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WorkThe story, in brief

AI image fraud will cost $40 billion next year - can these international standards help?

$40 billion. That's the predicted cost of AI image fraud next year — and international standards bodies are racing to define the rules.

Reporting by ZDNet AI 1 min brief
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The KeyNews take

Why it matters

AI fraud is becoming a systemic risk that requires coordinated governance. The emerging international standards debate signals a shift from scattered defense to coordinated detection infrastructure — critical for enterprises managing liability and compliance.

The key facts

4 to know

  1. $40B projected cost of AI image fraud in 2026

  2. Fragmented landscape of deepfake/AI scam detection efforts to date

  3. Multiple competing international standards proposals emerging

  4. Policy/governance angle: standardization as risk mitigation for enterprises

Go to the source

ZDNet AIzdnet.com

Publisher excerpt: Until now, efforts to identify and combat deepfakes and AI scams have been scattered. Which proposed standard will dominate?
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