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a16z partners break down 25 charts on AI's infrastructure boom

The venture firm's investors discuss hyperscaler capex nearing $1 trillion, enterprise AI adoption gaps, and where they're investing next.

Summarized from a16z, . 35-second read.

This story is from September 30, 2026. For the latest, see today's news.

In this video, a16z investors David George, Sarah Wang, Alex Immerman, and Santiago Rodriguez analyze charts from the firm's State of Markets presentation covering AI infrastructure spending and enterprise adoption. They discuss hyperscaler capital expenditure approaching $1 trillion annually, with demand continuing to outpace supply, and the ripple effects on chips, power, and construction.

The discussion also covers revenue growth at OpenAI and Anthropic, a gap between AI deployment and measurable business impact, falling costs, and shifts in the SaaS software market. They note that only a small fraction of enterprise AI usage is currently tracked, and that heavy users spend far more than typical ones.

The panel closes by outlining where they see future opportunity: consumer , robotics, autonomous systems, AI applications in biology and personal health, defense technology, and broader enterprise AI diffusion.

Read the full story at a16z

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