Artificial intelligence is transforming corporate sustainability with new and innovative solutions to reduce environmental impact while improving profitability. The research implemented for this study is focused on analyzing how the latest technologies, such as AI-driven supply chain optimization strategies, energy management systems, and sustainable product design, reduce the environmental impacts in the industries. Case studies of Fortune 500 companies like Walmart and startups like Climatiq show how AI can reduce emissions (saving 25 million gallons of diesel annually) and support circular economies (as with biodegradable materials). However, there are challenges in AI’s energy consumption, algorithmic bias, and inequitable access for SMEs, among other things. The analysis highlights ethical governance frameworks—such as explainable AI and third-party audits—that can be employed to reduce risks such as privacy violations and greenwashing. It also underscores the importance of collaborative ecosystems that align policy assistance, open-source tools, and inclusive innovation to close the “sustainability divide.” Balancing technology promise with accountability, AI can grow a “Silicon Forest” of symbiotic economic growth and ecological resilience.