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Рекламный апокалипсис: ИИ научился продавать за копейки (и это пугает)

Эпоха дорогих съемок и многомиллионных бюджетов на рекламу уходит в прошлое. Кейс платформы Kalshi, создавшей рекламный ролик всего за $2000 с помощью нейросете

AI-processed from The Verge; edited by Hamidun News
Рекламный апокалипсис: ИИ научился продавать за копейки (и это пугает)
Source: The Verge. Collage: Hamidun News.
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Let's be honest: we all once loved advertising. Those very commercials that looked like little films made us laugh, cry, or just froze us in front of the screen. For many of us, TV breaks in childhood were a kind of precursor to TikTok — short, concentrated doses of creativity. But today, an "advertising apocalypse" has appeared on the horizon, and its reason is not at all that people ran out of ideas. It's just that AI has started to drain all the joy from this process, transforming art into cheap assembly-line production.

The recent case of Kalshi became a cause for serious concern. They released an advertising video that cost just two thousand dollars to produce. In the world of professional marketing, this is not just cheap — it's practically free. For comparison, such a sum would not have previously covered even catering expenses for a medium-sized film crew, let alone location rentals, actor fees, and weeks of post-production. Neural networks did what professionals feared most: they devalued the process of creating visual products while maintaining acceptable quality for mass audiences.

Advertising agencies, of course, are thrilled. For them, this looks like the perfect business plan: charge clients the same budgets as before, but spend pennies on production, keeping the lion's share of profit for themselves. However, for the industry itself, this signals the beginning of the end. Advertising has always been a tool to "burn" a brand image into a consumer's memory. This required delicate work, intuition, and enormous amounts of human labor. Now, instead of a creative director, we have a prompt engineer, and instead of a cinematographer — an algorithm that generates frames based on statistical probabilities.

The problem is that AI is fundamentally derivative by nature. It creates averaged, "safe" content that looks like everything at once. We risk ending up in a world where we'll be bombarded with endless streams of visual noise created without a single spark of inspiration. If advertising once fought for our attention through originality, now it will take us by storm through quantity and cheap production. This year, the situation will only get worse as video generation tools become more accessible and refined with each passing month.

We've already seen how AI changed copywriting and illustration, making them mass-produced and faceless. Now it's video production's turn. Companies no longer want to wait for months and pay hundreds of thousands of dollars for a commercial if a neural network can produce something "good enough" in a couple of days and a couple of thousand dollars. This is a classic efficiency trap: in pursuit of saving money, we lose that very magic that made advertising part of culture, not just an annoying factor.

What does this mean for the job market? Photographers, illustrators, editors, and lighting artists already feel the ground slipping from under their feet. When technology allows one person to replace an entire studio, the value of skills honed over decades approaches zero. The irony is that brands, seeking to save money, may ultimately lose their identity, dissolving into an ocean of identical, AI-generated images.

Bottom line: Prepare yourself for advertising to become even more intrusive and soulless. If a commercial costs $2,000, it can be stamped out in batches, testing hypotheses on us in real time. Will human creativity withstand such cheap efficiency, or are we finally transitioning into an era of content created by machines for zombie consumers?

ZK
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