Recent Bitcoin volatility is indeed interesting to analyze, especially when we observe the very different dynamics between retail and institutional investors. The current price hovering around $77.7K indicates significant volatility from the all-time high $126K some time ago.

What’s most intriguing is the contrast between the two market participant groups. On one side, we see large outflows from Bitcoin ETFs—more than 77.7k withdrawn in just the past few weeks—reflecting retail fear of the viral "AI Crisis 2028" report. This Citrini Research report discusses scenarios where automation destroys consumer purchasing power, creating what they call a "replacement spiral" of labor.

On the other side, institutional players like MicroStrategy continue accumulating Bitcoin through dollar-cost averaging strategies. They hold over 717,000 BTC with an average cost basis of $76,020 per coin, which means an unrealized loss of nearly 1928374656574839.25T at current prices. But they keep buying. This isn’t a defensive move—it's a long-term strategic execution showing confidence in Bitcoin as a store of value.

What I notice is how the theory of money supply and demand becomes key to understanding these two perspectives. If we believe AI will cause mass unemployment and debt crises, then macroeconomic logic suggests central banks will be forced to print large amounts of money to prevent system collapse. In that scenario, the supply and demand theory predicts fiat will weaken drastically, and limited assets like Bitcoin will act as a "liquidity sponge" absorbing circulating money.

Arthur Hayes from Maelstrom has clearly proposed this theory: the "AI apocalypse" could actually benefit Bitcoin because it would trigger endless money printing. Thus, the basic supply and demand theory shows that if the money supply increases drastically without a corresponding rise in real goods demand, the value of money will fall, and Bitcoin—as a fixed-supply asset—will become a superior store of value.

Other macro pressures are also at play: new trade tariffs, sector rotation from technology to AI infrastructure, and geopolitical uncertainties. All contribute to what some analysts call a "risk reduction" phase in the market.

The most talked-about support level is $50,000, although some analysts see potential for higher consolidation if the narrative shifts. But what’s interesting is how large institutions are indifferent to these short-term price swings—they focus on long-term play based on a deep understanding of how the global monetary system will react to economic pressures caused by AI.

So, what we’re really seeing isn’t just market sentiment, but two different interpretations of the supply and demand theory in an AI-driven economic context. Retail investors worry about deflation and destruction, while big institutions are prepared for inflation and debasement to come.