Is AI Trade DEAD? 🤖 $835B Capex vs $2.4T Backlog: The Real Math💥

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TL;DR

AI trade isn't dead; despite challenges, $2.4T in planned infrastructure investment by 2030 signals growth.

Key Insights

AI infrastructure spending is expected to hit $3-4 trillion annually by 2030.

Inference margins for frontier AI models have jumped from 40% to over 70% in months.

Despite a rough week, companies like Micron have seen over 200% growth year-to-date.

Google is securing high bandwidth memory supply out to 2035 due to shortages.

AI compute demand is set to increase by a billion times, driven by AI agents.

The AI trade has a $2.4 trillion backlog, covering 2026 capex by nearly 3x.

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Deep Dive

Market Turmoil

The week was brutal for stocks with Micron down 14% and SpaceX 11.6%. Despite this, year-to-date numbers show companies like Micron up over 200%. Fear and greed index is at 19, indicating extreme fear in the stock market. The market's reaction is largely due to fear of a repeat of past tech busts.

Challenges in AI Infrastructure

Data centers face public opposition, and building them is complex, requiring years for permits and construction. The bottleneck isn't just chips; it's skilled labor and connectivity. The credit market for AI is tight, with rising costs due to Fed rate hikes. Anthropic is delaying its IPO, reflecting market uncertainty.

The Bull Case for AI

AI demand is driven by cheaper intelligence and increased training efficiency. Nvidia's market is diversified across computing, frontier labs, and startups. Inference is becoming highly lucrative, with margins rising from 40% to over 70%. Major cloud providers report significant revenue growth, showing investments are paying off.

Future Prospects

AI infrastructure spending is projected to reach $3-4 trillion by 2030. Nvidia expects to double growth next year. Google is securing memory supply out to 2035, indicating long-term demand. Despite some market fears, the AI trade is far from over, with a $2.4 trillion backlog supporting future growth.

Takeaways

✓Monitor AI infrastructure investments as they are set to grow significantly.
✓Consider the long-term demand for AI compute and memory when investing.
✓Stay informed about market fears but focus on the bullish long-term AI outlook.

Key moments

1:24Market Turmoil

“Fear and greed is at 19. Extreme fear in the stock market.”

5:30Challenges in AI Infrastructure

“Data centers are more unpopular in the United States than the Iran war.”

9:30Bull Case for AI

“Inference margins have gone from 40% to over 70% just in a few months.”

19:00Future Prospects

“AI infra is expected to reach 3 to 4 trillion per year by 2030.”

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