Dynamic, AI-driven investment strategies provide a framework for navigating high-volatility crypto and tech markets. Eric Jackson, founder of EMJ Capital, utilizes machine learning models to detect macro-level shifts, enabling tactical risk management rather than passive holding. This approach prioritizes identifying undervalued, "left-for-dead" companies—such as Carvana, Dave, and Peloton—that exhibit strong insider confidence and underlying growth potential. Beyond short-term trading, a long-term thesis remains firmly bullish on Bitcoin and Ethereum, projecting massive valuation growth fueled by the widespread adoption of agentic AI. By analyzing blockchain data and specific corporate signals, this methodology seeks to outperform traditional buy-and-hold strategies while mitigating the impact of severe market drawdowns. Successful investing requires both technical rigor and the willingness to engage directly with company leadership during periods of extreme market pessimism.
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