The rapid integration of AI into finance poses significant risks to market stability and the global economy, necessitating diversification into non-digital assets and innovative risk management strategies to mitigate potential crises.
AI’s Impact on Financial Markets
AI’s fallacy of composition can amplify panicked human behavior, potentially accelerating stock market crashes by inducing all sellers simultaneously, even when individual actions might seem rational.
Cybernetic solutions like throttling sell orders (e.g., 500 shares at 5% market drop, 100 shares at 10% drop) can mitigate rapid sell-offs while maintaining order priority, preventing one-sided markets and circuit breaker timeouts.
Diversification and Non-Digital Assets
Non-digital assets like gold, silver, fine art, land, and natural resources can provide a crash-proof portfolio slice, unaffected by AI-driven stock market crashes due to their non-digital nature and absence from exchanges.
AI Limitations and Risks
AI systems lack human empathy, common sense, and intuition, crucial for decision-making and avoiding catastrophic outcomes at scale, as noted by the speaker who has built AI systems for the CIA and proprietary trading.
AI’s imitation of human calculations without intelligence, combined with its anthropomorphization, can lead to instability in stock exchanges and securities trading, potentially causing losses of all money in minutes during flash crashes.
AI Bias and Manipulation
AI’s generative capabilities can create fake news and manipulate markets, as demonstrated in James Rickards’ book scenario where deep fakes are used to fabricate a Federal Reserve chairman’s speech to influence market behavior.
AI’s bias stems from its training set, primarily the internet since 1996, with engineers attempting to eliminate certain biases, potentially leading to censorship and deplatforming of content they disagree with.
Global Security Concerns
AI’s complexity, speed, and interactions could potentially lead to flash wars and nuclear annihilation before human intervention, as AI systems escalate situations based on their training sets and optimization algorithms.