BlackRock broadens AI investments beyond early tech leaders

For the past few years, investing in AI essentially meant betting on a short list of mega-cap tech companies building the picks and shovels. BlackRock is now making a formal argument that the next phase of the trade looks different.

The world’s largest asset manager is restructuring its model portfolios, which manage approximately $300 billion in assets, to shift AI exposure away from the early pioneers and toward businesses that are adopting or directly benefiting from AI technology. The move also includes increasing overall allocations to large-cap U.S. equities while trimming regional tilts across U.S., developed, and emerging markets.

From infrastructure to application

The timing is deliberate. Q2 2026 earnings reports showed positive returns from capital expenditures tied to AI infrastructure, giving the firm data-backed confidence that AI spending is translating into measurable business outcomes rather than just balance-sheet promises.

CEO Larry Fink has signaled this direction in earlier communications, noting that a growing proportion of investors now prefer sectors like energy and infrastructure over mega-cap tech when thinking about AI-related opportunities. The numbers behind that preference are striking: only about 20% of clients in the Europe, Middle East, and Africa region identified the largest U.S. tech companies as their top AI investment opportunity.

What BlackRock is actually doing with the money

The portfolio restructuring has two main components. First, the firm is rotating within AI exposure, moving capital from companies that built the foundational AI stack toward what are sometimes called AI adopters or beneficiaries. These are businesses in sectors like industrials, energy, healthcare, and financial services that are integrating AI into their operations and beginning to show the productivity and margin benefits.

Second, BlackRock is pulling back on the size of its regional tilts across U.S., developed, and emerging markets.

The firm has projected that global AI-related capital expenditures could land somewhere between $5 trillion and $8 trillion by 2030. What it is doing is recalibrating where within the AI ecosystem it expects the best risk-adjusted returns to come from as the cycle matures.

Why this matters beyond BlackRock’s own book

When a firm managing this scale of assets repositions, it tends to move markets in the direction it’s pointing. BlackRock’s model portfolios serve as a template for thousands of financial advisors and institutional allocators. When the template changes, capital follows, often in size.

The practical implication is that companies in sectors historically not associated with technology, including power utilities supporting data center electricity demand, industrial automation firms, and healthcare technology companies, could see increased institutional inflows as the rotation plays out.

Disclosure: This article was edited by Diego Almada Lopez. For more information on how we create and review content, see our Editorial Policy.