Polls showing negative sentiment towards AI are misleading and easily manipulated. The real signal is behavior. Like people who claim to dislike social media but use it daily, consumers are adopting AI tools at an unprecedented rate, with high usage and retention. This 'revealed preference' trumps survey answers.

The narrative that users hate targeted ads is contradicted by their actions. When Meta offered an ad-free subscription in Europe, only 1% of users opted in. This demonstrates a strong revealed preference for free, ad-supported services, even if the ads are perceived as hyper-targeted.

Countering the idea that users trade privacy for utility, Meredith Whittaker argues the trade-off is for a more fundamental human need: inclusion. People use insecure platforms not just for convenience, but because that is where social life happens. Opting out means choosing isolation, making it a coerced choice.

Sreedhar Ramaswamy's search engine startup, Neva, failed because it was only "marginally better." The crucial lesson is that consumer products need a dramatically improved experience to win. Features like enhanced privacy aren't compelling on their own, as consumers often subscribe to the idea rather than acting on it.

Surveys show public panic about AI's impact on jobs and society. However, revealed preferences—actual user behavior—show massive, enthusiastic adoption for daily tasks, from work to personal relationships. Watch what people do, not what they say.

While consent is the legal starting point for data collection, it is insufficient for building trust. Brands must go further by focusing on customer *preference*—an ongoing understanding of what users want and find valuable. This enables personalization that feels helpful rather than intrusive.

To win mainstream adoption, privacy-centric AI products cannot rely on privacy alone. They must first achieve feature parity with market leaders like ChatGPT. Users are unwilling to sacrifice significant convenience and productivity for privacy, making it a required, but not differentiating, feature.

Observing users in their own environment reveals truths that surveys miss. A consumer might claim they never buy a certain brand, but a look in their cupboard proves otherwise. This direct observation is crucial for uncovering real user habits, moving beyond claimed data to understand actual behavior.

To earn consumer data, brands must offer a clear value exchange beyond vague promises of "better experiences." The most compelling benefits are tangible utilities like time savings and seamless cross-device continuity, which are often undervalued by marketers.