A new poll reveals a surprising and intense level of public animosity, with artificial intelligence now viewed more negatively than the controversial U.S. Immigration and Customs Enforcement agency. The findings suggest that widespread frustration with poorly implemented AI tools is translating into deep-seated distrust. The survey asked respondents to rate their feelings toward various entities on a scale. AI scored an average rating, indicating a net negative sentiment. This placed it below ICE, which also received a negative score but was still viewed less poorly than AI. Other institutions like the National Rifle Association and the Federal Reserve also appeared on the list, but AI’s strong negative rating captured significant attention. Analysts interpreting the data point to the daily, tangible frustrations the public experiences with AI as a key driver. Unlike a government agency whose actions may feel distant to many, people encounter clumsy AI chatbots, unreliable automated customer service, and concerns over AI-generated misinformation and art on a regular basis. This constant exposure to malfunctioning or poorly designed applications has fostered a sense of irritation and skepticism. The technology is often seen as a cost-cutting measure that degrades service quality rather than a helpful innovation. Furthermore, the cultural conversation around AI contributes to the fear. Persistent warnings about existential risk, job displacement from automation, and the unchecked power of large tech companies fuel a narrative of threat. When these abstract fears are combined with personal experiences of AI failures, the result is a potent mix of annoyance and anxiety. The poll indicates that this sentiment is widespread across different demographic groups. For the crypto and Web3 community, these findings serve as a crucial case study in technology adoption and public perception. The blockchain space faces its own challenges with user experience, jargon, and speculative misuse. The AI poll is a stark reminder that technological capability alone is insufficient. If a technology consistently delivers poor user experiences or is perceived as primarily serving corporate interests over public good, a powerful backlash can form. The lesson is that trust and utility must be built through transparent, reliable, and genuinely useful applications. For developers in both AI and crypto, prioritizing seamless integration that solves real problems without alienating users is paramount. The poll suggests the public’s patience for disruptive technology that feels invasive or broken is wearing thin. The next phase for both fields may depend less on raw technological prowess and more on thoughtful implementation that earns public confidence through demonstrable benefit and ethical consideration.
