Cantor Fitzgerald Cuts AI Data Center Price Targets
The firm lowered price targets for seven stocks as rising interest rates create pressure on AI infrastructure valuations.
Updated on Oct. 16, 2026 in Data Centers

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Cantor Fitzgerald issued a note to investors lowering price targets for seven AI data center stocks amid a broad market rotation. The move follows increased concern regarding project execution risks and capital expenditure overruns.
Why it matters
Rising interest rates and higher capitalization rates are pressuring valuations across the AI infrastructure and Bitcoin mining sectors. Investors are currently weighing these macro factors against the long-term growth potential of the data center industry.
Yields on CoreWeave bonds have climbed above 15 percent as market volatility persists. Meanwhile, analysts project that stocks like TeraWulf, Hut 8, and Core Scientific could see rally potentials of 100 percent or more.
The players
Cantor Fitzgerald
This global financial services firm provides investment banking, brokerage, and asset management services to institutional and corporate clients.
Morgan Stanley
This multinational investment bank and financial services company operates in securities, asset management, and wealth management.
Cipher Mining
This technology company focuses on the development and operation of bitcoin mining data centers in the United States.
The details
Market participants sold off AI infrastructure and Bitcoin mining assets as treasury yields surged above 5.3 percent during the week. Despite the target cuts, retail sentiment on platforms like Stocktwits remains bullish for companies including Core Scientific and TeraWulf.
Timeline
June 2026: AI data center stocks reached recent highs.
October 9, 2026: Morgan Stanley cut price targets on Bitcoin miners.
Week of October 12, 2026: 10-year U.S. Treasury yield rose above 5.3 percent.
October 16, 2026: Cantor Fitzgerald lowered price targets for seven stocks.
The Tech Race
This sector-wide repricing reflects the sensitivity of infrastructure-heavy tech firms to fluctuating macroeconomic conditions. It underscores the broader arms race as companies compete to secure funding for the data centers necessary to scale AI operations.
Retail investors holding assets in AI-linked infrastructure may face increased portfolio volatility as market sentiment shifts. Tracking the movement of bond yields remains essential for understanding how these firms manage their future capital requirements.
The takeaway
Investors should monitor the relationship between rising treasury yields and the high capital requirements of data center developers. Prudence in evaluating project execution risks is increasingly important during periods of sector-wide market rotation.
Further reading
For additional context on the infrastructure market, visit our Data Centers section.
Source note: This article includes information reported by Asianet News Network Pvt Ltd.
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