# Something Terrifying Is Happening

Pre-sleep reflection: Who will be the ultimate winner in the AI trading era?

If trading becomes fully AI-driven in the future, the essence of the market will evolve into a zero-sum competition of computing power and logic.

The appearance of trading is a game of capital, but its core is a contest of human nature. AI is fundamentally a logical collapse of historical data—it can approach rationality to an extreme degree, yet cannot quantify that unpredictable flash of irrationality within human nature.

When all traders wear the mask of AI, the homogenization of algorithms will inevitably trigger strategy crowding and capacity bottlenecks. At that point, money won't be made by those executing logic, but by the rare few who can "predict AI's predictions" or search for remnants of human warmth in algorithmic dead ends.

Further reflection: ⬇️

1. Who will lose money? (Victims of algorithmic homogenization)
Mediocre AI users: When everyone uses similar open-source models or mainstream strategies, AI generates synchronized trading. Everyone buys at the same millisecond, sells at the same millisecond. Result: profits are devoured by extreme friction costs (slippage), or the entire position gets liquidated in violent volatility.

Dogmatists relying on historical experience: AI is inductive reasoning based on historical data. Once reality experiences a "black swan" event never recorded in history (like unprecedented geopolitical conflict), AI will collapse into collective paralysis as its logic fails.

2. Who will make money? (Masters of dimensional attacks)
Rule-makers (computing power and channel giants): Regardless of winners and losers, exchanges and hardware vendors providing ultra-fast computing power always take their cut. This is the so-called "shovel sellers."

"Meta-strategy" developers: Those who can identify logical flaws in their opponents' AI. If I know your AI will definitely stop-loss at a 5% drop, I can precisely exploit your stop-loss orders to complete my position building.

Embracers of "extreme irrationality": Art, intuition, all-in gambling. These things treated as "noise" in models are precisely what AI struggles most to understand.

3. Why does AI face a "capacity bottleneck"?

Liquidity depletion: Trading requires counterparties. If AI algorithms all conclude "should buy," there will be no sellers in the market. This logical consistency causes the market to instantly lock up, losing liquidity.

Disappearance of mean reversion: AI operates too fast—it will erase all profit opportunities in one-hundredth of a second. Eventually, the market may fall into a "silent" equilibrium, unless new information that AI cannot understand is injected.

Final Summary

AI can beat ordinary people, but AI struggles to beat an "all-AI market." In that era, "pure rationality" will become cheap, while "high-quality irrationality" becomes a luxury.