Last week, a now-viral video of Norwegian striker Erling Haaland glancing at his reflection in a restaurant racked up more than 31 million views on X within days, according to WIRED. But the clip was not of Haaland—it was an AI-generated deepfake traced to a slapstick skit by Chinese comedian Jin Long, posted to TikTok in mid-June. Fact checkers corrected the record, yet the video continued to spread, illustrating a new dynamic in digital stardom.
The Viral Incident
The deepfake showed Haaland mid-mouthful in a restaurant, flinching at his own reflection. Despite clear evidence of fakery, the clip traveled relentlessly. WIRED reported that the video became an artifact of a "cottage industry" of AI Haaland memes and edits, all riffing on the same joke. The incident underscores how the old model of celebrity—tight control over one's image—is giving way to a new one where the celebrity becomes an "open-source character," loosely tethered to the human who has the face.
Haaland's Chinese Fandom
Haaland's deepfake did not emerge in a vacuum. According to WIRED, it came out of China, where the striker has become a meme sensation. He has spent months fronting a commercial for a Chinese herbal drink, attempting Mandarin, being turned into song, and earning the nickname "Habao" (roughly, "Ha Baby") from fans. As his popularity in China exploded, Haaland launched official Douyin and Weibo accounts and quickly amassed millions of followers. The reflection clip was one piece in a larger ecosystem of AI-generated fan content.
The Shifting Nature of Athlete Content
This case reflects broader trends in sports fandom. A report from AI sports content firm WSC Sports found that Gen Z feels more connected to individual athletes than to teams. A survey by consulting firm Oliver Wyman revealed that social media content from athletes is the single largest driver of Gen Z sports engagement. WIRED noted that fans now treat athletes as evolving characters with recognizable quirks and storylines, similar to fictional characters. The "fanon"—material invented by the audience to fill gaps left by official content—is now highly susceptible to AI. As WIRED put it, "You no longer need the athlete to generate the lore; the audience can synthesize it on demand."
Implications for Digital Brand Strategy
For enterprise leaders overseeing digital brand management, the Haaland deepfake offers a cautionary tale. A meaningful share of the audience actively opted in and shared the AI-generated content, even when aware it was fake. This phenomenon echoes earlier incidents: the @deeptomcruise account on TikTok in 2021, an AI-generated Drake and The Weeknd track in 2023, and the "Balenciaga Pope" deepfake that same year—all met with delight rather than concern. WIRED observed that "if you like someone or something enough, you’ll suspend your disbelief and just roll with it."
| Aspect | Traditional Stardom | AI-Enhanced Fandom |
|---|---|---|
| Content control | Tightly managed by athlete/brand | Open-source; fans generate lore |
| Audience role | Passive spectator | Active content creator |
| Authenticity | Required for engagement | Less critical if character fits |
| Viral risk | Low (controlled releases) | High (deepfakes spread rapidly) |
For CTOs and digital officers, the key takeaway is that AI-generated content is not just a threat to authenticity—it is also an opportunity for engagement. However, the line between genuine and synthetic blurs, requiring new strategies for brand monitoring, rights management, and audience trust. The Haaland deepfake demonstrates that in the age of AI, a celebrity's image can be co-created by millions, for better or worse.
As the 2026 World Cup continues, Haaland remains a central figure—both real and virtual. WIRED noted that Haaland was "always going to be a star of this tournament," and the AI phenomenon only amplifies his presence. For enterprise technology leaders, the lesson is clear: AI-generated content is reshaping brand narratives, and the companies that learn to navigate this new landscape will thrive.
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