In market circles, the term “the AI race” is frequently used these days. Images of data centers humming somewhere in the Nevada desert, Nvidia’s skyrocketing chip revenue, and frantic capital expenditures that haven’t yet paid off come to mind. Beneath all of that commotion, however, is a question that merits more consideration than it currently receives: which of the Magnificent Seven stocks is a good investment at the current price?
Because this is the problem. The Magnificent Seven are no longer traded as one block. It hasn’t in a long time. Apple is trading at 37 times forward earnings and has increased by almost 45% in the last year. Nvidia has produced triple-digit revenue growth and generously compensated patient investors. In contrast, Tesla’s daily operating income is only $13 million, and its market capitalization still demands some faith. These seven businesses don’t share a valuation narrative, but they do share a label.
That’s precisely why those who are closely observing the numbers continue to focus on Alphabet. It is the group’s least expensive stock by a significant margin, at about 15 times forward earnings. Google Cloud’s revenue increased by 82% year over year to almost $25 billion, and the company’s cloud backlog alone is worth about $514 billion, which is more than the total market capitalization of the majority of businesses worldwide. It’s possible that what the company is quietly developing has just not been rewarded by the market.
Here, there is also a more comprehensive framing to take into account. Recently, analyst Lo Toney provided a helpful lens by dividing the Magnificent Seven into different risk profiles: aggregators like Apple and Meta that distribute AI to large existing audiences; hyperscalers like Google, Microsoft, and Amazon that are building AI infrastructure at enormous cost; a specialist in Tesla; and a pure-play supplier in Nvidia. That split is significant because it clarifies the divergence of these stocks. The markets are punishing the hyperscalers for their excessive spending before the returns materialize.
Another name that comes up when discussing “reasonable value” is Microsoft. It offers what some analysts call one of the cleaner AI monetization stories available at 27 times earnings, up just 3% year to date. This year, Azure’s yearly revenue surpassed $100 billion for the first time. Its commercial backlog reached $678 billion, an increase of 84%. This type of compounding revenue visibility is typically more significant in the third year than it is on the day of announcement. Capital spending has reduced free cash flow, but the demand signals seem real.
The third name that frequently comes up in these discussions is Meta Platforms. It is more affordable than the overall S&P 500 and is rapidly growing into AI agents and frontier models, trading at about 19 to 20 times forward earnings. In the most recent quarter, its advertising revenue increased by 27% to more than $59 billion. As capital expenditure commitments have increased, free cash flow has shrunk dramatically, from over $8 billion to less than $800 million in a single period. This raises valid concerns about how quickly the AI investment cycle turns into profits.
To be honest, none of this is simple to call. Last week, Jim Cramer made the “buy buy buy” argument, claiming that the market is undervaluing the Magnificent Seven ahead of the 2027 monetization wave. That might be accurate. However, there is also a legitimate argument that some of the optimism priced into these names is based on projections that still need to be verified, and that the hyperscalers are spending at a rate that exceeds near-term earnings visibility.
Based on the available data, it appears that the group as a whole makes about $2.3 billion in operating revenue every day. It’s almost too commonplace to bring up that number, which may be why analysts don’t do so much these days. However, Alphabet’s combination of earnings multiple, cloud growth, and backlog size makes it difficult for investors to see where true value lies within this group. It won’t always be the most affordable. As usual, the decision that distinguishes a good trade from a great one is whether that’s a reason to move now or wait for more evidence.
