消费型人工智能助手市场中的平台选择、信任与隐私
Platform Choice, Trust, and Privacy in the Consumer AI Assistant Market
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中文总结 AI 辅助
研究美国成年AI助手用户在平台选择、任务分配、信任评估及隐私重视方面的情况，发现市场集中且内部有别，任务分配受平台主导，信任靠使用积累，隐私担忧普遍但行动受知识制约。
中文摘要 AI 辅助
本文研究了美国成年人工智能助手用户（n = 1999；2026年6月）在平台间的选择方式、任务分配、对供应商可信度的评估以及对数据处理功能的重视程度。通过外部采用基准对估计值进行加权以反映人工智能用户群体。出现了四种模式。市场集中但内部有差异：ChatGPT是58%用户的主要助手，Gemini为25%，小平台也有可守的任务细分领域。任务分配更多由平台而非用户组织，技术使用随年龄急剧下降。信任通过使用而非声誉获得。隐私担忧普遍，但行动受知识而非担忧限制，在选择实验中用户为避免人类参与对话支付最多。
英文摘要
We study how a representative sample of United States adult AI-assistant users (n=1,999; June 2026) choose among platforms, allocate tasks across them, evaluate provider trustworthiness, and value data-handling features. Estimates are weighted to the AI-user population using external adoption benchmarks. Four patterns emerge. The market is concentrated but internally differentiated: ChatGPT is the primary assistant for 58% of users and Gemini for 25%, yet smaller platforms hold defensible task niches--Claude captures a third of coding tasks despite a 7% overall share. Task allocation is thus organized by platform far more than by user, and technical use falls steeply with age. Trust is earned through use rather than reputation: Claude is ranked most trustworthy in every head-to-head among users of both platforms, and shows by far the largest gap between how its users and non-users rate it. Finally, privacy concern is near-universal but action is gated by knowledge, not concern; in a choice experiment users pay most to keep humans--not models--out of their conversations ($11.20/month), with valuations rising in task sensitivity.
