The capabilities of AI in product design are allowing engineers to explore more options than ever before. Leveraged correctly, these options can have dramatic effects on material selection, material usage, and overall manufacturing efficiency. Combining these optimized designs with further predictive analytics through manufacturing process simulation allows insights that can drive significant reductions in energy usage and manufacturing times contributing to critical sustainability goals and allow manufacturers to meet their carbon reduction targets. In this presentation we will explore how these technologies can bring insights into these processes to maximize product performance and drive both embodied and operational carbon reduction results.