Research from Duncan Watts shows the bigger societal issue isn't fabricated facts (misinformation), but rather taking true data points and drawing misleading conclusions (misinterpretation). This happens 41 times more often and is a more insidious problem for decision-makers.

OpenAI's previous dismissal of advertising as a "last resort" and denials of testing ads created a trust deficit. When the ad announcement came, it was seen as a reversal, making the company's messaging appear either deceptive or naive, undermining user confidence in its stated principles of transparency.

Consumer fear of GMOs is entrenched and funded, making education efforts ineffective. A better strategy is to use newer technologies like AI-driven breeding or CRISPR to achieve the same goals without triggering irrational consumer backlash, effectively sidestepping the debate.

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.

The gap between AI believers and skeptics isn't about who "gets it." It's driven by a psychological need for AI to be a normal, non-threatening technology. People grasp onto any argument that supports this view for their own peace of mind, career stability, or business model, making misinformation demand-driven.

Public resistance to frontier tech like AI and genetics is driven by abstract sci-fi narratives. The most effective antidote is direct product experience. Using ChatGPT makes 'Terminator' seem ridiculous, just as seeing embryo selection software demystifies the 'Gattaca' narrative.

The IVF company Nucleus ran a subway campaign with provocative slogans like 'Have your best baby' to deliberately anger a segment of the population. This 'rage bait' strategy manufactures virality in controversial industries, leveraging negative reactions to gain widespread attention that would otherwise be difficult to achieve.

The AI debate is becoming polarized as influencers and politicians present subjective beliefs with high conviction, treating them as non-negotiable facts. This hinders balanced, logic-based conversations. It is crucial to distinguish testable beliefs from objective truths to foster productive dialogue about AI's future.

In the past, with few media channels, the goal was defensive message control. Today, with infinite platforms, the strategy is offensive. Founders should focus on being consistently interesting rather than fearing a single misstep, as they can always 'flood the zone' with new content to correct the narrative.