AI currently serves as a valuable optimization tool in physics, aiding in mundane tasks and data analysis. It is not definitive like traditional physics methods, such as the rigorous 5-sigma standard for hypothesis testing. Various AI systems are in use, including generative AI that creates novel content and large language models like ChatGPT, which generate predictive text that requires verification by knowledgeable users.AI applications include equation solvers like Eureqa, which can derive equations from experimental data, although challenges arise when theoretical backing is lacking for biological results. AI enhances measurement tools in physics, helping to uncover hidden patterns in data and potentially aiding in theory development.On the hardware front, advancements in quantum computing and a resurgence of analog computing are being explored, promising faster calculations. The future may see a hybrid approach combining digital, quantum, and analog computing, significantly impacting STEM research and methodologies.