Anthony Pompliano warns: Interest rate expectations and the AI revolution may reshape asset pricing, potentially intensifying crypto market volatility

March 9 News: In the latest podcast episode, investor Anthony Pompliano and macro strategy researcher Jordi Visser discussed key variables currently facing the global financial markets, including interest rate policies, private credit risks, and the impact of artificial intelligence technology on asset pricing structures. They believe macroeconomic signals are becoming more complex, and investors need to reassess traditional investment logic.

Anthony Pompliano pointed out that when employment growth slows or turns negative, markets tend to preemptively bet on a shift in monetary policy, which directly affects asset valuation systems. Generally, rising interest rates suppress growth asset valuations, while falling rates may boost risk assets like tech stocks and cryptocurrencies. If inflation remains high, central banks might be forced to keep rates elevated; but if economic growth cools significantly, policymakers may choose to cut rates to stimulate the economy. These conflicting signals are increasing market volatility.

Another focus of the discussion was the rapidly expanding private credit market in recent years. Over the past decade, private credit has become an important channel for institutional funds seeking yields. However, Jordi Visser warned that if macroeconomic conditions worsen, some assets in this sector could face liquidity pressures. If funds withdraw en masse, some investment tools relying on long-term capital structures may struggle to meet redemption demands, potentially triggering broader financial risks.

The impact of artificial intelligence technology on industries also drew attention. Jordi Visser believes AI is reshaping corporate strategies and capital allocation, especially affecting the software industry. If AI tools lower the barriers to application development, the competitive moat around software companies could weaken, compressing valuation premiums for some tech firms.

Meanwhile, some traditional industries may benefit from the AI era. AI training and data processing require massive computing power, electricity, and data center infrastructure, so sectors like energy, semiconductors, and data center construction could attract more investment in future economic cycles.

The two guests also discussed changes in portfolio allocation. The long-standing “60% stocks + 40% bonds” investment model may face challenges amid rapid technological revolutions and macroeconomic shifts. More investors are considering more diversified asset allocation strategies to cope with technological disruptions and macroeconomic uncertainties.