U.S. industrial policy pours $600 billion into chipmaking, yet generative AI drives financial disappointment with 95% of projects unprofitable, compounded by a $25 million microcap fraud shaking market confidence. Meanwhile, rising AI agent cybersecurity risks expose critical enterprise vulnerabilities, as venture capital fundraising slows sharply in a tough tech investment climate. What does this mean for AI, chips, and markets?

🎯 WHAT YOU'LL LEARN: How U.S. government investments are reshaping semiconductors | The legal battle behind Nvidia and AMD export fees | China’s drive for self-reliance in AI chips | Why most generative AI projects are falling short | The resurgence of pump-and-dump schemes on public markets

📊 TIMESTAMPS:

00:00 Introduction and Today’s Topics

01:01 US Industrial Policy and AI Chip Wars

07:03 MIT’s GenAI Efficacy Research Insights

11:27 AI Agent Security Threats Explained

13:16 Market Update: Pump-and-Dump Schemes Exposed

16:19 Venture Capital Fundraising Challenges

17:34 Conclusion and Farewell

📈 KEY DATA COVERED: → $600 billion invested in semiconductor projects across 28 states → Pentagon becomes largest shareholder in U.S. rare earth mine → Micron pledges $200 billion in R&D and manufacturing → MIT finds only 5% of 300 AI projects yield positive financial returns → Only 33% of first-time venture fund managers (2021 vintage) raised second funds; just 12% for 2022

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📚 SOURCES & DATA:

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💰🤖 📈10% US Stake in Intel, NVDIA China Exports Falter, GenAI Fails ROI 95%, Pump-and-Dump Microcap Warning