The continued disruption around the world has put most of the Sustainable Development Goals (SDGs) out of reach, with only 17% of set targets currently on track to meet the 2030 deadline.
Concurrently, the emergence of generative AI is “reshaping the world of business, with an overwhelming majority (97%) of leaders across industries pointing to generative AI as playing the major role in their reinvention over the next three to five years.”
Against this backdrop, the UN Global Compact, in collaboration with Accenture, has released a pivotal new report—titled “Generative AI for the Global Goals: The Private Sector’s Guide to Accelerating Sustainable Development with Technology”— to “guide business leaders on how to leverage generative AI as a transformative force for advancing the SDGs by 2030.”
The report underscores how generative AI can “enhance operational efficiency, boost productivity, foster innovation and streamline sustainability reporting in new ways that put meaningful progress toward the SDGs.”
While recognizing the huge potential generative AI offers, the report also “cautions against its risks.”
It provides a robust framework for companies “to implement generative AI responsibly, emphasizing the importance of human oversight, ethical governance and the alignment of AI strategies with the Ten Principles of the UN Global Compact.”
The report calls on businesses to take bold, ambitious actions “to bridge the gap between current efforts and the 2030 Agenda for Sustainable Development.”
Key findings include:
- Operational Efficiency: The report dives into how generative AI can help businesses improve predictive analytics and maintenance, thereby lowering energy use and downtime. This effort is critical as companies seek to manage limited resources to achieve sustainable and consistent results within both financial and environmental limits.
- Sustainable Value Chains: Generative AI can enable businesses to conduct comprehensive lifecycle assessments, identify and mitigate risks in procurement and engage suppliers on sustainable practices. For example, advanced AI tools are being used to track carbon footprints across complex global supply chains—helping ensure suppliers at all levels follow high sustainability standards.
- Innovation for Sustainable Solutions: Companies can use generative AI to rapidly prototype and deploy sustainable solutions that meet emerging social and environmental needs. This is possible by speeding up research and development, as well as product and service design, especially in green finance and sustainable materials.
- Communication and Reporting: Effective communication and reporting of financial and non-financial data has become increasingly important as added regulations take root globally. By automating data collection, analysis and report generation, generative AI can revolutionize sustainability reporting, increase literacy across the organization on sustainability measures and help comply with regulatory frameworks.
The Generative AI for the Global Goals report is “the newest in a long-running partnership between the UN Global Compact and Accenture.”
It gives a detailed guide on how the private sector “can use technologies like generative AI to help develop sustainable development.”
This report includes case studies, insights “from interviews with private-sector leaders and ready-to-use resources to help businesses use generative AI to support people and the planet.”
