Something strange has been happening in the crypto market over the past few weeks. Bitcoin fell below $63K, then rebounded to $77K, but that doesn't reassure investors. All because of that report from Citrini about the "global intelligence crisis in 2028" — it has become a real catalyst for panic across all markets.

So, what actually happened? In October, BTC was trading at around $126K, then dropped 50%. This isn't just a price correction — it's volatility we haven't seen in a long time. Macroeconomics, trade tariffs, AI reports replacing jobs — all of this has blended into a dark cloud of uncertainty.

The most interesting thing is that institutional players are not fleeing. MicroStrategy, led by Michael Saylor, just bought another $40 million BTC. Their position is now close to 717 thousand coins at an average cost of $76K per coin. This means they are sitting on nearly $10 billion in unrealized losses. But they continue to buy. This is called dollar-cost averaging — simply accumulating regardless of the price.

Earlier, over $1 billion was withdrawn from Bitcoin ETFs in February. Retail investors panic, but big players are playing the long game. They believe that if AI truly triggers an economic crisis, the Federal Reserve will be forced to print money in unprecedented volumes. And Bitcoin, as a limited asset, will become a "liquidity sponge."

Technical analysts are watching the $50K level as a key psychological support. If the price drops below, further decline could be much worse. But there’s another view — Arthur Gays, CIO of Maelstrom, says that this whole "AI apocalypse" is actually beneficial for cryptocurrencies in the long term.

Geopolitics also plays a role. New tariffs, trade tensions, capital rotation from crypto to semiconductors — all putting pressure on the price. ETF hype has faded, "passive" demand has disappeared.

For now, the market is searching for a bottom. The contrast between what institutions are doing — ( accumulating — and what retail investors are doing — ) selling — defines the current landscape. The price will depend on whether AI truly triggers an economic crisis or if this is just another panic cycle followed by recovery.