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Top AI and Quantum Penny Stocks to Watch Right Now

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Written by Timothy Sykes Fact-checked by Ellis Hobbs
Updated 6/6/2025, 12:47 pm ET 5 min read
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Artificial intelligence and quantum computing are two of the fastest-growing technologies in the world — and savvy traders are paying close attention to the small-cap stocks leading the charge. While big tech names dominate the headlines, some of the biggest short-term opportunities are hidden among penny stocks priced under $5.

If you’re serious about finding explosive trading setups, you need to know what’s happening in these hot sectors.

Here are three top AI and quantum computing penny stocks to watch now…

3 Top AI and Quantum Computing Penny Stocks to Watch in June

Stock TickerCompanyPerformance (YTD)
NASDAQ: QUBTQuantum Computing Inc
NYSE: QBTSD-Wave Quantum Inc
NASDAQ: RGTIRigetti Computing Inc

These aren’t stocks that I’m necessarily buying…

These are stocks that I’m watching.

Want the whole list of AI penny stocks?

10 Top AI and Quantum Computing Penny Stocks for June 2025

The following three picks I’m watching extra closely…

Quantum Computing Inc. (NASDAQ: QUBT) — NASA Contract Sparks Renewed Interest

Quantum Computing Inc. (NASDAQ: QUBT) has proven time and again that volatility is its greatest weapon. This stock delivered an incredible 1,800%* rally in late 2024, reminding traders just how fast quantum-related headlines can move small-cap stocks.

More recently, QUBT announced a $406,000 contract with NASA for LIDAR data analysis — a significant validation from one of the world’s most respected institutions. The news helped stabilize the stock after a period of heavy volatility.

Even bigger: QUBT is set to join the Russell 3000 Index on June 27. With institutional funds forced to rebalance, there’s a real chance for buying pressure to build in the coming weeks.

Why I’m Watching QUBT:

  • Proven ability to supernova — former 1,800%* runner.
  • Fresh catalyst with NASA contract validation.
  • Upcoming Russell 3000 inclusion — potential institutional buying pressure.

As always, trade the price action — not the hype. Former runners like QUBT have a history of offering multiple breakout opportunities when the setup is right.

D-Wave Quantum Inc. (NYSE: QBTS) — Rapid Growth Despite Controversy

D-Wave Quantum Inc. (NYSE: QBTS) is a textbook case of how volatility and controversy can fuel major price action. Despite being under investigation for potential fraud allegations, QBTS has posted a remarkable 500% increase in quarterly revenue year-over-year.

The stock exploded 150%* in March and followed it up with another 115% rally in Q2 — proof that when the short interest is high and the news flow is fast, massive squeezes can happen.

Adding to the intrigue: major institutional players like CalSTRS have increased their stakes, signaling that even smart money sees potential in this risky quantum computing play.

Why I’m Watching QBTS:

  • 500% year-over-year revenue growth.
  • Heavy short interest — prime conditions for a squeeze.
  • Institutional backing despite sector skepticism.

High risk? Absolutely. But for traders hunting volatility, QBTS is a stock to have on the radar.

More Breaking News

Rigetti Computing Inc. (NASDAQ: RGTI) — Quantum Sector Leader Poised for a Bounce

Rigetti Computing Inc. (NASDAQ: RGTI) has been under pressure after announcing a $350 million Open Market Sale Agreement with Jefferies — a dilution move that spooked investors.

But this weakness could be an opportunity. RGTI is still one of the purest plays on quantum computing infrastructure, with a focus on building scalable quantum processors and offering cloud-based quantum services.

As quantum tech adoption accelerates, RGTI stands positioned to benefit. The sector is gaining mainstream media attention, and quantum computing remains a top theme for 2025 and beyond.

Why I’m Watching RGTI:

  • Sector leader in quantum processor technology.
  • High volatility — ideal for technical bounce setups.
  • Quantum computing remains a long-term megatrend.

With traders cycling back into high-risk, high-reward tech plays, RGTI could see renewed momentum on the right headlines or technical breakout.

 

* Past performance doesn’t indicate future results

Final Thoughts: How to Approach AI and Quantum Penny Stocks

AI and quantum computing are reshaping industries at lightning speed. For traders who can spot the right patterns, the volatility in these sectors can present huge opportunities.

But remember — penny stocks are inherently risky. Always trade with a plan, set tight risk parameters, and focus on the setups that match your strategy.

Want an edge? My team and I have developed XGPT — an AI tool that helps identify high-odds trading setups faster than any human could. In markets this fast, every second matters.

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

 

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Author card Timothy Sykes picture

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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