74Signal
Score
F
FastCompanyby Rob WalkerMay 8, 2026

AI’s got a brand problem. The CEOs aren’t helping

The article highlights that major AI brands, including OpenAI and Anthropic, are struggling with public perception due to their fear-based marketing strategies. To improve brand strategy, these companies should shift their messaging to emphasize the positive impacts of AI, rather than focusing on its potential dangers, in order to foster a more optimistic view among consumers.

◎ EmergingstrategydigitalOpenaiAnthropicGoogle Deepmind

FastCompany: Artificial intelligence—surely the most hyped technological development to seize the spotlight in a generation—does not appear to be very popular with the American public. A clear majority recognize AI is a big deal, but recent Pew Research Center polling found more concern than excitement, particularly in its impact on creativity and relationships. Quinnipiac surveys find opinions souring even as usage rises. It’s associated with job losses, cheating, dubious advice, excessive energy consumption, and a variety of doomsday scenarios up to and including the eradication of humanity.

In March, 57% of respondents to an NBC poll said the risks associated with the technology simply aren’t worth the potential benefits. There are plenty of reasons for this, but one is surely the messaging coming from some of the biggest AI brands themselves, particularly from their leaders. Last month, for example, AI giant Anthropic announced it would limit access to its new Mythos cybersecurity tool because it was just too powerful for wider release, which might put it in the hands of criminals or other bad actors.

Sam Altman, CEO of rival OpenAI snarked that this was “fear-based marketing .” But not long after, OpenAI released its own new security tool—and restricted access to it . That’s just a recent example of an odd element of the entire category: AI firms seem intent on reminding customers at every product drop how the technology might ruin our lives. Sure, it’s part of the hype cycle. And to some extent the big AI brands are performing a responsibility flex . But maybe the public’s increasingly sour response to AI suggests these CEOs’ insistence on telling us how dangerous their product might be is not a winning brand strategy.

(Altman’s home being literally attacked with a Molotov cocktail is probably not a great sign .) This noisy pessimism isn’t isolated, or new. When it rolled out GPT-4 back in March 2023, OpenAI published a technical report that, alongside descriptions of a historic leap in capability, included a section dedicated to its potential for misuse to make bombs or mix dangerous chemicals. Soon after, hundreds of AI researchers and executives, including figures from Anthropic, Google DeepMind, and OpenAI itself, signed an open letter warning that AI posed extinction-level risks comparable to nuclear war.

Many AI executives have claimed to want government oversight. As Elon Musk’s current legal battle with OpenAI is reminding us , the company was actually founded as a nonprofit precisely because the technology was perceived as too risky to be shaped solely by the move-fast-and-break-things profit motive. Obviously, these companies should not suppress the potential dangers and risks of their products, but at some point you have to wonder whether the companies’ marketing pros are letting fear and doom define their brands.

While there was a slew of AI-related advertising in this year’s Super Bowl, much of it was so big-picture about AI’s potential (“ You can just build things ”) that it didn’t really stick. Meanwhile, on a more day-to-day level, the specific consumer benefits we hear about don’t seem transformative—summarized meeting transcripts, improved chatbots, tools that make it easier to generate an image of yourself as a superhero, and so on.

Article truncated for readability. Read the full piece →

Intelligence PanelSignal score: 74 / 100
Primary Signal
Emerging
Building momentum — trajectory being tracked
Brand Impact
High
Impact score: 75/100 — broad strategic implications for brand positioning
Novelty
Moderate
Novelty: 60/100 — iterative development of an existing theme
Action Priority
Soon
Flag for the next strategic review cycle
Scoring Rationale

The article addresses a significant issue in the branding of AI companies, which is crucial for brand strategy professionals, while also suggesting a shift in messaging that is relevant but not entirely groundbreaking.

75
Impact
weight 35%
60
Novelty
weight 30%
85
Relevance
weight 35%
Brands Mentioned
OOpenaiAAnthropicGGoogle DeepmindAAppleNNetflix
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