The four largest cloud companies are on track to spend roughly $725 billion building artificial intelligence data centers in 2026, and they poured about $130 billion into capex in the first quarter alone. That money flows straight to a small group of companies that design the chips, run the data centers, and sell the software. The best AI stocks to buy right now are Nvidia, Alphabet, Microsoft, Taiwan Semiconductor, Broadcom, Meta Platforms, and Palantir, chosen for fast revenue growth, real AI sales, and improving profit margins.
This guide ranks them by market value, the total dollar value of all their shares. We looked at where each company sits in the AI supply chain, how fast its sales are growing, and what could go wrong. Each pick earns its spot for a different reason, so the list spans chipmakers, cloud platforms, and pure software.
How We Picked These Stocks
More than 50 US-listed companies now claim some link to artificial intelligence. We filtered for four things. AI had to be a primary driver of revenue, not a side project. Revenue had to be growing more than 15% year over year. Market value had to top $10 billion, which screens out small speculative names. And operating margins, the share of sales left after running costs, had to be positive or clearly improving.
We excluded companies that only mention AI in press releases without real sales behind it. The result is seven companies that already earn billions from AI and sit at the center of the spending boom.
Nvidia (NASDAQ:NVDA)
Why it made the list: Nvidia makes the graphics chips that train and run nearly every large AI model. Full-year sales reached $215.9 billion, up 65% from the prior year, with data center revenue alone at $197.3 billion. Its most recent quarter set a fresh record at $81.6 billion, up 20% from the prior three months. No other company captures AI spending as directly.
The bull case: Cloud companies are still raising their building budgets, and Nvidia chips remain the default choice. Each new model generation commands higher prices and wider profit margins. Demand has outrun supply for two straight years.
The risk: Nvidia's biggest customers are designing their own chips to cut costs, which could slow orders over time.
Key number: $215.9 billion in full-year revenue, up 65% year over year.
Alphabet (NASDAQ:GOOGL)
Why it made the list: Alphabet owns Google, the Gemini AI models, and a fast-growing cloud business. Google Cloud revenue rose 63% year over year last quarter. The company also designs its own AI chips, called TPUs, so it depends less on outside suppliers.
The bull case: Alphabet turns AI into money three ways: cloud rentals, its own chips, and AI features inside search and ads. A cloud backlog above $460 billion in booked commitments shows demand is real and booked.
The risk: AI answers built into search could pull users away from the ads that still produce most of Alphabet's profit.
Key number: Google Cloud revenue grew 63% in the most recent quarter.
Microsoft (NASDAQ:MSFT)
Why it made the list: Microsoft runs Azure, the second-largest cloud platform, and sells Copilot AI tools across its software. The company raised its yearly building budget to roughly $190 billion, near double the prior year. That spending signals strong customer demand for AI computing.
The bull case: Microsoft can add AI features to products that hundreds of millions of people already pay for, from Office to Windows. Its early stake in OpenAI gives it access to leading models. Recurring software fees make revenue steady and predictable.
The risk: The huge building budget eats into free cash flow, the money left after all spending, and investors want proof the returns will follow.
Key number: Roughly $190 billion planned in capital spending this year.
Taiwan Semiconductor (NYSE:TSM)
Why it made the list: Taiwan Semiconductor actually manufactures the advanced chips that Nvidia, Broadcom, and Apple design. It controls the large majority of the world's leading-edge chip production. Almost every AI chip on the market passes through its factories.
The bull case: No rival can match its manufacturing at the smallest, fastest chip sizes. As AI chip orders climb, TSM raises prices and builds new plants, including ones in Arizona. That makes it a way to own the whole AI chip boom at once.
The risk: Most of its factories sit in Taiwan, so any conflict with China would threaten the supply of advanced chips worldwide.
Key number: It produces the large majority of the world's most advanced chips.
Broadcom (NASDAQ:AVGO)
Why it made the list: Broadcom builds custom AI chips for cloud giants like Google and Meta, plus the networking gear that links thousands of chips into one system. Its most recent quarter brought in $22.2 billion in revenue, up 48% year over year, with AI semiconductor sales of $10.8 billion, up 143%. The company expects roughly $56 billion in AI chip revenue for the full year, a clear runway separate from Nvidia.
The bull case: As big cloud companies design their own chips, they hire Broadcom to help build them. Its networking switches are needed in every large AI data center. Software from its VMware deal adds steady recurring sales.
The risk: A small number of large customers drive most of the AI revenue, so losing even one would sting. The stock can also swing hard, as its 13% drop after the last earnings report showed.
Key number: $10.8 billion in AI chip revenue last quarter, up 143% year over year.
Meta Platforms (NASDAQ:META)
Why it made the list: Meta uses AI to target ads across Facebook, Instagram, and WhatsApp, which lifts the price advertisers pay. It also builds the open Llama AI models. Its building budget for AI runs $125 billion to $145 billion this year.
The bull case: Better AI targeting makes Meta's core ad business more profitable without new products. Billions of daily users give it data few rivals can match. AI assistants inside its apps open a fresh path to growth.
The risk: Meta is spending heavily on AI projects that may take years to pay off, and impatient investors could push back.
Key number: $125 billion to $145 billion in planned AI building costs this year.
Palantir (NASDAQ:PLTR)
Why it made the list: Palantir sells software that helps companies and governments put AI to work on their own data. Its US commercial revenue grew 104% year over year last quarter, and total revenue rose 85%, its fastest growth since going public. It is also profitable under standard accounting rules, which is rare for a fast-growing software firm.
The bull case: Its Artificial Intelligence Platform, known as AIP, lands new enterprise customers at a rapid pace. Long government contracts give it steady, visible revenue. Few rivals match its mix of AI software and real-world deployment.
The risk: The stock trades at a very high price relative to sales and earnings, so any slowdown could trigger a sharp fall.
Key number: US commercial revenue grew 104% year over year last quarter.
AI Stocks at a Glance
The State of the AI Trade
Artificial intelligence is the largest spending wave technology has seen. The top cloud providers plan to spend more than $725 billion this year, and some forecasts put combined big-tech spending above $1 trillion by 2027. The S&P 500 gained about 10% in the first half of 2026, and nearly all of the Nasdaq-100's advance came from just 10 stocks, most of them on this list. That money buys chips, servers, networking gear, and the power to run it all, which is why the gains spread well beyond a single company.
The boom now reaches every layer of the hardware stack, not just the marquee chipmakers. Server makers, storage firms, and memory suppliers are all selling out their capacity. We covered why high bandwidth memory is sold out through 2026 and how Dell booked a $44 billion quarter on AI server demand. The robotics sector is another spillover, which we break down in our guide to the best robotics stocks.
Not everyone is convinced the spending pays off. Some well-known investors have compared today's chip rally to the dot-com bubble of 1999, a debate we laid out in SoftBank's $45 billion AI win against Michael Burry's bet that it collapses. The bull case rests on real revenue and booked orders. The bear case rests on whether returns ever justify the cost. Both sides have a point, which is why a spread across chips, platforms, and software lowers the risk of any single bet going wrong.
What to watch:
- Palantir earnings on August 3: Palantir reports after the close on August 3, and its commercial growth rate sets the tone for software-side AI names before the chipmakers report.
- Nvidia earnings on August 26: Nvidia reports after the close on August 26, the single most-watched print in the group, with data center demand and forward guidance driving the whole chip complex.
- Broadcom's fiscal Q3 report in early September: Broadcom guided current-quarter AI semiconductor revenue toward $16 billion, so its early-September report tests whether custom-chip demand keeps pace with Nvidia.
- Cloud capex resets each quarter: The big cloud companies reset their building budgets on every earnings call, and any cut would ripple through every chip and hardware name on this list.
- Power as the binding limit: Electricity has become the real bottleneck. Microsoft has flagged a backlog of Azure orders it cannot fill for lack of power, so new plants and power deals can move these stocks fast.
Bottom Line
This list suits investors who want exposure to the AI buildout without betting everything on one company. The mega-cap names offer scale and steadier cash flow, while Palantir and Broadcom carry higher risk and higher potential reward. Owning a spread across chips, cloud platforms, and software is the simplest way to ride the trend while limiting the damage if one piece stumbles.
Frequently Asked Questions
What is the best AI stock to buy right now?
Nvidia remains the most direct way to own the AI boom, since its chips train and run nearly every major AI model and its revenue grew 65% last year. For investors who want lower risk, large platforms like Alphabet and Microsoft offer AI exposure with steadier cash flow. The right pick depends on how much risk you can accept.
Are AI stocks a good investment in 2026?
AI stocks tie directly to more than $725 billion in planned cloud spending this year, which supports strong revenue growth across chipmakers and software firms. The main risk is high valuations, meaning some stocks already price in years of growth. Spreading money across several AI names lowers the chance that one disappointment sinks your returns.
What AI stocks does Nvidia rely on?
Nvidia designs its chips but does not make them. It relies on Taiwan Semiconductor to manufacture its most advanced processors and on memory makers for the high bandwidth memory stacked inside its chips. That is why Taiwan Semiconductor benefits from nearly every Nvidia sale.
Is Palantir overvalued?
Palantir trades at a very high price relative to its sales and earnings, well above most software peers. The high price reflects fast growth in its US commercial business and steady government contracts. If growth slows, the stock could fall sharply, so it carries more risk than the mega-cap names on this list.
How many AI stocks should I own?
Most investors get enough exposure with five to eight AI names spread across chips, cloud platforms, and software. That mix captures the whole supply chain while limiting the damage if one company stumbles. Owning a single AI stock concentrates too much risk in one bet.
