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Deepseek AI predicts Chainlink could trigger massive token burn

Deepseek AI, an artificial‑intelligence forecasting service, says a confluence of central‑bank actions could make Chainlink’s Cross‑Chain Interoperability Protocol the mandatory layer for real‑time, atomic settlement of tokenised sovereign debt and CBDCs. The prediction hinges on the Bank for International Settlements, together with the Federal Reserve, the European Central Bank and other major…

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Key points

  • Deepseek AI says central banks may adopt Chainlink’s CCIP and compliance engine for cross‑border CBDC settlements
  • Adoption could require staking and burning large amounts of LINK, potentially locking up unprecedented supply and generating tens of billions in fees
  • Technical analysis shows LINK above $11‑$12; a breakout above $15‑$16 could target the mid‑$20s, though the scenario is highly uncertain

Technical analysis shows LINK trading above its $11‑$12 zone after reclaiming its 200‑day moving average, with higher lows forming an ascending triangle. On‑balance volume is rising and the weekly RSI sits in the mid‑40s. A decisive close above the $15‑$16 resistance cluster could open a measured‑move target into the mid‑$20s, though the scenario remains highly uncertain and likened to winning a lottery.

The article notes Chainlink’s existing ties with organisations such as SWIFT and DTCC, but stresses that the rapid, large‑scale shift described is speculative and not guaranteed.

Full story from finance.yahoo.com · by Alex Ioannou · via Search: DeepSeekOpen source ↗

Deepseek AI Predicts That Chainlink (LINK) is About to do Something Huge

finance.yahoo.com · 21 October 2026

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This text was published by finance.yahoo.com and written by Alex Ioannou. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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