Unlike most AI opportunities locked in private markets, NVIDIA was a liquid, $420B public company when ChatGPT launched. This allowed retail investors to easily invest significant capital and realize a 10x return, a scale of accessible growth typically reserved for venture capitalists.

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NVIDIA's deep investment in OpenAI is a strategic bet on its potential to become a dominant hyperscaler like Google or Meta. This reframes the relationship from a simple vendor-customer dynamic to a long-term partnership with immense financial upside, justifying the significant capital commitment.

While the current AI-driven market feels similar to the late 90s, a key difference is the financial reality. Unlike many dot-com companies with no cash flow, today's tech giants like NVIDIA and Microsoft have massive, undeniable revenues and established customer bases, making valuations more defensible.

The strongest evidence that corporate AI spending is generating real ROI is that major tech companies are not just re-ordering NVIDIA's chips, but accelerating those orders quarter over quarter. This sustained, growing demand from repeat customers validates the AI trend as a durable boom.

The AI era is not an unprecedented bubble but the next phase in a recurring pattern where each new computing cycle (mainframe, PC, internet) is roughly 10 times larger than the last. This historical context suggests the current massive investment is proportional and we are still in the early innings.

Contrary to the instinct to sell a big winner, top fund managers often hold onto their best-performing companies. The initial 10x return is a strong signal of a best-in-class product, team, and market, indicating potential for continued exponential growth rather than a peak.

Despite bubble fears, Nvidia’s record earnings signal a virtuous cycle. The real long-term growth is not just from model training but from the coming explosion in inference demand required for AI agents, robotics, and multimodal AI integrated into every device and application.

Cramer's conviction in NVIDIA wasn't from a balance sheet. His "edge" came from privileged access at NVIDIA HQ, where CEO Jensen Huang personally demonstrated generative AI capabilities—like creating Cezanne-style paintings and AI clones—years before the technology became mainstream. This firsthand experience provided a unique informational advantage.

The debate on whether AI can reach $1T in revenue is misguided; it's already reality. Core services from hyperscalers like TikTok, Meta, and Google have recently shifted from CPUs to AI on GPUs. Their entire revenue base is now AI-driven, meaning future growth is purely incremental.

Veteran VC Navin Chaddha argues that AI's impact is an order of magnitude greater than previous tech waves. This is because AI's conversational interfaces democratize creation for billions, while its ability to reason and act provides a second 10x force multiplier, resulting in a 100x total opportunity.

AI startups' explosive growth ($1M to $100M ARR in 2 years) will make venture's power law even more extreme. LPs may need a new evaluation model, underwriting VCs across "bundles of three funds" where they expect two modest performers (e.g., 1.5x) and one massive outlier (10x) to drive overall returns.