Artificial intelligence holds immense potential to transform our world and address global challenges. Project Suncatcher, a new Google research initiative, proposes leveraging space for AI computation. The Sun offers abundant, nearly continuous energy, making space an ideal location for AI infrastructure. This project envisions constellations of solar-powered satellites equipped with Google TPUs and optical communication links. This approach aims for scalability while minimizing terrestrial resource impact. Key technical challenges include achieving data center-scale inter-satellite links with tens of terabits per second bandwidth. Satellites will need to fly in close formations to maintain signal strength for communication. Controlling these tightly clustered satellite formations requires sophisticated orbital dynamics modeling. Google's TPUs have shown promising radiation tolerance in tests, a crucial factor for space deployment. While launch costs are a historical barrier, projections suggest economic feasibility for space-based data centers in the future. Significant engineering hurdles remain, including thermal management and ground communications. A learning mission with Planet, launching two prototype satellites by early 2027, will further validate these concepts. This ambitious endeavor aligns with Google's history of undertaking groundbreaking "moonshot" projects.