The widespread belief that social media made the world worse, despite initial optimism, has eroded public trust in technology as inherent progress. This "hangover" from the last tech wave creates a default environment of skepticism for AI, making positive perception significantly more challenging.

Despite leading the world in AI development, the American public is the least enthusiastic about the technology, according to a survey of 19 developed countries. This widespread skepticism and potential for a political backlash could act as a significant and unforeseen brake on AI adoption and implementation.

Widespread fear of AI is not based on direct experience with the technology, but is a carry-over of the public's negative experience with social media. The tech industry's failure to curb addiction, polarization, and harm to teens has created a deep trust deficit that AI now inherits.

Public opposition to AI is rising because the industry has focused on dystopian warnings and abstract potential while failing to communicate tangible benefits to the average person. Unlike social media, which offered immediate gratification, AI's value proposition is unclear to many, making them receptive to negative narratives.

Despite being a leader in AI development, the US has significant negative public sentiment. This skepticism contrasts with more positive views in China and Europe and could hinder AI adoption, funding, and favorable regulation, creating a unique challenge for the industry's leaders.

AI is experiencing a political backlash from day one, unlike social media's long "honeymoon" period. This is largely self-inflicted, as industry leaders like Sam Altman have used apocalyptic, "it might kill everyone" rhetoric as a marketing tool, creating widespread fear before the benefits are fully realized.

Previously separate concerns—populist anger over data centers and technocratic AI safety fears—collided after high-profile incidents. This created a powerful, unified coalition advocating for stricter AI regulation, merging two distinct streams of anti-AI sentiment.

Unlike the early internet era led by new faces, the AI revolution is being pushed by the same leaders who oversaw social media's societal failures. This history of broken promises and eroded trust means the public is inherently skeptical of their new, grand claims about AI.

Widespread distrust of AI isn't just fear; it's a justified reaction to the negative societal impacts of previous tech waves like social media. Leaders should view this skepticism as a productive force that demands more responsible and thoughtful AI implementation, not as an obstacle to be dismissed.