Revolut completes share sale, valuation reaches $115 billion

Morgan Stanley has confirmed it has begun using DTS, the newly launched tokenization service from the Depository Trust & Clearing Corporation (DTCC), to tokenize US stocks, ETFs, and US Treasuries on-chain. Other institutions using the service in the same batch include JPMorgan, Citigroup, Bank of America, Fidelity, and Citadel Securities, among others. DTS went live on October 28. DTCC’s subsidiary, the Depository Trust Company (DTC), mints tokenized certificates for held securities under the service, preserving original ownership and investor protection, while enabling conversion between traditional and tokenized forms and transfers to users’ digital wallets. To date, around 20 institutions have signed up for the service, which covers Russell 1000 constituents, major index ETFs, US Treasuries, and other assets. The service is integrated with the Canton network and DTCC’s private Besu network, with plans to expand to additional blockchains by 2027. Amy Oldenburg, head of digital asset strategy at Morgan Stanley, noted that integrating tokenized securities into existing market infrastructure will continue to guide the firm’s digital asset capability development.

Beating AI News Flash: Menlo Ventures Releases 2026 Enterprise AI Report. According to its estimates, as of September this year, the global enterprise AI deployment market’s annualized spending reached $176.8 billion, 5.4 times the $33 billion recorded last year. This growth is driven primarily by increased spending from existing customers. The survey shows the share of paying enterprises rose from 55% to 65%, while average AI spending among surveyed firms has jumped to 4.7 times last year’s level—compared to their original plan of only a 1.9x increase when setting budgets at the start of the year. AI Agents are a key driver of the spending surge. Previously, model calls were mostly initiated manually by employees; now, Agents can execute tasks continuously, call multiple models in parallel, and keep consuming tokens even without human operation. Data from OpenRouter shows Agents now account for 80% of the platform’s token consumption. The gap between model vendors is widening. Anthropic, OpenAI, and Google together hold 69% of enterprise AI deployment spending, up from 50% last year. For large language model (LLM) API spending alone, Anthropic’s share rose from 40% to 55%, OpenAI’s from 27% to 31%, while Google’s dropped from 21% to 9%. In the AI programming tools market, Claude Code and Codex together capture 70% of spending.

Just a few hours later, @JamesWynnReal got fully liquidated.

Beating AI News Flash: As Anthropic races toward its IPO, it has unveiled a new selling point to investors: using Claude to design AI chips. The company’s in-house chip team, which numbers just 15 people, has already applied Claude to actual engineering design work. Engineers noted that some tasks took less time than their estimates for workflows from traditional chip makers like NVIDIA and AMD. Anthropic first announced its in-house chip development back in August, and is now showcasing Claude’s chip-design capabilities to IPO investors. If Claude can not only support its own chip R&D but also offer design tools to other semiconductor firms, it could tap into a market worth tens of billions of dollars. Currently, the combined annual revenue of chip design software giants Synopsys and Cadence is estimated at roughly $160 billion. This prospect has already moved the market: On November 3, Synopsys and Cadence’s stock prices fell around 4% at one point during trading. Rival OpenAI is also positioning itself in the space: it has used its own models to assist in developing the Jalape?o chip, and signed a multi-year partnership with Synopsys to develop AI models specifically for chip design.

On-chain detective ZachXBT disclosed today that the EU entity hacked and suffered $130 million in losses is France’s Credit Mutuel Arkea, which has $235 billion in assets under management. Earlier on November 1, an EU entity was suspected of losing over $100 million from multiple centralized exchange accounts, with the stolen funds withdrawn by malicious actors in the form of USDC and USDT.

Binance CEO He Yi has again responded to discussions over security incidents and internal device management, noting: "The rule prohibiting personal use of work computers in the employee code is designed to prevent hackers, and there is strict monitoring of downloads. This year, we have intercepted more than 50 attacks. Offensive and defensive operations are a process of continuous iteration for both sides; this time the monitoring failed because hackers are also evolving."