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.

A strange dynamic exists where the tech leaders building AI are also the loudest voices warning of its potential to destroy humanity. This dual narrative of immense promise and existential threat serves to centralize their power, positioning them as the only ones who can both create and control this technology.

Leaders in AI and robotics appear to accept the risks of creating potentially uncontrollable, human-like AI, exemplified by their embrace of a 'Westworld' future. This 'why not?' attitude suggests a culture where the pursuit of technological possibility may overshadow cautious ethical deliberation and risk assessment.

Critics argue that proposals like 'AI 2040,' which advocate for government action to slow AI development, are dangerous. They propose granting governments unprecedented surveillance and control to fight a fictional threat, creating a tangible risk of authoritarian abuse that is worse than the problem it aims to solve.

Tech leaders, while extraordinary technologists and entrepreneurs, are not relationship experts, philosophers, or ethicists. Society shouldn't expect them to arrive at the correct ethical judgments on complex issues, highlighting the need for democratic, regulatory input.

AI leaders often use dystopian language about job loss and world-ending scenarios (“summoning the demon”). While effective for fundraising from investors who are "long demon," this messaging is driving a public backlash by framing AI as an existential threat rather than an empowering tool for humanity.

The narrative around advanced AI is often simplified into a dramatic binary choice between utopia and dystopia. This framing, while compelling, is a rhetorical strategy to bypass complex discussions about regulation, societal integration, and the spectrum of potential outcomes between these extremes.

The tech industry often builds technologies first imagined in dystopian science fiction, inadvertently realizing their negative consequences. To build a better future, we need more utopian fiction that provides positive, ambitious blueprints for innovation, guiding progress toward desirable outcomes.

Due to extreme uncertainty and a lack of real-time data, discussions about AI's future, even among top executives, are fundamentally about storytelling. The void of concrete knowledge is being filled by narratives of either utopia or dystopia, making the discourse more literary than purely analytical.