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Top Companies' AI Moves

Jul 13, 2026

Top Companies' AI Moves

The Gist

Data center buildouts are driving demand across the supply chain, with Amphenol positioned to benefit from faster connectivity needs while power providers like Dominion Energy attract investor attention amid AI infrastructure expansion. Honeywell's recent stock decline has left it potentially undervalued despite its AI automation initiatives, and Texas secured a major $919 million AI manufacturing plant from Taiwanese firm LITEON. Meanwhile, companies like Pfizer are exploring AI-related strategies for defensive returns, even as emerging concerns surface around AI-powered political tools being deployed to collect voter data at scale.

Today's Stories

  1. 1

    Amphenol poised as data centers demand faster connectivity

    Amphenol, a maker of connectors, cables, and interconnect systems, is gaining attention as a potential beneficiary of AI infrastructure growth driven by data centers' need for faster, cleaner, and more reliable connectivity. As physical AI infrastructure expands, companies that supply the underlying connectivity hardware—rather than just the processors—may see growing demand for their products, positioning Amphenol as a less obvious but increasingly important player in the AI buildout.

    The article notes Amphenol has been a quieter AI infrastructure winner, suggesting the market may not yet fully recognize the role such connectivity providers will play as data center demands accelerate.

  2. 2

    Dominion Energy gains investor focus on AI data center power, NextEra merger

    Dominion Energy is expanding its role as a power supplier to AI data centers and is involved in a proposed merger with NextEra Energy, combining two major U.S. utilities. The company's stock trades at US$69.45, up 4.8% over the last 30 days. Dominion sits at the center of two major shifts—rising electricity demand from AI infrastructure buildouts and consolidation among large U.S. utilities. Investors are watching how these developments influence the company's capital spending, grid planning, and ability to meet evolving power needs, while interest costs pose a highlighted risk if the company borrows heavily to fund data center expansion or merger-related spending.

    Key questions center on how the AI data center demand and proposed NextEra merger will shape Dominion's future capital priorities and regulatory relationships. The stock currently trades within 1% of analyst consensus target price of US$69.83, though shares are flagged as trading roughly 60.3% below an internal fair value estimate.

  3. 3

    Honeywell stock falls 48.6% but P/E signals undervalued on AI automation push

    Honeywell International's share price has dropped roughly 48.6% over the past month. The company is pursuing new initiatives including an AI-driven Experion Cognition platform and a planned acquisition of Element Solutions (Solstice Advanced Materials), while also planning to separate into three standalone companies. Honeywell's P/E ratio of 18.1x sits below its peer group average of roughly 24.6x and trades at a sizable discount to a tailored fair P/E of 33.9x, suggesting the stock screens as undervalued on earnings alone. However, the planned three-company separation carries estimated onetime costs of between $1.5 billion(約2400億円) and $2 billion(約3200億円), and broader valuation checks score the stock just 2 out of 6, indicating the market is still discounting execution risk around these portfolio changes and balance sheet commitments.

    The core question for investors is whether Honeywell can execute its planned shifts in automation, AI platforms, and separations cleanly enough to justify any future re-rating, or whether the current discount correctly reflects those risks.

  4. 4

    Pfizer AI hedge strategy offers defensive income play

    Pfizer is employing an AI hedge strategy that combines defensive positioning with income-generating tactics, according to analysis of the company's approach to managing risk in a volatile market environment. For investors seeking stability rather than growth exposure, Pfizer's strategy demonstrates how defensive stocks can be structured to generate returns while protecting against downside risk, particularly relevant as AI-driven market volatility affects traditional sectors.

    The effectiveness of this defensive hedge approach will depend on how well it balances income generation against the underlying risks of pharmaceutical operations and broader market shifts driven by AI adoption.

  5. 5

    AI political bots text thousands of voters at once, gathering data to refine campaigns

    AI-powered platforms are now training bots to conduct personalized text conversations with voters on behalf of political candidates. The bots answer questions on policy topics and collect data about voter concerns to shape future messaging. Convos, one such platform, helped 10 campaigns last year and is aiming to work with over 100 this year; Vector Political has sent 2.5 million text messages this year and conducted 20,000 to 30,000 conversations. Political texting has become a primary way campaigns reach voters directly at scale since phone banks and door-to-door canvassing have declined. Generative AI bots respond within 30 seconds and can engage in longer conversations—about 5–10% of people respond to texts, and 10–20% of those engage in 10 or more texts—allowing campaigns to listen to voter concerns 'at a scale that campaigns have never listened at before.' However, ethics experts and some within the industry worry that bots could spread false information or be used deceptively, especially since disclosure laws are still being written in only a few states (North Dakota, California, and potentially New Jersey).

    Republicans are adopting these tools faster than Democrats, according to industry observers. Candidates are hesitant to publicly discuss their use of generative AI texting, citing both desire to protect their strategy and uncertainty about public perception. Currently, North Dakota and California require campaigns to disclose if voters are talking to virtual assistants in their first message.

  6. 6

    Texas lands $919M AI manufacturing plant with Taiwanese firm LITEON

    Governor Greg Abbott announced that Taiwanese electronics manufacturer LITEON will build an AI power and infrastructure solutions facility in McKinney, Texas. LITEON expects to invest about $919 million(約1500億円) into the project and create more than 600 jobs over the course of the project. The initial phase includes a $307 million(約490億円) capital investment and creation of 500 jobs. The facility will design and manufacture AI-powered systems and AI infrastructure-related solutions at a time when companies are expanding data center capacity across Texas. The state is providing $3.5 million(約5.6億円) in grant funding plus a $100,000 Veteran Created Job Bonus, positioning Texas as a destination for advanced electronics manufacturing tied to AI expansion.

    This is one in a series of major manufacturing investments in North Texas tied to semiconductors, electronics, and artificial intelligence. LITEON, founded in Taiwan in 1975, specializes in power management systems, optoelectronics, and products for cloud computing, automotive electronics, 5G communications, and AI infrastructure.

What to Watch

As AI infrastructure demands reshape data center economics, investors should watch whether quieter connectivity providers like Amphenol gain recognition for their essential role, while closely monitoring how Dominion Energy navigates the intersection of data center growth and regulatory pressures from its NextEra merger. Simultaneously, Honeywell's ability to execute its automation and AI platform transformation cleanly, and whether defensive hedging strategies in healthcare can balance income generation against AI-driven market disruption, will signal whether current market valuations reflect genuine risks or underappreciated opportunities.

Sources

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