A growing majority of Gen Z crypto traders are turning to artificial intelligence (AI) to guide their strategies and it’s making them less prone to panic selling.
Gen Z’s engagement with AI isn’t passive. The cohort averaged 11.4 days per month using AI tools, which is more than double users over 30. Furthermore, they accounted for 60% of all AI bot activations on the exchange.
Yet, they don’t leave bots running indefinitely, as 73% switched them on during volatility or news spikes and turned them off during low-volume, sideways markets. Overall, 58% of Gen Z AI interactions occurred during periods of elevated readings on MEXC’s internal volatility index.
This behavior points to fluid control rather than full delegation. Gen Z configures conditions and lets automation execute when emotions are most likely to interfere. They also check AI-generated signals 2.4 times more often than traditional indicators, suggesting they view machine output as the primary decision feed in fast markets.=
MEXC’s data indicates that AI is serving as both a risk-management layer and a convenience feature. Gen Z traders using bots were 1.9x less likely to trade reactively in the first three minutes of major events, a window that MEXC flags as prone to costly errors.
They were also 2.4x more likely to employ structured stop-loss and take-profit rules, reinforcing that automation is being used to maintain absolute boundaries, not just identify entries.
Cross-generational comparisons reveal that millennials continue to lean toward thesis-driven, chart- and report-heavy workflows, treating AI as a supplement to pre-set strategies.
Only 22% of millennials and 7% of Gen X reported turning to AI during high-volatility windows, versus Gen Z’s 73%.
Psychologically, millennials seek a sense of persistent manual control. Gen Z toggles autonomy based on stress, noise, and attention bandwidth, a pattern mirroring those seen in gaming and social platforms.
MEXC projects that by 2028, more than 80% of Gen Z traders will rely on AI for full-cycle portfolio management, from dynamic rebalancing to tax automation.
That demand aligns with broader forecasts, putting the AI trading platform market at nearly $70 billion by 2034, growing over 20% CAGR from 2025 to 2034.
