With AI stocks in a state of flux, investors are leaning on earnings season to help provide some clarity that the industry boom is far from going bust.
It’s been a challenging year for the artificial intelligence sector. After a period of sustained growth, 2026 has seen doubts creep in about the sustainability of the whirlwind growth of the industry and the rollout of the technology that’s driven so much excitement.
AI stocks have struggled for momentum this calendar year, with the Magnificent Seven collective of artificial intelligence adopters and Wall Street leaders lagging the wider S&P 500 by more than 7% since the start of the year.
One of the biggest areas of concern for investors stems from high spending and bloated valuations.
The Magnificent Seven, consisting of Alphabet (GOOGL), Amazon (AMZN), Apple (AAPL), Meta (META), Microsoft (MSFT), Nvidia (NVDA), and Tesla (TSLA), have planned to spend more than $700 billion on artificial intelligence capital in 2026, marking a significant increase on the $400 billion spent last year.
It’s this level of spending that’s caused weakness in the stocks of late, with the total market capitalization of the seven tumbling $2.3 trillion in June alone.
“With the average price-to-earnings (P/E) ratio of the Magnificent Seven sitting at around 25.5x to 28.5x, there are legitimate concerns that some of the world’s biggest stocks won’t get the perfect scenarios they need to live up to their multi-trillion-dollar valuations,” explained Vsevolod Smirnov, CMO at Just2Trade.
“We’ve entered a period of severe market skepticism on a scale that hasn’t been seen since the beginning of the AI boom in late 2022. Because of this, the upcoming earnings period for tech leaders is likely to be their most important yet.”
Earnings Season Comes into Focus
As big tech earnings kick off, there’ll be an especially large emphasis on AI spending and returns, as well as chip sales.
In the case of Microsoft and Meta, there has been plenty of investor uncertainty surrounding investments in AI data center capacity, and while the likes of Google and Amazon have remained more resilient, there will be increased expectations for tangible bottom-line improvements as the artificial intelligence boom shifts into the “show me” phase for software.
For Microsoft, there will be a significant emphasis on how the company is building out Copilot and working towards achieving AI growth through its Azure platform. On the other hand, Meta investors will be focused on looking out for signs of improvement through the implementation of AI in ad sales and user engagement.
One key area for investors to focus on when it comes to signs of strength is remaining performance obligations (RPOs), which are a measure of the contracts they’ve signed but are yet to realize revenue from.
This can be a pivotal area to see how well-positioned Magnificent Seven stocks are in catching up to their lofty valuations on Wall Street.
Revenue Guidance to be a Tailwind
When it comes to chip leaders like Nvidia, Intel (INTC), AMD (AMD), and other memory makers, sales and forward guidance will shift more firmly into the spotlight for investors looking for a show of strength.
While concerns over high capital expenditures have shaken confidence in AI stocks, with Taiwan Semiconductor Manufacturing (TSM) stock moving lower in recent weeks after raising its capital spending plans to expand capacity due to rising equipment costs.
However, this is an example of markets failing to take the bigger picture into account, and the world’s largest chipmaker also hiked its revenue guidance due to the stronger levels of demand that it’s seeing.
Similar trends can be seen in equipment supplier ASML (ASML), which issued a bullish forecast due to its advanced equipment sales to chipmakers.
This indicates that earnings season can provide an ideal platform for a widespread industry reassessment for firms and Wall Street alike. At a time when capital expenditures are causing more investors to become concerned about the long-term sustainability of this drawn-out implementation phase of artificial intelligence, tangible evidence of growth could provide a timely boost for the industry as a whole.
Life After Earnings
We only have to look at the Roundhill Magnificent Seven ETF (MAGS) and its stagnation over the past 12 months to know that the artificial intelligence boom has stagnated for the industry’s largest adopters of the technology.
It’s for this reason that the upcoming earnings season for the industry’s hyperscalers will be the most important since the AI boom began with OpenAI’s launch of ChatGPT in November 2022.
Signs of expectation-beating revenue guidance will be pivotal following a period of extreme capital expenditures, but moving quickly in analyzing sentiment surrounding more modest results could be a key strategy for traders looking for opportunities to exploit.
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