2026 Equity Outlook: Why the AI Trade is Evolving Beyond the 'Magnificent Seven

After three years of robust returns, investors are asking the same question: Can the equity market maintain its momentum in 2026?

According to Kerry King, Global Chief Investment Officer of BlackRock’s Fundamental Equities Group, the answer is a resounding yes—but the playbook for 2026 will look fundamentally different from the one that dominated 2025. In a recent episode of The Bid, King outlined a vision for the year ahead where the AI narrative shifts from infrastructure spending to operational efficiency, and where earnings growth finally begins to broaden beyond the "Magnificent Seven."

The Earnings Shift: From Concentration to Breadth

For the past few years, the S&P 500’s performance has been heavily tethered to a handful of mega-cap tech stocks. However, King expects that dynamic to change. While the Magnificent Seven will likely remain strong, their earnings growth is projected to decelerate to 20% in 2026—a significant cooling from the 37% peak seen in 2024.

The real story for 2026, according to King, is the "other 493" companies in the S&P 500. As global central banks continue to ease monetary policy, these companies are poised to see an acceleration in earnings growth.

"We think we can sustain mid-teens growth again in 2026, but the composition will be different," King noted. Investors should keep a close eye on Industrials, Materials, and Technology—sectors that stand to benefit from both cyclical rate cuts and the ongoing reshoring of global supply chains.

AI: From "Picks and Shovels" to Productivity

The AI theme is far from over, but it is entering a new phase. In the early days, the market rewarded the "picks and shovels"—semiconductor giants like NVDA, which saw a 15-fold increase in share price since late 2022.

In 2026, the focus is shifting toward the "second order" of AI investment: operational efficiency and cost savings. King points to data from an IBM survey showing that 85% of CEOs expect a positive ROI on AI investments by 2027. Companies are already reporting tangible results, such as Citigroup freeing up 100,000 development hours per week and JP Morgan noting billions in productivity benefits.

The Investment Implication: Investors should look for companies that are using AI to optimize their cost structures rather than just those building the infrastructure. However, King warns of a "timing mismatch" between heavy capital expenditure and realized returns, which will likely drive market volatility.

Where to Find Value and Diversification

Finding true diversification in today’s market is a challenge, especially when many "value" indices are actually heavily weighted toward growth-style companies.

"If you think you’re going to buy a passive value index to diversify away from growth, you need to think again," King warned. She suggests that investors consider active management to ensure they are getting the defensive exposure they actually need.

King also highlighted two specific areas of interest:

• Healthcare: Often overlooked, this sector is currently trading at discounted valuations. With 80% of healthcare companies providing upward guidance and strong balance sheets, King views this as a high-potential area for 2026.
• Japan: The structural shift from decades of deflation to inflation, combined with aggressive corporate governance reforms (increased transparency and capital returns), makes Japan a compelling long-term opportunity.

Key Takeaways for Investors

As you refine your portfolio for the year ahead, keep these three strategic pillars in mind:

• Embrace Volatility: AI is a generational technology, but the path to integration will be bumpy. View bouts of market volatility as opportunities to add to high-quality positions rather than reasons to exit.
• Prioritize Quality: With PE multiples currently around 22x, some observers are worried about a bubble. King argues that today’s companies are of higher quality than those in the dot-com era, justifying a higher multiple. Focus on large-cap companies with ample free cash flow, as they are best positioned to fund AI-related capital expenditures without over-leveraging.
• Look Beyond the Index: Passive strategies may not provide the diversification you expect. As the earnings gap between the Magnificent Seven and the rest of the market narrows, active management will be critical to capturing growth in the broader S&P 500.

Ultimately, 2026 is shaping up to be a year of execution. As AI moves from a "megaforce" concept to a bottom-line reality, the investors who succeed will be those who can look past the hype and identify the companies effectively turning capital expenditure into sustainable, long-term productivity.