Key takeaways
- The AI boom — and more specifically, the surge in hyperscaler data centers — seems to have become the primary driver of global financial markets, creating some potential diversification challenges.
- But we see nuances and further differentiation within the AI trade, as some investments appear better positioned than others across areas such as equities, private markets, alternative credit and real assets.
- More broadly, we are finding value in municipal bonds and real estate, which are continuing to enjoy growing tailwinds.
Explore the investment outlook by section
- The concentration paradox: five themes for 2026
- Section 2: The economy and markets: key points to know
- Section 3: Asset class heat map
- Section 4: Five portfolio construction themes
- Section 5: Our best investment ideas
The concentration paradox: Why fewer drivers demand a broader perspective
Saira Malik, Chief Investment Officer
To focus is to ignore.
Raise your hand if you instinctively lower the volume on your car stereo when trying to spot street signs or landmarks as you drive through unfamiliar surroundings.
You’re not alone. Noise and other sensory intrusions make it harder to concentrate, and brain science confirms that quieting down to see better can be, well, a sound strategy. Today’s investment environment is noisy, too. Geopolitical gyrations, volatile short-term economic data and the incessant thrum of prediction markets all contribute to the cacophony, to the point that many investors would rather forego navigating the complex soundscape and instead feel compelled to favor a one note song — the artificial intelligence (AI) trade.
The result is concentration of a different sort: U.S. equity market leadership, earnings growth and benchmark index composition are increasingly concentrated in a small number of AI-related names. Just 28 companies in the S&P 500 Index (less than 6% of the total), including the Magnificent Seven, accounted for roughly 50% of the index's market capitalization at the start of the year, according to JPMorgan. In Q1 earnings season, which wrapped last month, year-over year growth for the information technology sector came in at +54% — nearly double the S&P 500’s overall rate — while the Mag7’s +63% growth dwarfed results for the remaining 493 companies, according to FactSet. Beyond equities, AI is also a powerful force in fixed income and real assets markets, further complicating the case for diversification.
Going with the AI flow may be the path of least resistance but unlike tuning out distractions while driving concentrating on a single theme might not get you to your destination. The narrower the focus, the greater the likelihood that other compelling ideas will be overlooked. Limiting potential sources of diversified risk and return in this way isn’t a sound strategy.
That’s not to say AI no longer presents attractive investment opportunities. But the trade has become more nuanced as investors shift their gaze from which companies are spending the most on AI to which ones are actually generating a meaningful return on their investment. This distinction, along with specific tailwinds and headwinds in various AI-related subsectors and industries, is a topic we explore in our “Five portfolio construction themes.”
We also discuss the broader mix of asset classes we favor beyond the well-trodden AI trail. These include alternative credit and private markets (equity, debt and real estate), where selectivity and deal structure are paramount, and which offer a degree of insulation from AI disruption and geopolitical noise. We also make the case for municipal bonds (both investment grade and high yield), a category that continues to benefit from steep yield curves and strong fundamentals.
Our updated heat map and senior investment leaders’ best ideas in their respective asset classes provide further details and travel tips for broadening the scope of your portfolio horizons. May the road rise to meet you, and may you lose your concentration along the way — but only in the best sense of the word, of course.
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Endnotes
Sources
All market and economic data from Bloomberg, FactSet and Morningstar
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