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Current fears about AI are not unique but part of a recurring cycle of hysteria, similar to panics over climate change, COVID-19, and nuclear energy. These narratives thrive on the absence of proof of safety, activating social networks and leading to calls for extreme measures based on fear rather than evidence.

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AI skepticism is an effective media business model, but narratives around job losses and market bubbles are losing steam due to a lack of evidence. The resurgence of the existential risk 'doomer' narrative conveniently fills this void, offering a fresh, high-engagement angle for an audience already primed for anti-AI content.

Doomerism around AI is attributed to a deep-seated arrogance among technologists. They believe their creations will radically alter humanity ('this time is different'), ignoring the historical precedent of technology augmenting human potential and productivity, not replacing it entirely.

Political movements often require a central catastrophic narrative to justify wide-ranging regulation. As climate change predictions lose their urgency, the fear of an AI apocalypse is emerging as the new rationale for controlling the economy and the information space.

Every major communication technology has sparked a societal instinct to "control it before it controls you." Fears about AI and disinformation are not new; they echo the historical panic over heresy caused by the printing press. This reframes the current regulatory push as a predictable human reaction to disruptive innovation.

The public’s anxiety about AI didn’t form in a vacuum. Industry leaders consistently framed AI as an imminent, dangerous, job-destroying force. The public has now taken them at their word, with some reacting violently to the perceived threat.

The same group of AI alarmists have a track record of failed predictions, from GPT-2 being 'too dangerous to release' to massive job losses that never materialized. As each dire prediction is refuted by reality, the doomer narrative simply moves to the next hypothetical threat without acknowledging past errors.

Unlike previous technologies like the internet or smartphones, which enjoyed years of positive perception before scrutiny, the AI industry immediately faced a PR crisis of its own making. Leaders' early and persistent "AI will kill everyone" narratives, often to attract capital, have framed the public conversation around fear from day one.

Widespread fear of AI is not a new phenomenon but a recurring pattern of human behavior toward disruptive technology. Just as people once believed electricity would bring demons into their homes, society initially demonizes profound technological shifts before eventually embracing their benefits.

From electricity (seen as demonic) to the atomic bomb, humanity has always demonized transformative technologies. Yet, we adapt and integrate them. The current cynicism about AI fails to account for this proven track record of human resilience and problem-solving.

Throughout history, new technologies have been met with "doom and gloom" predictions that rarely materialize. The fear that email would create a "paperless society" and bankrupt paper companies is a prime example of getting it wrong. This historical perspective suggests today's most dire predictions about AI are also likely incorrect.

AI Doomerism Follows a Historical Pattern of Tech-Induced Social Panic | RiffOn