Disciplined AI agents are the disruptor needed to break the churn pattern of exchanges

In a matter of weeks, Anthropic unveiled new agents for finance, Circle launched nanopayments, MoonPay launched an agent debit card, and Gemini launched agent trading, signaling that the fight against agent finance is here. Even though the products are new, the underlying business model remains the same. Every exchange and brokerage platform earns more when customers trade more, and the data on the impact of this on customer portfolios is unambiguous. Ultimately, agent rails arrived faster than incentives changed.

Perverse Incentive Exchanges Hope You Miss

The conflict is structural for the industry. Brokerages and exchanges don’t need customers to earn, they need them to continue trading. Crypto exchanges and neobrokers have made trading faster, cheaper and frankly more addictive. The business reality is that banks profit when you stay, exchanges profit when you trade, and AI models profit when you ask. The agent you can trust with your hard-earned capital is outside of the three. An independent agent paid only when the client’s portfolio wins threatens the current incentive structure of brokerages and exchanges.

The truth is that commission-free trading is not free. In 2025, U.S. market makers paid more than $4.9 billion for order flow in U.S. stocks and options, compared to about $3.8 billion in 2021 for the 12 largest U.S. brokerages. The same principle applies to cryptocurrencies. Derivatives volume in Q1 2026 reached approximately $18.6 trillion, accounting for 70% of global crypto trading, with perpetuals dominating spot trading. Foreign exchange economics rewards speed of trading rather than disciplined decision-making.

At the height of its business, Robinhood relied on more than 75% of its revenue coming from payment for order flow (PFOF), the hidden backbone of “free” trading, in which market makers pay brokers to route customer orders. Every broker using this incentive model needs its clients to trade often, even if frequent trading hurts long-term returns.

The advice is no better. Robo-advisors charge 0.25% of assets per year whether the account is going up or down. Human advisors charge about 1 percent, billed to principal, even in bad years. Extraction is built into the model by design: the advisor gets paid even when the client loses.

Less exchange friction makes it easier to repeat bad transactions

The hard truth is that exchanges need customers to trade more, not to earn. When retail investors lose, the stock markets still get paid. A study by PiP World found that 74-89% of retail users lose money while trading. Platforms charge at every step, and an AI-powered trade might just get you back to 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. Removing friction leads to more trades, which creates more order flow. Greater order flow means more money for the broker, whether the client’s profit and loss (P&L) is up or down.

Enter AI Agents, Paid to Improve Customer P&Ls

What disrupts this vicious cycle for retail traders is the agent built to do what the existing exchange model avoids: trade less, downsize, wait, and protect customers from their worst impulses. In volatile markets, the best solution is often to decline the bad trade and reduce exposure before emotion takes over. Ultimately, be disciplined when the market wants a reaction. Discipline is a hard sell for an exchange because it reduces order flow. An agent who wins by protecting clients’ P&Ls breaks the current incentive model.

The next battleground is who benefits from agent order flow.

Regulators are crushing the old “free trade” model. The European ban on PFOF comes into effect on June 30, 2026, removing the revenue line behind “free” trading for German and Austrian neobrokers. Trade Republic, a European savings platform, has already found another way to obtain a BaFin license to internalize order flow.

While TradFi works to fix the leaks, cryptocurrency builders are racing to rebuild the on-chain rails for AI agents. In markets with tiny spreads, fragmented liquidity and millisecond execution, agents transact through nanopayments infrastructure like Circle’s protocol. Gasless trading on Perpetual Hyperliquid DEX reduces friction, but maker-taker fees still apply. The real fight ahead is not who removes the friction, but who benefits when agents start hammering those 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 minimal costs they barely notice. Each agent built by an exchange will inherit the exchange’s incentives. Would an exchange build an agent that sends trades over the tracks of a cheaper competitor? Not on purpose.

Whereas an independent agent has only one job: to grow and protect the client’s portfolio, routing transactions to where they work hardest for the client. Programmable incentives coded in smart contracts tie agent incentives to wallet earnings. The client can see where the money goes, check how much the agent is paid, when and why. With independent agents, the customer retains more of the value that was flowing to the exchange via order flow, markups, and unused cash interest on the exchange.

The agent is rewarded for disciplined trading, not constant trading. He can trade often when the signal is strong, reduce his exposure when risk increases, and walk away when the market is just noise. The first agent platform that proves this alignment on the chain will offer retail investors a fairer counterpart, whose economy will finally evolve in the same direction as theirs.

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