By name: 81k-ai-expectations description: Methodology for understanding how users use AI, what they dream it could enable, and what they fear based on Anthropic's large multilingual qualitative study. category: ai_collection tags: [anthropic, societal-impacts, ai-expectations, qualitative-study, user-research]
What 81,000 People Want from AI
Description
Methodology from Anthropic's largest multilingual qualitative study (March 2026) — understanding how users use AI, what they dream it could enable, and what they fear.
Activation Keywords
- 81k interviews
- AI expectations
- user research
- qualitative study
- AI fears
Core Methodology
- 81,000 participants — largest and most multilingual qualitative study of its kind
- Open-ended responses from Claude.ai users
- Three dimensions: current use, future dreams, fears
Key Findings
- Covers user expectations, economic impacts, and societal concerns
- Multilingual approach captures global perspectives
- Reveals tension between AI's potential benefits and risks
Tools Used
readwriteweb_search
Instructions for Agents
Use this skill to structure analysis of large-scale AI user expectations, including current usage, future hopes, and concerns. Separate empirical findings from interpretation, and call out demographic or sampling limits when applying the study to a product or policy question.
Examples
User: Analyze user expectations for an AI assistant launch.
Agent: I will organize the analysis around current uses, future dreams, fears, and sampling limitations.