7 Best AI Stocks to Buy Now (Nov 2026): Real Numbers
Updated November 5, 2026. Financial figures come from company earnings reports. Market caps are approximate, based on the November 4 close, and change daily.
AI spending is no longer a story about the future. The big cloud companies are on track to spend well over $700 billion on AI infrastructure in 2026, and analysts expect hyperscaler spending to pass $1 trillion next year. That money flows to a small group of companies. Here are the seven biggest AI stocks to know, with the latest numbers and the main risk for each.
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Quick Snapshot (approx. market cap, Nov 4, 2026)
Nvidia (NVDA): about $4.8T. AI chips.
Microsoft (MSFT): about $4.1T. Azure, Copilot, OpenAI.
Alphabet (GOOGL): about $3.6T. Cloud, Gemini, TPUs.
Amazon (AMZN): about $2.9T. AWS, custom chips.
TSMC (TSM): about $2.0T. Chip manufacturing.
Meta (META): about $1.6T. Ads, Llama, AI apps.
Broadcom (AVGO): about $1.6T. Custom AI chips, networking.
1. Nvidia (NVDA): The AI Chip Leader
Nvidia is one of the two most valuable companies in the world and the default supplier of AI computing hardware.
- Latest quarter (ended July 26): revenue of $96.2 billion, up 106% year over year
- Data center revenue: $89.0 billion, up 117%
- Gross margin: 75%
- Next quarter guidance: $108 billion, with no China data center sales included
Why it matters: Every major AI lab and cloud provider buys its chips.
Main risk: Sales depend on a handful of hyperscalers, and rivals are building their own chips.
2. Microsoft (MSFT): The Enterprise AI Giant
Microsoft sells AI through Azure, Microsoft 365 and Copilot to companies that already use its software.
- Fiscal Q1 revenue (ended Sept 30): $92.3 billion, up 19%
- Microsoft Cloud revenue: $63.9 billion, up 30%
- Azure growth: 48%
Why it matters: It is the only one of the big cloud spenders that kept positive free cash flow this quarter.
Main risk: AI chip delays are expected to limit some capacity until the first half of 2027.
3. Alphabet (GOOGL): The Full-Stack AI Play
Alphabet owns the model (Gemini), the chips (TPUs), the cloud and the world’s biggest search engine.
- Q3 revenue: $127.6 billion, up 25%
- Google Cloud revenue: $30.7 billion, up 103%, with a 36% operating margin
- Cloud backlog: $561 billion
- 2026 capex: about $195 to $205 billion
Why it matters: Cloud growth has doubled in a year.
Main risk: Free cash flow turned negative at about -$9.1 billion in Q3, and the stock fell sharply after earnings.
4. Amazon (AMZN): AWS Is Accelerating
Amazon is still known for retail, but AWS drives its profit.
- Q3 revenue: $201.9 billion, up 12%
- AWS revenue: $46 billion, up 39%, its fastest growth in nearly five years
- AWS share of operating profit: about 63%
- 2026 capex: about $220 billion
Why it matters: Management expects AWS to grow more than 40% in both 2027 and 2028.
Main risk: The spending plan is the largest in the group, and free cash flow has turned negative.
5. TSMC (TSM): The Chipmaker Behind the Chipmakers
TSMC manufactures chips for Nvidia, Apple, Broadcom and others. Most advanced AI chips pass through its factories.
- Q3 revenue: $46.7 billion, up 41% in US dollars
- Gross margin: 66.4%
- AI and high-performance computing: 68% of revenue
- Q4 guidance: $52.3 to $54.3 billion, with full-year growth of about 44%
Why it matters: It wins whichever AI chip designer comes out on top.
Main risk: Geopolitical tension around Taiwan.
6. Meta Platforms (META): The Big Ad-Funded AI Bet
Meta uses AI to improve ad targeting and is building its own models and AI products.
- Q3 revenue: $64.6 billion, up 26%
- 2026 capex guidance: $135 to $145 billion
- Q3 free cash flow: about -$2.1 billion
Why it matters: Ad growth is strong and funds the spending.
Main risk: Unlike Amazon, Microsoft and Alphabet, Meta has no cloud business to rent out its capacity, so every dollar must pay back through its own products.
7. Broadcom (AVGO): The Custom AI Chip Challenger
Broadcom designs custom AI chips for large tech companies and supplies the networking gear that connects AI data centers.
- Fiscal Q3 revenue: $29.6 billion, up 86%
- AI semiconductor revenue: $16.7 billion, up 221%
- Q4 guidance: $34.8 billion in revenue, including $21.7 billion from AI chips
- Free cash flow: $13.7 billion, or 46% of revenue
Why it matters: It is the main alternative to Nvidia for companies building their own chips.
Main risk: A few large customers drive most of its AI growth.
The Big Risk to Watch
All seven benefit from the same trend, so they can fall together, and October showed it. The Nasdaq had a rough month, and Nvidia, Alphabet, Meta and TSMC each lost roughly 13% to 15% of their value over 30 days. Markets are asking whether more than $700 billion in annual spending will earn its money back. If AI spending slows, chipmakers and cloud companies are all affected at once.
How to Choose
- Want direct AI chip exposure? Look at Nvidia, TSMC and Broadcom.
- Want AI plus a profitable core business? Look at Microsoft and Alphabet.
- Want a cloud growth story? Look at Amazon.
- Want to avoid picking one? Consider a diversified AI or technology ETF.
Before buying, check valuation, free cash flow and how much of your portfolio is already in tech.
FAQ
What is the best AI stock to buy now?
No single stock is best for everyone. Nvidia has the strongest growth, Microsoft has the strongest cash position, and Alphabet has the fastest-growing cloud business.
Is it too late to invest in AI stocks?
Valuations are high and prices are volatile. Investing gradually and spreading money across several companies can reduce timing risk.
Which AI company is the biggest?
Nvidia is the biggest company built around AI, at about $4.8 trillion in market cap as of November 4, 2026. It and Apple trade places at the top of the overall rankings, but Apple is not mainly an AI business.
This article is for information only and is not financial advice. Stock prices change daily and all investments carry risk, including loss of capital. Do your own research or speak to a licensed financial advisor before investing.
