Thos viral images from a huge snowfall in russia were ai generated?

Checked on January 23, 2026
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Executive summary

Viral clips showing towering snow walls and people sliding between high‑rise blocks in Russia’s Kamchatka peninsula are largely AI‑generated or significantly exaggerated, according to multiple fact‑checking outlets and forensic analysts [1][2]. At the same time, Kamchatka did experience exceptional snowfall that produced dramatic but real scenes—creating fertile ground for synthetic amplification [3][4].

1. What circulated and why the footage stunned viewers

Across social platforms, a cascade of videos purportedly from Petropavlovsk‑Kamchatsky showed apartment towers half‑buried in snow and drifts tall enough to swallow multiple floors, images that many users found “unreal” and emotionally striking [2][5]. Those clips were shared millions of times and not always labelled as synthetic, which increased their viral reach and the public impression that the town had been completely overwhelmed by buildings‑high drifts [2][6].

2. Forensic signals and expert checks that flagged fakes

Open‑source investigators and BBC Verify flagged multiple clips as AI‑generated after finding “seemingly impossible” visual anomalies—shifting architecture, inconsistent floor counts, and drift heights that did not match the known profile of local buildings—concluding several popular clips were not authentic [1][2]. Independent tools used by investigators, including AI‑analysis utilities, returned results consistent with synthetic generation, a finding echoed by fact‑checkers who noted elements like windows and walls that warp unnaturally when the camera moves [2][7].

3. The real weather event behind the memes

That synthetic content did not emerge in a vacuum: meteorological services and reporters confirmed Kamchatka was hit by an unusually severe storm, with recorded snow depths such as 159 cm in Petropavlovsk‑Kamchatsky and multi‑foot accumulations elsewhere, the heaviest in decades in some areas [1][3]. Local impacts included airports and transport paralysed and, tragically, some fatalities linked to falling snow and related conditions—concrete consequences that were frequently conflated with or obscured by the fabricated videos [3][7].

4. Why AI fakes proliferated around this event

Fact‑checkers and meteorologists say the combination of an extreme but remote event and a general unfamiliarity with Kamchatka’s urban landscape made the region especially vulnerable to synthetic amplification: a relatively small city generated dozens of dramatic views—an implausible volume for a town of its size—prompting skepticism and the conclusion that many spectacular clips were manufactured [8][9]. News outlets and social accounts running unchecked viral clips risked reinforcing false impressions, a feedback loop experts warn trains audiences to mistrust both real and fake visual reporting [2][8].

5. Reading the record: what can be stated with confidence

Verified reporting supports two simultaneous truths: Kamchatka did suffer heavy, record‑setting snowfall with real scenes of deep drifts and disruptions, and a significant portion of the most extreme viral videos were AI‑generated or exaggerated, identified by visual inconsistencies and corroborated by investigative tools and local building profiles [3][1][7]. Where the sources differ is emphasis—some outlets stress the reality of the storm while cautioning about fake clips, others foreground the scale of the AI deception—but none of the cited reporting claims all viral footage is genuine [3][1][8].

6. What this episode reveals about media and verification

The Kamchatka case is a warning: real crises and sensational synthetic content can coexist and amplify one another, and standard newsroom instincts to publish striking visual material without rigorous geolocation or architectural cross‑checks can spread falsehoods even as genuine suffering unfolds; fact‑checking outlets like BBC Verify and investigative analysts played the corrective role here by cross‑referencing weather data, building heights and forensic signals [1][2][8]. Reporting limitations remain: while multiple sources say “a significant portion” of clips are AI‑generated, none of the available pieces catalogues every viral clip exhaustively, so some individual videos may still be disputed [1][7].

Want to dive deeper?
How do investigators use architectural and meteorological data to spot AI‑generated weather videos?
What verified images and footage show the real extent of snowfall and damage in Kamchatka?
How have major news outlets changed verification practices after being fooled by AI‑generated visuals?