Nvidia commands over 90% of the GPU market as fierce competition intensifies. Google launches Gemini 3, a complex reasoning LLM powered by custom TPUs, and Microsoft and Amazon roll out robust end-to-end AI strategies with their own AI chips. Amid soaring AI infrastructure costs and persistent LLM hallucinations, world models may be poised to revolutionize AI: enabling cause-and-effect reasoning, real-world predictions, and autonomous robots.

🎯 DISCOVER

- How Google’s TPU-powered Gemini 3 challenges Nvidia’s GPU monopoly with autonomous AI tasks.

- Why LLM hallucinations persist and accuracy improvements often deepen errors.

- Why multi-trillion-dollar AI infrastructure investments risk low ROI and unsettle investors.

- How ASIC chip specialization by Microsoft, Google, and Amazon could disrupt Nvidia’s lead.

- Why hybrid AI and world models could revolutionize robotics, manufacturing, and planning.

- How Microsoft’s fast-follow AI and exclusive OpenAI Broadcom chip access boost its edge.

🔍 TIMESTAMPS

0:00 Intro — Wins, Fails and the Future of AI

0:38 Nvidia’s Record Quarter and GPU Lead

1:08 Google’s Gemini 3 and TPU Advantage

2:03 Hallucinations: Accuracy vs Confidently Wrong

3:51 The AI Investment Bubble and ROI Concerns

4:42 Trillion-Dollar Infrastructure Commitments

7:58 Future Shift: World Models and Hybrid AI

10:55 Robotics, Fast-Follow Strategies and Chip Competition

14:48 Key Trends to Watch for 2026 and What No One Knows Yet

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📚 SOURCES & DATA

- AI Reality Check $400B Market: https://youtu.be/32-uTzeRHTw

- Nvidia Q3 2025 earnings and AI chip sales: https://www.wsj.com/tech/ai/nvidia-earnings-q3-2025-nvda-stock-9c6a40fe

- Google Gemini 3 AI launch and TPU innovation: https://www.reuters.com/business/media-telecom/google-launches-gemini-3-embeds-ai-model-into-search-immediately-2025-11-18/

- Top AI chips comparison: Nvidia, Google TPUs, AWS Tranium: https://www.cnbc.com/2025/11/21/nvidia-gpus-google-tpus-aws-trainium-comparing-the-top-ai-chips.html

- DeepSeek worst hallucination rates in AI: https://www.nature.com/articles/s43856-025-01021-3

- Gemini 3 reliability and hallucination benchmark: https://the-decoder.com/gemini-3-pro-tops-new-ai-reliability-benchmark-but-hallucination-rates-remain-high/

- Tech must deploy $500B by 2030: https://www.bain.com/insights/topics/technology-report/

- Meta spending $600B on AI data centers: https://www.reuters.com/business/meta-plans-600-billion-us-spend-ai-data-centers-expand-2025-11-07/

- China’s $70B AI data center investment: https://www.goldmansachs.com/insights/articles/chinas-ai-providers-expected-to-invest-70-billion-dollars-in-data-centers-amid-overseas-expansion

- Additional DeepSeek and AI data center investment context: https://www.nytimes.com/2025/02/08/technology/deepseek-data-centers-ai.html

- DeepSeek impact on booming data center market: https://www.cnbc.com/2025/02/14/how-chinas-deepseek-could-boost-the-already-booming-data-center-market.html

- AI Chips & China:https://youtu.be/6Juw5ZiL3Es

- US-China Truce: Key Issues Unresolved: https://youtu.be/3F_zislTiKI

- Microsoft, Nvidia, Anthropic partnership details: https://www.morningstar.com/news/marketwatch/2025111881/microsoft-nvidia-and-anthropic-ink-45-billion-deal-that-furthers-a-big-critique-of-the-ai-trade

- World Models AI research comeback: https://www.quantamagazine.org/world-models-an-old-idea-in-ai-mount-a-comeback-20250902/

- MIT on LLMs understanding real world: https://news.mit.edu/2025/can-large-language-models-figure-out-real-world-0825

Full list: https://youtu.be/nIp8HGLQeNI

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