Rule-based bots follow fixed logic if price hits X, buy; if it hits Y, sell. They're predictable and easier to build/test, but they can't adapt when market conditions shift outside their programmed rules.

AI-driven bots analyze larger data sets (price action, sentiment, order book depth) and adjust strategy dynamically. They're better suited for volatile markets but need more data, more testing, and more careful risk controls since their behavior is less predictable than a simple rule set.

Most serious trading firms actually use a hybrid — rule-based execution with AI-assisted signal generation. If you're evaluating vendors, look at how their crypto trading bot development process handles backtesting and live-market validation before deployment — that's usually the difference between a bot that works on paper and one that works with real capital.