The post Aurum’s Bryan Benson on why AI may soon outperform human traders across crypto and FX markets appeared on BitcoinEthereumNews.com.

Artificial intelligence is changing how traders engage with fast-moving markets, and few people have watched this shift unfold as closely as Bryan Benson. After holding senior roles at Binance, he now leads Aurum, where AI-powered trading tools form the backbone of the company’s consumer-focused fintech platform. Because crypto and FX trade nonstop, and much of today’s global order flow is already handled by algorithms, Benson believes retail traders face a built-in disadvantage. Human emotion, slower reaction times, and scattered data all make it harder for individuals to compete with automated systems. In our conversation, Benson talked through why AI-driven strategies are starting to outperform human traders, how automation is reshaping market participation, and what retail users should keep in mind as AI becomes a more prominent part of everyday trading. From your time at Binance to your work now at Aurum, what limitations can you say human traders consistently run into that AI can handle far more effectively? From my time as a managing director at Binance to my current role as the CEO of Aurum, I keep seeing the same pattern: human traders are slow, emotional, and overloaded with information. Most retail traders cannot track dozens of pairs across several venues while following macro news and sentiment. Institutions solved this years ago with automation, and the majority of global trading volumes now rely on algorithms rather than manual execution. In U.S. equities, recent research and market data indicate that algorithmic systems now execute well over 60% of trading volume. As for the FX venues, machines already handle more than 70% of trading, demonstrating the profound impact of automation on the order flow today. AI trading systems handle this complexity with consistent logic. They follow predefined risk rules, systematically size positions, and process new data in milliseconds at any time…

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Filed under: News - @ December 9, 2025 12:24 pm