 Trump Admin to Pump $1 Billion into this "Off-the-Radar" AI Stock
The U.S. government pumped more than $1 billion into Intel. The stock popped 128%. It pumped $400 million into MP Materials. The stock popped 200%. It bought 10% of Trilogy Metals. The stock popped 500%. And now, Trump has chosen this AI stock for a $1 billion payday. Click here for the full story and stock pick (free).
Further Reading from MarketBeat
3 Edge AI Stocks to Watch as the Next Wave of AI Demand BuildsAuthor: Bridget Bennett. Article Published: 4/4/2026. 
Key Points
- Honeywell is a quietly dominant edge AI infrastructure play, with an estimated 35% of revenue tied to rugged devices that run AI on factory floors, oil rigs, and power plants.
- Vertiv's thermal and power management expertise positions it as a picks-and-shovels beneficiary as edge AI deployments scale from thousands to millions of distributed nodes.
- One Stop Systems is a speculative micro-cap pure play building ruggedized computing platforms for defense and autonomous equipment, with real contracts already in production.
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The AI trade has moved in waves—semiconductors, then software, then cloud infrastructure. Each wave rewarded early investors and punished latecomers. The next wave is already building, and it has little to do with data centers or chatbots. It's edge AI: the technology that puts artificial intelligence directly inside machines. Keith Kaplan, CEO of TradeSmith, has been tracking this shift closely and sees three companies, across different risk profiles, positioned to ride it. Why AI Can't Stay in the CloudMost people still picture AI as a conversation with ChatGPT: type a question, wait for a server miles away to respond, and get an answer. That model works fine for text, but it falls apart the moment AI has to operate in the physical world.
A Tesla (NASDAQ: TSLA) traveling at highway speed has roughly 100 milliseconds to spot a pedestrian, read a signal, and decide whether to brake—a round trip to a cloud server takes too long. John Deere's (NYSE: DE) combines make thousands of decisions per minute in fields with no cell signal. Military drones processing targeting data can't rely on a connection that an enemy jammer could cut. In each case, the AI must already live inside the machine. That's edge AI—and the companies building chips, rugged hardware, and thermal infrastructure for it are facing a demand wave most investors haven't priced in yet. The edge AI market was roughly $11.8 billion in 2025 and is projected to approach $60 billion by 2030, implying nearly 37% annual growth. But the real story may move faster than projections suggest. Unlike the cloud AI boom, which was driven by a handful of hyperscalers, edge AI demand could spread across every autonomous vehicle, smart factory, hospital, satellite, power grid, and eventually every home—billions of devices across thousands of industries.
And that's the scale of what's coming. Honeywell: The 140-Year-Old Edge AI CornerstoneHoneywell (NASDAQ: HON) is nobody's idea of a hot AI stock, and that's exactly the opportunity. Founded in 1885 and trading with a market cap near $147 billion, Honeywell is a profitable, dividend-paying industrial giant that many investors overlook when scanning for edge AI exposure. They shouldn't. Honeywell builds the rugged devices that edge AI actually runs inside—on factory floors, oil rigs, and power plants. Honeywell's enterprise-grade cybersecurity is integrated at the hardware level, and its industrial networking infrastructure connects edge devices to each other and to central systems. An estimated 35% of Honeywell's revenue is already tied to edge AI applications. The growth lever is an upgrade cycle that's already underway. Honeywell doesn't necessarily need to win many new customers—it needs to modernize thousands of existing sites with AI-capable infrastructure. The installed base is massive and switching costs are high. For investors seeking serious edge AI exposure backed by a century-old balance sheet, Honeywell is a cornerstone holding. Vertiv: The Thermal Backbone of Distributed AIVertiv (NYSE: VRT) has already been on a rocket ride, growing from roughly $10 billion to a market cap just over $100 billion. The stock has run sharply over the past year, and its recent addition to the S&P 500 has brought a fresh wave of index fund buying. The question for investors is whether the run has room to continue. The bullish case: the cloud data center boom involved a few hundred hyperscale facilities. Edge AI means millions of distributed nodes, each requiring power management and thermal solutions—Vertiv's core business. Here's a key insight most people miss: edge devices are small, densely packed, and often deployed in harsher environments than climate-controlled data center racks. The thermal challenge at the edge can be as demanding as in centralized facilities, but in much tougher settings. As edge nodes spread from factories to hospitals to substations to vehicles, Vertiv's addressable market scales with that buildout. The valuation isn't cheap—the P/E ratio reflects high expectations—but the demand trajectory could justify it if edge deployments accelerate on the timeline bulls expect. Think of Vertiv as the picks-and-shovels play for the physical infrastructure of edge AI. One Stop Systems: A Speculative Pure Play on Defense-Grade Edge AIOne Stop Systems (NASDAQ: OSS) is a different animal. With a market cap around $250 million, it's a thinly traded micro-cap that is not for the faint of heart. The company is not yet net-income profitable, but it remains one of the purest public plays on edge AI. One Stop Systems builds rugged, high-performance computing platforms engineered to survive conditions that would destroy conventional hardware—extreme heat, shock, vibration, and high g-forces. Its sweet spot is defense: the company holds contracts for the U.S. Navy's Poseidon program, with lifetime revenue from that work already exceeding $65 million, and it's supplying infrastructure for U.S. Army combat vehicles. A newer autonomous construction and mining equipment contract represents a $10 to $15 million five-year pipeline. There is no cloud business here, no consumer division, and no software subscription to fall back on. This is all edge, all the time. The company has guided for 20% to 25% revenue growth in 2026, and the path to profitability looks attainable if the contract pipeline continues to expand. The risk is real—small-cap, speculative, and volatile. But if defense-focused edge AI scales as geopolitical trends suggest, this is the kind of name that can move a portfolio. The Uncomfortable Phase Is Where the Returns AreEdge AI is not a trade. It's the deployment of artificial intelligence into the physical world, and it's just getting started. The demand shock hasn't fully arrived: the infrastructure is being built, models are being trained, and deployments remain in early stages. Investors who bought NVIDIA (NASDAQ: NVDA) early made extraordinary returns, but they did it when the thesis felt uncomfortable. That's roughly where edge AI sits today—early, volatile, and full of conviction-testing moments. The difference is that demand here won't be concentrated in a handful of hyperscalers; it will be distributed across every industry that operates in the physical world. Autonomous vehicles, smart manufacturing, AI-driven medicine, and defense robotics aren't pausing for rate hikes or tariffs. The buildout is happening, and the companies enabling it are worth watching closely.
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