Has AI Turned Value into Growth? A Look at the Russell Rebalance

By Chris Zani

The reconstitution of the Russell indices is one of the more meaningful market events on the calendar each year, serving as a reset for how stocks are grouped across size and style indices. FTSE Russell rebuilds its indices by ranking companies based on their market cap while also categorizing them into growth and/or value buckets. With the recent runup in AI stocks, this year’s reconstitution, scheduled for June 26, will be larger with regards to value versus growth and large versus small. We’ll walk you through why the magnitude is larger this time, and how that fits in context with history.

The FTSE Russell indices are the hallmark of U.S. style investing, setting the benchmark for value, growth, large cap, and small cap. We focus this piece on Russell as opposed to other indices because rebalance frequency of other indices tends to be quarterly with greater buffers and turnover controls, while Russell’s is annual (although it is moving to semi-annual this year for large/small, not value/growth). Therefore, the annual buildup of movement amongst companies is implemented all at once.

We’ve seen the AI trade play out over the last 18 months, starting with the large hyperscalers and moving down the supply chain to data centers, semiconductors, then finally to any company that could possibly contribute to the ecosystem. This includes many value names long viewed as more cyclical. But their links to the AI ecosystem has caused the market to recalibrate their future earnings expectations. Exhibit 1 looks at the forward EPS growth rate of Russell 3000 Value stocks, just before and just after the reconstitutions. This year has seen the growth expectations of Russell 3000 Value stocks skyrocket, with the spread between future EPS growth of pre- and post-reconstitution the largest we’ve seen this decade.

 

Exhibit 1
Scatter plot shows forward EPS growth for Russell 3000 Value, with lower post-recon estimates across June 2021–2026.
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Source: FTSE Russell. Data as of May 2026.
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Scatter plot shows forward EPS growth for Russell 3000 Value, with lower post-recon estimates across June 2021–2026.
Source: FTSE Russell. Data as of May 2026.

Unsurprisingly, the weight shifting between the Russell 3000 Value and Growth indices is also the largest it’s been this decade. This year, the Russell 3000 Growth index is set to inherit 18% of the Russell 3000 Value, as highlighted in Exhibit 2. It’s important to note that these businesses within the Value Index have not fundamentally changed, but the market is assigning higher growth expectations to them. This imbalance highlights how much stronger the pull has been towards growth this cycle, driven in large part by the repricing of AI-related names.

 

Exhibit 2
Line chart shows % shifting from Russell 3000 Value to Growth, dipping in 2024 then rising sharply to ~25% by 2026.
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Source: FTSE Russell. Data as of May 2026.
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Line chart shows % shifting from Russell 3000 Value to Growth, dipping in 2024 then rising sharply to ~25% by 2026.
Source: FTSE Russell. Data as of May 2026.

As there are seismic shifts between growth and value, we’re also seeing similar dynamics between large and small cap. Exhibit 3 highlights the percent of the Russell 2000 (small cap) moving to the Russell 1000 (large cap). We’re seeing almost one-fifth of the small-cap index graduating into large-cap territory. While the new cohort of large-cap stocks will only make up 0.9% of the large-cap benchmark, it’s an important shift that will impact the makeup and complexion of large-cap stocks and the subsequent small-cap indices.

 

Exhibit 3
Line chart shows % of Russell small caps upgraded to large cap, fluctuating before rising sharply to ~18% in 2026.
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Source: FTSE Russell. Data as of May 2026.
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Line chart shows % of Russell small caps upgraded to large cap, fluctuating before rising sharply to ~18% in 2026.
Source: FTSE Russell. Data as of May 2026.

Given the magnitude of this change, we looked back through time to better understand the historical underpinnings. The scale of these shifts does echo the tech bubble from the late ‘90s in that both periods reflect a rapid repricing of future growth that forces markets to adjust quickly. In each case, a narrow group of companies tied to transformative technology drove outsized gains, pulling up index weights, migrating across size segments, and reinforcing growth leadership. That dynamic is clearly visible today in AI. There is, however, an important distinction. Today’s AI leaders are more established, generate large cash flows, and are well capitalized to ride out troughs in the AI ecosystem buildout. However, more speculative names have emerged alongside them, riding the AI narrative in a way that feels like the tech bubble environment. As the cycle matures, dispersion is likely to increase, with clearer winners and losers emerging. Over time, some of these more speculative names may ultimately mirror the outcomes seen during the unwinding of the tech bubble.

The size and magnitude of these shifts between growth and value, and to a lesser extent large versus small, might prompt investors to utilize a more core approach rather than breaking allocations apart. As highlighted above, a great deal of turnover will be needed to bring risk parameters back in line. A core approach allows a manager flexibility to find both growth and value opportunities and more dynamically take advantage of shifts in the marketplace without being constrained by definitions that can change dramatically over the course of a year.

* Weights as of 5/27/26 and on initial Russell reconstitution weight data.