BlackRock's $8bn multi-strategy fund eyes AI as key alpha driver

Jeffrey Rosenberg, Senior Portfolio Manager of Systematic Fixed Income at BlackRock, manages a multi-strategy fund that has grown to $8 billion（約1.3兆円） in assets under management. The fund operates across three distinct investment streams: a core multi-sector fixed income strategy that generates returns from bond markets across geographies and credit types; a defensive equity long-short strategy that seeks to profit from both rising and falling stock prices while limiting downside risk; and a collection of macro strategies focused on global interest rates and relative-value trades.

The fund's structure reflects what Rosenberg identifies as the institutional preference for multi-strategy approaches in systematic investing. Rather than concentrating capital in a single bet or strategy, the fund blends uncorrelated strategies so that gains in one area can offset losses elsewhere. The critical mechanism behind this approach is BlackRock's use of fully systematised risk models—algorithmic frameworks that automatically adjust position sizes and exposures based on market conditions, mathematical optimization, and predefined risk limits. These models work to parameterize market beta (the fund's sensitivity to overall market moves) and factor exposure (its sensitivity to specific themes like value, growth, or momentum) before trades are executed, thereby reducing unintended risk concentration.

To broaden access to this investment approach, BlackRock has wrapped the multi-strategy framework into the IALT (iShares Systematic Alternatives Active ETF). Rosenberg explains that the goal is "to still deliver alpha and uncorrelated multi-strategy approaches and then wrap those into an ETF wrapper," extending availability to investors and funds that might not have the scale to invest in the direct fund. When Rosenberg analyzes the current investment opportunity set, he identifies AI as the dominant force reshaping economic activity at both macro and micro levels. Macroeconomically, he sees AI driving massive increases in capital expenditure, transforming energy markets as data centres consume growing volumes of electricity, and fuelling a "data centre revolution." At the sector and company level, AI is creating winners and losers across industries—some businesses will benefit from AI adoption while others face disruption or obsolescence. For a multi-strategy fund, this dispersion of opportunity across the economic landscape offers the potential to generate uncorrelated alpha by positioning across different strategies that capture gains from different parts of the AI-driven transformation.

BlackRock's $8 billion（約1.3兆円） multi-strategy fund reflects a broader shift in institutional asset allocation. Over the past several years, multi-strategy funds have become the de facto preference among hedge fund allocators because they combine strategies with low correlation to one another, reducing portfolio concentration risk. The key technical advantage BlackRock highlights is its use of fully systematised risk models that can parameterize and optimize positions to limit unwanted market beta and factor exposure before trades are placed—this systematic approach to risk management differentiates it from traditional discretionary hedge funds.

The introduction of the IALT (iShares Systematic Alternatives Active ETF) represents BlackRock's effort to democratize access to this alpha-generating structure. Rather than restricting multi-strategy investing to institutions with large capital pools, the ETF wrapper allows retail and smaller institutional investors to gain exposure to the same uncorrelated strategy blend. This aligns with a broader industry trend of moving alternative investment strategies into more accessible vehicles.

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