MEXC's AI Trading Suite Reaches 2.35 Million Adopted Users in Six Months

MEXC has disclosed usage data showing rapid uptake of its artificial-intelligence driven trading tools since their introduction in mid‑2025. Adoption reached 2.35 million distinct users and produced 10.8 million total interactions across the suite, with the conversational assistant accounting for roughly half of all activity. Daily metrics indicate healthy engagement: the suite averaged about 93,095 active users per day and returned an average of 66,022 automated responses each day, while single‑day peak demand climbed to 156,523 interactions. The platform’s AI systems were subjected to an acute stress event during the market selloff on October 11, 2025, when interaction volume spiked to more than 168,000 requests, about double typical traffic, revealing both load patterns and user reliance on automated guidance during volatility. Feature deployment followed a staged timeline: initial screening and signal tools were introduced first, chart‑embedded predictive overlays arrived later, and personalized diagnostics and an integrated toolbox were rolled out subsequently to consolidate workflows. That sequencing suggests a deliberate path from discovery toward portfolio management and risk controls, aiming to convert casual explorers into persistent traders. From an operational perspective, sustained high-frequency interactions and peak throughput events provide data to refine latency, concurrency management, and model prompt engineering. Commercially, the usage concentration around the conversational interface highlights an entry point for deeper monetization, while the cross‑module integration supports stickiness by embedding AI into routine trading decisions. However, increased dependence on algorithmic guidance raises questions about model governance, explainability, and the potential for correlated behaviors that could amplify market moves in stressed conditions. Regulatory scrutiny is likely to follow as exchanges layer automated advisory features onto retail flows, particularly where influence on trade execution or risk management is implicit. For competitors and incumbents, MEXC’s metrics act as a benchmark for AI-driven engagement: rapid adoption at scale is feasible, but reliability under duress and transparent controls will differentiate market leaders. In sum, the report signals product traction and an operational learning curve that will determine whether AI becomes a defensive utility for traders or a growth engine for the exchange.