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AI Stocks & Markets

Jul 4, 2026

AI Stocks & Markets

The Gist

AI-focused semiconductor and tech stocks are experiencing mixed momentum as Western Digital tumbles amid cooling AI demand, while Booking Holdings surges on strong earnings and a $700M AI investment commitment. Meanwhile, Arm rebounds from recent losses on renewed confidence in its AI processor strategy, and Palantir partners with Nvidia to develop independent AI capabilities for the U.S. government, signaling both competitive pressures and new opportunities in the AI market.

Today's Stories

  1. 1

    Western Digital Falls Over The Cliff As AI Trade Cools - What's Next? (NASDAQ:WDC)

    Western Digital Falls Over The Cliff As AI Trade Cools - What's Next? (NASDAQ:WDC)

  2. 2

    Booking Holdings Q4 Beat, Stock Split, $700M AI Push Lift Shares

    Booking Holdings reported fourth-quarter revenue of $6.3 billion(約1兆円), beating Wall Street estimates of $6.13 billion(約9800億円), and announced a 25-for-1 stock split effective April 2. The company also said it would reinvest approximately $700 million(約1100億円) above baseline investments in 2026 on generative AI capabilities, its Connected Trip vision, Asia and U.S. expansion, and advertising. The revenue beat and AI investment signal confidence in the company's growth strategy to travelers and investors. CEO Glenn Fogel noted the company has deployed AI at scale for over a decade and is now rolling out agentic capabilities—AI systems that help customers discover trips, make informed bookings, and receive faster support through natural language search and interactive agents.

    The stock split will make post-split shares cheaper for retail investors starting April 6. Booking expects fiscal 2026 revenue to grow in the low double digits and adjusted earnings per share to grow in the mid-teens percentage range.

  3. 3

    Lockheed Martin stock falls 15.7% in 90 days but offers 2.7% yield with 23-year dividend streak

    Lockheed Martin's stock has fallen 15.7% over the past 90 days and is 27% below its 52-week high. The company announced last October that its latest dividend increase marked the 23rd consecutive year of dividend hikes. Lockheed also carries a $194 billion(約31兆円) backlog of orders from the U.S. government. The White House is seeking $1.5 trillion(約240兆円) in fiscal 2027 defense spending, with roughly half allocated to weapons modernization and procurement — areas where Lockheed Martin specializes. The company's dividend yield of 2.7% is more than double that of the S&P 500, offering income investors an alternative to tech-heavy index holdings. The Pentagon budget includes $13.4 billion(約2.1兆円) dedicated to AI spending for the first time, and Lockheed has capabilities in autonomous systems that could benefit from this allocation.

    Lockheed Martin's yield of 2.7% compares with the S&P 500 and the largest industrial ETF; the company's shareholder yield (buybacks plus dividends) exceeds both. The stock currently carries exposure to U.S. defense procurement and autonomous systems development as strategic growth drivers.

  4. 4

    Arm stock rebounds from 35% slump; AI CPU thesis still in play

    Arm Holdings shares fell from a record $452.70 in June to near $315, marking a 35% pullback from peak levels. The stock had climbed from a January low near $105 earlier in the year. The sharp decline raises the question of whether the semiconductor company's AI chip strategy—which drove the year's strong gains—still has room to grow or if much of the upside has already been realized by investors.

    The key question is whether Arm's AI CPU thesis can sustain further momentum given the recent pullback and valuation reset.

  5. 5

    DeepSeek-R1 Becomes #2 Open-Weights Reasoning Model

    DeepSeek-R1, an open-weights reasoning model from Chinese AI company DeepSeek, has reached #2 ranking among open-weights reasoning models. The model supports 1M tokens of context (expanded from 128K in V3.2) and requires 27% of FLOPs compared with DeepSeek-V3.2 to run. Open-weights models are available for anyone to download and use without licensing restrictions, making this milestone significant for developers and companies seeking high-performing AI that they can deploy on their own infrastructure. DeepSeek-R1's efficiency—using substantially fewer computing resources than its predecessor—may lower barriers to deployment.

    DeepSeek-R1's position as #2 among open-weights reasoning models indicates it is a competitive alternative in a space dominated by proprietary systems. The expanded context window (1M tokens) enables longer reasoning chains and document processing.

  6. 6

    Palantir, Nvidia team up to build US government AI independent of external models

    Palantir Technologies has announced a formal partnership with Nvidia to provide federal agencies and companies with AI capabilities designed to protect the country without relying on external AI models. The U.S. government's ability to deploy AI for national security without depending on third-party models addresses a strategic concern about sovereignty and control over critical defense infrastructure.

    The partnership signals a shift toward domestically developed AI solutions for sensitive government use, though the body does not specify pricing, availability dates, or initial deployment scope.

What to Watch

Watch for Booking's cheaper post-split shares to attract retail investors while the company pursues low double-digit revenue growth and mid-teens earnings expansion through 2026. Meanwhile, monitor whether Arm can maintain momentum in AI CPUs after its recent pullback, and track how DeepSeek-R1's competitive open-weight reasoning model and expanded context window challenge the dominance of proprietary AI systems—particularly as government agencies increasingly shift toward domestically developed solutions for sensitive applications.

Sources

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