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How to Buy ChatGPT Stock in 2025

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Written by Timothy Sykes
Updated 5/29/2025 12 min read

If you’re looking to buy ChatGPT stock in 2025, the first thing you need to know is that there’s no direct stock to trade. OpenAI, the company behind ChatGPT, is a private AI firm with a unique ownership model that doesn’t currently offer shares on public markets. But in a market driven by hype, valuation, and potential, traders can still find opportunities through related companies and funding moves.

Check out my AI penny stocks watchlist for stocks you can trade now!

Read this article because it explains how you can invest in ChatGPT-related opportunities even though OpenAI isn’t a publicly traded company.

I’ll answer the following questions:

  • Is ChatGPT stock publicly traded?
  • What is OpenAI’s current valuation?
  • Can I trade ChatGPT stock right now?
  • What will the ChatGPT stock price be if OpenAI goes public?
  • Does ChatGPT have a stock symbol?
  • How can I invest in ChatGPT indirectly?
  • Why is Microsoft’s investment in OpenAI important for investors?
  • What risks should I consider when trading AI stocks?

Let’s get to the content!

Is OpenAI or ChatGPT Stock Publicly Traded?

OpenAI is not a publicly traded company, so there is no direct ChatGPT stock available on any exchange like Nasdaq or the NYSE. ChatGPT is a product created by OpenAI, and OpenAI itself is structured as a capped-profit organization governed by a non-profit board of directors, which means it doesn’t follow the traditional corporate model of most tech companies.

Over the last two decades, I’ve seen many traders get burned chasing hype without understanding the structure of the business behind the product. OpenAI has raised billions through private funding rounds from major tech companies and venture capital firms. Microsoft, for example, invested $10 billion and now owns a large equity stake with exclusive rights to provide OpenAI services through Azure. As of early 2025, OpenAI’s valuation has reached up to $300 billion, making it the second most valuable private company globally. That’s important context for anyone thinking about future trading setups.

ChatGPT Stock Price: Can You Trade?

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There is no official ChatGPT stock price because OpenAI has not gone public. Traders cannot pull up a ticker or price chart for ChatGPT shares on any brokerage platform. What we do know is that OpenAI’s valuation has exploded. In March 2025, private investors funded a $40 billion round that priced the company at a $300 billion valuation — a massive jump from just months before.

Valuations like these impact how traders view opportunities in related tech stocks. When you see a private AI company valued higher than most public firms, it creates ripple effects across the sector. Analysts speculate that if OpenAI ever IPOs, the stock would likely open with a high share price based on massive demand, similar to what we saw with early internet or EV stocks. But until that happens, there’s no direct ticker, no price action, and no way to short or go long on OpenAI itself. Stay focused on what you can trade.

Is there a ChatGPT stock I can buy?

There is no stock labeled “ChatGPT” on the public markets, and there’s no way to buy shares of OpenAI through a regular brokerage account. However, traders can get indirect exposure by trading companies that have financial or technological ties to OpenAI and ChatGPT.

In my teaching experience, the best setups often come from second-order thinking — not buying the hype name, but the connected ones that move with it. Microsoft (MSFT) has the largest public connection to OpenAI through both capital and product integration. Nvidia (NVDA) supplies the GPUs that power large language models like ChatGPT, and it’s been one of the biggest beneficiaries of AI demand. These stocks don’t equal ChatGPT, but they are the closest public proxies for trading its growth. Watch for volatility spikes tied to AI announcements, product launches, or OpenAI-related news.

Another angle traders overlook is how ChatGPT is starting to shape stock analysis itself. AI-powered tools are being developed to scan filings, earnings transcripts, and even sentiment in real time. That tech is still early, but it’s pushing into mainstream trading tools. Understanding how these systems work helps you spot overreactions or spot trends before they show up in traditional charts. It’s not about replacing your strategy — it’s about staying competitive. If you’re curious how ChatGPT is being tested in this space, this write-up on ChatGPT for stock analysis breaks it down.

ChatGPT Stock Symbol and IPO Updates

ChatGPT does not have a stock symbol because OpenAI has not filed for an IPO. Since the company remains private, there’s no ticker you can type into your brokerage app to pull up a chart or execute a trade. If that changes, the company will need to file an S-1 with the SEC, list on an exchange like Nasdaq, and disclose detailed financials — all things that haven’t happened yet.

I’ve seen IPO rumors come and go for years. Until there’s a formal announcement, don’t assume OpenAI will go public. The board structure, mission, and funding sources suggest they may continue raising capital privately. Still, IPO talk often creates tradeable momentum in related AI stocks, so staying informed is critical. Watch tech news, follow funding reports, and monitor leadership moves — these often front-run market shifts.

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How to Indirectly Invest in ChatGPT and AI Stocks

The most realistic way to trade the ChatGPT boom is through stocks of companies that either support, fund, or integrate OpenAI’s AI tools. Microsoft (MSFT) is at the top of the list — not just because of its $10+ billion equity stake, but also because it’s embedding ChatGPT in Azure, Windows, Office, GitHub, and more. That makes it a revenue driver, not just a holding.

Nvidia (NVDA) benefits from the AI wave by supplying the graphics processing units (GPUs) needed to train and run AI models like ChatGPT. Its performance has been one of the clearest examples of AI capital driving real trading setups. Other firms like Arm Holdings (ARM), Alphabet (GOOGL), and Meta Platforms (META) are also seeing gains as their AI products gain traction or compete with OpenAI. ETFs like Roundhill’s CHAT and Invesco’s IGPT give broader AI exposure through diversified portfolios of tech companies using generative AI. Venture funds like Fundrise Innovation Fund or ARK Venture Fund offer retail access to private AI firms — though liquidity and transparency are limited. Each of these has its own risk profile and should be approached with strategy, not emotion.

Some traders are asking about early-stage names building similar AI tech but flying under the radar. These lesser-known companies won’t have the exposure of Microsoft or Nvidia, but that also means more price movement on news. For example, I’ve seen small-cap stocks spike just on speculation of AI partnerships — even when there’s no deal. This is where pattern recognition and a solid watchlist matter more than hype. One name people have asked about is Stargate AI, which has been making noise in private markets. Here’s a post on how to buy Stargate AI stock with the facts, not fluff.

Risk Factors to Consider When Trading AI Stocks

AI stocks move fast, but that speed comes with risk. Overhyped names can inflate rapidly on news and then crash just as quickly when expectations shift or funding dries up. OpenAI, despite its massive valuation, is still not profitable and reportedly losing billions annually. That burn rate will eventually catch up unless monetization improves or capital keeps flowing.

From my years of trading volatile sectors like biotech and EVs, I’ve learned that emotional buying during hype cycles leads to losses. AI companies often rely on complex technology, massive data infrastructure, and unproven revenue models. Regulatory uncertainty is also growing, especially around AI safety and privacy. If governments clamp down or funding slows, even strong players could retrace. Always use a risk/reward mindset and avoid sizing up too fast in speculative trades. The smartest traders don’t chase — they plan.

Key Takeaways

There’s no ChatGPT stock to buy directly in 2025. OpenAI is private and doesn’t have a stock symbol or IPO on the calendar. But traders can find exposure through companies like Microsoft, Nvidia, and Arm, which have close ties to OpenAI’s products and capital flows.

Trading AI-related stocks comes with opportunity and risk. The hype is real, but so are the valuation concerns and regulatory overhangs. Approach this sector the same way I teach all my students: with discipline, a structured strategy, and a focus on risk management. You don’t need to guess the next winner — you just need to trade the volatility correctly.

Trading isn’t rocket science. It’s a skill you build and work on like any other. Trading has changed my life, and I think this way of life should be open to more people…

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Do you know how to ride the domino effect of ChatGPT? Write “I’ll keep it simple Tim!” in the comments if you picked up on my trading philosophy!

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Frequently Asked Questions

Can I gain exposure to artificial intelligence without buying OpenAI shares?

Yes, you can gain exposure to artificial intelligence through public companies developing AI applications and technologies. Microsoft (NASDAQ: MSFT), Nvidia (NASDAQ: NVDA), and Alphabet (NASDAQ: GOOGL) are each heavily involved in AI assistants, cloud platforms, and large-scale data processing. These tech giants offer a practical way to trade the AI growth trend without needing access to a private startup like OpenAI.

How do companies like Google and Intel benefit from AI advancements?

Google is investing billions into AI technologies like Search enhancements and generative tools under the Gemini brand, while Intel is building chips optimized for AI processing. These businesses are also pushing software solutions that power AI models across cloud infrastructure. Both play key roles in the performance layer of AI growth, making them relevant for traders watching sector-specific trends.

What role does Oracle play in AI and enterprise software?

Oracle has positioned itself as a major player in enterprise cloud services and database platforms that support AI integration. The company has expanded its offerings to host AI applications and help businesses adopt AI tools more efficiently. Traders should watch for partnerships, software rollouts, and updates on AI-driven business growth in Oracle’s earnings reports.

Are dividends important when trading AI-focused stocks?

While AI stocks like Nvidia or Alphabet often reinvest capital into innovation rather than paying dividends, some AI-related companies like Microsoft do offer regular payouts. This can be attractive for traders who want both growth potential and recurring income. Dividend strategies should be evaluated based on finance goals, not hype or opinions found in every article online.

What should I consider when trading AI startups or emerging tech companies?

AI startups often move faster than large corporations but carry more risk due to limited cash flow, unknown growth rates, and unproven business models. Traders should do thorough analysis using market trends, funding reports, and performance data. Using reliable brokers, monitoring cloud usage, and understanding how chips and GPUs impact performance can help build more informed trading strategies.

How does Microsoft (MSFT) Copilot fit into the broader AI investment opportunity?

Microsoft’s Copilot integrates OpenAI technology across its Office, GitHub, and Windows platforms, turning everyday software into AI-powered tools. This adds real-world utility to AI advancements and reinforces Microsoft as a core investment in the space. As Copilot adoption grows, it generates valuable user information and drives demand for backend infrastructure like Nvidia graphics processing units.

Why are Nvidia and Alphabet both important in the AI sector?

Nvidia provides the GPUs that train and run AI models, while Alphabet develops its own AI products like Gemini and integrates AI across Google services. Both companies supply foundational tech that supports AI expansion across software and cloud platforms. For traders, these businesses represent long-term AI investment plays backed by data, tools, and massive information networks.



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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”