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Is Amazon a Top AI Stock To Watch? An In-Depth Analysis

Timothy SykesAvatar
Written by Timothy Sykes
Updated 6/11/2025 12 min read

Amazon (NASDAQ: AMZN) is quietly turning into one of the most serious artificial intelligence stocks on the market, yet most traders are distracted by the flashier headlines from Nvidia and OpenAI. When a company this large starts showing triple-digit growth in a key segment like AI, smart traders pay attention. That kind of organic growth combined with strong demand, cash flow, and infrastructure spending creates potential for explosive stock price action — not someday, but soon.

If you’re a small account trader — check out my AI penny stock watchlist here!

Read this article on Amazon AI stock because it breaks down how Amazon integrates AI across its business, how that impacts its stock, and what it means for investors in 2025 and beyond.

I’ll answer the following questions:

  • How has Amazon’s stock historically reacted to AI developments?
  • What are the main ways Amazon uses AI in its core businesses?
  • How does AI adoption influence Amazon’s stock performance?
  • What is the forecast for Amazon AI stock in 2025 and beyond?
  • How does Amazon AI stock compare to other top AI players like Microsoft or Google?
  • What major AI partnerships has Amazon formed recently?
  • What risks and challenges could affect Amazon’s AI growth?
  • Is Amazon AI stock included in major AI-focused ETFs?

Let’s get to the content!

Amazon AI Stock History

Amazon’s history with artificial intelligence isn’t new — it’s just finally getting noticed. Since the early 2000s, Amazon has embedded machine learning into its recommendation systems, fulfillment centers, and pricing models. But as AI matured, so did Amazon’s ambitions. It went from simple algorithms to developing its own AI chips like Trainium and launching Bedrock, its generative AI platform.

From a trader’s perspective, this is the type of shift that creates long-term tailwinds. I’ve seen this before in biotech and e-commerce stocks — the market often underestimates early infrastructure investments. The traders who learn to spot these pivots, and respect the timing, often catch the biggest gainers. Amazon’s AI investments are finally starting to show in its valuation, even as Wall Street underplays the stock’s upside potential.

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How Amazon Uses AI in Its Business

Amazon uses AI across almost every part of its business — from cloud computing with AWS to its massive logistics network. It now runs over 1,000 AI applications, and that number is growing fast. Whether it’s Alexa using natural language processing, or warehouse robots responding to voice commands, automation is improving performance and cutting costs.

As someone who’s taught thousands of traders, I focus on how a company turns technology into actual earnings. Amazon’s AI tools aren’t theoretical. They’re deployed in high-demand areas — advertising, customer service, fulfillment, and cloud services. They’re not just showing off shiny tech; they’re improving margins and growing revenue. That’s how real opportunity forms.

How AI Impacts Amazon Stock Performance

AI is starting to drive Amazon’s performance in a measurable way. In Q1 2025, Amazon stated that its AI-related business is already a multi-billion dollar annual run rate — growing triple digits year-over-year. That’s not just hype. That’s data. That’s real growth, and it’s being driven by products with clear demand.

AI growth is helping stabilize Amazon’s operating income even as it pours money into expansion. I teach traders to watch for sectors within a company that offset volatility — especially in macro-uncertain markets. Amazon’s AI growth is a hedge against weak retail or economic headwinds, and it gives the stock more resilience than most realize. That kind of performance signal shouldn’t be ignored.

Amazon AI Stock Forecast for 2025 and Beyond

Amazon’s AI stock forecast for 2025 looks strong. Management expects capital expenditures to exceed $100 billion — the majority going toward AI infrastructure. This isn’t just about expansion; it’s about keeping up with demand that currently exceeds supply. Amazon says new capacity is consumed almost instantly. That’s an important trader’s clue.

I’ve seen how markets reward companies that scale quickly into high-demand tech. If this pace continues, Amazon’s AI revenue could double again by 2026. Traders betting on weak guidance are missing the big picture. AWS, advertising, and now AI are all high-margin segments. That’s how you drive long-term gains — not just quick pops.

AI has been driving the stock market for the past 2 years… but it can also help you trade better!

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?

Amazon AI Stock vs. Competitors

Amazon’s AI stack is wider and more integrated than most of its competitors. While Microsoft and Alphabet focus on building large language models, Amazon is doing that and providing the infrastructure, compute power, chips, and developer tools to everyone else. They own the vertical. And with AWS still the top cloud platform by revenue, they’ve got distribution locked in.

Traders often overlook the importance of control. Amazon isn’t just competing with Nvidia or Meta; it’s enabling AI development for everyone else while applying it across its core business. That’s leverage. From a trading standpoint, that’s the kind of setup that tends to outperform over time, even if it’s not the fastest out of the gate.

What Partnerships Does Amazon Have in the AI Space?

Amazon is partnering with key players across the AI space. Through AWS Bedrock, it offers access to models from Anthropic (Claude), Meta (LLaMa), and more — without customers needing to train their own. Amazon also works with businesses integrating generative AI into marketing, data analysis, and customer service, accelerating use cases across industries.

In my trading and teaching experience, partnerships like these matter because they create sticky revenue. It’s not just about who builds the best AI model — it’s about who becomes the default infrastructure for running those models. Amazon is embedding itself into the AI value chain, and that long-term strategy should matter to anyone trading tech stocks.

Risks and Challenges for Amazon Web Services AI Stock

AWS still dominates cloud infrastructure, but that lead is shrinking. Microsoft Azure’s faster growth puts pressure on Amazon to defend its turf. At the same time, capital expenditures are massive, and free cash flow is taking a hit. That’s a risk — especially if macro conditions get worse or if AI hype starts cooling off.

Every stock has risks. What matters is how a company manages them. Amazon isn’t sitting back — it’s building its own AI chips, increasing data center capacity, and pushing hard to meet demand. As a trader, I respect aggressive execution. But I also teach that no stock is bulletproof. Amazon needs to maintain its margin strength while AI infrastructure costs surge. If that slips, so might the stock.

Key Takeaways

Amazon is one of the most interesting AI stocks in the market because it’s attacking the opportunity from multiple angles. It builds chips, runs cloud platforms, develops models, and applies AI across its business. This creates multiple revenue drivers and positions the company to scale faster than many of its peers.

Based on over 20 years of trading experience, I know that explosive gains often come when high-growth trends intersect with undervalued stocks. Amazon isn’t cheap — but it’s cheaper than it should be for the type of growth it’s showing in AI, cloud, and advertising. It’s not about hype. It’s about results. And the results so far suggest Amazon could still be early in this run.

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…

I’ve built my Trading Challenge to pass on the things I had to learn for myself. It’s the kind of community that I wish I had when I was starting out.

We don’t accept everyone. If you’re up for the challenge — I want to hear from you.

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Trading is a battlefield. The more knowledge you have, the better prepared you’ll be.

Think Amazon is still early in its run? Write “I’ll keep it simple Tim!” in the comments if you picked up on my trading philosophy!

Frequently Asked Questions

What Do Analysts Say About Amazon’s AI Innovation?

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Analysts widely agree that Amazon’s innovation in AI is positioning it as a leader in cloud infrastructure and enterprise automation. Research reports from top Wall Street firms have highlighted the company’s expansion into custom AI chips and Bedrock services as a major edge. With that level of analyst support, traders should track new information closely — especially when it shows up in earnings reports and analyst upgrades.

Can I Trade Amazon AI Exposure Through ETFs, Options, or Portfolio Strategies?

Yes, Amazon’s AI exposure is accessible through several ETFs like the Invesco QQQ and AI-focused thematic funds, or directly through shares and options. Many traders include AMZN in their options portfolio for leverage on AI-related price moves. Whether it’s long-term positioning or short-term options strategies, the stock’s liquidity makes it a flexible tool for traders looking to capture AI-driven returns.

More Breaking News

How Does Amazon Compare to Apple and Nvidia in AI Competition?

While Nvidia (NVDA) leads in AI hardware and Apple focuses more on device integration, Amazon is building a complete AI ecosystem from infrastructure to application. The competition is real, but Amazon’s scale and AWS integration give it a strategic advantage. Each company plays a different role in the industry — understanding that helps traders time entries based on comparative strengths.

How Is Amazon’s AI Strategy Impacting S&P 500-Level Finance Metrics?

Amazon’s performance in AI is boosting revenue and profit contributions that influence its weighting in indexes like the S&P 500. That’s relevant not just for institutional funds but for personal finance strategies focused on large-cap tech exposure. For traders, watching how Amazon’s AI results impact finance ratios like P/E and cash flow can offer edge in timing swing trades or scaling positions.

Is Amazon Still Focused on Retail After Acquiring Whole Foods and Expanding AI?

Amazon’s retail business remains core, and its acquisition of Whole Foods Market under John Mackey proved it’s serious about omnichannel growth. AI now enhances retail operations, from inventory analysis to personalized product suggestions. The board of directors continues supporting this balance — and from a trading standpoint, that combination of physical and digital gives Amazon a unique edge in a crowded retail industry.

Where Can I Read More Articles and Stock Advisor Content on Amazon’s AI Push?

You can find more content on Amazon’s AI strategy through platforms like Motley Fool, stock advisor newsletters, and analyst articles. Always review the disclosure policy to understand any conflicts, and check charts alongside commentary to verify momentum or weakness. For traders, syncing your account with a real-time news app helps stay alert to headlines that could spark short-term moves in AMZN.

How Does Amazon’s AI Ambition Compare to Tesla’s Tech Strategy?

While Tesla focuses on AI for autonomous driving and robotics, Amazon is targeting enterprise-scale automation, cloud computing, and logistics optimization. Both companies are seen as AI leaders, but Amazon’s data infrastructure and global service reach give it more diversified use cases. Traders watching innovation cycles across tech stocks should compare growth metrics, capital allocation, and AI execution in earnings to gauge which offers stronger potential returns.


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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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