⭕️Within 2 years, the top 50 will include at least 10 AI projects.

#AI + Blockchain = Bullish

Key points:

- Apple, Google, Microsoft, Elon Musk, etc

- US vs EU

- Chatbot Overview

- Big Tech's AI Race

- AI blockchain projects

Why AI Remains a Long-Term Narrative⬇️

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Before delving deeper, a brief overview💡

• Apple - AppleGPT

• Google - Gemini, Bard

• Microsoft & OpenAI - ChatGPT

• Elon musk (xAI) - Grok

• Meta - LLaMa

• Samsung - Gauss

• Amazon - Q

• Tencent & Baidu, etc.

All the big tech companies in the world are developing AI Chatbot & AI language models.

It’s very obvious AI will be the next big narrative literally everywhere in the world.

That's all you need to know. Simple, right?

1⃣US vs EU

TL;DR

• Boosting Innovation and Competition

• Accessing National AI Resources

• Aiding Small Developers and Entrepreneurs

• Ensuring AI Safety and Trust

Contrary to previous concerns, AI regulation within the United States is moving in a business-friendly direction.

In addition, France, Germany, and Italy have rejected the EU AI regulation that was due in December.

In other words, the global race for AI supremacy has begun in earnest.

2⃣Chatbot Overview

• Global chatbot market to hit $5B in 2022

• CAGR of 23.9% expected from '22-'32

The AI market will be a key industry of the future, and countries will follow the U.S. lead in investing in it.

3⃣ Big Tech's AI Race

Big tech's investment in AI is ongoing and will only get more competitive in the future, as the chatbot market and platform share are closely tied.

For example, Baidu's market share dropped to 30% in April, thanks to MSFT's AI-powered Bing.

4⃣ Crypto + AI

Current generative AIs face three key challenges:

• Training : Big AIs need heavy compute and smart algorithms.

• Data Reliability : Trustworthy data is essential.

• High Costs : Specialized hardware like H100 is costly for startups.

Blockchain could fill generative AI's inherent gaps.

1) AI blockchain projects offer decentralized data marketplaces, potentially aiding in issues like data reliability and model training.

2) Decentralized cloud projects could offer a cost-efficient alternative to traditional high-cost AI models by reducing reliance on dominant providers.

5⃣AI blockchain projects

Remember, the biggest beneficiary of this competition is by Nvidia.

In other words, we need to pay attention to decentralized AI infrastructures.

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💡My Opinion

- Big tech is GPU-Rich, while most enterprises are GPU-Poor.

- In addition, The supply of GPUs, which play a critical role in AI, is currently challenged by geopolitical issues in the US and China.

- The global race for AI supremacy will continue, and "Decentralization" will become very attractive and important.

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