What's happening

BlackRock Chief Investment Strategist Wei Li, speaking in a Bloomberg video interview on May 22, 2026, attributed a substantial share of current equity market earnings upgrades to the proliferation of artificial intelligence across corporate operations and capital expenditure cycles. Li stated directly: 'We can look at AI lifting the whole market, but identifying where the bottlenecks are is a good active play.' The remarks frame AI not merely as a thematic narrative but as a measurable driver of fundamental corporate earnings revisions.

Supporting data cited in BlackRock's commentary indicates that upgrades to MSCI U.S. earnings expectations for both 2026 and 2027, accumulated over the past two quarters, rank in the top five such upgrade cycles recorded since 1988. That historical context places the current AI-driven earnings revision cycle among the most significant in nearly four decades of tracked data, underscoring the scale of the shift BlackRock is characterizing.

Why it matters for markets

The magnitude of the earnings revision cycle BlackRock is describing carries direct implications for institutional asset allocation. Upgrades to MSCI U.S. 2026 and 2027 earnings expectations ranking in the top five since 1988 represent a statistically rare event, and attribution of that cycle to AI adoption provides a directional signal that institutional strategists at firms managing trillions in assets are likely to incorporate into portfolio construction. BlackRock itself manages assets at a scale reflected in its $25.64 billion in annual revenue and a market capitalization of $166.57 billion, giving Li's commentary an outsized potential influence on capital flows.

For the two most prominent AI-infrastructure companies in public markets, the implications are quantifiable in existing valuations. NVIDIA, with a market capitalization of $5.22 trillion and trailing revenue of $253.49 billion, trades at a P/E of 33.0, while Microsoft, with a $3.11 trillion market cap and $318.27 billion in revenue, carries a P/E of 24.9. Both multiples embed expectations of continued earnings growth; a sustained institutional narrative linking AI to top-five-since-1988 earnings upgrade cycles provides a fundamental basis for those expectations rather than purely speculative support.

Li's specific framing around bottleneck identification within the AI ecosystem also signals a potential shift in how institutional capital is deployed. Rather than broad index-level exposure to AI themes, the commentary suggests active differentiation — directing flows toward companies positioned at constrained points in the AI supply chain, which could concentrate institutional attention on hardware, infrastructure, and enabling software layers rather than AI end-users broadly.

Sectors and assets to watch

NVIDIA (NVDA) sits at the most direct intersection of Li's bottleneck thesis. As the designer of the H100 and Blackwell GPU architectures that underpin the majority of enterprise AI training and inference infrastructure, NVIDIA occupies a supply-constrained position in the AI stack that aligns precisely with the active-play framework Li described. With a 52-week range of $129.16 to $236.54 and a current price of $215.33, the stock trades near the upper end of its annual range, reflecting existing market pricing of AI infrastructure demand. NVIDIA's $253.49 billion in trailing revenue and 42,000-person workforce represent the current scale of that positioning.

Microsoft (MSFT) represents the large-cap software and cloud layer of the AI earnings story. Its Azure cloud platform and Microsoft 365 integration of AI capabilities place it among the primary enterprise conduits through which AI adoption translates into recurring revenue. At a current price of $418.57 against a 52-week range of $356.28 to $555.45, and with $318.27 billion in trailing revenue, Microsoft's financials already reflect substantial AI-related commercial activity. BlackRock (BLK) itself, as the firm whose strategist is shaping this narrative, may see secondary attention as investors assess how the world's largest asset manager is positioning its own product flows — including iShares ETFs with AI-sector exposure — in response to its internal outlook.

What to watch next

Market participants will be monitoring whether BlackRock's public articulation of an AI-driven earnings upgrade cycle translates into observable shifts in institutional fund flows into AI-infrastructure ETFs and active strategies in the weeks following Li's May 22 commentary. Subsequent earnings reports from NVIDIA and Microsoft will serve as near-term data points to validate or challenge the top-five-since-1988 upgrade trajectory BlackRock has identified for MSCI U.S. 2026 and 2027 estimates. Additionally, any follow-on guidance from BlackRock investment committees or iShares product updates referencing AI bottleneck exposure will provide further clarity on how the firm is operationalizing Li's stated active-play framework.