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I suspect the definition of personally identifiable information will become stricter as AI lowers the cost of piecing together an identity. A recent paper, Large-scale online deanonymization with LLMs, describes an agent that extracts clues from unstructured posts, searches for candidate identities, and reasons over the evidence. The researchers report that the system can re-identify people across platforms with high precision and operate at a scale that would be impractical for a human investigator.

We often treat PII as a category: a name or identity document is PII, while an isolated comment is not. That boundary is becoming less useful. The better question is the propensity that a piece of information, combined with other available information, can be stitched back to a person. AI changes that propensity by making search, extraction, and comparison cheap. Over the medium term, I expect governance bodies to take a stricter view of data that looks harmless on its own but becomes identifying when an agent can assemble the surrounding clues. (paper summary from the authors)