Consumer skepticism toward AI is moving from niche frustration into the mainstream. The brands that ignore it are taking on real business risk.
It has been a rough stretch for AI's public image. The technology has been booed at commencement speeches, blamed for driving layoffs, tangled in local politics over data center disputes, and dragged into literary prize controversies. A Stanford and UC Berkeley poll found that less than half of Americans think the country should be charging ahead with AI innovation. The Pope's forthcoming encyclical will address AI's implications for human dignity. The backlash that technologists kept saying would never materialize is materializing.
For companies that have rushed to integrate AI into their marketing, their products, and their customer-facing communications, this shift in public mood is no longer an abstract concern. It is a business risk with a measurable cost.
The Perception Gap Is Widening
The clearest quantitative picture of where consumer attitudes stand comes from research conducted by the IAB and Sonata Insights earlier this year. The findings revealed a significant and growing disconnect between how marketing executives perceive consumer attitudes toward AI-generated advertising and what consumers actually think. The vast majority of ad executives believed that younger consumers feel positively about AI-generated ads. In reality, less than half of those consumers said they did. That gap has widened since 2024.
The practical consequence is that brands are producing AI-assisted content under the assumption that their audiences are either neutral or positive about it, when a growing portion of those audiences are actively skeptical and increasingly vocal about it.
The Nike episode from earlier this month is a small but telling example of how that skepticism operates in practice. The company posted a social media message about tennis star Jannik Sinner that used a particular rhetorical construction, and a user on X immediately flagged it as AI writing, speculating that the brand had let a chatbot phrase slip through. Whether or not the post actually involved AI is almost beside the point. It sparked hundreds of responses and became a minor PR moment precisely because the public is now primed to notice and amplify anything that pattern-matches to AI inauthenticity. The accusation, even an incorrect one, carries weight.
Why Brands Are Particularly Exposed
The AI backlash is a broader cultural phenomenon but it hits brands harder than most other institutions for a specific reason: brand equity is built on authenticity and emotional connection, and AI is widely perceived as the opposite of both.
When a consumer senses that a company's communication has been generated by a machine, it doesn't just feel impersonal. It reads as a signal about the company's values. It suggests that the brand doesn't care enough about its relationship with customers to have a real person speak to them. It implies that efficiency was prioritized over sincerity. And in a consumer marketplace where trust is the primary asset most brands are trying to protect, that implication does damage that is difficult to quantify but very real.
Research on AI-generated content confirms that audiences who sense they are consuming machine-made material are measurably less likely to trust, engage with, or convert from it. A significant majority of Americans now report experiencing what researchers are calling AI fatigue, a growing frustration with content that feels generic, impersonal, or artificial.
The boardroom is beginning to formalize this risk. Analysis of S&P 500 annual filings found that the vast majority of major companies now disclose AI as a material business risk, with reputational damage cited most frequently. That is not legal teams filing boilerplate out of an abundance of caution. That is boards explicitly acknowledging that an AI-related misstep can trigger customer backlash, investor skepticism, and regulatory scrutiny faster than most other reputational risks.
The Brands Positioning Against It
Some companies have moved early to stake out explicitly non-AI positions in their marketing and product communication, in the same tradition that brands once staked out non-GMO or fair-trade credentials.
iHeartMedia has built a brand campaign around the slogan "Guaranteed Human," committing publicly to avoiding AI-generated personalities and music across its radio and podcast platforms. Apparel brand Aerie has pledged not to use AI-generated imagery in its marketing, framing the choice as a competitive differentiator in an industry where artificially constructed visuals have become common. Dove has made a similar commitment. Polaroid has leaned into an explicitly analog identity with marketing that positions its products as an antidote to the AI aesthetic.
Other brands have taken a lighter approach, mocking AI rather than rejecting it outright. Almond Breeze ran a campaign featuring the Jonas Brothers that poked fun at the low quality of AI-generated advertising. Equinox launched a similar campaign ridiculing AI creative production. The strategy acknowledges consumer skepticism rather than ignoring it and turns that skepticism into a brand moment.
The Harder Question
The anti-AI brand positioning carries its own risks. Committing publicly to avoid AI means actually avoiding it, and as the technology threads its way more deeply into every part of how businesses operate, maintaining that commitment becomes harder. A brand that makes a virtue of being AI-free and is later found to be quietly using it faces a trust collapse that is significantly worse than if it had never made the claim.
The more sustainable approach, according to marketers who have thought carefully about this, is a distinction between where AI is used and whether that use is visible to consumers. AI deployed behind the scenes for targeting, data analysis, personalization, and campaign optimization operates invisibly and doesn't trigger the authenticity concerns that consumer-facing AI generation does. The brands navigating this best are using AI aggressively for operational advantage while keeping their actual customer communications recognizably human.
That said, the underlying dynamic is not going away. Consumer attitudes toward AI have hardened faster than most brands anticipated, and the public's ability to detect, flag, and amplify perceived AI inauthenticity has only grown as the technology has become more familiar. The brands still treating this as a niche concern are running a risk that is becoming less niche by the week.