Thoughts on AI's Impact on Traditional Financial Instruments by Year-End

Been pondering how the accelerating pace of AI development might start overtly influencing the more traditional market sectors beyond just the tech giants. We're seeing AI creep into everything from healthcare to logistics, and it's not a huge leap to think it'll start showing up in unexpected correlations or even lead to some price dislocations in markets like commodities or even currencies, as algorithms become more sophisticated at parsing geopolitical and economic data points.

Specifically, I'm thinking about something like $SLV. With its recent move to 50.78, the conventional wisdom often links it to inflation fears or safe-haven demand. But what if AI-driven analysis starts finding deeper, less obvious connections between, say, supply chain disruptions (itself increasingly optimized or vulnerable to AI) and industrial demand for silver, or even AI's own energy consumption patterns creating unexpected demand spikes? I'd put a rough 60% probability that by end of Q4 2024, we'll see at least one significant, unexplained move in a commodity or currency pair (e.g., $USDTHB) that's later attributed, at least anecdotally, to the increasingly complex and opaque decisions of AI-driven trading systems. It's not about an AI 'bubble,' but more about the second-order effects of its integration into broader economic activities. Just my two cents, not a forecast to trade on, obviously.