Climate Governance and AI Regulation: Bringing Together Two Sides of the Same Coin?
Climate change and Artificial Intelligence (AI) are typically treated as separate regulatory domains. This article argues that they pose similar challenges to law: both are global and collectively caused, both generate diffuse and potentially long-term harms alongside highly concentrated private gains, and both strain an individual?rights-centred legal architecture designed for bilateral disputes between identifiable actors. First, I situate climate governance and AI regulation within a shared “tragedy of the commons” logic and show how existing fundamental?rights frameworks produce a structural protection gap for systemic risks. Second, I analyse key instruments of EU environmental law, demonstrating that AI’s ecological footprint—energy and water use, resource extraction, rebound effects—is regulated only indirectly and that responsibility is diffused along global supply chains. I then argue that what I call “regulatory solutionism” is a particular risk in digital and climate regulation: dense process obligations obscure the absence of hard distributive choices, prohibitions, and enforceable limits. Finally, I propose using the precautionary principle as a common normative foundation for climate governance and AI regulation, including through consumption caps for particularly resource-intensive AI systems and mandatory environmental risk assessments.
Artificial Intelligence (AI) and climate change seem to be two ubiquitous, inescapable developments that affect individuals, societies and environments. For legal regulation, dynamic, global, and collective shifts that extend beyond individual and structural impacts are difficult to grasp. AI has been a hype topic for a couple of years now,1 further fuelled by the release of Large Language and other generative AI models that are directly available to end users and consumers. Today, a couple of AI companies account for a substantial share of the current U.S.-American economic output and are driving significant growth in the stock market. This development is meanwhile being described as an AI bubble. The "if” and "how” of the legal regulation of AI are highly disputed and have led not only to heated discussions but also to geopolitical tensions.2 Dealing with AI has become even more complicated since the technology's resource and energy consumption, and its general environmental impact, have come under increased scrutiny.3 Previous debates have focused on the use of AI for sustainability and environmental protection.4 The European Union's political strategy on the "twin transition” also suggests that digitalisation and sustainability generate mutually beneficial synergies and therefore go hand in hand.5