According to Andrew Ng (@AndrewYNg), citing separate reports from Edelman and Pew Research, a significant portion of the U.S. and broader Western populations remain distrustful and unenthusiastic about AI adoption. Edelman’s survey found that 49% of Americans reject AI use while only 17% embrace it, contrasting sharply with China, where just 10% reject and 54% embrace AI. Pew’s data reinforces this trend, showing greater AI enthusiasm in many countries outside the U.S. This widespread skepticism poses concrete challenges for AI business growth: slow consumer adoption, local resistance to AI infrastructure projects (such as Google’s failed Indiana data center), and heightened risk of restrictive legislation fueled by public distrust. The main barrier cited by U.S. respondents for not using AI is lack of trust (70%), outweighing access or motivation concerns. Ng stresses that the AI industry must focus on transparent communication, responsible development, and broad-based benefits—including upskilling and practical applications—to rebuild trust and unlock market opportunities. Excessive hype and sensationalism, especially from within the AI community and media, have fueled public fears and must be addressed to prevent further erosion of trust. (Sources: Edelman, Pew Research, Andrew Ng via deeplearning.ai, Twitter)

According to @godofprompt on Twitter, there is significant public sentiment expressing strong negative opinions towards Sam Altman, CEO of OpenAI. This backlash emerges as OpenAI continues to accelerate its influence in the artificial intelligence sector, driving rapid adoption of generative AI tools in both enterprise and consumer markets (source: @godofprompt, 2025-11-07). The controversy highlights a growing divide within the AI community regarding leadership decisions, transparency, and ethical governance. For AI businesses, this presents both risks and opportunities: companies must navigate evolving public perceptions while leveraging the heightened attention on AI advancement to differentiate through trust, safety, and innovation.

According to Andrew Ng's recent response to Chris Manning's tweet, top AI leaders are increasingly participating in public social media discussions that blend humor with artificial intelligence topics. This trend, highlighted on X (formerly Twitter), demonstrates how influential figures are using relatable content to foster broader engagement in the AI community (source: Andrew Ng, X, Nov 2, 2025). Such interactions help demystify AI, making it more accessible to a wider audience and promoting positive sentiment. For AI businesses, leveraging social media engagement and thought leadership can drive brand awareness, attract talent, and build trust with stakeholders, as shown by the active presence of Andrew Ng and Chris Manning.