AI Bots Now Power 67% of Gen Z Crypto Trades, Study Shows

A new report from cryptocurrency exchange MEXC reveals that most Generation Z crypto traders now rely on artificial intelligence tools to guide their investment decisions.

The findings highlight how automation and AI-driven strategies are reshaping crypto trading among young investors who seek both efficiency and emotional control in turbulent markets.

Gen Z Leads the AI-Driven Crypto Movement

MEXC’s research, based on data from over 780,000 users aged 18 to 27, shows that 67% of Gen Z traders activated at least one AI-powered trading bot in the second quarter of 2025.

This number far surpasses AI usage among older age groups, with Gen Z engaging AI tools on an average of 11.4 days per month—more than double the frequency of traders over 30. Gen Z users account for 60% of all AI bot activations on the platform, underlining their dominant role in adopting AI technologies for trading.

The report underscores that Gen Z employs AI selectively, ramping up bot usage during periods of heightened market volatility Volatility In finance, volatility refers to the amount of change in the rate of a financial instrument, such as commodities, currencies, or stocks, over a given time period. Essentially, volatility describes the nature of an instrument’s fluctuation; a highly volatile security equates to large fluctuations in price, and a low volatile security equates to timid fluctuations in price. Volatility is an important statistical indicator used by financial traders to assist them in developing trading systems. Trad In finance, volatility refers to the amount of change in the rate of a financial instrument, such as commodities, currencies, or stocks, over a given time period. Essentially, volatility describes the nature of an instrument’s fluctuation; a highly volatile security equates to large fluctuations in price, and a low volatile security equates to timid fluctuations in price. Volatility is an important statistical indicator used by financial traders to assist them in developing trading systems. Trad Read this Term. Approximately 73% of Gen Z traders activated AI bots during spikes in market uncertainty but chose to disable them during quiet trading periods.

Emotional Control and Risk Management Through AI

The data highlights AI’s role beyond automation, revealing its impact on the emotional aspects of trading. Bots help reduce impulsive selling, with panic sell-offs among AI users dropping by 47% compared to manual traders during stressful market events.

Gen Z traders set clear rules for automated trades, such as stop-loss and take-profit orders, contributing to a disciplined and risk-aware trading style.

This delegation pattern aligns with broader trends in Gen Z’s comfort with AI assistance. A May 2025 study by Resume.org found that over half of Gen Z workers view AI tools like ChatGPT as collaborators or companions in their daily tasks.

In crypto trading, AI effectively acts as a safeguard against emotional decision-making.

Gen Z Versus Millennials: Different Trading Styles

The comparison between Gen Z and Millennials reveals distinct approaches to crypto trading. While Millennials typically rely on detailed chart analysis and established technical indicators, Gen Z favors interactive and modular AI tools that fit their faster-paced, social media-influenced behaviors.

Related: eToro Survey: 55% of Gen Z Discuss Investments with Friends, Surpasses Boomers

Gen Z traders are 2.4 times more likely to use AI-generated signals than traditional technical indicators, marking a notable generational divergence in strategy.

AI as the Core of Crypto Trading

MEXC predicts AI will become central to trading platforms within a few years. By 2028, over 80% of Gen Z traders will depend on AI for comprehensive portfolio management functions, including asset rebalancing, yield strategies, tax automation Automation Automation is defined as the procedure of making an apparatus, a process, or a system to operate by mechanical or electronic devices that replace human labor. Additionally, automation is also sometimes referred to as mechanization or robotization. For example, employees have many costly needs, including government regulations. However, robotic workers don’t need much other than some routine maintenance and the occasional bug fix for an equipment malfunction or software bug. There is no overtime Automation is defined as the procedure of making an apparatus, a process, or a system to operate by mechanical or electronic devices that replace human labor. Additionally, automation is also sometimes referred to as mechanization or robotization. For example, employees have many costly needs, including government regulations. However, robotic workers don’t need much other than some routine maintenance and the occasional bug fix for an equipment malfunction or software bug. There is no overtime Read this Term, and customized risk controls. The global AI trading platform market is projected to grow annually above 20%, reaching nearly $70 billion by 2034.

However, the report warns of the risks associated with overreliance on AI systems. Limitations in data quality, potential biases, and a lack of transparency in AI algorithms could undermine trust and effectiveness.