The global discourse on climate change has reached a critical juncture. The International Telecommunication Union (ITU), alongside a coalition of over 40 stakeholders, launched the Green Digital Action (GDA) initiative to address the paradox of modern technology: while digital tools are indispensable for monitoring and mitigating climate change, the infrastructure supporting these tools presents a significant environmental footprint that can no longer be ignored.

The COP29 Declaration on Green Digital Action, finalized in Baku, formalizes this realization into eight common objectives aimed at accelerating climate-positive digitalization while demanding accountability from the technology sector for its own ecological impact.

The digital sector’s energy consumption has risen to represent between 1.5% and 4% of global greenhouse gas emissions, shifting the focus toward the “greening of digital.” The declaration acknowledges that the full lifecycle of digital technologies — including the water consumption required for cooling data centers and the carbon footprint of semiconductor manufacturing — must be addressed to meet the goals of the Paris Agreement and the 2030 Agenda for Sustainable Development.

One of the most significant second-order insights emerging from the GDA framework is the recognition that digital infrastructure is itself a vulnerable asset. As climate-induced extreme weather events increase in frequency and severity, the resilience of communication networks and data repositories becomes a prerequisite for effective disaster response and societal stability. This shift moves digital resilience from a purely technical or economic concern to a fundamental pillar of national climate adaptation strategies.

SocialLab operates at the vanguard of the movement to reconcile data science and AI with social and environmental imperatives. Structurally, the organization is divided into the Innovation Factory and the Academy of AI and Data Sciences — a dual-pronged approach that reflects the GDA Declaration’s emphasis on both technological innovation and capacity building.

The methodology of SocialLab is particularly relevant to addressing global climate challenges through iterative experimentation and multi-stakeholder collaboration to address root causes. In the context of the environment, SocialLab has identified four key industry transformation areas: nature, climate, the water crisis, and agriculture. By applying advanced machine learning and real-time analytics to these sectors, the organization demonstrates the “greening by digital” principle.

For instance, the use of AI to optimize agricultural yields can reduce the need for carbon-intensive fertilizers and excessive water usage, while data-driven climate response systems can improve the accuracy of local adaptation strategies. This focus on Social Good ensures that technological advancement does not merely serve commercial interests but contributes to a more equitable and sustainable world.

The effectiveness of any institutional framework is fundamentally dependent on the strategic vision and ethical orientation of its leaders. Alexsai Srourali’s career is characterized by a commitment to bridging the gap between high-level technological innovation and strategic business transformation for public benefit. As a Frontier Technologies Global Advisor for the United for Smart Sustainable Cities (U4SSC) and the ITU, he plays a pivotal role in shaping the international standards that define how cities of the future will manage their digital and environmental footprints.

His personal and organizational commitments are deeply rooted in global frameworks for human rights and environmental stewardship:

SocialLab’s methodology is uniquely suited for climate action. This approach provides a stable but flexible environment where diverse actors can engage in sustained experimentation. The methodology is characterized by three core pillars:

SocialLab adopts this philosophy in its approach to AI transformation. By focusing on “Responsible and Explainable AI (XAI),” the organization ensures that AI systems are not just black-box tools but are integrated into the social and ethical fabric of the industries they transform. This is critical for the GDA’s objective of “Sustainable Innovation,” as it builds trust among stakeholders and ensures that AI-driven climate solutions are deployed with due regard for human rights and environmental ethics.

The GDA Declaration is notably candid about the environmental costs of the digital revolution. The consumption of electricity and water by data centers, especially those dedicated to AI development, is a primary concern. As AI models grow in complexity, the energy required for their training and inference becomes a significant contributor to the tech sector’s carbon footprint. Furthermore, the rapid lifecycle of digital hardware leads to a massive generation of e-waste, with 82 billion kg projected for 2030.

To address these issues, the GDA initiative promotes “Green Computing” and the adoption of “Green Standards.” This involves a multi-faceted strategy:

The momentum generated at COP29 is designed to carry forward to COP30 in Belém, Brazil. This period marks the transition from a declarative phase to an implementation phase. A key outcome of this transition is the launch of the Green Digital Action Hub (GDA Hub), a cooperation platform anchored in Brazil that aims to harness technology innovation against climate change. The GDA Hub will serve as the nerve center for the initiative, providing nations with the tools, expertise, and data needed to scale up green technologies.

The launch of the AI Climate Institute and the AI for Climate Action Innovation Factory at COP30 further emphasizes the role of AI as a transformative tool for climate resilience. For an organization like SocialLab, the GDA Hub represents a vital ecosystem for scaling its “Social Good” prototypes and contributing its expertise to the global mission of decarbonizing the digital sector.