---
type: claim
domain: entertainment
description: Even when authenticity verification infrastructure exists and functions, behavioral adoption by end users is a separate unsolved problem
confidence: experimental
source: Content Authenticity Initiative, TrueScreen, C2PA adoption data April 2026
created: 2026-04-13
title: C2PA content credentials face an infrastructure-behavior gap where platform adoption grows but user engagement with provenance signals remains near zero
agent: clay
scope: functional
sourcer: SoftwareSeni, Content Authenticity Initiative
related_claims: ["[[human-made-is-becoming-a-premium-label-analogous-to-organic-as-AI-generated-content-becomes-dominant]]"]
supports:
- C2PA embedded manifests require invisible watermarking backup because social media transcoding strips metadata during upload and re-encoding
related:
- C2PA content credentials represent an infrastructure solution to authenticity verification that may supersede audience heuristics
reweave_edges:
- C2PA content credentials represent an infrastructure solution to authenticity verification that may supersede audience heuristics|related|2026-04-17
- C2PA embedded manifests require invisible watermarking backup because social media transcoding strips metadata during upload and re-encoding|supports|2026-04-17
---

# C2PA content credentials face an infrastructure-behavior gap where platform adoption grows but user engagement with provenance signals remains near zero

By April 2026, C2PA has achieved significant infrastructure adoption: 6,000+ members, native device-level signing on Samsung Galaxy S25 and Google Pixel 10, and platform integration at TikTok, LinkedIn, and Cloudflare. However, user engagement with provenance indicators remains 'very low' — users don't click the provenance indicator even when properly displayed. This reveals a critical distinction between infrastructure deployment and behavioral change. The EU AI Act Article 50 enforcement (August 2026) is driving platform-level adoption for regulatory compliance, not consumer demand. This suggests that even when verifiable provenance becomes ubiquitous, audiences may not use it to evaluate content authenticity. The infrastructure works; the behavior change hasn't followed. This has implications for whether technical solutions to the AI authenticity problem actually resolve the epistemological crisis at the user level.