Trading Lessons

AI Defense Stocks: The Future of Military Technology

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Written by Timothy Sykes
Updated 6/16/2025 10 min read

Artificial intelligence is changing warfare. Nations now race to hard-wire machine learning into reconnaissance, command systems, and autonomous weapons. Defense contractors that master AI tools, data analytics, and secure cloud platforms win the contracts—and the stock market rewards follow.

Check out my AI penny stocks watchlist for more picks!

For traders, AI defense stocks combine stable government budgets with rapid technology growth. Cash-rich agencies place multi-year orders, giving companies predictable revenue while allowing them to reinvest in new robotics, cybersecurity, and automation solutions. I’ve traded through two decades of sector booms; this is the rare case where innovation lines up with long-term funding, limiting downside risk.

Beginner investors often freeze when the headlines mention drones or quantum encryption. Forget the jargon. Focus on price, valuation, and performance metrics that signal momentum. Below is a quick reference for the key shares to follow.

5 AI Defense Stocks to Watch

TickerCompanyCore AI Defense Focus
PLTRPalantir TechnologiesData analytics, battlefield AI platforms
BBAIBigBear.aiDecision intelligence, autonomous systems
LMTLockheed MartinAerospace AI, weapons integration
NOCNorthrop GrummanCyber, drones, advanced sensors
LDOSLeidos HoldingsAI security software, logistics support

Before you send in your orders, take note: I have NO plans to trade these stocks unless they fit my preferred setups. This is only a watchlist.

The best traders watch more than they trade. That’s what I’m trying to model here. Pay attention to the work that goes in, not the picks that come out.

If you do decide to make a trade, I’ve got one piece of advice… USE AI TO TRADE AI!

XGPT is the AI tool my team and I have built to spot high-odds stock setups—faster, smarter, and more efficiently than any human can. You don’t have to be a math genius or some tech wizard. XGPT analyzes patterns, price action, and data the way my top students do… only it does it 1,000x faster.

Whether you like it or not, AI is part of modern trading. Other traders are already using it, shouldn’t you?

Palantir Technologies (NYSE: PLTR)

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Palantir turns raw defense data into actionable intelligence through its Artificial Intelligence Platform and Gotham software. Government customers rely on those systems to coordinate military personnel, monitor threats, and streamline logistics. Citi’s recent report notes lofty valuation concerns, yet contract wins from Citi’s own wealth unit and Middle Eastern countries highlight expanding customer bases and sustained revenue growth.

What’s rule #1 of trading momentum stocks? Only price pays. Palantir’s growing stock price is why I don’t pay too much attention to the doom-and-gloom surrounding Wall Street insights on this stock.

Palantir’s forward sales ratio stays extreme, so short-term pullbacks can occur whenever large procurement awards stall. Still, the defense sector values reliability over aesthetics. If management keeps finding clients and maintaining 20%-plus annual growth, the stock can justify its premium despite market volatility.

BigBear.ai (NYSE: BBAI)

BigBear.ai sells decision-intelligence software that turns drone video, radar feeds, and logistics data into instant commands. Its new UAE partnership adds a second growth engine overseas and shows customers trust its analytics in real-world operations, not just demos. The backlog now tops $385 million and cash reserves exceed $100 million—fuel for R&D and expansion.

In my trading workshops, I remind students that low-float names like BigBear.ai move fast on news. Momentum traders can exploit spikes from new contracts, but they must respect liquidity risk and widening losses. Monitor valuation models, particularly the forward price-to-sales ratio near 6x, and be ready to trim positions if cost overruns dent profitability..

More Breaking News

Lockheed Martin (NYSE: LMT)

Lockheed Martin embeds AI software in aerospace systems, missiles, and autonomous drones. Recent Pentagon budget shifts halved F-35 requests, knocking the stock, yet Israel attacking Iran quickly pushed defense contractors higher as investors sought security plays.

This is why I teach students: don’t predict, react.

When headline cuts arrive, bids dry up, but historical performance shows Congress often restores funding. That pattern offers swing-trading opportunities: accumulate when share price disconnects from multi-year contracts, then scale out into rallies driven by renewed appropriations.

Northrop Grumman (NYSE: NOC)

Northrop Grumman’s AI expertise covers cyber defense, ISR drones, and autonomous undersea vehicles. Rising tension in the Middle East lifted NOC shares, after new strikes signaled elevated arms demand. The company’s strong balance sheet supports steady dividends and ongoing AI research, positioning it for both income and growth investors.

Northrop earns from classified programs, missile defense, and space systems, shielding it when one project faces investment cuts. For portfolios seeking exposure without oversized risk, NOC offers consistent returns plus upside from breakthrough AI applications.

Leidos Holdings Inc. (NYSE: LDOS)

Leidos integrates machine learning into cybersecurity, logistics, and analytics services. Its forward P/E near 14 stands below industry peers, and analysts project modest EPS growth despite recent underperformance versus the S&P 500. A $4 billion quarterly revenue run rate gives the company scale to pursue AI contracts without sacrificing margins.

During training sessions, I highlight value plays within hot sectors. Leidos has room for multiple expansion if AI contracts accelerate. Traders should watch upcoming earnings: positive estimate revisions often precede price breakouts, while soft backlog commentary can trigger sharp pullbacks.

Why Trade AI Defense Stocks?

AI defense stocks sit at the crossroads of government contracts and bleeding-edge tech, giving traders a rare mix of stability and speed. When a software company embeds machine learning into battlefield products—think autonomous drones or predictive logistics—military vendors lock in multi-year deals that smooth cash flow. At the same time, hot money chases headlines: a single acquisition or classified contract can jolt prices the way Nvidia once rocketed after its data-center win. In my trading rooms, I show people how this pattern repeats: capital rotates into sectors where innovation meets guaranteed demand.

These names also spill into other industries—aerospace, secure transportation, even smart manufacturing—expanding addressable markets faster than Wall Street models can capture. That information gap fuels momentum. Traders who study order flow and valuation early can capture risk-adjusted gains long before the S&P 500 notices. Follow the information: backlog growth, funding cycles, and insider buys. Nail those signals and the sector’s mix of offense and software turns into a high-probability trade.

And remember—you still need to play your own defense:

Strategic Importance

Modern defense operations depend on AI-powered analytics. Nations need predictive maintenance, autonomous drones, and rapid data fusion to counter evolving threats. Companies providing those solutions gain multi-year contracts, giving investors clearer visibility than most tech ventures.

Financial Potential

Defense budgets rarely shrink, even during market downturns. When AI upgrades improve battlefield efficiency, procurement officers secure additional funds. That cycle supports steady revenue growth and improves risk-adjusted returns relative to traditional software stocks.

Geopolitical Factors

Hot zones shift investor sentiment. Conflict in strategic corridors can rally defense equities even when the broader market slides. Traders prepared with options or ETFs tied to the sector can capture those fast moves while managing downside exposure.

How to Evaluate AI Military Stocks

Study revenue mix, backlog growth, and government procurement trends. Compare valuation multiples to performance metrics like earnings quality, free cash flow, and return on invested capital. My years on the screen show that stocks with strong R&D pipelines and stable margins outperform hype-driven newcomers once initial buzz fades.

Diversification matters. Pair large contractors with smaller AI software players to balance volatility and capture innovation. Track S&P 500 defense peers as benchmarks, then adjust position sizes when contract news shifts probability distributions.

Government agencies increasingly fold battlefield AI into robust cybersecurity programs—if you want a primer on that side of the trade, see my write-up on 7 Cybersecurity Stocks to Watch Today.

Key Takeaways

  • AI defense stocks pair long-term government funding with rapid technology growth.
  • Contract backlogs and multinational deals drive predictable cash flows, supporting premium valuations.
  • Sector ETFs can smooth single-stock risk while keeping exposure to innovation.
  • Stay alert to geopolitical events; they alter capital flows and create opportunity for disciplined traders.

This is a market tailor-made for traders who are prepared. AI defense stocks thrive on volatility, but it’s up to you to capitalize on it. Stick to your plan, manage your risk, and don’t let FOMO drive your decisions.

These opportunities are fast and unpredictable, but with the right strategy, you can make them work for you.

If you want to know what I’m looking for — check out my free webinar here!

Frequently Asked Questions

How does AI enhance surveillance and cybersecurity?

Artificial intelligence processes sensor data in real time, flagging anomalies before human analysts could react. Machine learning models update continuously, adapting to new intrusion tactics and cyber threats. Agencies deploy these systems across drones, satellite feeds, and secure networks, boosting defense industry demand for advanced analytics platforms.

Which stocks in AI-related defense will surge?

Shares with near-term catalysts—large contract awards, international expansions, or product launches—often outperform. Palantir’s AIP rollout and BigBear.ai’s UAE venture highlight how fresh deals ignite momentum. Investors should also monitor valuation metrics to avoid overpaying when optimism peaks.

How is AI used in defense and military applications?

AI supports mission planning, troop logistics, autonomous weapons, and predictive maintenance for aircraft. Robotics and automation reduce risk for military personnel while improving operational speed. Integration with cloud infrastructure lets commanders fuse battlefield data into a single decision stack, raising overall efficiency.

Why is the use of AI rising in the field of defense?

Evolving threats require faster responses than traditional command structures allow. Artificial intelligence delivers rapid analysis of big data, guiding weapons and coordinating multi-domain operations. Governments allocate more capital toward AI solutions, recognizing the strategic edge they provide.


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Timothy Sykes

Tim Sykes is a penny stock trader and teacher who became a self-made millionaire by the age of 22 by trading $12,415 of bar mitzvah money. After becoming disenchanted with the hedge fund world, he established the Tim Sykes Trading Challenge to teach aspiring traders how to follow his trading strategies. He’s been featured in a variety of media outlets including CNN, Larry King, Steve Harvey, Forbes, Men’s Journal, and more. He’s also an active philanthropist and environmental activist, a co-founder of Karmagawa, and has donated millions of dollars to charity.
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* Results are not typical and will vary from person to person. Making money trading stocks takes time, dedication, and hard work. There are inherent risks involved with investing in the stock market, including the loss of your investment. Past performance in the market is not indicative of future results. Any investment is at your own risk. See Terms of Service here

The available research on day trading suggests that most active traders lose money. Fees and overtrading are major contributors to these losses.

A 2000 study called “Trading is Hazardous to Your Wealth: The Common Stock Investment Performance of Individual Investors” evaluated 66,465 U.S. households that held stocks from 1991 to 1996. The households that traded most averaged an 11.4% annual return during a period where the overall market gained 17.9%. These lower returns were attributed to overconfidence.

A 2014 paper (revised 2019) titled “Learning Fast or Slow?” analyzed the complete transaction history of the Taiwan Stock Exchange between 1992 and 2006. It looked at the ongoing performance of day traders in this sample, and found that 97% of day traders can expect to lose money from trading, and more than 90% of all day trading volume can be traced to investors who predictably lose money. Additionally, it tied the behavior of gamblers and drivers who get more speeding tickets to overtrading, and cited studies showing that legalized gambling has an inverse effect on trading volume.

A 2019 research study (revised 2020) called “Day Trading for a Living?” observed 19,646 Brazilian futures contract traders who started day trading from 2013 to 2015, and recorded two years of their trading activity. The study authors found that 97% of traders with more than 300 days actively trading lost money, and only 1.1% earned more than the Brazilian minimum wage ($16 USD per day). They hypothesized that the greater returns shown in previous studies did not differentiate between frequent day traders and those who traded rarely, and that more frequent trading activity decreases the chance of profitability.

These studies show the wide variance of the available data on day trading profitability. One thing that seems clear from the research is that most day traders lose money .

Millionaire Media 66 W Flagler St. Ste. 900 Miami, FL 33130 United States (888) 878-3621 This is for information purposes only as Millionaire Media LLC nor Timothy Sykes is registered as a securities broker-dealer or an investment adviser. No information herein is intended as securities brokerage, investment, tax, accounting or legal advice, as an offer or solicitation of an offer to sell or buy, or as an endorsement, recommendation or sponsorship of any company, security or fund. Millionaire Media LLC and Timothy Sykes cannot and does not assess, verify or guarantee the adequacy, accuracy or completeness of any information, the suitability or profitability of any particular investment, or the potential value of any investment or informational source. The reader bears responsibility for his/her own investment research and decisions, should seek the advice of a qualified securities professional before making any investment, and investigate and fully understand any and all risks before investing. Millionaire Media LLC and Timothy Sykes in no way warrants the solvency, financial condition, or investment advisability of any of the securities mentioned in communications or websites. In addition, Millionaire Media LLC and Timothy Sykes accepts no liability whatsoever for any direct or consequential loss arising from any use of this information. This information is not intended to be used as the sole basis of any investment decision, nor should it be construed as advice designed to meet the investment needs of any particular investor. Past performance is not necessarily indicative of future returns.

Citations for Disclaimer

Barber, Brad M. and Odean, Terrance, Trading is Hazardous to Your Wealth: The Common Stock Investment Performance of Individual Investors. Available at SSRN: “Day Trading for a Living?”

Barber, Brad M. and Lee, Yi-Tsung and Liu, Yu-Jane and Odean, Terrance and Zhang, Ke, Learning Fast or Slow? (May 28, 2019). Forthcoming: Review of Asset Pricing Studies, Available at SSRN: “https://ssrn.com/abstract=2535636”

Chague, Fernando and De-Losso, Rodrigo and Giovannetti, Bruno, Day Trading for a Living? (June 11, 2020). Available at SSRN: “https://ssrn.com/abstract=3423101”

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