Traders Union research: Many traders use AI, but few make profits
More than half of retail traders already use AI in trading, but only a small share actually see real profits. A new Traders Union study shows a clear gap between the popularity of these tools and their effectiveness.
In the report “How Traders Use AI,” Traders Union analysts note that the use of artificial intelligence in trading has become widespread among retail investors. According to the study, 58% of traders regularly use AI tools or algorithmic strategies, while another 27% have at least tried them. Only 15% of respondents said they do not use AI at all.
Overall, access to such technologies is available to the vast majority of users: about 85% of traders interact with AI in some form. The study surveyed more than 1,000 retail traders from different regions, including North America, Europe, and Asia, with experience levels ranging from beginner to intermediate. This makes the data a representative snapshot of retail trader behavior.
The downside of AI
Despite high adoption, the effectiveness of AI in trading remains limited. According to Traders Union, only 21% of traders reported a noticeable improvement in profitability when using these tools. Meanwhile, 49% saw no significant change, and another 30% reported worse results.
The study shows that access to AI alone does not provide an advantage. Many traders use these tools inconsistently or treat them as a shortcut to profit rather than part of a structured trading system. As a result, expectations often do not match reality.
User behavior also plays a key role. More than 60% of traders override algorithmic decisions, and nearly half stop using AI after losses. This disrupts system logic and reduces overall effectiveness.
How traders use algorithms
The study also found that most traders do not use AI as a fully automated system. Around 46% rely on signal-based services that suggest entry and exit points, while the final decision is made by the user. Another 32% use semi-automated bots, and only 22% fully trust automated trading systems.
This usage pattern reduces the effectiveness of AI. Instead of a systematic approach, traders often combine different tools, вмешиваются в сделки, and change strategies on the fly. This increases the impact of errors, market noise, and the human factor.
Analysts note that AI delivers the best results only when used as part of a complete system — with high-quality data, stable execution, and proper risk management. Without this, even advanced algorithms fail to provide a consistent edge.
Earlier, Traders Union also published research on the best time to trade gold.
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