#Gate广场AI测评官 If 100% of trades are executed by AI, will the cryptocurrency market become a slaughterhouse for retail investors?

We often say the cryptocurrency market is a "dark forest." If everyone in it is armed with a machine gun called "AI," will this forest become safer or will it be destroyed?

Recently, the whole world has been talking about AI. Videos generated by Seedance went viral on Twitter, and in our circle, the topic of "cryptocurrency" seems to have been forgotten by the market. Every group is asking the same question: "What did your AI do for you today?"

On social media nowadays, it's not uncommon to see various bloggers claiming: "The market is so boring right now, I'm trying to let my Agent hunt for prey on-chain." That sentence sends chills down your spine. We're used to treating AI as an asset to speculate on, yet few of us truly stop and think: if AI isn't the object of speculation but the opponent sitting across the table playing Texas Hold'em with you, how do you play that hand? This is the thought experiment I want to conduct with everyone today: When the trading subject of the cryptocurrency market shifts from "humans" to "silicon-based organisms," when retail investors, institutions, and market makers are all holding AI Gatling guns in their hands, what will this dark forest become?

What you think is "quantitative trading" is just a crippled calculator

Before we predict the future, we must clear away that most stubborn cognitive misconception. Even many veteran bag holders haven't distinguished between "quantitative trading" and "AI" by now. You can still see comments on social media saying: "Aren't those automatic coin-trading robots just AI?" This is a misconception. 99% of the so-called "quantitative trading robots" on the market today are essentially "Excel spreadsheets with automation features." Their logic is linear and rule-based: if RSI is greater than @E5@80, sell; if it breaks below MA120, cut losses. The problem with this hardwired brain is that it can't understand context.

Here's an example: suppose tomorrow Vitalik suddenly tweets that the Ethereum Foundation is about to sell @E5@100,000 Ethereum. At that moment, traditional quantitative robots are still staring at the K-line because the price hasn't dropped yet and the indicators haven't deteriorated. It might even trigger a "buy" signal because of a small rebound, and it won't cut losses until the cliff actually comes and causes losses. By contrast, a truly intelligent AI strategy will, within @E5@0.5 seconds of the tweet being posted, have its NLP module read the post, sentiment analysis determining "extreme panic," and the risk control module immediately issuing an order to clear long positions and reverse into a short. By that time, the K-line hasn't even had time to move. Traditional quantitative trading finds patterns in the "rearview mirror," while AI tries to "predict the future" through massive amounts of data-driven analysis.

Current AlphaGo-level strategies in real-time monitor the movements of tens of thousands of on-chain addresses, analyze the sentiment of hundreds of thousands of KOLs, and may even discover a rule you could never understand: "Every time Elon Musk changes his avatar and gas fees are below @E5@15 Gwei, DOGE has an @E5@87% probability of rising within @E5@10 minutes." This kind of non-linear high-dimensional correlation can only be processed by neural networks. So comparing grid trading to AI is like comparing an abacus to nuclear weapons.

If everyone has AI, where will the market go?

Assume technology has been democratized and retail investors can use GPT-5 to assist trading while institutions use proprietary black-box models. My judgment would be extremely pessimistic: we're heading for a monster market of "extreme liquidity polarization" and "flash crashes as the norm."

First, there's the "stagnant water effect" caused by absolute efficiency. In finance, there's a concept called the "efficient market hypothesis." The reason the crypto market is so profitable right now is because of massive information gaps—there are too many "idiots."

But in an all-AI era, any tiny arbitrage opportunity (like a DEX price being @E5@0.1% slower than a CEX) would be erased by tens of thousands of AIs at microsecond speeds. This means technical analysis is completely dead. Stop drawing trendlines—any pattern you can see, AI has already seen @E5@100 million times over.

Most of the time, the market will become a pool of stagnant water with prices so precise they're chilling and volatility so low it'll put you to sleep.

Second, there's the "super flash crash" caused by synchronization. This is the scenario that triggered the most fear in my analysis.

Although AI is smart, the textbooks it learns from (data) are the same. They're all reading the exchange K-lines, reading Etherscan data, reading Bloomberg news. Same input, similar logic—won't the output converge? When the market encounters a specific signal, might thousands of top AIs worldwide simultaneously reach the conclusion "sell" in the same microsecond?

Without human hesitation and luck, tens of trillions in sell orders instantly slam into the orderbook and liquidity evaporates. Bitcoin could drop @E5@90% in @E5@1 second, then get pulled back up the next @E5@1 second when AI discovers it was undervalued. This kind of "algorithm resonance" flash crash, in a @E5@7x24 hour, uninterrupted crypto market, would be nuclear annihilation-level.

What's more terrifying is that this risk won't provide early warning. Because everything happens at the threshold switch within the model, not in the publicly observable market sentiment.

Finally, there's the "Turing test" in the dark forest. Now whale traders wash their trades by drawing lines to deceive retail investors; in the future, whales (institutional AI) will deceive other AIs. This will evolve into "adversarial attacks": institutional super-AI deliberately creates complex, seemingly "accumulation" fake moves on-chain, deceiving retail AI models into issuing buy orders. By then, the chain will be filled with false noise and true signals will be completely drowned out by algorithmically-generated illusions. This isn't a financial market at all—it's an electronic gladiatorial arena for silicon-based organisms. This situation could even spread beyond trading, infiltrating our cherished "community governance" and "DAOs."

Imagine a new Layer @E5@2 project starting an airdrop. In the past, it was "Sybil attacks"—one person controlling hundreds of wallets. That was manageable; you could detect it by checking for correlations.

In the future? It's AI-driven super Sybils. Behind each wallet is an independent AI Agent. It has its own personality, its own Twitter account (not just retweeting, but making memes, even arguing with real users), its own on-chain interaction patterns (some like playing NFTs, some like DeFi, some even deliberately lose money to simulate real retail investors). You can't tell who's human. When you enter a project's Discord or Telegram, you find it bustling with activity, everyone discussing technology, shilling coins. But in reality, maybe @E5@99% of the accounts are controlled by the same big wallet's AI matrix. The so-called "consensus" is just a bubble generated by computing power. This "failure of the social layer's Turing test" is scarier than price crashes. It will destroy the trust foundation that crypto relies on to survive. When "community" becomes a bunch of code talking to itself, Web@E5@3 truly becomes an empty shell. Once trust collapses, the market will no longer be a game of strategy—it will degenerate into pure computing power collisions. Then price is just a byproduct; what's truly being competed for is who can control the narrative entry point and traffic distribution.

The "technological democratization" of retail investors is a false premise

Someone will surely counter: "Institutions have AI, so do I! ChatGPT gave us the chance to challenge institutions."

Unfortunately, that's toxic chicken soup. In financial competition, the more technology advances, the higher the class barriers. This is an arms race through and through. You're using a MacBook Pro; institutions are using an H@E5@100 cluster next to the exchange trading floor; your AI analysis takes @E5@3 seconds; the institution's direct line takes @E5@5 microseconds. In algorithmic trading, being @E5@1 millisecond faster is winner-take-all; being @E5@1 millisecond slower means you're the sucker. When you're pleased with yourself thinking "I'm also using AI to trade," in the institution's eyes, you've merely upgraded from "manually sending money" to "automatically sending money."

If the future cryptocurrency market becomes pure computing power and algorithmic warfare, retail investors will have no chance at all. This is extremely brutal, but irreversible. The only way out: escaping AI's "blind spot"

By now, it seems the road is completely blocked. But precisely because AI is so powerful and so dependent on data, that's exactly where its fatal weakness lies. AI understands math, probabilities, logic, but it doesn't understand "madness," doesn't understand "faith," doesn't understand "memes."

AI is trained on historical data; it can only predict variants of "things that happened." But the most alluring part of the crypto market is that it can always birth things from nothing. Imagine when PEPE first came out or when BRC-@E5@20 inscriptions just started trading. From an AI's perspective, this would be judged as "garbage code, no fundamentals, infinite risk"—conclusion: don't touch it.

From a human perspective, you'd think "this frog is so cool, the community is so crazy, I don't know what it is but it feels like it's going to moon"—conclusion: go all in.

In the "@E5@0 to @E5@1" stage, in that chaotic moment when narrative is just sprouting and emotion is just taking flight, that's AI's blind spot. Because there's no data there, only emotion. Only humans can empathize with human madness.

So if the future really is all-AI, I believe the market will split into two extreme parts: one is the red ocean battlefield of mainstream coins—that's where gods fight, institutional AIs slash each other, prices are extremely efficient, and retail investors can barely earn Alpha;

The other is the "human reserve" of memes and ultra-early projects—that's AI's forbidden zone, the last battleground for humans to leverage emotion-based arbitrage, create narratives, and harvest bubbles.

At the end of trading lies humanities. After K-lines are optimized to death, our only remaining advantage is that we can understand what's "fun," what's "community."

AI can't calculate the birth of DOGE because it can't understand why humans would pay tens of billions of dollars for a dog's expression. The threshold for the future may become extremely high. We either evolve into cyborgs, learning code and algorithms to master these tools; or we regress into the most savage hunters, using intuition and insights into human nature to hunt.

The most miserable are those stuck in the middle, wielding graphs carved on boats, trying to find treasure in a new continent.