eToro customers are using AI agents to conduct trading in their accounts 24 hours a day, according to CEO Yoni Assia [1].

This shift represents a fundamental change in retail investing, moving from manual decision-making to autonomous, algorithmic execution for the average user. The transition could redefine market liquidity and volatility if AI-driven trading becomes the primary method of interaction on major platforms.

Assia discussed the trend while reviewing the company's quarterly earnings results and the outlook for digital assets [1]. He said that the integration of these tools is part of a larger AI-driven transformation within the company's product rollout [1].

"Our customers are already using AI agents to trade 24/7 in their accounts," Assia said [1].

The company's internal team has spent the past six months working on the AI initiative [3]. This effort aims to expand investment access, and intelligence through the automation of portfolio management and trade execution [3].

Assia believes the trend will accelerate as the technology matures and becomes more accessible to the general public. He said that the current human-led model of trading is transitioning toward a more automated future [2].

"AI agents will eventually trade on eToro more than people," Assia said [2].

The move comes as financial platforms increasingly integrate large language models and autonomous agents to handle complex data analysis. By allowing agents to operate around the clock, users can react to global market shifts in real time without needing to monitor screens manually [1].

"Our customers are already using AI agents to trade 24/7 in their accounts."

The adoption of autonomous AI agents in retail trading suggests a convergence between institutional high-frequency trading and individual investing. If AI agents become the dominant force on platforms like eToro, it may lead to increased market efficiency but could also introduce systemic risks, such as flash crashes triggered by synchronized AI algorithms reacting to the same data triggers.