消费者情绪如何演变:关于生成式AI 跟踪客户感知中的持续挑战
2024-10-08 05:09

Investment Rating - The report does not explicitly provide an investment rating for the industry. Core Insights - The report tracks consumer sentiment towards generative AI, highlighting significant challenges such as low knowledge levels, lack of trust, and a strong demand for transparency [2][12][35]. - There has been a notable increase in awareness and usage of generative AI tools, with a 40% rise in usage from February to April 2023 [8][11]. - Trust in AI-generated content is gradually improving, although it remains low, with 54% of users considering AI content less trustworthy than human-generated content [12][14]. Summary by Sections Consumer Knowledge and Usage - Awareness of generative AI has increased, with 61% of respondents reporting low knowledge, down 8 percentage points since February [5]. - Usage of generative AI tools rose from 10% in February to 14% in April, indicating a 40% increase [8][11]. Trust and Concerns - Trust in AI-generated content is low, with 54% of users believing it is less trustworthy than human content [12]. - Concerns about fraud and hacking are prevalent, particularly among advanced users, with worries about job displacement remaining significant [18][19]. Emotional Response and Contextual Perception - Consumer sentiment towards generative AI is polarized, with significant excitement and concern [15][18]. - Acceptance of AI-generated content varies by application context, with lower acceptance in creative fields like music and film [25][26]. Disclosure and Transparency - A majority of consumers (86%) believe it is crucial for companies to disclose the use of AI-generated content [32]. - Companies face challenges in balancing transparency with consumer expectations, particularly in sensitive areas like music and political advertising [35]. Future Implications - Companies must prioritize customer experience in their generative AI strategies to enhance operational efficiency and consumer trust [33]. - Engaging consumers in the development process of generative AI tools can foster better understanding and acceptance [36].