A new whitepaper released by Alibaba Cloud, Driving Sustainability with AI: A Guide to Partnering with Technology Service Providers, offers a forward-looking blueprint for how organisations can harness digital infrastructure — particularly AI and cloud computing — to accelerate their sustainable journey.
Based on insights from the Tech-Driven Sustainability Trends and Index 2024, which surveyed 1,300 business leaders across Asia, Europe, and the Middle East, the report combines industry data, actionable recommendations, and real-world case studies to explore how emerging technologies can close the gap between aspiration and execution.
The State of Sustainability: Progress, Gaps and Opportunity
The whitepaper highlights the growing urgency for businesses to act on sustainability, with 80% of surveyed organisations setting green targets. Yet only one-third of these have committed to science-based net-zero goals. Many companies still struggle to move from commitment to impact, citing gaps in technical understanding, measurement tools and concerns about the energy footprint of digital technologies.
Despite these barriers, a strong majority — 76% — see AI and cloud computing as essential tools to achieve sustainability outcomes. At the same time, 82% say it is critical that these technologies themselves are developed sustainably.
From Insight to Impact: Green AI in Action
Alibaba Cloud is helping organisations bridge this gap through platforms like Energy Expert, which uses AI to measure emissions and energy consumption in real time. The platform has already served over 3,000 organisations globally.
One standout case is its collaboration with Covestro, a polymer material company. Working together, the two helped Chinese beverage brand Nongfu Spring trace the full lifecycle emissions of its recycled water barrels — later repurposed into gel pens – offering supply chain transparency from production to reuse.
The whitepaper also showcases Alibaba Cloud’s commitment to low-carbon AI innovation. Its open-source Qwen series models are designed for efficiency and accessibility. Japanese AI start-up Lightblue, for example, used Qwen to build a localized high-performance Japanese-language model with lower development costs and energy use.
Five Strategies to Drive Recommendations for Sustainable Digital Transformation
The whitepaper identifies five strategic actions that businesses can take to align digital transformation with sustainability outcomes. First, organizations are encouraged to link their adoption of AI and cloud technologies with specific sustainability KPIs—for example, using predictive tools to optimise operations or monitor emissions across supply chains. Second, companies should partner with transparent, green technology providers that publish energy usage and emissions data, operate on renewable energy, and invest in energy-efficient infrastructure. Third, the paper highlights the importance of embedding security into sustainability strategies, noting that cybersecurity concerns remain a key barrier to wider adoption of digital sustainability tools.
Fourth, it recommends embracing open and trustworthy AI, such as open-source models that reduce costs, improve energy efficiency, and allow for localized applications. Finally, the paper calls for stronger public-private collaboration, with 82% of surveyed executives supporting more active government involvement to accelerate the adoption of sustainable technologies through policy, incentives, and education.
A Roadmap for Business Leaders
More than a guide, the whitepaper is a call to action. It emphasizes that sustainability is no longer a nice-to-have but rather a competitive differentiator and a catalyst for growth.
For companies navigating climate and digital transformation simultaneously, the message is clear: success depends on choosing the right partners, tools, and strategies to deliver measurable progress. With the right foundation, AI and cloud can power a greener, smarter, and more resilient future.
