Why authenticity labels and AI watermarks are failing: Verge reporter Jess Weatherbed explains on the Decoder podcast why media authentication standards like C2PA are going nowhere. And why watermarking AI content isn’t working either.
- C2PA, the most prominent content authenticity standard, was designed as a photography metadata tool, not an AI detection system. Its metadata is easily stripped, adoption is patchy (Apple is absent, X walked away).
- The platforms have conflicting incentives. The same companies investing billions in AI (Google, Meta, xAI) also run the distribution platforms.
- With no reliable technical solution in sight, the burden of proving content is real falls on trusted intermediaries. Consider trusted-source models (agency-verified imagery, chain-of-custody workflows) and be transparent with your audience about what you can and cannot verify.
