AI has moved from optional feature to central infrastructure across retail brokerage platforms, according to executives speaking at the Finance Magnates Singapore Summit 2026. Representatives from eToro, FXTRADING.com, Bridgewise and other firms highlighted how machine learning now underpins everything from client onboarding to trade execution and risk management, rather than functioning as a superficial add-on.
The panel discussed a critical tension emerging in the industry: while AI can process large datasets and surface market insights faster than manual analysis, its opacity creates polarised user responses. Traders either distrust AI-driven tools entirely or rely on them excessively without understanding the underlying logic. Thomas Kareklas from Bridgewise emphasised that AI is now built into core product architecture, while Adam Phillips from FXTRADING.com noted his firm acquired an in-house development team specifically to control its technology stack and data inputs.
eToro’s Yaki Razmovich described the platform as “AI-first,” embedding machine learning throughout the user journey including portfolio construction and personalised market intelligence. The discussion raised questions about whether these tools genuinely improve trader decision-making or primarily increase engagement and trading frequency, with implications for customer outcomes and regulatory scrutiny.
The shift poses operational and compliance challenges for brokers, who must balance innovation with transparency obligations and ensure AI-driven recommendations don’t inadvertently encourage unsuitable trading behaviour across different regulatory jurisdictions.
FXnCO Insight
Brokers integrating AI into core systems must develop clear explainability frameworks now, before regulators mandate them in response to client detriment claims linked to opaque algorithmic guidance.
Source: Finance Magnates