AI rules are being written now — will Africa shape them or follow?

The global conversation on artificial intelligence (AI) regulation is accelerating, but not in a single direction and not under the control of any one bloc. What is emerging is a polycentric governance landscape: one in which different regions are simultaneously developing their own combinations of law, policy, standards and institutional oversight.

The European Union has taken the most comprehensive legal route with its AI Act. The United Kingdom is pursuing a strategy-led approach, while the United States continues to evolve within a fragmented federal and state system. At the same time, the Council of Europe has opened the first binding international AI treaty for signature.

These developments signal momentum, but not convergence. There is no settled global model. Instead, a set of influential reference points is forming - frameworks that other regions will either align with, adapt to or actively contest. AI governance is being constructed in real time across multiple centres of power.

That reality shifts the question for Africa. The issue is no longer whether the continent will participate, but whether it will help shape the rules or adjust to them after they are set.

Global view

A broader global view reinforces this point. Across Asia and the Indo-Pacific, countries are advancing distinct but equally important approaches. Singapore continues to refine practical governance frameworks focused on trusted deployment. Japan has embedded “trustworthy AI” into its national strategy. South Korea has enacted a comprehensive AI Basic Act. China has implemented targeted regulations covering generative AI and deep-synthesis technologies. India and Australia are integrating governance with national capability-building and infrastructure development.

These models differ, but they share a key characteristic: governance is evolving alongside innovation, not trailing behind it.

The same pattern is evident in Latin America, the Caribbean and the Middle East. Brazil has committed significant investment through a structured national AI plan. Chile is already implementing most of its action agenda. Caribbean states are building institutional capacity through regional collaboration. In the Gulf, countries such as the United Arab Emirates and Saudi Arabia are embedding AI into long-term economic transformation strategies.

This is not a Western-led conversation. It is a globally distributed policy field, still fluid and still contested. What distinguishes regions is no longer intent, but execution - how effectively strategies translate into capability, infrastructure and institutional strength.

Africa not absent

Within this landscape, Africa is not absent. The African Union’s Continental Artificial Intelligence Strategy provides a clear, development-focused framework. Nationally, countries such as Kenya, South Africa, Rwanda, Egypt and Nigeria have all taken concrete steps to define their AI policy direction and institutional arrangements.

These are important signals of engagement. However, they also reveal a deeper constraint: fragmentation. Multiple national initiatives are emerging, but without sufficient coordination to project a unified continental position.

This matters because influence in AI governance is not derived from participation alone. It depends on the ability to shape agendas, contribute to standards and engage consistently across global forums.

The challenge should be understood realistically. Africa does face capacity constraints, but it is not alone. Many emerging and developing economies are still in early or intermediate stages of AI readiness. The gap is not simply one of policy, but of execution — the ability to translate strategy into systems, skills and institutional capability.

This is where the next phase of AI governance will be decided.

Announcing strategies is no longer enough. Influence will increasingly come from those who can operationalise governance: building talent pipelines, investing in infrastructure, establishing regulatory institutions and participating actively in international standard-setting processes.

Useful lessons

A wider comparative lens offers useful lessons. India demonstrates how inclusion, access to compute and governance can be combined within a development framework. Japan provides a model of adaptive, trust-based regulation. China illustrates how targeted regulation can coexist with rapid domestic capability-building. Singapore shows the value of iterative, practice-oriented governance, while Australia integrates public benefit with national capability development.

Elsewhere, Brazil and Chile highlight the importance of moving from policy to implementation, and Caribbean initiatives underscore the role of regional cooperation in building readiness. Gulf strategies show how AI can be directly linked to economic transformation.

There is no single blueprint here. But there is a clear message: countries that move from strategy to execution are the ones that shape outcomes.

For Africa, the central question is therefore not conceptual but organisational: where is the continent’s collective voice?

A collective voice should not be mistaken for unanimity. It is about coordinated influence — aligning priorities, amplifying common positions and engaging global processes with strategic intent.

Multi-level approach

This coordination needs to operate across three levels.

At the continental level, the African Union can play a stronger role in aligning strategy, shaping standards and representing African interests in global forums. At the regional level, organisations such as SADC and ECOWAS can facilitate regulatory learning, shared experimentation and cross-border coordination. At the national level, the focus must remain on execution: building institutions, developing skills and investing in enabling infrastructure.

Stronger coordination would allow Africa not only to participate in global AI governance, but to influence it, contributing perspectives grounded in equity, language diversity, developmental inclusion and public-interest deployment.

Without this coordination, the likely outcome is not exclusion, but passive alignment. Standards will be adopted rather than shaped, and local priorities may be constrained by frameworks developed elsewhere. Over time, this risks limiting both policy autonomy and innovation potential.

The more constructive perspective is that Africa is not starting from zero. It is already part of the conversation. The opportunity now is to deepen that participation - to move from fragmented engagement to coordinated influence.

AI governance is still being written. The rules are not fixed, and the system remains open.

For Africa, the task is not to catch up, but to organise — to engage this evolving landscape with clarity, confidence and strategic coordination.

The question is no longer whether Africa has a voice. It is whether that voice will be strong enough, and unified enough, to shape what comes next.

*Dr Jannie Zaaiman is the Secretary General of Technology Information Confederation Africa (TICON Africa)