We implement environmental management systems throughout our business to promote compliance with regulatory requirements, achieve our targets and meet stakeholder expectations.
Read more about our progress in 2025 in our Annual Report.
Our targets, approved by the Science Based Targets initiative (SBTi), include:
- Achieve a 50% reduction in greenhouse gas (GHG) emissions across our operations and value chain by 2030 from a 2018 baseline
- Achieve at least 90% reductions in GHG emissions across our value chain from a 2018 baseline, and meet our net zero target by 2050
Our Approach
Understanding the environmental impact of AI
AI is rapidly reshaping how we design and deliver transformative learning experiences, and our goal is to harness AI’s potential for society and the environment while managing its impacts.
Though the GHG emissions associated with Pearson’s AI usage are relatively low compared to other emissions sources, we anticipate they will continue to steadily rise alongside demand for data storage and processing.
Managing this growth carefully is key to our long-term climate strategy and future business resilience. Our approach centres on maintaining our commitment to renewable energy use, ensuring the efficiency of our data usage and AI systems.
To achieve more at a bigger scale, we are also pursuing best practices around transparency. For example, we are working with DIMPACT, a network dedicated to deepening members’ understanding of the environmental impact of digital products and creating science-based solutions.
