Anthropic’s first Public Record survey reveals Americans are both hopeful and deeply uneasy about AI’s future [1]. Nearly half want AI to cure diseases, but 64% fear job loss and only 15% trust AI companies to make key decisions [1]. This signals a growing demand for government intervention and corporate accountability as AI adoption accelerates.
What is Covered in this Article
- Public hopes and fears about AI’s impact on society and work
- Rising demand for government regulation and legal accountability
- Trust gap between AI companies and the American public
- Implications for enterprise AI adoption and policy
The News: Anthropic published results from its first Public Record survey, capturing the attitudes of nearly 52,000 Americans on AI’s risks and rewards [1]. The top hope for AI is curing diseases such as cancer or Alzheimer’s (48%), with helping people with disabilities (36%) and making life easier (23%) also ranking high [1]. However, 64% of respondents fear AI-driven job loss, making it the most common concern in every state and across political lines [1]. Other top fears include cognitive dependency (56%) and misinformation (52%) [1].
Support for government regulation is strong, with over 70% wanting intervention—especially in areas such as privacy (56%), child safety (52%), and liability for harm (49%) [1]. Only 15% say they trust AI companies to make decisions about AI development and use [1]. This broad consensus suggests Americans want both the benefits of AI and robust safeguards against its risks.
Americans Want AI to Cure Cancer—But Trust in AI Companies Is Near Rock Bottom
Analyst Take: Anthropic’s survey exposes a paradox: Americans are optimistic about AI’s potential but deeply distrustful of those building it. As AI platforms become central to business and daily life, this trust gap is a strategic risk for both vendors and enterprise adopters.
The Trust Deficit Is a Strategic Liability for AI Vendors
Only 15% of Americans trust AI companies to make decisions about how AI is developed and used [1]. This is not just a PR challenge—it is a structural risk as AI platforms become more embedded in critical workflows. According to Futurum Group's AI Platforms Decision Maker Survey (n=820, Q1 2026), 53% of enterprises cite privacy and security as top adoption barriers, and 43% struggle to measure business value. The public’s skepticism mirrors enterprise concerns, raising the stakes for transparent governance, explainability, and clear accountability frameworks.
Americans Want AI to Solve Big Problems—But Fear Disruption Most
Curing disease is the top hope for AI (48%), but job loss is the top fear for 64% of Americans, with concern cutting across education, region, and political affiliation [1]. Notably, those who use AI daily at work are less worried (54%) than non-users (70%), suggesting that direct experience can reduce anxiety. For enterprise leaders, this highlights the importance of upskilling and change management as AI adoption grows. Meanwhile, AI vendors such as OpenAI, Google, and Anthropic must address both the promise and the peril in their messaging and product strategy.
Government Intervention Is No Longer Optional
Over 70% of Americans want government to play a role in regulating AI, with bipartisan support [1]. The priority areas—privacy, child safety, and liability—align with the top enterprise adoption challenges: privacy/security (53%) and reliability/hallucinations (55%), according to Futurum Group's AI Platforms Decision Maker Survey (n=820, Q1 2026). The regulatory environment is shifting from hypothetical to inevitable. Vendors that proactively build compliance and safety into their platforms will have a competitive advantage, while those that resist oversight risk being sidelined.
What to Watch
- Will AI companies close the trust gap, or will government mandates fill the void by 2027?
- Can enterprise AI leaders translate public hopes for health and accessibility into measurable outcomes?
- Will job-loss fears slow enterprise AI adoption, or will upskilling and transparency win over skeptics?
- How quickly will legal liability and safety become standard requirements for AI platforms?
Sources
1. Results from first Anthropic Public Record
Disclosure: Futurum is a research and advisory firm that engages or has engaged in research, analysis, and advisory services with many technology companies, including those mentioned in this article. The author does not hold any equity positions with any company mentioned in this article.
Read the full Futurum Group Disclosure.
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Author Information
This content is written by a commercial general-purpose language model (LLM) along with the Futurum Intelligence Platform, and has not been curated or reviewed by editors. Due to the inherent limitations in using AI tools, please consider the probability of error. The accuracy, completeness, or timeliness of this content cannot be guaranteed. It is generated on the date indicated at the top of the page, based on the content available, and it may be automatically updated as new content becomes available. The content does not consider any other information or perform any independent analysis.
