In every stage of drug development, laboratory automation technologies are being used to streamline processes, reduce costs, and improve efficiency. Laboratory automation facilitates contamination control, reproducibility, standardization, and data security efforts. McKinsey & Company reports that laboratory automation has “significant potential to contribute to improvements across all primary laboratory [key performance indicators].” Automation is promising to drive competitive differentiation and will open up opportunities for using artificial intelligence (AI) to augment laboratory automation platforms for highly complex workflows. Laboratory automation and AI technologies can enhance drug discovery, formulation development, and personalized medicine. AI algorithms can predict drug potential and optimize conditions without human intervention. AI-driven automation will be critical in regulatory compliance, precision medicine, and ensuring data recording and process control meet stringent standards. The combination of AI and laboratory automation will provide unprecedented levels of precision, customization, and scalability throughout the drug development process.