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Zero-Knowledge Proofs vs. Zero-Knowledge AI: Privacy’s New Battlefield (II)

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30.11.2025
Zero-Knowledge Proofs vs. Zero-Knowledge AI: Privacy’s New Battlefield (II)

By Dr. Pooyan Ghamari, Swiss Economist and Visionary

Two technologies, one phrase, opposite outcomes.

One is a mathematical miracle that lets you prove anything about yourself while revealing nothing else. The other is a marketing miracle that lets corporations learn everything about you while technically revealing nothing to their own servers.

Both are called “zero-knowledge.” Only one deserves the name.

The Original: Cryptographic Zero-Knowledge

Born in 1985 by Goldwasser, Micali, and Rackoff, perfected in zk-SNARKs (2012) and zk-STARKs (2018), and now powering hundreds of billions in shielded transactions and private credentials.

Properties that cannot be faked:

  • Completeness: if the statement is true, the proof always convinces
  • Soundness: if the proof cannot be forged
  • Zero-knowledge: the verifier learns nothing beyond the statement’s truth

No trust, no backdoors, no fine print. The laws of mathematics enforce the promise.

The Impostor: “Zero-Knowledge” AI

Announced in glossy keynotes since 2023 under names like Private Cloud Compute, on-device LLMs, and federated learning 2.0.

Properties that are always negotiable:

  • The model was trained on your data or data extremely similar to yours
  • Weights are updated regularly from the cloud with “privacy-preserving” techniques that still leak gradients
  • Behavioral side channels (keystroke timing, scroll patterns, hesitation duration) are collected separately and re-identified downstream
  • A single OS update can silently disable every safeguard tomorrow morning

The server indeed sees “zero kilobytes” of raw text today, so the privacy checkbox is legally ticked. Everything else is someone else’s department.

The Economic War, in Numbers

Deploying real zk-SNARKs for a single identity or payment proof (2025):

  • Computation cost: ~$0.08–$0.40 on-chain or ~$0.001 off-chain with recursive proofs
  • Engineering time: months to years
  • User experience: noticeably slower

Deploying “zero-knowledge” on-device AI (2025):

  • Computation cost: already subsidized by your phone bill
  • Engineering time: weeks
  • User experience: instant and delightful
  • Data harvested: effectively unlimited

Guess which one wins market share.

Three Scenarios Ahead

2026–2028: Regulatory capture EU, California, and Brazil draft AI privacy laws that explicitly accept on-device processing as sufficient. Real cryptographic proofs are classified as “optional advanced measures.” Incumbents lock in their training-data monopolies forever.

2028–2032: Backlash and bifurcation A coalition of privacy researchers, whistle-blowers, and crypto projects demonstrates mass de-anonymization from supposedly private on-device models. Trust collapses. A parallel economy emerges using only mathematically provable zero-knowledge systems, accepted by a minority but trusted absolutely.

2032+: Forced convergence Governments, desperate for control, mandate that all privacy claims above a certain sensitivity threshold (health, finance, voting) must be backed by published, auditable zk circuits. “Zero-knowledge AI” as a marketing term quietly disappears, replaced by the more honest “edge processing.”

What Must Be Done Now

  1. Ban the phrase “zero-knowledge” for any system unless it comes with a formal proof of the cryptographic property. Treat violations as false advertising with personal liability for executives.
  2. Create an open, continuously updated benchmark: take every major on-device model, feed it synthetic but realistic personal data, and measure leakage. Publish the leaderboard monthly.
  3. Fund recursive zk proof research at ten times the current level. The only long-term defense against surveillance AI is to make true zero-knowledge cheaper and faster than fake zero-knowledge.

Final Observation

Cryptographic zero-knowledge is expensive because freedom always is. Marketing zero-knowledge is cheap because surveillance always has been.

The war will be decided by which side we are willing to pay for.

Dr. Pooyan Ghamari Swiss Economist and Visionary

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