WikiHow's core asset is its large, structured "how-to" content library, and it accuses OpenAI of using it as training material and outputting substantial content without compensation, directly impacting its traffic and monetization model. The accusation of removing copyright management information further strengthens the claim of intentional infringement. This case continues a series of lawsuits between publishers and AI companies regarding the use of training data.

From a capital perspective, content platforms seek to prevent unauthorized use or obtain compensation through copyright lawsuits, while AI companies rely on vast amounts of publicly available web pages to build their models. This follows a similar path of other media and authors suing AI training. We are currently in a phase where the legality of data acquisition for generative AI is being systematically challenged.

This is analogous to the early disputes between search engines and content sites over scraping, but the output substitution effect is more direct.

Essentially, this reflects a change in regulation. The mechanism is that copyright law is being used to define the boundaries between "training use" and "substitutive output," forcing AI companies to shift from implicit scraping to explicit licensing or face higher litigation risks.

ABAB News · Cognitive Law

When models can directly output the essence of the original text, traffic and ads will be diverted from the source.
Unauthorized large-scale scraping will ultimately return in the form of copyright lawsuits.
The moat of content platforms is shifting from "being indexed" to "being licensed."