[KongchangAI]
ConceptAI-generated political ads / AI生成政治广告

AI-Generated Advertising

An application model in which large language models and image or video generation tools are used to mass-produce political propaganda content. It is characterized by extremely low marginal costs, finely grained targeting of distribution, and rapid iteration cycles.

Timeline (last 90 days)

Oct 16

A sum of AI-generated advertising money as high as 137 million US dollars is flooding into the midterm elections.

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Oct 16

AI-generated advertising refers to the practice of using large language models (such as the GPT series) and image/video generation tools (such as Stable Diffusion, Sora, etc.) to mass-produce political propaganda content.

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Oct 16

The core differences of AI-generated advertising include three points: marginal cost approaching zero, extremely fine-grained targeting, and extremely fast iteration.

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Oct 16

When an AI-generated ad contains false information, the current legal framework has no clear attribution of responsibility (the AI tool company, the political action committee, or the candidate's team).

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Oct 16

The biggest challenge brought by AI-generated advertising is the sharp rise in the cost of judging authenticity, and the traditional judgment methods of 'look at the source, look at the evidence' are beginning to fail.

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Oct 16

As the cost of AI generation continues to fall, this number will most likely grow further in the next election cycle.

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