Currency trading analyst Cody Burgat says that while artificial intelligence continues to reshape algorithmic trading, it does not remove risk from financial markets, cautioning traders against assuming advanced technology can substitute for sound risk management and disciplined strategy design.
“AI can improve efficiency, but it can’t repeal uncertainty,” Burgat explains. “Markets are probabilistic systems, and no amount of computing power can change that.”
According to Cody Burgat, one of the most common misconceptions surrounding AI-driven trading strategies is the belief that adaptive models can predict or avoid losses altogether. In reality, AI systems remain dependent on historical data, assumptions, and training environments that may not persist as market conditions evolve.
“AI learns from the past,” Burgat says. “But markets are constantly rewriting the future.”
Burgat notes that currency markets are particularly vulnerable to regime shifts driven by central bank policy, geopolitical developments, and sudden changes in liquidity. When these shifts occur, AI models trained on prior data may struggle to adapt quickly enough, leading to unexpected drawdowns or performance degradation.
“No model — AI or otherwise — has foresight,” says Cody Burgat. “They all operate with incomplete information.”
Another source of risk, Burgat explains, is overconfidence in model outputs. As AI systems grow more complex, traders may be tempted to trust results without fully understanding the underlying logic, increasing the danger of hidden vulnerabilities.
“Opacity doesn’t equal robustness,” Burgat says. “If a trader can’t explain why a strategy works, they may not recognize when it stops working.”
Burgat also emphasizes that AI does not eliminate practical trading frictions such as execution delays, slippage, transaction costs, or liquidity constraints. Even highly sophisticated models must still operate in real-world markets, where outcomes often diverge from theoretical expectations.
“AI trades in the same markets as everyone else,” Burgat explains. “It faces the same constraints — and the same consequences.”
Importantly, Burgat stresses that AI-based strategies experience drawdowns just like traditional algorithmic systems. Losses, periods of underperformance, and variance are inherent features of trading, regardless of the tools used to generate signals.
“Risk isn’t a bug,” Cody Burgat says. “It’s the price of participation.”
Looking ahead, Burgat believes artificial intelligence will remain an important component of algorithmic trading, but only when used as part of a broader framework that prioritizes transparency, testing, and risk control.
“AI can enhance decision-making,” he concludes. “But it doesn’t replace discipline, and it doesn’t eliminate risk.”
About Cody Burgat
Cody Burgat is a currency trading analyst focused on algorithmic trading strategies, artificial intelligence applications, and risk management. He provides independent analysis on foreign exchange markets and systematic trading approaches, helping traders understand performance, probability, and long-term durability.
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