Nebius Stock: A Tokenized-Trading Fight, a Trimmed Citi Target, and the Delivery Clock That Actually - ad-hoc

ad-hoc-news.dePublished by source: Added to RWA Signal: 4 min read
Nebius Stock: A Tokenized-Trading Fight, a Trimmed Citi Target, and the Delivery Clock That Actually - ad-hoc
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RWA Signal Insight

Infrastructure

Nebius, an Amsterdam-listed AI infrastructure firm, has formally joined a coalition of 62 companies opposing a proposed tokenized trading initiative for their shares on the OKX-ICE platform. The initiative, unveiled on October 5, seeks to utilize a five-year SEC 'Innovation Exemption' to facilitate equity trading via automated market makers and liquidity pools. Nebius and other firms, including Boeing and ServiceNow, are challenging the underlying trading architecture and the regulatory carve-out that permits such settlement mechanisms. This dispute highlights a growing friction between traditional corporate issuers and emerging blockchain-based trading venues attempting to bypass conventional settlement systems. While the tokenization controversy captures headlines, Nebius is simultaneously navigating a valuation reset following a Citigroup price target reduction from $324 to $265. Furthermore, the company faces operational scrutiny regarding potential delivery delays on data-center projects tied to Microsoft contracts. These developments underscore the complex intersection of AI infrastructure financing, equity valuation, and the evolving regulatory landscape for tokenized securities.

Key points

  • Nebius joined 61 other firms opposing OKX-ICE's proposed tokenized trading of their equities.
  • OKX-ICE's plan relies on a five-year SEC Innovation Exemption for liquidity-pool settlement.
  • Citigroup cut Nebius's price target to $265 while maintaining a buy rating.
  • Nebius secured a $3.5 billion senior secured facility to fund AI infrastructure development.

Background

Nebius is an AI infrastructure company focused on developing data centers and providing GPU compute resources. The firm supports large-scale AI deployments through partnerships with major technology providers like NVIDIA and Microsoft. Its business model relies heavily on capital-intensive infrastructure buildouts and long-term service contracts.

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