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RBC Capital Markets’ US strategist sees big stock gains in 2026

But will it be the year the Magnificent 7 finally lose their position as market leaders?

RBC Capital Markets sees the S&P 500 rising to 7,750 in 2026, implying a gain of another 14% or so from Friday’s close, as the bull market continues its shift toward relying more on financial results, and less on vibes, to keep trotting forward.

“It looks to us like it’s going to be another solid year in the market driven by solid earnings growth,” said Lori Calvasina, head of US equity strategy for RBC Capital Markets in New York.

Calvasina, who has worked on Wall Street since the tail end of the dot-com boom 25 years ago, added that she’s “not really looking for multiple expansion” — Wall Street’s term of art for rallies driven by rising valuations, usually expressed as higher price-to-earnings multiples, rather than increased expectations for earnings themselves.

When multiples expand, it reflects growing investor optimism and aggressiveness. They’re more willing to bet on companies that haven’t yet shown their business plans can actually produce profits.

And since the arrival of ChatGPT in November of 2022 — which set off the AI boom — multiple expansion has been the senior partner in the rise of the market, at least through the end of last year, accounting for about 56% percent of the S&P 500’s gain in that period. (To be clear, this wasn’t just about AI, as late 2022 was also the moment when postpandemic inflation began to lose steam, marking the beginning of the end of the Fed’s rate-hiking cycle.)

At any rate, Calvasina’s position sounds sensible in light of obvious shifts in investor sentiment. Price moves in response to major AI-related announcements suggest views are now more skeptical toward the massive data center spending binges giant tech companies are planning.

Case in point: Oracle soared more than 20% to a record high when it announced major deals with OpenAI back in September. But it’s since shed all of those gains and then some.

If investors are less willing buy on the latest announcement of plans for AI domination, that means a key question for markets — one that Calvasina said she was peppered with by institutional investors in Europe on a recent trip to visit clients — is: “Where are those earnings going to come from?”

Calvasina says the consensus is for earnings growth to pick up for the so-called S&P 493 — that mass of companies outside the septet of tech giants that dominate the markets and the AI trade. Analysts see the annual rate of profit growth for the S&P 493 rising from about 8% in 2025 to about 13% next year.

At the same time, those seven — Meta, Apple, Amazon, Alphabet, Tesla, Microsoft, and Nvidia — are still expected to keep growing their already massive profits even faster than the rest of the market. Analysts expect annual earnings growth of about 18%, down from around 26% this year.

“That gap, the dominance of Mag 7, is expected to continue narrowing,” Calvasina said.

That expected convergence in earnings growth has prompted a wave of Wall Street chatter about whether now is the time for investors to lighten up on massive tech leaders in order to bulk up on the rest of the market. After all, non-Magnificent 7 stocks could be poised to grow earnings more quickly, potentially generating faster gains in stock prices.

But Calvasina isn’t so sure. She sees the logic of the rotation trade, but has been slightly underwhelmed by the actual earnings growth the S&P 493 has been able to generate in 2025, which has contributed to lackluster gains compared to the Mag 7.

“It’s not that we’re totally bucking the consensus on that, but we just think we’re in the middle of kind of this messy, sloppy transition,” she said. “Leadership shifts could continue to be choppy for a while.”

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If this really is an AI bubble, let’s see some more inflation

If the AI trade were to have already peaked, we’d probably retroactively refer to this stretch as a mix of an earnings bubble (like the period of over-earning based on some unsustainable credit trends that preceded the financial crisis) and a valuation bubble (like the dot-com boom, where rapidly expanding price-to-earnings ratios were the key driver of explosive gains).

But if we’re doing anything close to running back the late ’90s, well, this bubble is going to get some more air to inflate it.

The so-called “Fed model” used to value the S&P 500 by subtracting its expected earnings yield from bond yield currently sits at about 0.35% in nominal terms and 2.6% in real terms, versus lows of -2.75% and -0.4%, respectively, during the dot-com episode. Lower readings indicate a higher willingness to buy risky securities relative to risk-free US government obligations.

In a recent report, Bank of America equity derivatives strategists led by Benjamin Bowler wrote:

“The AI revolution represents another profound technological leap, one that we think is likely to also result in an asset bubble. Strikingly, the late 90s analogy suggests that 2025 is tracking 1996, an interesting parallel even if coincidental. Moreover, a unique tailwind this time is the amplification coming from government support and the perceived existential threat AI dominance presents to geopolitical power. In our view, the likelihood of avoiding a significant asset bubble in AI seems low given this backdrop.”

Using its in-house methodology for assessing whether assets are in a bubble, they judge that “​​the core of the AI trade in the S&P, Nasdaq and the Magnificent 7 stocks remains far from these levels,” which suggests “the AI trade may still have room to run into 2026.”

Indeed, none of the publicly traded hyperscalers has a forward price-to-earnings ratio anywhere near Cisco’s peak of over 130 during the dot-com bubble.

Amazon, Meta, Google, and Microsoft don’t really trade at ridiculously high multiples on this metric, relative to their own history or the S&P 500. But for all except Amazon, these stocks have set fresh valuation peaks based on price to estimated free cash flow in 2025, data from Bloomberg shows.

(Oracle seems to be its own kettle of fish, so we’ll leave that alone to its Sam Altman-filled sea of doubts and debt here).

The difference here is capex, which weighs on earnings over time via depreciation expenses but impacts how much money is going in and out of the door immediately.

Ryan Cummings, chief of staff at the Stanford Institute for Economic Policymaking, notes that AI isn’t anywhere close to the lion’s share of sales or earnings for these firms, and estimates that AI-centric sales are being far outstripped by AI capex.

That’s pretty reasonable, considering that we’re still arguably in the early stages of pushing this technological frontier and that a good chunk of this spending is dedicated to making AI models better — putting them in a position where they will be bigger drivers of financial performance going forward.

One way to square this circle between elevated, not crazy forward valuations based on one metric and sky-high ones based on another is to conclude that the lack of runaway forward price-to-earnings ratios suggests that the market does continue to have some skepticism about the long-term earnings power associated with all these capital outlays.

Less doubt would equal higher valuations and higher stock prices. No doubt and unbridled optimism about how much these first movers in AI will reap rewards for years if not decades to come… that’s how we really get a bubble.

“Big Tech has compelling valuation on a growth-adjusted P/E basis, but free cash flow yields are hardly attractive,” wrote Michael Purves, CEO of Tallbacken Capital Advisors. “Ultimately, this valuation methodology debate boils down to the question of whether this massive capex spend will generate compelling returns on invested capital (ROIC). While we won’t know the answer to this ROIC question for some time, we expect the mere existence of this critical question to hover over the markets for some time.”

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Sherwood Media, LLC produces fresh and unique perspectives on topical financial news and is a fully owned subsidiary of Robinhood Markets, Inc., and any views expressed here do not necessarily reflect the views of any other Robinhood affiliate, including Robinhood Markets, Inc., Robinhood Financial LLC, Robinhood Securities, LLC, Robinhood Crypto, LLC, or Robinhood Money, LLC.