Artificial intelligence (AI) is emerging as a powerful tool for biopharma companies seeking to enhance their sustainability efforts. By leveraging AI-driven insights, these organizations can potentially optimize resource utilization, reduce waste, and minimize their environmental footprint. However, the question remains: do the sustainability benefits of AI outweigh its own environmental cost?
AI algorithms require vast amounts of energy to train and operate, contributing to greenhouse gas emissions. Nevertheless, the efficiency gains and waste reduction achieved through AI implementation could lead to net positive environmental outcomes. As biopharma companies navigate this complex landscape, they must carefully assess the trade-offs and develop strategies to maximize AI’s sustainability potential while mitigating its environmental impact.