Artificial Intelligence (AI) in drilling has rapidly evolved from predictive analytics to autonomous operations, with systems now independently controlling drilling parameters, optimizing well placement in real-time, and predicting equipment failures before they occur.  Current implementations are achieving dramatic results, including a 60% increase in the rate of penetration and a 50% reduction in drilling time, with projections suggesting that 15% of all wells globally will be autonomously controlled within the next three to five years. On the seismic side, AI is reducing interpretation time dramatically, identifying faults and reservoir features that took weeks to map, and helping geoscientists identify prospects they might have missed. National oil companies and major service providers are deploying large-scale AI platforms, processing billions of daily data points, with some systems using foundation models with hundreds of billions of parameters specifically trained on subsurface and drilling operations. The trajectory is moving from reactive to predictive and now prescriptive operations, with the next frontier being fully autonomous drilling that integrates subsurface intelligence, real-time data fusion, and agentic AI capable of making complex decisions across the entire drilling lifecycle. Increased use of AI and robotics on drilling rigs has improved the efficiency and safety of drilling operations through reduced red zone activity, predictive maintenance,  and reduced power consumption.