On Tuesday, *Nature* published two papers detailing innovative AI systems aimed at assisting scientists in drug retargeting tasks. Google's Co-Scientist acts as a 'scientist in the loop', allowing researchers to guide the AI's processes with their expertise. In contrast, FutureHouse's AI has been trained to analyze biological data from specific experimental classes. Both systems are designed to enhance the scientific process by managing the overwhelming amount of information generated in contemporary research. As the number of scientific journals has surged, it has become increasingly difficult for researchers to keep abreast of developments in their fields. These AI systems are not intended to replace scientists but to support them by efficiently processing large datasets and identifying relevant findings across various disciplines. For instance, insights from eye development research may also apply to kidney studies, highlighting the importance of interdisciplinary connections. By streamlining the research process, these AI systems could significantly improve the efficiency of scientific discovery.