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BlackRock Model Shuffle Moves $4 Billion Out of MTUM and $4 Billion Into CORO as AI Bets Shift From Builders to Beneficiaries

by Team Lumida
September 24, 2026
in Markets
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BlackRock Model Shuffle Moves $4 Billion Out of MTUM and $4 Billion Into CORO as AI Bets Shift From Builders to Beneficiaries
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  • BlackRock is reshuffling its model portfolios to favour large-cap stocks and to spread AI exposure beyond the companies building the technology. The iShares Large Cap Core Active ETF has taken in about $2 billion this week, its largest haul since March.
  • The firm dialled back regional bets across US, developed and emerging markets, pushing more than $4 billion into the iShares International Country Rotation Active ETF, and trimmed standalone momentum exposure, sending more than $4 billion out of the iShares MSCI USA Momentum Factor ETF.
  • Michael Gates, lead portfolio manager for the Target Allocation ETF model suite, said BlackRock is maintaining a 1% equity overweight and keeping its highest-conviction directional views, noting that several of the year strongest performers have grown into larger weights and correspondingly greater active risk.
  • Bloomberg Intelligence estimates trillions of dollars sit in model portfolio strategies, with BlackRock alone overseeing more than $300 billion, roughly double last year level. The global ETF industry stands at $22.5 trillion.

What Happened?

The reallocation reflects a broader shift in how investors are expressing AI exposure, moving from the companies constructing the technology toward those positioned to profit from using it. The Nasdaq 100 reached a record this week, though Middle East tensions and persistently elevated inflation complicate the picture. Separately, Bloomberg Intelligence research by David Cohne found active bond ETFs continuing to take share from mutual funds regardless of performance. Over three years the active ETF wrapper premium reached roughly 307 percentage points for funds beating their benchmarks and 105 percentage points for those trailing. Mutual funds that outperformed still saw median outflows of about 4% of starting assets. In short-term bonds, about 83% of mutual funds beat the Bloomberg US Universal 1-5 Years Index over five years, yet the group suffered cumulative outflows equal to roughly 19% of starting assets. Broader mandates fare better: about 98% of multisector bond mutual funds and 93% of ETFs beat the Bloomberg US Universal Total Return Index over three years, against 22% and 32% in high yield.

Why It Matters?

Model portfolios have become a flow mechanism powerful enough to reprice funds independently of anything happening in the underlying companies. One provider adjusting its allocations moved more than $4 billion out of a momentum ETF and a similar amount into a country rotation fund within days, and BlackRock model assets have doubled in a year to more than $300 billion. Advisers and investors holding these funds are exposed to reallocation decisions made elsewhere, by a committee they do not see, on a timetable they do not control. That is a different risk from market risk and it deserves separate consideration, particularly for smaller funds where a model-driven flow can dominate trading. It is also worth stating that BlackRock sits on both sides of this. It builds the models and it manufactures the ETFs those models buy, so a reallocation directs billions into its own products. That is disclosed in structure rather than hidden, and it is not unusual, but anyone evaluating these flows as a market signal should recognise they are partly an internal distribution decision rather than independent demand. The bond fund research carries the more uncomfortable lesson for active managers. Short-term bond funds beat their benchmark 83% of the time over five years and still lost roughly a fifth of their assets. Skill was demonstrated and not rewarded, because investors were choosing the structure rather than the manager. Cohne conclusion that the wrapper increasingly determines who converts skill into asset growth is the operative point for any firm running active strategies outside an ETF.

What Next?

Watch whether the rotation from AI builders to AI beneficiaries broadens, since that repricing was already visible this week when banks, insurers and booking platforms sold off on agent-related disruption fears. The Gates comment about strong performers growing into larger weights and greater active risk suggests further trimming is likely if concentration continues. Track model portfolio assets across providers, because at current growth rates these strategies will exert progressively more influence over fund flows, and the effect is most pronounced in smaller and newer ETFs. For advisers the practical step is identifying which holdings are heavily represented in third-party models, as those positions carry flow risk that has nothing to do with fundamentals. On the active side, expect more mutual fund to ETF conversions, since the evidence that structure beats performance is now quantified.

Affected Tickers and Coins: BLK, BLCR, CORO, MTUM, BWET

Source: Bloomberg

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Lumida's website (referred to herein as the "Website") is limited to the dissemination of general information pertaining to its advisory services, together with access to additional investment-related information, publications, and links. Accordingly, the publication of the Website on the Internet should not be construed by any client and/or prospective client Lumida’s solicitation to effect, or attempt to effect transactions in securities, or the rendering of personalized investment advice for compensation, over the Internet.

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