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Everyone thinks the United States is winning the AI race.
More money. More models. More headlines.
But after digging through Stanford research, Federal Reserve data, and direct insights from Elon Musk and Sam Altman… the reality is far more complex.
In this video, we break down the real AI competition between the U.S. and China across 7 critical dimensions — including compute, energy, open-source models, infrastructure, and global adoption.
And here’s the twist:
👉 The winner might not be the one building the best models.
👉 It might be the one scaling AI the fastest.
🚀 What You’ll Learn:
Why Elon Musk says AI is an energy problem
Sam Altman’s warning about open-source dominance
How China is quietly winning AI deployment
The 7-layer AI scorecard nobody is talking about
Why the AI race is shifting from innovation → industrialization
What this means for the future of AI, geopolitics, and power
⏱️ TIMESTAMPS:
00:00 – The AI Race Narrative Is Wrong
01:20 – The Frame
03:10 – The Timeline (2018–2026)
05:41 – The Real Scorecard: Seven Dimensions
10:29 – How The U.S. Is Reacting
12:40 – China’s Side Of The Story
📩 Join My Newsletter (Stay Ahead in AI):
👉 https://bitbiased.ai
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