The most pressing danger from AI isn't a hypothetical superintelligence but its use as a tool for societal control. The immediate risk is an Orwellian future where AI censors information, rewrites history for political agendas, and enables mass surveillance—a threat far more tangible than science fiction scenarios.

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.

The public discourse on AI is fixated on negative outcomes like job displacement and bubbles. There is a notable absence of a clear, compelling vision for what a positive, constructive, and abundant future with AI actually looks like for society.

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.

As AI surpasses human capabilities, the real danger is a societal paralysis where people stop creating and learning, believing their efforts are pointless. We may need to consciously choose to do things ourselves, even sub-optimally, to preserve our humanity.

The true, lasting impact of AI is not just in automating tasks but in fundamentally changing how humans perceive and interact with the future. By making outcomes more predictable, AI alters our core frameworks for decision-making and risk assessment, a profound societal shift that is currently under-recognized.

Pessimistic AI forecasts often underestimate society's capacity to react. Just as with COVID-19, once the dangers of advanced AI become tangible and obvious in the present—not just a future extrapolation—humanity's collective self-preservation instinct will likely drive swift and decisive regulatory action.

AI systems often collapse because they are built on the flawed assumption that humans are logical and society is static. Real-world failures, from Soviet economic planning to modern systems, stem from an inability to model human behavior, data manipulation, and unexpected events.

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.