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Google, Amazon, and Meta are insourcing silicon; the question is how much share they can take.
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Free
Memory, power, networking, and deployment now dictate how fast AI compute can actually grow.
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Free
Full-stack analysis of Vera Rubin's CPUs, GPUs, networking, and pod-scale design, with execution risks and unverified efficiency claims assessed.
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Free
The investment thesis for AI accelerators hinges on whether this is a credible substitute or just negotiating leverage.
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Free
The answer hinges on whether HBM scarcity becomes structural or repeats the industry's six historical cycles of boom and bust.
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Free
Memory investments totaling $2 trillion may ease today's shortage but trigger synchronized price declines later
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Free
How yields, inflation, and global liquidity condition the durability of AI-driven capex.
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Free
Semiconductor buildout is real but cash-heavy; wafer fab, packaging, and memory cycles suggest NVIDIA margins stay lumpy through 2028.
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Open models reshape AI economics, but NVIDIA's real revenue engine remains proprietary hardware and enterprise licensing.
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Free
A scenario framework examining concentration, leverage, and forced selling that could turn a local tech correction into a synchronized selloff.
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Free
Widespread local resistance now blocks or delays AI infrastructure projects, making social license a key operating risk for investors.
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Free
NVIDIA's compute dominance faces a challenge as Microsoft, Cloudflare, and Snowflake chase the governance layer.