According to @ai_darpa, Earth's 23.26° axial tilt is critical not only for its seasons but also for sustaining life, with similar variations on planets like Uranus and Venus dramatically affecting their climates and habitability. AI and machine learning models are increasingly being used by scientists to analyze axial tilt data from exoplanet discoveries, helping to assess their climate stability and potential for life (source: @ai_darpa, Dec 24, 2025). These AI-driven approaches allow for large-scale simulation and climate modeling, enabling the identification of exoplanets with Earth-like seasonal patterns, which presents significant opportunities for AI companies specializing in planetary science and space data analytics.