
A Gallup poll shows American sentiment toward generative AI has turned negative as the technology spreads into everyday products without user consent—from Instagram deepfakes to AI-generated search results.
Companies are beginning to respond: LinkedIn, Snapchat, Google, and Meta have all removed or restricted unpopular AI features within days or weeks of public outcry.
The backlash extends beyond social media to marketing (brands face criticism for AI ads) and infrastructure (protests are growing against data centers powering these systems).
What happened
Companies are responding to public anger over generative AI by removing or limiting features users never consented to. LinkedIn added a "seems like AI slop" button, Snapchat banned fully AI-generated videos from its discovery feed, Google rolled back AI image-editing on Google Earth within days of launch, and Meta disabled Instagram's deepfake tool after three days of viral criticism.
Why it matters
A Gallup poll shows Americans' growing familiarity with generative AI coincides with negative attitudes, especially among 18–29 year-olds where almost half see it as doing more harm than good. People feel exploited—their data was scraped for AI training without consent, deepfakes were enabled on their accounts, and AI answers were injected into search results they never asked for. The backlash reveals that companies rolled out features without understanding user needs, as one researcher notes: "They just roll them out and see what sticks, because nobody really knows what this is for."
What to watch
Beyond online outcry, there is growing protest against data centers that power AI tools, with Americans across the political spectrum uniting around concerns about environmental and economic damage. Brands including McDonald's and Coca-Cola faced backlash for using AI visuals in ads, and even local shops have been criticized for AI-generated promotional posters.
Frustration with generative AI has reached a breaking point for many Americans. When Meredith Broussard, a data journalism professor at New York University and author of Artificial Unintelligence: How Computers Misunderstand the World, was asked about the trend, she summarized it bluntly: "The AI revolution has happened, and everybody hates it." A recent Gallup poll backs this up, showing that as Americans have grown more familiar with generative AI, their attitudes toward it have turned increasingly negative. The discontent is strongest among young people aged 18 to 29, where almost half view generative AI as doing more harm than good.
The core grievance is consent. Users woke up to find that their online data had been scraped en masse to train AI models, that Instagram had enabled deepfake creation without permission, and that Google was inserting AI-generated answers atop search results they never asked for. As Broussard told WIRED, "Consent is really important. We can connect that to the way that women, queer people, people of color, and minorities get exploited and abused online. Tech companies have never really been sensitive to issues of consent." The sense of powerlessness—that the AI revolution is something happening to people rather than something they chose—has fueled resentment.
Public backlash is proving effective at forcing reversals. LinkedIn introduced a "seems like AI slop" button to flag AI-generated content, Snapchat announced that fully AI-generated videos would no longer appear in its discovery feed, and Substack added AI detection tools to monitor writers. Most strikingly, Google rolled back its new AI image-editing feature for Google Earth almost immediately after launch, following reporting by 404 Media. Meta disabled Instagram's deepfake tool after just three days of viral criticism, with millions of users sharing videos condemning the feature. As Nick Seaver, an associate professor of anthropology at Tufts University, observed, "They just roll them out and see what sticks, because nobody really knows what this is for." That approach is backfiring.
The backlash extends into marketing and infrastructure. Major brands—McDonald's and Coca-Cola among them—faced public anger for incorporating AI visuals into advertisements, and even local shops drew criticism for using AI-generated posters to promote events. Beyond that, a new front has opened: protests against data centers. Emily Bender, coauthor of The AI Con, notes that data centers are critical focal points of environmental and economic damage. Americans across the political spectrum have recently begun uniting in opposition to new data center construction, suggesting that infrastructure and environmental concerns may prove harder for the industry to overcome than backlash against individual features.
The AI backlash reflects a fundamental breach of trust between tech companies and users. For years, companies have rolled out generative AI features as experiments—launching them to see what sticks, in the words of one researcher—without addressing whether users actually wanted them or consented to the underlying data collection. The Gallup poll showing negative sentiment among younger Americans (almost half of 18–29 year-olds view AI as harmful) suggests this backlash crosses demographics and is not a fringe complaint.
What is striking is how quickly public pressure is producing tangible results. Google rolled back its AI image-editing tool on Google Earth almost immediately after launch; Meta disabled Instagram's deepfake tool after just three days of viral criticism. This suggests companies are vulnerable to coordinated user pushback when the features are sufficiently egregious or visible. The consent issue, as highlighted by researchers, connects to broader patterns of how tech companies have historically exploited marginalized groups online without meaningful safeguards.
The protests against data centers reveal that the backlash is moving beyond individual features into infrastructure and environmental concerns. The fact that Americans across the political spectrum have united in opposing data center projects signals that AI's externalities—environmental damage, energy consumption, and economic disruption—are emerging as shared grievances that may prove harder for companies to dismiss than complaints about a single feature.
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