Are hyperscalers investing faster than their revenue growth justifies?
Core argument: Hyperscaler capital spending and R&D nearly doubled from $460B in 2024 to $870B over the trailing twelve months, driving S&P 500 earnings breadth well beyond levels that ISM manufacturing surveys alone would predict—evidence of a powerful AI-led trickle-down across sectors.
The Q2 earnings season was positive for hyperscaler annual revenue growth: AWS 37%, Microsoft Azure 43% and Google Cloud 82%. Rising revenue backlogs reinforce evidence of AI monetization: Google Cloud’s backlog increased $52B to $514B, and the AWS backlog rose to $496B, up 36% q/q. Earnings growth is also more broad-based than it was in 2024-2025 when AI was the primary driver. Earnings growth appears highly contingent on continued hyperscaler capital spending and R&D which rose from $460B in 2024 to $870B over the last 12 months. The share of S&P 500 companies with positive expected earnings growth is normally well-predicted by the ISM manufacturing survey. But since the AI capital spending boom began, earnings breadth has eclipsed the improvement in manufacturing surveys; this suggests a powerful trickle-down effect from hyperscalers to other sectors.

