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Trend

Evidence Provenance Infrastructure

Organizations adopt machine-readable provenance for data, media, model outputs and automated decisions.

future-horizonslaterstructural-shift
Publish Date2026-09-19
Updated Date2026-09-22
Horizonlater
Timeframe3–7 years
Confidencehigh

What’s happening

Content labelling standards, data lineage tools and AI audit requirements are emerging. Adoption is uneven, and most business data still lacks a reliable record of its history.

Timing: LATER — roughly 3–7 years before this becomes structural.

Why it matters

As AI makes decisions and fakes become easy, being able to prove where something came from becomes essential for courts, regulators, insurers and customers.

What would make it real

What would kill it