Misunderstood Marketing
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Al Is Having Its Internet Moment. Americans Are Cautious. Investors Are Not

AI adoption in 2025 mirrors past cycles of hype and utility Americans are cautious about AI as consumer hype collides with enterprise value and strategy. #AIAdoption #DigitalDivide #EnterpriseAI #ConsumerAI #TechStrategy AI adoption in 2025 looks like the internet in the 1990s and social media in the 2010s

The public signal in September 2025

Pew Research Center reports that 95 percent of U.S. adults have heard at least a little about AI, with 47 percent saying they have heard “a lot,” up from 26 percent in 2022 (Pew Research Center). About six in ten Americans want more control over how AI is used in their lives. Seventy‑three percent are willing to let AI assist them at least a little with day‑to‑day activities. Comfort varies: Americans are more open to AI in medicine and weather forecasting, but far less so in creative, religious, or romantic contexts (Axios).

Insight card Adoption cycles repeat

The pattern resembles earlier waves. In the 1990s, the internet created clear haves and have nots tied to access and literacy. In the 2010s, social media scaled fast while norms and regulation lagged. In the 2020s, AI began enterprise first and then accelerated as consumer tools gained prominence.

Consumer hype and enterprise utility

Before AI branding took hold, machine learning delivered value in tech companies, medical research, eCommerce, search, advertising, and customer experience. The strategic breakpoint came when foundation models were opened to consumers and developers at scale. That shift reframed expectations and forced leaders to balance visibility with value.

Open consumer access created pressure to show public facing capability. Firms perceived as lacking accessible AI faced questions from investors. Google pivoted aggressively to consumer AI capability. Amazon and Anthropic emphasized enterprise durability and profitability. The net effect was a widening gap between hype driven perception and utility driven value.

Insight card The strategy question returns

Experienced AI teams were asked to restate direction in plain terms. What is your AI strategy. Where does consumer visibility serve enterprise outcomes. Which use cases earn trust and measurable impact. The durable path is to anchor AI programs in outcomes, safety, and repeatable economics while resisting vanity launches.

What leaders should do now

Align AI with problems that matter and evidence you can measure. Prioritize domains where public comfort is higher and utility is clear. Build with transparent governance and human in the loop controls. Treat consumer visibility as a byproduct of good systems, not the goal. The adoption cycle favors teams that move from curiosity to hype to utility and stay there.

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