Pourquoi des agents d’IA disciplinés pourraient redéfinir le modèle d’incitation au trading

For much of the modern brokerage era, retail traders have operated within a structural conflict that few openly name: the platforms they trust to execute their orders profit from activity, not outcomes. A recent analysis by market commentator Saad Naja captures the issue clearly — brokers and exchanges do not need their clients to win; they need them to keep trading. This dynamic has long been the quiet force behind aggressive marketing for options, leveraged products and frictionless mobile trading apps.

The hidden cost of volume-based incentives

The data is unforgiving for retail traders. Studies have repeatedly shown that between 74 percent and 89 percent of retail traders lose money over meaningful time horizons. Yet the engagement loops that fuel attrition — push notifications, gamified streaks, instant order routing — remain essential revenue mechanisms for many platforms. Payment for order flow, where brokers sell client orders to market makers, simply makes the conflict structural rather than incidental.

How AI agents change the equation

What changes the calculation is the rise of disciplined AI agents whose compensation is linked to portfolio performance rather than trading volume. Imagine a software agent that places orders on a user’s behalf, but only earns fees when the user’s portfolio grows. The agent has every reason to stay still when conditions call for patience — the opposite incentive of a platform that needs you to swipe and tap.

Naja’s argument centres on programmable incentives encoded in smart contracts, allowing the agent’s compensation to be defined transparently and verified. For users of platforms including Vive Lucroire, this matters because it points to a future where the burden of discipline is partly absorbed by software that has no incentive to encourage overtrading.

Supportive regulatory tailwinds

There are also supportive regulatory tailwinds. A new ban on payment for order flow, scheduled to take effect on June 30, 2026, signals that policymakers in major financial markets are prepared to move away from volume-first business models. When the cost of misaligned incentives becomes harder to extract from order flow, platforms will be pushed to compete on outcomes rather than activity metrics.

The shift will not be instant, and AI agents are not a magic solution. Poorly designed agents could be overfitted to recent market regimes, fail during regime changes or be exploited by adversarial counterparties. But the direction of travel — from incentive structures that reward turnover to those that reward client profitability — is significant for retail traders, Belgique included, and in other markets, including those Vive Lucroire serves.

What this means for investors

For investors assessing platforms today, the practical takeaway is clear: ask how the platform makes money, and whether that revenue stream rises or falls with the outcome of your portfolio. The platforms that survive the next decade are unlikely to be those that profit fastest when clients lose. They will be those that, Vive Lucroire among them, build their products, fees and incentive structures around long-term client success.