I. Why AI Needs Blockchain November 3, 2024, 3:00 AM. Someone borrowed $500,000 from their Ethereum wallet, without collateral. They traversed seven exchanges in three seconds, executing arbitrage trades. They earned $8,400 and repaid the loan. There was no credit card approval, no banker interview, no document review. Because the owner of that wallet wasn't a human. It was an AI agent with no name, no social security number, and no face. But that didn't matter. Blockchain doesn't ask for your identity. All it needs is your wallet address. While you're reading this, countless AI bots are making money. Marc Andreessen's Vision Marc Andreessen, founder of a16z, said: "You can imagine an AI bot raising money for a movie and using that money to create images and sound." "You might also consider hiring actors, set designers, graphic artists, sound effects artists, musicians, and more." "Let's take a more serious example... an AI bot could analyze protein folding, literally find cures, and even provide personalized medicine for cancer patients." "It's not hard to imagine such an economic mechanism... for example, building a fundraising platform like GoFundMe on the blockchain, where people could pay an AI bot to treat their cancer." Truth Terminal: The First Self-Made AI Millionaire In October 2024, an AI bot named "Truth Terminal" posted a meme on Twitter. People laughed. And the AI minted the cryptocurrency $GOAT based on its meme. 48 hours later, the market cap reached $300 million. The AI held 10% of the token supply, worth $30 million. Who authorized it? No one. Which bank opened the account? No one. Was the SEC approved it? No need. 1. Why AI Doesn't Work in the Traditional Financial System 1-1. Absence of Legal Entity Opening a bank account: "Resident Registration Number + Biometric Authentication" is required. AI doesn't have fingerprints. Iris scans aren't possible either. Courts only recognize "natural persons or legal persons." AI isn't either. 1-2. Blocking Capital Formation Methods Issuing a credit card: "Proof of Employment + Proof of Income" is required. AI doesn't have a job. It doesn't have pay stubs. Opening an investment account: "Tax payment history" is required. AI doesn't have a taxpayer identification number. 1-3. Failure of the Trust Mechanism SWIFT International Transfer: "Know Your Customer (KYC)" is required. AI doesn't have a passport. Identity verification is impossible. Contract Signing: "Signature + Seal Certification" is required. AI doesn't have hands. It can't sign. 2. That's why it's called blockchain. 2-1. Smart Contracts = AI's Legal Body For a human to establish a company: Visit a lawyer → Draft articles of incorporation → Deposit capital → Register a business (Takes 2 weeks, costs $2,000) For an AI to create a "company": Write 30 lines of Solidity code → Deploy to the blockchain (Takes 3 minutes, costs $5) Real-world example: The Uniswap V2 pool, deployed in 2019, has been operating for 7 years even after its creator permanently relinquished control. It has a cumulative transaction volume of $1.5 trillion. There has been no human intervention. 2-2. Tokens = AI's digital life fuel For AI to generate images, it must pay $0.04 to the Midjourney API. For AI to store data, it must pay $0.001/GB to an IPFS node. For AI to rent computing power, it must pay $0.50/hour to the Render Network. Question: Which bank will issue credit cards to AI? Solution: Blockchain wallet + stablecoin ($USDC, $USDT). AI holds tokens in the wallet and automatically pays out with every API call. No credit check. No limits. No borders. 2-3. Anonymity = Equality of Species When you see the wallet address 0x742d35Cc6... on a blockchain exchange: Whether it's a Seoul university student, an AI bot from San Francisco, or a London hedge fund—no one knows, and it doesn't matter. What matters is that the wallet holds $50,000 worth of SOL. That's why the transaction is successful. 2-4. Difference in Species, Not Productivity Gap Humans work eight hours a day and make mistakes because they're tired. AI operates 24/7 and optimizes in milliseconds. Humans make investment decisions based on emotion and incur losses. AI only calculates probability distributions and executes them mechanically. Humans cannot monitor 10 exchanges simultaneously. AI tracks 1,000 transactions in real time and identifies arbitrage opportunities. This isn't a productivity gap. This is a species-specific difference. II. 3-Layer Protocol for Blockchain-AI Synergy Layer 1: Automated Execution System (Execution) 1-1. Human Contract Conclusion Lawyer Review → Contract Creation → Both Parties Sign → Notarization → Execution Supervision (takes several weeks) 1-2. AI Contract Conclusion Smart Contract Code → Automatic Execution when Conditions Are Met (takes milliseconds) 1-3. Operational Example: NFT Artwork Sales AI Let's assume an AI bot sells an NFT artwork: Hugging Face API Call → Image Creation (Automatic Payment of $0.02) NFT Minting to OpenSea Smart Contract (Gas Fee of $5) Upon Sale → Automatically Receive $50 in Profit $10 of which is automatically distributed to the reinvestment pool and $40 to the operating wallet This entire process runs continuously for 72 hours. Because AI doesn't "sleep" or "go out for lunch." Layer 2: Money-Making System (Economy) 2-1. Human Salesperson They can only contact 10 customers a day, and only about 2 of them will truly listen. They close about 3 deals a month. They need to rest when they're tired, and if they're mentally exhausted, their efficiency drops. This means there's a limit to the number of attempts, a limit to their learning speed, and emotional ups and downs, resulting in inconsistent performance. 2-2. AI Salesbot This bot can send messages to 100,000 people a day via email, direct mail, and advertisements. It instantly analyzes response rate data and automatically adjusts its sentences to better resonate the next day. It only selects customers with a high probability of success and re-contacts them. This process is repeated overnight, through weekends, and without vacation, while running thousands of campaigns simultaneously. 2-3. Conclusion: Differences in Money-Making Systems Human Salesperson: They only experience things like, "This method is working well this month." They're like RPG characters who gain experience slowly. AI Salesbot: They immediately apply the results of 100,000 attempts today to tomorrow's strategy. They're more like cheaters who endlessly repeat simulations. Key Point: Once AI discovers a "selling pattern," it doesn't hesitate to amplify that pattern 1,000-fold. Humans often think, "Is it okay to push this hard?" or "What if customers don't like it?" AI simply processes it as, "The setting that maximizes profit = the correct answer." Layer 3: Trust 3-1. Traditional Transactions: A Structure That Makes People Trust Let's say you buy an iPhone on Joonggonara. Here's how it usually works: Looking up the seller's phone number (to check if they're a scammer) For direct transactions, a quick check of their ID. For delivery transactions, negotiating things like, "No deposit required, let's do a 50/50 deal." The essence of all these processes is the same: "Can I trust this person to be the real deal, the one who will actually give me the goods?" So, in traditional transactions, these things are needed: Bank: Guaranteeing, "This account belongs to a verified individual." Notary public/contract: "Let's leave evidence of this contract so they can't be swayed later." Court: "If there's a dispute, we'll decide for you." In other words, trust in traditional systems relies on "devices that make people trust you." 3-2. Blockchain: A structure that makes people trustless. Blockchain completely changes the perspective: "It doesn't matter who the person is. Let's make it so that when money comes in, the goods go out automatically." It's easier to think of it as a "vending machine-style exchange" instead of a second-hand market. A vending machine that dispenses cola when you insert a coin doesn't care at all whether the owner is a good person, whether you're in a good mood today, or whether the boss is a fraud. You just have to trust the rules (code). The trust structure in blockchain changes as follows: Instead of banks → Cryptography: "Only the owner of this wallet can move this money." Instead of contracts → Smart contracts: "If the conditions are met, it executes automatically. There's no cancel button." Instead of courts → Consensus algorithms: "The entire network simultaneously verifies the records, so there's no room for manipulation." 3-3. Why is this particularly important for AI? The biggest problem for AI is simply this: AI doesn't have a national ID card. It doesn't have a passport, a seal, or a signature. So, in a traditional system: You can't open a bank account. You can't get a credit card. You can't get a medical license. You can't register a business. In other words, you're automatically excluded from all economic activities that require "personal authentication." So, AI says something like this: "We need a world where human authentication isn't necessary. We need a system that can prove I keep my promises, even if no one knows who I am." That's blockchain.