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Top Companies' AI Moves

Jul 28, 2026

Top Companies' AI Moves

The Gist

Major tech and industrial companies are making significant AI infrastructure bets, with Marvell launching a new networking chip for AI datacenters and Berkshire Energy capitalizing on the power demands of AI data centers. Meanwhile, some established giants like Boeing and Coca-Cola are seeing investor enthusiasm return as the market rotates away from pure-play AI stocks, while Visa is restructuring ahead of earnings as it adapts its strategy to AI disruption.

Today's Stories

  1. 1

    Dow flat after hours; Fed decision due Wednesday

    Dow Jones futures, S&P 500 futures, and Nasdaq futures were little changed in after-hours trading. AI-related companies Seagate Technology, KLA Corp., Teradyne, and Bloom Energy reported earnings after the close, along with SK Hynix. The Federal Reserve meeting concludes Wednesday afternoon, with a rate hike possible but unlikely. Market direction may hinge on the Fed's decision and the earnings results from semiconductor and energy companies that serve the AI industry.

    The Fed announcement Wednesday afternoon and how the market reacts to the latest earnings from major AI-supply-chain players.

  2. 2

    Eli Lilly Q1 Revenue Hits $19.8B, Up 55.55% YoY

    Eli Lilly reported Q1 2026 revenue of $19.8B, a 55.55% increase from Q1 2025. Social media commentary highlighted the company's revenue run-rate now surpassing established firms including IBM and American Express. The company is allocating capital toward AI-driven drug discovery and dedicated data infrastructure, with partnerships and internal platforms aimed at accelerating innovation. The sharp revenue growth underscores Eli Lilly's position as a high-growth pharmaceutical player and signals investor confidence in its core business. The company's expansion into AI-powered drug discovery and potential acquisitions in emerging areas such as psychedelics for mental health suggest management is building growth levers beyond its current portfolio. For investors and business partners, this signals Eli Lilly is balancing near-term pharmaceutical earnings with long-term innovation bets.

    Analyst price targets cluster around a median of $1,336.0, with recent targets ranging from $1,232.0 to $1,500.0 (Trung Huynh, RBC Capital, 07/08/2026). Institutional activity shows mixed signals: 2,169 investors added shares in the most recent quarter, but notable holders including J. Stern & Co. and Capital International Investors reduced positions significantly. Insider activity includes ILYA YUFFA (EVP & President, LLY USA & Global Capabilities) selling 2,500 shares for an estimated $2,876,925.

  3. 3

    Buffett's Berkshire Energy Quietly Cashes In on AI Data Center Power Boom

    Berkshire Hathaway Energy, a wholly owned utility subsidiary, is capitalizing on surging electricity demand from AI data centers across its U.S. operations. In Iowa alone, a cluster of mega data centers now accounts for roughly 8% of peak electricity load, and the company's CEO said about half of its energy operations are now addressing AI-related power needs. While Berkshire Hathaway itself has largely avoided AI stocks, Berkshire Hathaway Energy benefits from a built-in business model: regulated utilities earn both from selling more electricity as demand rises and from earning a regulated return on capital invested in generation, storage, and transmission infrastructure. The company is executing a roughly $34 billion(約5.4兆円) capital plan, with each approved dollar becoming a base for steady profits for decades.

    Berkshire Hathaway Energy's growth depends on regulators approving rate increases, which is not guaranteed. The business also carries real liabilities, including wildfire exposure at PacifiCorp. While this is a genuine stake in the AI infrastructure boom, it is a slow, steady contributor rather than a high-growth play.

  4. 4

    Marvell unveils Teralynx T100 networking chip for AI datacenters

    Marvell Technology has introduced the Teralynx T100, a networking chip designed for AI datacenters that emphasizes performance, connectivity, and programmability as its core capabilities. Specialized networking hardware has become critical infrastructure for AI workloads, as datacenters need to move vast amounts of data between AI systems efficiently. A new chip from a major semiconductor maker signals ongoing competition to support the infrastructure demands of large-scale AI deployment.

    The article does not provide specific performance metrics, availability date, pricing, or deployment timeline for the Teralynx T100.

  5. 5

    Boeing, Coca-Cola surge as investors pivot from AI stocks

    Boeing rose 6% and Coca-Cola gained 4% as money rotated out of AI-related equities, according to market movements reported on the day. The shift signals a possible broadening of investor interest beyond the artificial intelligence sector that has dominated recent trading, suggesting traditional blue-chip stocks are regaining appeal after a period of AI-heavy positioning.

    The extent to which this rotation persists—whether it reflects a temporary profit-taking move or a sustained shift in market focus toward non-AI sectors.

  6. 6

    Visa announces layoffs ahead of earnings as AI reshapes strategy

    Visa announced layoffs ahead of its upcoming earnings report, citing artificial intelligence and restructuring as drivers of the organizational changes. The move signals that Visa, a cornerstone of global payments infrastructure, is undergoing strategic shifts in response to AI adoption and internal reorganization—changes that may ripple through the fintech ecosystem and payments processing industry.

    The timing of the announcement before earnings suggests management intends to address restructuring costs and strategic priorities directly with investors; specific headcount numbers and financial impact details are likely to emerge in the earnings call.

What to Watch

Watch how major investors react to Wednesday's Fed announcement and the latest earnings reports from AI-supply-chain companies, as well as whether recent institutional selling and insider moves signal genuine concerns or temporary profit-taking in the sector. Keep an eye on upcoming earnings calls for specific details on restructuring costs and strategic shifts, while monitoring whether the current market rotation away from high-flying AI stocks toward steadier plays like Berkshire Hathaway Energy represents a lasting change in investor appetite or a short-term pullback.

Sources

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