In a matter of weeks, Anthropic introduced new financial agents, Circle launched nanopayments, MoonPay launched a debit card for agents, and Gemini launched agent commerce, signaling that the fight for agent finance is here. While the products are new, the underlying business model remains the same. Every exchange and brokerage earns more when customers trade more, and the data on what that means for customer portfolios is unequivocal. Ultimately, agent lanes have arrived faster than incentives have changed.
The Wicked Incentive Trades I Hope You Miss
The conflict is structural of the industry. Brokerage houses and exchanges don’t need customers to win, they need them to continue operating. Cryptocurrency exchanges and neobrokers made trading faster, cheaper, and, frankly, more addictive. The trading reality is that banks make profits when you stay, exchanges make profits when you trade, and AI models make profits when you trade. The agent you can trust with your hard-earned capital is outside of the three. An independent agent who pays only when he wins the client’s wallet threatens the current incentive structure of brokerages and exchanges.
The truth is that commission-free trading is not free. In 2025, US market makers paid more than $4.9 billion for order flow in US stocks and options, up from about $3.8 billion in 2021 at the 12 largest US brokerages. The same principle applies to cryptocurrencies. Q1 2026 derivatives volume reached around $18.6 trillion, 70% of global cryptocurrency trading, with perpetuals dominating spot trading. Foreign exchange economics rewards trading speed over disciplined decision making.
At its peak, Robinhood relied on more than 75 percent of its revenue from payment for order flow (PFOF), the hidden backbone of “free” trading, in which market makers pay brokers to route customer orders. Every broker that uses this incentive model needs clients to trade frequently, although frequent trading works against long-term returns.
The advice is not better. Robo-advisors charge 0.25 percent of assets annually, whether the account is up or down. Human advisors charge about 1 percent, billed against capital even in lean years. Withdrawal is built into the model by design: the advisor gets paid even when the client loses.
Less currency friction makes bad trades easier to repeat
The hard truth is that exchanges need clients to trade more, not win. When retail investors lose, exchanges continue to collect. PiP World research found that between 74% and 89% of retail users lose money trading. Platforms get paid at every step, and an AI-enabled exchange could put you back on the same losing trade faster.
The SEC’s April 14 approval of FINRA’s elimination of the Pattern Day Trader rule removed the $25,000 minimum equity friction. Eliminating friction results in more transactions, which creates more order flow. Greater order flow means more money for the broker, whether the client’s profit and loss (P&L) is high or low.
Enter AI Agents, Paid to Improve Client P&L
The disruptor of this vicious cycle for retail traders is the agent created to do what the existing exchange model prevents: trade less, downsize, wait, and protect customers from their worst impulses. In volatile markets, the best course of action is often to reject the bad trade and reduce exposure before emotion takes over. Ultimately, maintain discipline when the market wants a reaction. Discipline is a difficult sell on an exchange because it reduces order flow. An agent who wins by protecting clients’ profits and losses breaks the current incentive model.
The next battleground is who benefits from the flow of orders from agents.
Regulators are cracking down on the old “free trade” model. The EU PFOF ban comes into effect on June 30, 2026, eliminating the line of income behind “free” trading for German and Austrian neobrokers. Trade Republic, a European savings platform, has already found another route to obtain a BaFin license to internalize order flow.
As TradFi scrambles to patch leaks, cryptocurrency creators are racing to rebuild on-chain rails for AI agents. In markets with small spreads, fragmented liquidity, and millisecond execution, agents transact through a nanopayments infrastructure like the Circle protocol. Gasless trading on perpetual Hyperliquid DEX reduces friction, but maker-taker fees still apply. The real fight ahead is not who eliminates friction, but who benefits when agents start forcing these frictionless rails with high-frequency trading.
Independent programmable agents are better intermediaries
Exchanges and brokers have spent years making money from customers trading more, understanding less, and absorbing minuscule costs they barely notice. Each agent created by an exchange will inherit the exchange’s incentives. Would a broker build an exchange that sends trades through the rails of a cheaper competitor? Not voluntarily.
While an independent agent has one job: to grow and protect the client’s portfolio, directing the operations where they work hardest for the client. Programmable incentives encoded in smart contracts link agent incentives to portfolio profits. The customer can see where the money goes, check what the agent is paid, when and why. With independent brokers, the client retains more of the value that used to trickle down to the exchange through order flow, profit margins, and interest on idle cash on the exchange.
The broker is rewarded for disciplined trading, not consistent trading. You can trade frequently when the signal is strong, reduce exposure when risk increases, and remain inactive when the market is just noise. The first agent platform to demonstrate this on-chain alignment will provide retail investors with a fairer counterparty, whose economy is ultimately moving in the same direction as theirs.
