Why the EU AI Act Needs a Global Accountability Perspective

The Brussels Effect and AI

The European Union has a well-documented track record of exporting its regulatory standards globally. When the EU regulates, the world adjusts. The General Data Protection Regulation became the template for privacy legislation on every continent. The EU's chemical safety standards reshaped global supply chains. Its competition enforcement against major tech companies set precedents that regulators worldwide now follow.

The AI Act is poised to replicate this dynamic. Any company that wants to sell AI products or services in the European market — the world's largest single market — must comply with the Act's requirements. Since most major AI companies operate globally, the practical effect is that EU standards become the baseline for AI development everywhere.

For companies and governments in the Global South, this creates a paradox: they will be governed by a regulatory framework they had no meaningful role in creating, built on assumptions that may not reflect their realities, enforced through mechanisms they cannot influence.

What the Act Assumes — and What It Misses

The EU AI Act's core architecture is a risk classification system. AI systems are sorted into categories — unacceptable risk, high risk, limited risk, minimal risk — with corresponding regulatory requirements. High-risk systems face the most stringent obligations: conformity assessments, quality management systems, transparency requirements, human oversight mandates, and detailed documentation.

The assumption embedded in this framework is capacity. It assumes that organizations deploying AI systems have the legal teams to navigate complex compliance requirements, the technical teams to implement conformity assessments, and the institutional infrastructure to maintain ongoing documentation and oversight. For large European or American tech companies, these assumptions hold. For a fintech startup in Lagos building credit scoring tools for underbanked populations, or a health-tech company in Nairobi developing diagnostic tools for rural clinics, they often do not.

This does not mean these organizations should be exempt from regulation. It means the regulatory framework needs to account for the difference between a trillion-dollar company deploying AI at global scale and a small-to-medium enterprise building AI solutions for underserved communities. The current Act does this imperfectly at best.

The Innovation Asymmetry

There is a deeper concern beyond compliance costs. The EU AI Act, by setting a high regulatory bar, may inadvertently create a two-tier global AI ecosystem: one in which well-resourced companies in wealthy countries can afford compliance and gain access to the world's largest market, while smaller innovators in developing countries are effectively locked out.

When the cost of regulatory compliance exceeds the revenue potential of a market, rational actors will simply avoid that market. The companies most likely to be deterred are precisely those building solutions for communities the global AI ecosystem currently underserves.

Consider an AI company in Kigali developing agricultural advisory tools for East African farmers. If that company wants to partner with a European agricultural conglomerate — or even use European cloud infrastructure — it may need to comply with AI Act requirements designed for an entirely different scale and context. The choice becomes: absorb disproportionate compliance costs, restructure your product for a European regulatory framework that doesn't fit your use case, or simply stay out of the European ecosystem entirely.

None of these outcomes serves the goal of inclusive, globally beneficial AI development.

Who Was in the Room?

The EU AI Act went through years of legislative development — from the European Commission's initial proposal in April 2021 through trilogue negotiations to final adoption. Throughout this process, the voices shaping the legislation were overwhelmingly European: EU institutions, European civil society organizations, European and American tech companies, and European academic researchers.

Participation from the Global South was minimal. African governments, Asian civil society organizations, and Latin American researchers — all of whom will be significantly affected by the Act's extraterritorial reach — had little meaningful input into its development. This is not primarily a failure of the EU legislative process, which has limited obligations to consult non-EU stakeholders. It is a failure of the global AI governance ecosystem, which lacks the mechanisms to ensure that regulatory frameworks with global reach are informed by genuinely global perspectives.

What Young Leaders Can Do

The EU AI Act is now law. The question is not whether it will shape global AI governance — it will — but whether young professionals from the Global South will be equipped to engage with it on their own terms.

This means several things in practice:

1. Build regulatory literacy

Young professionals in Africa, Asia, and Latin America need to understand the EU AI Act in detail — not to comply with it uncritically, but to engage with it strategically. Understanding European regulation is a prerequisite for challenging it, adapting it, or proposing alternatives. Fellowship and training programs must make EU regulatory literacy a core competency.

2. Develop counter-narratives

The EU frames the AI Act as a universal model for responsible AI governance. Young Global South researchers and policy professionals are uniquely positioned to test this claim against empirical reality — to document where the framework fails, where its assumptions break down, and where alternative approaches would produce better outcomes. This research is urgently needed and woefully under-produced.

3. Build coalitions

Individual advocacy from the Global South will not shift European regulatory momentum. Coalitions might. Young policy leaders should be connecting across borders — linking African, Asian, and Latin American perspectives into a coherent voice that European institutions cannot ignore. The TAI Roundtables are designed precisely to facilitate these connections, bringing emerging voices into dialogue with the established actors who shape the global regulatory agenda.

4. Shape domestic alternatives

The most powerful response to European regulatory hegemony is not protest — it is competition. If African and Asian nations develop their own AI governance frameworks that are demonstrably effective, context-appropriate, and rights-respecting, they create a credible alternative to the Brussels model. Building the generation of young policy leaders capable of designing, implementing, and defending these frameworks is perhaps the most important investment in AI governance today.

Looking Ahead

The EU AI Act is not the end of the global AI governance story — it is the opening chapter. The frameworks, norms, and institutions that emerge over the next decade will determine whether AI governance is genuinely global or merely Western governance imposed globally. Young professionals from the Global South will decide which of these futures prevails, but only if they are equipped, connected, and empowered to lead.

The window is open. The question is whether we invest in the people who can walk through it.