An end to the input-output dichotomy in AI copyright? Like Company v Google takes an unexpected turn

Like Company v Google has taken an unexpected turn on the relationship between AI training inputs and generated outputs in copyright law. The hearing before the CJEU in case C-250/25 has focused attention on whether the legal analysis should continue to treat input and output as separate questions. That separation has long shaped the way copyright claims are framed in AI disputes.

The significance of the issue is that the input-output dichotomy can determine where liability is said to arise. If the act of feeding material into an AI system is treated distinctly from the material produced by it, the legal analysis may be split between training activity and the resulting output. If that distinction weakens, the copyright question becomes broader and may turn on the overall operation of the system rather than on isolated stages.

For copyright purposes, that matters because it affects how infringement arguments are structured. A strict division between input and output encourages separate scrutiny of each step. A move away from that approach could make it harder to confine the dispute to a single act of copying or a single end product, and may require the court to consider the relationship between the material used, the system’s processing, and the final generated content together.

The practical importance is not limited to technical classification. Where courts are asked to assess AI-related copyright issues, the legal test adopted will shape the evidence needed and the boundaries of any claim. A view that treats inputs and outputs as part of one connected process would be more demanding for parties seeking to isolate liability to one stage of development or use.

At this stage, the hearing indicates a possible shift in analysis, but not a concluded outcome. The risk is that copyright disputes involving AI may no longer be resolved by drawing a sharp line between training material and generated output, leaving the scope of liability less predictable and more fact-sensitive.

Disclaimer: This post is for general information only and does not constitute legal advice. Specific advice should be sought for your particular circumstances.
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