AI stocks are still doing what AI stocks do: making everyone feel late, then reminding them the valuation spreadsheets were never the whole religion. The latest buy case from Motley Fool land points to Microsoft, Meta Platforms, and Nvidia as the three big names that still look cheap enough to buy without needing a priest, a miracle, or a 12-month chart that lies to your face.
Lead with the ugly truth first: this is not a meme-stock scavenger hunt. It is a list of giant AI-adjacent businesses with earnings power, reasonable forward multiples, and enough cash flow to keep the machine humming while the rest of the market cycles through its usual panic therapy session.
The pitch here is simple, which is rare enough on Wall Street to qualify as performance art. Microsoft is trading at about 19 to 20 times forward earnings, below the S&P 500’s roughly 21.5 multiple. Meta is around 17.5 times forward earnings. Nvidia, the stock everyone loves to call expensive until it refuses to stop being right, trades at about 22 to 23 times forward earnings, barely above the market.
That matters because the AI story has been treated like a luxury watch when, in these cases, the market is still handing out sales tags. The question is not whether these companies are involved in AI. The question is whether investors are paying bubble prices for them. On the evidence here, the answer is no.
Microsoft is the type of stock that does not need to posture. Its AI business has reached a $37 billion annual run rate and grew 123% year over year in its most recent quarter. That is not a cute side project. That is a serious engine, and it sits inside a company that also remains one of the core platforms for enterprise software, cloud computing, and the whole corporate plumbing economy.
Trading-wise, Microsoft has also been knocked down about 20% to 30% from its all-time high in 2026. That kind of pullback gives the market a chance to rediscover one of its favorite habits: buying great businesses after they temporarily stop looking invincible. The next quarterly earnings report for fiscal Q4 2026, covering the period ending June 30, is expected in late July 2026, which gives bulls a calendar event to worship.
Key takeaway: Microsoft looks like the boring AI pick, which usually means it is the one institutions quietly keep buying while everyone else argues on the internet.
Meta’s case is built on the oldest trick in growth investing: make money from one giant engine, then use the surplus to fund the next one. Here, that engine is advertising. Meta’s revenue rose 33% year over year in its most recent quarter, and the stock trades at about 17.5 times forward earnings. For a company with this scale and this kind of revenue growth, that valuation does not scream indulgence.
The AI angle matters because Meta is not just playing around with chatbots for headlines. It has the cash flow, the distribution, and the advertising machine to turn AI tools into more useful ad products, better engagement, and possibly more time spent inside its ecosystem. Investors tend to act like the internet is a finished product until a platform with billions of users reminds them otherwise.
Trading-wise, Meta often attracts momentum when its core ad business is healthy, because the market likes clean stories more than complicated ones. Right now the story is simple enough: strong revenue growth, low-ish multiple, and a pile of AI optionality that the market is not fully pricing like a victory parade.
Key takeaway: Meta is still a cash-printing machine wearing an AI costume, and the costume is starting to look underpriced.
Nvidia is still the stock that makes valuation arguments feel dated before the ink dries. It trades at about 22 to 23 times forward earnings, which is barely above the S&P 500 multiple. For a company with Wall Street projecting 82% revenue growth in the current year and 41% the following year, that is the market’s way of pretending a fire is just warm lighting.
The business case remains the same and is still strong: Nvidia’s GPUs are the primary chips used in training AI models, and the company has spent years building a moat around CUDA, its software platform that became the default for early AI work. It also bought Mellanox, which helped build out one of its fastest-growing businesses in networking. More recently, the evidence pack notes an “acquired” Groq, which is described as a possible differentiator in inference. That is the sort of strategic positioning that separates a real platform from a company merely selling expensive hardware in a good cycle.
Trading-wise, Nvidia remains one of the market’s cleanest expressions of AI infrastructure spending. The stock may not be “cheap” in the way a grimy industrial turnaround is cheap, but against its growth outlook, it is not the nosebleed trade the crowd loves to complain about.
Key takeaway: Nvidia is still the toll booth on the AI highway, and the market keeps trying to drive through it without paying full price.
If you are trying to rank these names by temperament, Microsoft is the defensive compounder, Meta is the advertising monster with AI upside, and Nvidia is the high-octane infrastructure king. Each one gives investors a different flavor of the same trade: AI exposure without paying a cartoon multiple.
Microsoft’s appeal is balance. It has a $37 billion annual AI run rate, a large enterprise footprint, and a stock that has already been taken to the woodshed by 20% to 30% from its 2026 peak. Meta’s appeal is leverage: 33% revenue growth and a 17.5 times forward multiple for a business with enormous scale. In both cases, the market is offering a discount because it is nervous about the future, which is usually when good businesses get cheaper and bad businesses get interesting for the wrong reasons.
Key takeaway: if you want AI with less drama, Microsoft and Meta are the kind of names that let you stay in the game without needing a stress ball and a therapist.
One of the lazier habits in this market is to look at AI winners and assume the labels must be inflated. But the data here says otherwise. Microsoft is priced below the broader market on forward earnings. Meta is cheaper still. Nvidia, for all the mythology wrapped around it, is only a hair above the S&P 500 while analysts still expect brutal top-line growth.
That does not mean the stocks are risk-free. It means the easy bearish argument is weaker than it looks from the cheap seats. Microsoft still has to keep its cloud and AI momentum intact. Meta has to keep ads healthy and AI monetization moving in the right direction. Nvidia has to keep growth furious enough to justify the market’s ongoing love affair. If any of those engines hiccup, the market will behave like it always does and call it a “reset,” which is finance-speak for everyone suddenly acting surprised.
Key takeaway: the better question is not whether these stocks are cheap in a vacuum, but whether the market is underestimating how long AI spending can keep feeding them.
The clean read is this: Microsoft, Meta, and Nvidia are still the kind of AI names you can own without having to explain a fantasy valuation model to your future self. Microsoft gives you a beaten-down giant with a $37 billion AI run rate; Meta gives you 33% revenue growth and a low forward multiple; Nvidia gives you monster expected growth at a valuation that is still not crazy.
This is not a thesis about buying everything with “AI” attached like a sticker on a lunchbox. It is a reminder that the biggest winners can still trade at reasonable prices when the market is too busy worshipping the story to notice the math.
