If you found yourself staring at your screen recently, wondering why that Underdog fantasy sports ad looked so unsettling, you were not alone. The underdog ai ads that started circulating in late 2025 triggered an immediate, visceral reaction across social media, forums, and streaming platforms. Viewers described the spots as creepy, trash, and exhausting. This article breaks down exactly what Underdog released, why consumers rejected it so forcefully, what the company hoped to gain, and what every brand considering AI-generated creative in 2026 needs to learn from the fallout.
Table of Contents
- What Are the “Underdog AI Ads”? A Breakdown of the Campaign
- The Consumer Backlash: Why Viewers Are Calling It “Creepy” and “Trash”
- The Counterargument: Is Underdog “Using AI in Exactly the Right Way”?
- The Missing Metrics: Does Anyone Know If These Ads Actually Work?
- Regulatory and Platform Policy Blind Spots
- 5 Lessons for Brands Considering AI-Generated Ads in 2026
- Conclusion: The Underdog AI Ad Is a Case Study, Not a Template
What Are the “Underdog AI Ads”? A Breakdown of the Campaign
Underdog, a fantasy sports and gaming platform that has grown rapidly through aggressive marketing, released an advertising campaign in late 2025 that was generated entirely using artificial intelligence tools. The production timeline was remarkably short. According to company representative Shah, quoted in an EGR North America article, the campaign took approximately four weeks from concept to completion, a fraction of the time required for traditional commercial production.
The ads themselves feature the hallmarks of early generative AI video: surreal, uncanny-valley imagery that viewers immediately flagged as synthetic. One spot prominently includes poodle puppies rendered with that telltale AI smoothness, while others show human figures with distorted facial features and unnatural movements. These visual artifacts made the ads instantly identifiable as machine-generated, sparking conversations across platforms about what audiences were actually seeing.
The campaign was not positioned as a one-off experiment. Underdog framed the move as part of a deliberate strategy to become what EGR North America described as an “AI-native company,” suggesting a long-term commitment to integrating artificial intelligence into their marketing and operations. A celebrity variant featuring professional golfer Bryson DeChambeau also exists, but the fully AI-generated versions have dominated public discussion and criticism, largely overshadowing any traditional creative the brand may have produced.
The Consumer Backlash: Why Viewers Are Calling It “Creepy” and “Trash”
The negative response to the underdog ai ads was not a fringe opinion confined to a few social media posts. It was broad, loud, and remarkably consistent across multiple platforms, revealing deep-seated consumer frustration with AI-generated content in advertising.
The Uncanny Valley Effect in Advertising
When viewers encounter AI-generated humans and animals in commercials, something in the brain rejects the image before conscious analysis even begins. This phenomenon, known as the uncanny valley, describes the discomfort people feel when artificial representations appear almost human but fall short in subtle, disturbing ways. Glassdoor community comments about the Underdog campaign used the word “creepy” repeatedly, with users reporting genuine fatigue from encountering AI commercials during streaming sessions.
The Reddit community r/CommercialsIHate, a forum dedicated to critiquing bad advertising, developed active threads specifically mocking the “obvious fake or even AI ads” featuring the poodle puppies. Commenters dissected the visual glitches, the unnatural lighting, and the hollow quality of the generated imagery. The consensus was clear: the ads did not entertain or persuade. They unsettled. For a brand trying to build trust with users who deposit real money onto a gaming platform, that reaction is a serious problem.
Fatigue with AI-Generated Commercials
The Underdog campaign did not arrive in a vacuum. By late 2025, consumers had already been subjected to a growing wave of AI-generated content across social media, streaming platforms, and even traditional television. A Threads user captured the mood bluntly, calling the Underdog ad “trash” and stating they had “zero need” for companies producing pure AI videos. The comment resonated because it articulated a sentiment many viewers shared but had not expressed so directly.
The cultural anchor for this fatigue is a YouTube video titled “AI Advertising is Out of Control,” published by the creator penguinz0, which had accumulated over 1.36 million views and nearly 60,000 likes by August 2025. The video catalogs the explosion of AI-generated ads across platforms and serves as a rallying point for consumers who feel their viewing experience is being degraded. Underdog walked directly into this existing frustration, and the backlash reflected accumulated annoyance rather than a fresh reaction to a single campaign.
The “Deceptive Ad” Association
Perhaps the most damaging dynamic for Underdog is guilt by association. The penguinz0 video and numerous Reddit threads explicitly link AI-generated advertising to a wave of drop-shipping scams and deceptive products. These include AI-generated ads for “Pandy,” a plush panda toy that consumers claim never arrives as advertised, and the bizarre “Baker’s Semen Booster,” a sexual wellness supplement promoted through synthetic video content. These products, often sourced from platforms like AliExpress and marketed through AI-generated creative, have trained consumers to associate AI ads with fraud.
The YouTube transcript further highlights how AI ads disproportionately target vulnerable audiences, including elderly people on Facebook and parents shopping for children. Underdog, as a legitimate, regulated fantasy sports platform, now finds its creative approach lumped together with outright scams. The visual language of AI generation has become a trust signal in reverse. When consumers see that glossy, slightly-off AI aesthetic, many now assume the product behind it is fake, regardless of whether that assumption is fair.
The Counterargument: Is Underdog “Using AI in Exactly the Right Way”?
Not everyone condemned the campaign. A LinkedIn post from Daniel Pearson, an industry professional, offered the most prominent positive perspective on the underdog ai ads. Pearson praised David Gamboa and the Underdog team, arguing they are “using AI in exactly the right way.” The post frames the campaign as a forward-thinking embrace of technology that allows marketing teams to produce a high volume of creative content rapidly, testing different messages and visuals at a scale that traditional production budgets would never permit.
The core argument in favor of Underdog’s approach is straightforward: speed and volume matter in modern digital advertising. AI tools enable a marketing team to generate dozens of ad variations, iterate on performance data, and deploy new creative continuously without the logistical overhead of shoots, talent, and post-production. For a company that spends heavily on customer acquisition, the cost savings could be substantial. EGR North America’s framing of Underdog as an “AI-native company” reinforces this perspective, suggesting the campaign is not a gimmick but a strategic repositioning of how the entire organization operates.
However, a critical gap remains in this counterargument. No official statement or defense has been published by Underdog leadership addressing the backlash directly. The positive narrative is driven entirely by third parties, primarily Pearson’s LinkedIn post and the EGR North America coverage. The company itself has not explained its rationale, addressed consumer concerns, or offered any transparency about how the AI tools were used. This silence leaves the debate lopsided, with consumer anger on one side and industry speculation on the other. The question that hangs over the entire discussion is whether speed and cost-efficiency can justify the brand damage that appears to have occurred.
The Missing Metrics: Does Anyone Know If These Ads Actually Work?
Here is the most uncomfortable fact about the entire Underdog AI ad controversy: nobody outside the company has any idea whether the campaign actually worked. No public data exists on conversion rates, click-through rates, cost per acquisition, or any other performance metric that would allow an objective assessment. The debate, as loud as it is, remains entirely emotional and anecdotal.
Traditional TV ad measurement services like iSpot.tv list Underdog commercials in their databases, tracking airings and estimated spend, but they offer no comparison between the AI-generated spots and human-created alternatives. Without A/B test results or incrementality studies, marketers observing the controversy are left to speculate. Did the AI ads drive sign-ups at a lower cost than traditional creative? Did the backlash suppress performance, or did the controversy itself generate enough attention to make the campaign worthwhile? The answers are locked inside Underdog’s analytics dashboards.
This information vacuum creates a dangerous situation for the broader industry. Marketers watching the backlash might conclude that AI ads are a mistake, when the data could show they performed exceptionally well despite the noise. Alternatively, the campaign might have been a complete failure by business metrics, and the lack of transparency conveniently buries that outcome. Brands considering AI-generated creative in 2026 need to ask a fundamental question: are we optimizing for cost-per-impression, or are we optimizing for long-term brand trust? Without performance data, the Underdog campaign cannot be declared a success or a failure, only a controversy.
Regulatory and Platform Policy Blind Spots
One of the most striking gaps in the coverage of the underdog ai ads is the absence of any analysis regarding platform policies or regulatory frameworks. As of early 2026, major advertising platforms including YouTube, Facebook, and TikTok have policies addressing deceptive AI content, such as deepfakes and misinformation, but they have not established clear rules for stylistic AI-generated advertising. A commercial created entirely with AI tools, promoting a legitimate product, currently operates in a gray area.
The Federal Trade Commission has signaled growing interest in AI disclosures, particularly around consumer transparency. The agency has issued guidance suggesting that AI-generated content used in commercial contexts may require clear labeling, especially if consumers could be misled about the nature of the product or the endorsement. However, as of early 2026, no enforcement actions have been taken against AI ad campaigns like Underdog’s. The regulatory apparatus is watching but has not yet acted.
This vacuum creates a permissive environment for what might be called the “AI ad gold rush.” Brands face reputational risk for using fully AI-generated creative, as Underdog’s experience demonstrates, but they face minimal legal or platform-level consequences. A legitimate product promoted through AI-generated video is not violating current policies in most cases. The situation could shift rapidly. Platform policies evolve, and the FTC has shown a willingness to move faster on AI-related issues than on many other topics. Brands operating in this space today may find their campaigns in violation of new rules by late 2026. Building compliance into the creative workflow now, rather than scrambling to adapt later, is the prudent approach.
5 Lessons for Brands Considering AI-Generated Ads in 2026
The Underdog campaign is not a reason to abandon AI in advertising. It is a reason to approach the technology with more sophistication, more transparency, and more respect for the consumer. Here are five lessons that apply to any brand evaluating AI-generated creative this year.
1. Test for the “Creepy Factor” Before Launch
The uncanny valley is real, and it kills ad performance. Before committing media spend to AI-generated creative, run the visuals through focus groups, online sentiment panels, or at minimum a round of internal review with people who will give honest feedback. If the word “creepy” comes up, the creative fails. No amount of cost savings justifies running an ad that makes viewers feel unsettled. The technology is improving rapidly, and what looked acceptable in late 2025 may already be outdated. Test rigorously and be willing to scrap work that does not pass the human comfort threshold.
2. Disclose the Use of AI Transparently
Consumers are far more forgiving of AI-generated content when brands are honest about it. A simple disclosure, such as “This ad was created with AI tools,” can reframe the viewer’s perception from suspicion to curiosity. Hidden AI creates distrust because it feels deceptive. Disclosed AI can be positioned as innovative and forward-thinking. Underdog’s silence about their process, combined with the obviously synthetic visuals, created a worst-of-both-worlds scenario where the AI was obvious but unacknowledged.
3. Protect Brand Equity Over Short-Term Efficiency
Underdog’s campaign may have saved weeks of production time and significant budget compared to a traditional shoot, but the brand perception damage is harder to quantify and harder to repair. For established brands, trust is an asset accumulated over years and spent in moments. Cutting creative corners with AI that is not yet ready for prime time spends that trust cheaply. The calculation should account for the long-term cost of eroded consumer confidence, not just the immediate savings on production.
4. Monitor the Regulatory Landscape
The FTC and major platforms are actively developing their positions on AI-generated advertising. What is permissible in early 2026 may be a violation by late 2026. Brands should assign someone on their legal or compliance team to track these developments specifically. The companies that get ahead of disclosure requirements and platform policy changes will have a competitive advantage over those forced to scramble when rules tighten. Building compliance into the creative workflow now is far cheaper than retrofitting it later.
5. Pair AI with Human Storytelling
The most successful applications of AI in advertising do not replace the entire creative process. They augment specific stages: generating concept variations, personalizing messaging for different audience segments, or iterating on successful creative elements. The “soul” of an ad, the emotional core that connects with a human viewer, still requires human empathy and cultural awareness. AI can accelerate production and expand possibilities, but it cannot yet replace the judgment of a creative team that understands the audience. Underdog’s fully AI-generated approach skipped the human element entirely, and the result felt hollow to viewers.
Conclusion: The Underdog AI Ad Is a Case Study, Not a Template
The underdog ai ads will be remembered as a landmark moment in advertising history, not because the campaign succeeded, but because it exposed the fault lines in consumer trust that AI-generated creative can crack open. The backlash was not about one company or one set of visuals. It was about a growing sense among consumers that brands are cutting them out of the equation, replacing human creativity with cost-saving algorithms and expecting viewers not to notice or care. They noticed, and they cared.
Brands that ignore this backlash and rush to deploy fully AI-generated ads without transparency, testing, or human oversight do so at their own peril. The future of AI in advertising is not about replacing humans. It is about augmenting them, giving creative teams tools to work faster and smarter while preserving the emotional intelligence that makes advertising effective in the first place. Underdog’s misstep proves a simple truth: technology without taste is just noise, and consumers are tired of listening.