Buy Hold Rant
Nvidia + OpenAI: The $100B AI Power Play Investors Can’t Ignore
9/25/2025, 4:45:11 PM
Economic Summary
- NVIDIA committed a roughly $100 billion structured investment in OpenAI, paid over years by milestones, which strengthens NVIDIA's customer demand for its chips and boosted NVIDIA's market cap immediately.
- OpenAI's primary revenue is from users and subscriptions rather than hardware vendors, meaning sustained user growth drives real, recurring demand for AI compute.
- There is meaningful competition in AI chips (e.g., Google's TPUs), so NVIDIA's current lead could be challenged and future growth may slow if supply capacity meets demand.
Bullish
- NVIDIA's large investment in OpenAI effectively secures a major long-term customer and future chip demand.
- OpenAI's revenue from users and rapid growth creates real, continuing demand for compute and chips.
- Structured, milestone-based funding spreads NVIDIA's investment over years, reducing upfront risk.
Bearish
- Circular investment between NVIDIA and OpenAI may artificially inflate valuations and create feedback risk.
- Competitors like Google's TPUs could erode NVIDIA's technological lead and chip dominance.
- Buildouts meeting demand could cause a slowdown in growth and reduce future chip purchases.
Bullish tickers
NVDAOPENAI
Bearish tickers
NVDAOPENAI
NVDA
Bullish
Strategic stake in OpenAI secures a major customer and long-term demand for NVIDIA chips amid strong AI revenue trends.
Bearish
Investment's circular effects may inflate NVDA valuation; competitors and demand slowdowns could hurt future growth.
OPENAI
Bullish
Fast-growing software revenue from users and businesses drives real demand for compute, benefiting hardware partners.
Bearish
Valuation may be inflated by large strategic investments and is exposed to capacity and execution risks.
GOOGL
Bullish
Google provides alternative AI hardware (TPUs) that can be adopted by major customers like OpenAI.
Bearish
Google's TPU offering represents competition that could limit rivals' dominance in AI chips.