AI can optimize existing catalytic processes by analyzing operational data to identify inefficiencies and suggest improvements. For example, AI can optimize reaction conditions such as temperature, pressure, and reactant concentrations to maximize yield and selectivity while minimizing energy consumption and by-product formation. This can lead to more sustainable and cost-effective catalytic processes.