3 AI Stocks To Watch In October 2026

Yahoo Finance ·

As of October 24, 2026, shifting market dynamics have placed a renewed emphasis on actual earnings over mere hype in the artificial intelligence sector. Evercore recently warned that tightening credit and rising Treasury yields could pressure AI equities, making profitability paramount. First, NVIDIA anchors the profitable AI screen, boasting a market capitalization of roughly US$5,124.2b. Its Compute and Networking division delivers about US$275.4b, while Graphics adds US$27.6b. Second, Advanced Micro Devices holds a market cap of approximately US$829.2b, generating US$22.2b from Data Center, US$11.8b from Client, and US$3.6b each from Gaming and Embedded segments, driven by major clients like OpenAI, Meta, and Anthropic. Third, Infomart in Japan features a market value near ¥210.3b, with B to B-PF FOOD generating around ¥12.4b and B to B-PF ES contributing ¥7.4b, supported by an impressive 76.5% earnings growth last year.

AI 시장 분석

Amid Evercore's warnings of a credit crunch and rising Treasury yields, investors are focusing on AI companies generating actual revenues beyond mere expectations. NVDA is showing strength with $275.4 billion in data center revenue, while AMD is driving earnings growth through large-scale AI rack system commitments from major clients. This environment provides an opportunity for capital to concentrate on AI revenue-generating companies with solid fundamentals.

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DYAX 전담 분석

Tighter credit conditions and rising Treasury yields are exerting downward pressure across high-valuation AI-related stocks. In particular, leading semiconductor companies like NVDA and AMD face the challenge of proving strong, earnings-based data center demand.

If upward pressure on interest rates persists, bubble controversies may re-emerge and increase stock volatility, but AI companies generating real profits can demonstrate defensive capabilities during market downturns. Investors should monitor U.S. Treasury yield trends and major big tech companies' AI CAPEX execution scale as key indicators.

AI가 생성한 분석으로 투자 자문이 아닙니다.

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