anxiety | 18% | 26% | 30% | 25% |
| No anxiety | 10% | 21% | 22% | 22% |
How excited, if at all, are you about AI’s potential benefits in each of the following areas?
(N = 1,690)
Very excited
Somewhat excited
Not very excited
Not at all excited
| Item | Very excited | Somewhat excited | Not very excited | Not at all excited |
|---|---|---|---|---|
| Work productivity | 14% | 36% | 28% | 22% |
| Healthcare and medicine | 20% | 37% | 23% | 19% |
| Education | 14% | 32% | 30% | 25% |
| Creative expression (art, writing, music) | 13% | 27% | 28% | 33% |
| Scientific research | 22% | 39% | 21% | 17% |
| Climate and environmental solutions | 15% | 32% | 28% | 26% |
Demographic Crosstabs
Work productivity
| Response | 18-29 | 30-49 | 50-64 | 65+ |
|---|---|---|---|---|
| Somewhat excited | 46% | 37% | 31% | 32% |
| Not very excited | 25% | 25% | 28% | 34% |
| Not at all excited | 14% | 20% | 28% | 26% |
| Very excited | 15% | 18% | 14% | 9% |
Healthcare and medicine
| Response | 18-29 | 30-49 | 50-64 | 65+ |
|---|---|---|---|---|
| Somewhat excited | 40% | 40% | 32% | 36% |
| Not very excited | 26% | 22% | 25% | 21% |
| Very excited | 18% | 20% | 21% | 22% |
| Not at all excited | 16% | 18% | 23% | 20% |
Education
| Response | 18-29 | 30-49 | 50-64 | 65+ |
|---|---|---|---|---|
| Somewhat excited | 34% | 33% | 26% | 33% |
| Not very excited | 30% | 27% | 34% | 29% |
| Not at all excited | 25% | 23% | 25% | 27% |
| Very excited | 11% | 17% | 14% | 11% |
Creative expression (art, writing, music)
| Response | 18-29 | 30-49 | 50-64 | 65+ |
|---|---|---|---|---|
| Not at all excited | 41% | 30% | 32% | 30% |
| Not very excited | 22% | 25% | 28% | 37% |
| Somewhat excited | 26% | 27% | 29% | 26% |
| Very excited | 11% | 18% | 12% | 8% |
Scientific research
| Response | 18-29 | 30-49 | 50-64 | 65+ |
|---|---|---|---|---|
| Somewhat excited | 41% | 42% | 35% | 39% |
| Very excited | 14% | 24% | 23% | 25% |
| Not very excited | 28% | 19% | 21% | 18% |
| Not at all excited | 16% | 15% | 21% | 18% |
Climate and environmental solutions
| Response | 18-29 | 30-49 | 50-64 | 65+ |
|---|---|---|---|---|
| Somewhat excited | 34% | 34% | 28% | 29% |
| Not very excited | 26% | 26% | 30% | 30% |
| Not at all excited | 27% | 24% | 28% | 26% |
| Very excited | 13% | 16% | 14% | 15% |
To what extent do you support or oppose each of the following AI regulations?
(N = 1,690)
Requiring AI companies to publicly disclose the results of safety testing for their most powerful AI systems89%
11%
Requiring AI companies to have their most powerful AI systems reviewed by independent, third-party evaluators before deployment89%
12%
giving the federal government the authority to block the release of an AI system if it is found to pose a risk81%
19%
| Item | Strongly support | Support | Oppose | Strongly oppose |
|---|---|---|---|---|
| Requiring AI companies to publicly disclose the results of safety testing for their most powerful AI systems | 55% | 34% | 8% | 3% |
| Requiring AI companies to have their most powerful AI systems reviewed by independent, third-party evaluators before deployment | 53% | 36% | 9% | 3% |
| giving the federal government the authority to block the release of an AI system if it is found to pose a risk | 45% | 36% | 14% | 5% |
Demographic Crosstabs
Requiring AI companies to publicly disclose the results of safety testing for their most powerful AI systems
| Response | 18-29 | 30-49 | 50-64 | 65+ |
|---|---|---|---|---|
| Strongly support | 47% | 52% | 57% | 63% |
| Support | 36% | 36% | 33% | 33% |
| Oppose | 15% | 8% | 7% | 3% |
| Strongly oppose | 2% | 5% | 3% | 1% |
Requiring AI companies to have their most powerful AI systems reviewed by independent, third-party evaluators before deployment
| Response | 18-29 | 30-49 | 50-64 | 65+ |
|---|---|---|---|---|
| Strongly support | 45% | 51% | 54% | 60% |
| Support | 39% | 35% | 37% | 34% |
| Oppose | 15% | 9% | 6% | 5% |
| Strongly oppose | 1% | 5% | 3% | 1% |
giving the federal government the authority to block the release of an AI system if it is found to pose a risk
| Response | 18-29 | 30-49 | 50-64 | 65+ |
|---|---|---|---|---|
| Strongly support | 41% | 40% | 47% | 52% |
| Support | 39% | 37% | 35% | 32% |
| Oppose | 17% | 15% | 13% | 12% |
| Strongly oppose | 3% | 8% | 6% | 5% |
To what extent are you concerned about each of the following?
(N = 1,690)
Very concerned
Somewhat concerned
Not at all concerned
| Item | Very concerned | Somewhat concerned | Not at all concerned |
|---|---|---|---|
| AI being used to help develop biological or chemical weapons | 48% | 39% | 13% |
| AI leading to job loss | 47% | 40% | 13% |
| AI being used to launch large-scale cyberattacks on hospitals, power grids, or other critical infrastructure | 51% | 39% | 10% |
| AI systems acting in ways that humans can no longer control or shut down | 46% | 39% | 15% |
| AI accelerating the development of even more powerful AI in unpredictable ways | 43% | 43% | 14% |
| The United States falling behind China in AI development | 25% | 40% | 35% |
Demographic Crosstabs
AI being used to help develop biological or chemical weapons
| Response | 18-29 | 30-49 | 50-64 | 65+ |
|---|---|---|---|---|
| Very concerned | 34% | 43% | 55% | 59% |
| Somewhat concerned | 51% | 40% | 34% | 33% |
| Not at all concerned | 15% | 17% | 12% | 8% |
AI leading to job loss
| Response | 18-29 | 30-49 | 50-64 | 65+ |
|---|---|---|---|---|
| Very concerned | 44% | 45% | 50% | 47% |
| Somewhat concerned | 42% | 40% | 37% | 41% |
| Not at all concerned | 14% | 14% | 13% | 12% |
AI being used to launch large-scale cyberattacks on hospitals, power grids, or other critical infrastructure
| Response | 18-29 | 30-49 | 50-64 | 65+ |
|---|---|---|---|---|
| Very concerned | 42% | 44% | 59% | 61% |
| Somewhat concerned | 49% | 42% | 32% | 33% |
| Not at all concerned | 9% | 14% | 9% | 6% |
AI systems acting in ways that humans can no longer control or shut down
| Response | 18-29 | 30-49 | 50-64 | 65+ |
|---|---|---|---|---|
| Very concerned | 34% | 43% | 52% | 56% |
| Somewhat concerned | 51% | 38% | 38% | 30% |
| Not at all concerned | 15% | 19% | 10% | 14% |
AI accelerating the development of even more powerful AI in unpredictable ways
| Response | 18-29 | 30-49 | 50-64 | 65+ |
|---|---|---|---|---|
| Somewhat concerned | 55% | 42% | 43% | 35% |
| Very concerned | 29% | 40% | 48% | 53% |
| Not at all concerned | 15% | 18% | 9% | 11% |
The United States falling behind China in AI development
| Response | 18-29 | 30-49 | 50-64 | 65+ |
|---|---|---|---|---|
| Somewhat concerned | 35% | 38% | 40% | 48% |
| Not at all concerned | 49% | 40% | 30% | 24% |
| Very concerned | 16% | 22% | 31% | 29% |
AI companies have proposed regulations for the AI industry. Thinking about these proposals, which of the following best reflects your view?
(N = 1,690)
These proposals are primarily designed to protect the public — the companies are genuinely trying to prevent harm from AI
9%
These proposals are primarily designed to benefit the companies — by shaping regulations in ways that favor established players and block competition
43%
These proposals are equally motivated by public interest and company self-interest
15%
I'm not sure / I don't have enough information to say
33%
| Response | Percent |
|---|---|
| These proposals are primarily designed to protect the public — the companies are genuinely trying to prevent harm from AI | 9% |
| These proposals are primarily designed to benefit the companies — by shaping regulations in ways that favor established players and block competition | 43% |
| These proposals are equally motivated by public interest and company self-interest | 15% |
| I'm not sure / I don't have enough information to say | 33% |
Demographic Crosstabs
| Response | 18-29 | 30-49 | 50-64 | 65+ |
|---|---|---|---|---|
| These proposals are primarily designed to protect the public — the companies are genuinely trying to prevent harm from AI | 10% | 9% | 9% | 8% |
| These proposals are primarily designed to benefit the companies — by shaping regulations in ways that favor established players and block competition | 53% | 43% | 39% | 39% |
| These proposals are equally motivated by public interest and company self-interest | 12% | 16% | 15% | 14% |
| I'm not sure / I don't have enough information to say | 24% | 32% | 37% | 38% |
If you had to pick, who do you trust more to determine whether the model is safe?
(N = 1,690)
I trust the U.S. government
30%
I trust the AI company, Anthropic
14%
I’m not familiar enough with the situation to have an opinion.
56%
| Response | Percent |
|---|---|
| I trust the U.S. government | 30% |
| I trust the AI company, Anthropic | 14% |
| I’m not familiar enough with the situation to have an opinion. | 56% |
Demographic Crosstabs
| Response | 18-29 | 30-49 | 50-64 | 65+ |
|---|---|---|---|---|
| I trust the U.S. government | 34% | 27% | 28% | 31% |
| I trust the AI company, Anthropic | 13% | 18% | 12% | 11% |
| I’m not familiar enough with the situation to have an opinion. | 53% | 55% | 60% | 58% |
Which of the following best reflects your general view on AI safety disputes between the government and AI companies?
(N = 1,690)
The government should generally have the final say, even if AI companies disagree
49%
AI companies should generally have the final say, since they understand the technology better than regulators
15%
| Response | Percent |
|---|---|
| The government should generally have the final say, even if AI companies disagree | 49% |
| AI companies should generally have the final say, since they understand the technology better than regulators | 15% |
| I’m not sure | 35% |
Demographic Crosstabs
| Response | 18-29 | 30-49 | 50-64 | 65+ |
|---|---|---|---|---|
| The government should generally have the final say, even if AI companies disagree | 58% | 45% | 44% | 52% |
| AI companies should generally have the final say, since they understand the technology better than regulators | 19% | 17% | 14% | 12% |
| I’m not sure | 22% | 38% | 42% | 35% |
How would you describe your own personal financial situation today compared to one year ago?
(N = 1,690)
Much better offSomewhat better offAbout the sameSomewhat worse offMuch worse off
| Response | Percent |
|---|---|
| Much better off | 7% |
| Somewhat better off | 18% |
| About the same | 44% |
| Somewhat worse off | 20% |
| Much worse off | 10% |
Demographic Crosstabs
| Response | 18-29 | 30-49 | 50-64 | 65+ |
|---|---|---|---|---|
| Much better off | 5% | 8% | 8% | 7% |
| Somewhat better off | 27% | 16% | 18% | 16% |
| About the same | 44% | 41% | 43% | 47% |
| Somewhat worse off | 20% | 22% | 17% | 22% |
| Much worse off | 4% | 12% | 14% | 9% |
To what extent has each of the following made your personal financial situation better or worse?
(N = 1,690)
| Item | Better | Worse | No Impact |
|---|---|---|---|
| President Trump’s policies | 19% | 58% | 22% |
| Congressional Democrats | 12% | 42% | 46% |
| Congressional Republicans | 17% | 54% | 29% |
| The Federal Reserve | 10% | 36% | 53% |
| AI Companies (e.g., OpenAI, Anthropic) | 12% | 25% | 63% |
| Big Technology Companies (e.g., Amazon, Google, Meta) | 17% | 31% | 52% |
| My own personal decisions | 46% | 22% | 32% |
Demographic Crosstabs
President Trump’s policies
| Response | 18-29 | 30-49 | 50-64 | 65+ |
|---|---|---|---|---|
| Worse | 72% | 60% | 51% | 52% |
| No Impact | 18% | 23% | 28% | 20% |
| Better | 10% | 17% | 21% | 28% |
Congressional Democrats
| Response | 18-29 | 30-49 | 50-64 | 65+ |
|---|---|---|---|---|
| No Impact | 59% | 43% | 42% | 43% |
| Worse | 25% | 42% | 50% | 49% |
| Better | 16% | 15% | 7% | 8% |
Congressional Republicans
| Response | 18-29 | 30-49 | 50-64 | 65+ |
|---|---|---|---|---|
| Worse | 58% | 57% | 46% | 54% |
| No Impact | 29% | 29% | 35% | 23% |
| Better | 13% | 14% | 19% | 23% |
The Federal Reserve
| Response | 18-29 | 30-49 | 50-64 | 65+ |
|---|---|---|---|---|
| No Impact | 56% | 50% | 53% | 56% |
| Worse | 31% | 41% | 38% | 33% |
| Better | 12% | 9% | 9% | 11% |
AI Companies (e.g., OpenAI, Anthropic)
| Response | 18-29 | 30-49 | 50-64 | 65+ |
|---|---|---|---|---|
| No Impact | 58% | 59% | 65% | 70% |
| Worse | 30% | 28% | 24% | 20% |
| Better | 12% | 13% | 11% | 10% |
Big Technology Companies (e.g., Amazon, Google, Meta)
| Response | 18-29 | 30-49 | 50-64 | 65+ |
|---|---|---|---|---|
| No Impact | 48% | 48% | 59% | 56% |
| Worse | 38% | 35% | 26% | 24% |
| Better | 13% | 18% | 15% | 20% |
My own personal decisions
| Response | 18-29 | 30-49 | 50-64 | 65+ |
|---|---|---|---|---|
| Better | 47% | 41% | 45% | 53% |
| No Impact | 24% | 35% | 33% | 34% |
| Worse | 29% | 25% | 22% | 13% |
Recently, Senator Bernie Sanders proposed legislation that would require artificial intelligence companies to transfer 50% of their stock to a fund owned by the American public. Do you support or oppose this proposal?
(N = 841)
Randomized split-sample experiment: this half of respondents saw the proposal attributed to Senator Bernie Sanders. Compare with the unnamed-sponsor version.
Strongly supportSomewhat supportSomewhat opposeStrongly oppose
| Response | Percent |
|---|---|
| Strongly support | 24% |
| Somewhat support | 40% |
| Somewhat oppose | 21% |
| Strongly oppose | 15% |
Demographic Crosstabs
| Response | 18-29 | 30-49 | 50-64 | 65+ |
|---|---|---|---|---|
| Strongly support | 22% | 30% | 21% | 21% |
| Somewhat support | 47% | 39% | 40% | 36% |
| Somewhat oppose | 24% | 19% | 19% | 21% |
| Strongly oppose | 6% | 11% | 19% | 23% |
Recently, a Senator proposed legislation that would require artificial intelligence companies to transfer 50% of their stock to a fund owned by the American public. Do you support or oppose this proposal?
(N = 849)
Randomized split-sample experiment: this half of respondents saw the identical proposal attributed only to “a Senator” (no name). Compare with the Sanders-attributed version.
Strongly supportSomewhat supportSomewhat opposeStrongly oppose
| Response | Percent |
|---|---|
| Strongly support | 21% |
| Somewhat support | 48% |
| Somewhat oppose | 20% |
| Strongly oppose | 12% |
Demographic Crosstabs
| Response | 18-29 | 30-49 | 50-64 | 65+ |
|---|---|---|---|---|
| Strongly support | 23% | 25% | 17% | 16% |
| Somewhat support | 58% | 44% | 49% | 46% |
| Somewhat oppose | 15% | 21% | 19% | 22% |
| Strongly oppose | 4% | 10% | 15% | 17% |
For each of the following types of companies, please indicate whether you think they do more good than harm, more harm than good, or about equal amounts of both.
(N = 1,690)
Much more good than harm
Somewhat more good than harm
About equal good and harm
Somewhat more harm than good
Much more harm than good
Much more good than harm
7%
Somewhat more good than harm
20%
About equal good and harm
37%
Somewhat more harm than good
19%
Much more harm than good
18%
Much more good than harm
4%
Somewhat more good than harm
12%
About equal good and harm
33%
Somewhat more harm than good
32%
Much more harm than good
19%
Much more good than harm
10%
Somewhat more good than harm
25%
About equal good and harm
34%
Somewhat more harm than good
20%
Much more harm than good
11%
Much more good than harm
3%
Somewhat more good than harm
7%
About equal good and harm
30%
Somewhat more harm than good
29%
Much more harm than good
31%
Much more good than harm
3%
Somewhat more good than harm
7%
About equal good and harm
37%
Somewhat more harm than good
27%
Much more harm than good
26%
Much more good than harm
8%
Somewhat more good than harm
30%
About equal good and harm
42%
Somewhat more harm than good
15%
Much more harm than good
5%
Much more good than harm
7%
Somewhat more good than harm
18%
About equal good and harm
34%
Somewhat more harm than good
24%
Much more harm than good
16%
Much more good than harm
4%
Somewhat more good than harm
3%
About equal good and harm
19%
Somewhat more harm than good
23%
Much more harm than good
52%
| Item | Much more good than harm | Somewhat more good than harm | About equal good and harm | Somewhat more harm than good | Much more harm than good |
|---|---|---|---|---|---|
| Artificial intelligence companies | 7% | 20% | 37% | 19% | 18% |
| Social media companies | 4% | 12% | 33% | 32% | 19% |
| Pharmaceutical companies | 10% | 25% | 34% | 20% | 11% |
| Casinos | 3% | 7% | 30% | 29% | 31% |
| Prediction markets (e.g., Kalshi, Polymarket) | 3% | 7% | 37% | 27% | 26% |
| Banks and financial institutions | 8% | 30% | 42% | 15% | 5% |
| Oil and gas companies | 7% | 18% | 34% | 24% | 16% |
| Tobacco companies | 4% | 3% | 19% | 23% | 52% |
Demographic Crosstabs
Artificial intelligence companies
| Response | 18-29 | 30-49 | 50-64 | 65+ |
|---|---|---|---|---|
| About equal good and harm | 40% | 38% | 35% | 35% |
| Somewhat more good than harm | 13% | 18% | 22% | 27% |
| Somewhat more harm than good | 19% | 18% | 19% | 17% |
| Much more harm than good | 19% | 18% | 16% | 16% |
| Much more good than harm | 8% | 7% | 7% | 5% |
Social media companies
| Response | 18-29 | 30-49 | 50-64 | 65+ |
|---|---|---|---|---|
| Somewhat more harm than good | 37% | 26% | 29% | 41% |
| About equal good and harm | 35% | 33% | 36% | 27% |
| Much more harm than good | 13% | 24% | 19% | 18% |
| Somewhat more good than harm | 12% | 11% | 12% | 11% |
| Much more good than harm | 3% | 7% | 4% | 3% |
Pharmaceutical companies
| Response | 18-29 | 30-49 | 50-64 | 65+ |
|---|---|---|---|---|
| About equal good and harm | 38% | 38% | 32% | 29% |
| Somewhat more good than harm | 27% | 20% | 26% | 27% |
| Somewhat more harm than good | 20% | 19% | 19% | 21% |
| Much more good than harm | 11% | 8% | 10% | 13% |
| Much more harm than good | 4% | 15% | 14% | 9% |
Casinos
| Response | 18-29 | 30-49 | 50-64 | 65+ |
|---|---|---|---|---|
| Much more harm than good | 38% | 28% | 28% | 32% |
| Somewhat more harm than good | 33% | 24% | 32% | 31% |
| About equal good and harm | 20% | 35% | 31% | 29% |
| Somewhat more good than harm | 6% | 9% | 7% | 6% |
| Much more good than harm | 3% | 4% | 2% | 2% |
Prediction markets (e.g., Kalshi, Polymarket)
| Response | 18-29 | 30-49 | 50-64 | 65+ |
|---|---|---|---|---|
| About equal good and harm | 32% | 40% | 39% | 35% |
| Somewhat more harm than good | 24% | 24% | 28% | 32% |
| Much more harm than good | 36% | 22% | 23% | 27% |
| Somewhat more good than harm | 5% | 12% | 6% | 5% |
| Much more good than harm | 3% | 3% | 4% | 2% |
Banks and financial institutions
| Response | 18-29 | 30-49 | 50-64 | 65+ |
|---|---|---|---|---|
| About equal good and harm | 41% | 44% | 41% | 41% |
| Somewhat more good than harm | 31% | 22% | 35% | 36% |
| Somewhat more harm than good | 18% | 17% | 11% | 14% |
| Much more good than harm | 9% | 8% | 6% | 7% |
| Much more harm than good | 2% | 7% | 7% | 2% |
Oil and gas companies
| Response | 18-29 | 30-49 | 50-64 | 65+ |
|---|---|---|---|---|
| About equal good and harm | 35% | 37% | 35% | 29% |
| Somewhat more harm than good | 30% | 21% | 23% | 26% |
| Somewhat more good than harm | 12% | 14% | 23% | 25% |
| Much more harm than good | 16% | 21% | 13% | 12% |
| Much more good than harm | 7% | 8% | 6% | 7% |
Tobacco companies
| Response | 18-29 | 30-49 | 50-64 | 65+ |
|---|---|---|---|---|
| Much more harm than good | 48% | 50% | 48% | 61% |
| Somewhat more harm than good | 24% | 19% | 26% | 23% |
| About equal good and harm | 22% | 24% | 18% | 11% |
| Much more good than harm | 4% | 3% | 4% | 3% |
| Somewhat more good than harm | 2% | 4% | 4% | 2% |
Survey Details
📋 1,690 United States adults 📅 June 18-19, 2026
Verasight collected data for this project from June 18-19, 2026. The sample consists of 1,690 United States adults.
The sampling criteria for this survey were:1. US resident2. Adult (age 18+)
The selection criteria for the final sample were:1. Passed all data quality assurance checks, outlined below
The data are weighted to match the May 2026 Current Population Survey on age, race/ethnicity, sex, income, education, region, and metropolitan status, as well as to a running three-year average of partisanship distributions from the Pew Research Center NPORS benchmarking surveys and population benchmarks of 2024 vote. The margin of sampling error, which accounts for the design effect and is calculated using the classical random sampling formula, is +/- 2.8%.
All respondents were recruited via email from the Verasight Community, which is composed of individuals recruited via random address-based sampling, random person-to-person text messaging, and dynamic online targeting. All Verasight community members are verified via multi-step authentication, including providing an SMS response from a mobile phone registered with a major U.S. carrier (e.g., no VOIP or internet phones) as well as within-survey technology, including verifying the absence of non-human responses with technologies such as Google reCAPTCHA v3. Those who exhibit low-quality response behaviors over time, such as straight-lining or speeding, are also removed and prohibited from further participation in the community. Verasight Community members receive points for taking surveys that can be redeemed for Venmo or PayPal payments, gift cards, or charitable donations. Respondents are never routed from one survey to another and receive compensation for every invited survey, so there is never an incentive to respond strategically to survey qualification screener questions.
To further ensure data quality, the Verasight data team implements a number of post-data collection quality assurance procedures, including confirming no duplicate respondents, verifying the absence of non-human responses, and removing any respondents who failed in-survey attention and/or straight-lining checks. Respondents that completed the survey in less than 30% of the median completion time were removed.
Unmeasured error in this or any other survey may exist. Verasight is a member of the American Association for Public Opinion Research Transparency Initiative.