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The $1 Trillion AI Buildout | State of Markets

September 30, 2026

AI Summary

5 min read

“Eight of the top 10 value companies in the world are US tech companies,” David George opens, setting the stage for a conversation anchored in numbers. Since the release of GPT-3.5 nearly four years ago, the market is up 90%—a 17% annualized return. The natural instinct is to assume a correction is due. But the a16z team argues that this cycle is fundamentally different from the dot-com era or 2021. Stocks are up roughly 20%, but trading multiples are down about 20%, meaning the performance is driven by earnings, not speculative expansion. The S&P 500 earnings multiple sits below 20 times, and some cyclical memory companies trade at six or seven times forward earnings. “It's nothing like the dot-com boom,” they emphasize, where the highest market cap companies traded at 100 times P/E on no earnings.

The $1 Trillion AI Buildout and the Infrastructure Boom

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What you'll learn

  • 1 State of Markets: The $1 Trillion AI Buildout
  • 2 (00:00) **Tech Dominates the Economy** - Eight of the top ten most valuable companies worldwide are US tech firms; tech now accounts for roughly 55% of US capital spending
  • 3 (05:23) **Is It a Bubble? Earnings vs. Multiples** - Stocks are up ~20% while trading multiples are down ~20%, meaning performance is driven by fundamental earnings, not speculation
  • 4 (07:15) **Hyperscaler Capex Approaching $1 Trillion** - Alphabet, Amazon, Meta, Microsoft, and Oracle will spend ~$780B in 2026, up from $416B in 2025, with expectations to exceed $1 trillion annually by 2027
  • 5 (08:40) **Forecasts Keep Getting Revised Up** - Successive capex forecasts for the top five hyperscalers have moved sharply higher as demand for compute keeps expanding
  • 6 (10:21) **Supply Chain Constraints Through 2028** - Certain elements in the data center supply chain are booked until 2028, reflecting insatiable demand
  • 7 (12:38) **The Industrial Boom Beyond Software** - Hyperscaler capex is someone else's order book, creating a broader technology boom that has become an industrial boom

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Guests on this episode

Show Notes

a16z’s David George, Sarah Wang, Alex Immerman, and Santiago Rodriguez unpack 25 key charts from the latest State of Markets presentation, from the scale of the AI infrastructure buildout to what adoption looks like inside companies today.

They examine why rising markets have so far been supported by earnings rather than multiple expansion, why hyperscaler CapEx is approaching $1 trillion annually, and why demand for compute continues to outrun supply. They also look at the downstream effects of that spending across chips, power, construction, and physical infrastructure. State of Markets

Then they move up the stack: OpenAI and Anthropic’s revenue growth, the gap between AI deployment and measurable enterprise impact, the rise of agents, falling inference costs, and what all of this means for SaaS. They close with where the team is spending time next, including consumer agents, robotics, autonomy, AI and biology, personal health, defense, and the continued diffusion of AI across the enterprise. State of Markets


Resources:

Follow David George on X: https://x.com/DavidGeorge83

Follow Sarah Wang on X: https://x.com/sarahdingwang

Follow Alex Immerman on X: https://x.com/aleximm 

Follow Santiago Rodriguez on X: https://x.com/santiago__rdz 

Read David’s piece ‘There are only two paths left for software’: https://a16z.com/there-are-only-two-paths-left-for-software/

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Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.


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