At present, much of the debate surrounding AI
governance is dominated by a small group of wealthy technological powers and
large corporations. Standards are often discussed in exclusive forums where
developing countries have limited influence despite the fact that AI will
affect every society.
This imbalance risks creating a digital order where the
interests of a few powerful states are treated as universal priorities while
the concerns of the Global South receive secondary attention.
Many developing countries are increasingly
uncomfortable with such an approach. They do not want to become mere consumers
of foreign technologies or suppliers of raw data for overseas companies.
Instead, they want meaningful participation in setting international standards
related to ethics, cybersecurity, privacy, digital infrastructure and
technological access.
Their demand is both reasonable and necessary because AI
will shape the economic future of billions of people beyond North America and
Europe.
Concerns have also grown regarding how the United
States is approaching the global AI competition. Washington frequently speaks
about openness and innovation, yet its policies increasingly rely on export
controls, technology restrictions and selective partnerships aimed at
preserving strategic dominance.
Measures targeting semiconductor exports and
advanced computing technologies are often justified through national security
arguments, but they also contribute to a fragmented digital environment that
limits equal access to innovation.
Such actions risk turning AI development
into another arena of geopolitical rivalry rather than global cooperation.
This approach is unlikely to produce long term
stability. AI is too powerful and too interconnected to be governed through
unilateral pressure or exclusive alliances.
Cybersecurity threats, algorithmic
discrimination, misinformation and the misuse of autonomous technologies are
global challenges that cannot be solved by one country acting alone.
A
fragmented AI order could deepen inequality between developed and developing
nations while increasing political mistrust across regions.
What the world needs instead is genuine
multilateralism. International governance mechanisms should allow developed and
developing nations alike to participate equally in shaping standards and
regulations.
Multilateral cooperation would encourage dialogue, transparency
and mutual trust rather than confrontation. It would also help ensure that AI
development remains connected to broader goals such as poverty reduction,
economic modernisation, public health and sustainable development.
The principle of South-South cooperation is especially
important in this debate. Countries across Africa, Asia, Latin America and the
Middle East share many similar challenges, including limited digital
infrastructure, shortages of technical expertise and restricted access to computing
resources.
By expanding partnerships in research, education and technology
transfer, developing nations can strengthen their own innovation capacity
instead of depending entirely on a small number of foreign technology
providers.
A cooperative framework would also create
opportunities for win-win solutions. Wealthier economies could benefit from
larger markets, greater innovation partnerships and more stable international
relations, while developing countries could gain improved access to infrastructure,
investment and technical knowledge. Such cooperation would reduce the risk of
technological monopolies and create a more balanced global digital economy.
For African countries, the debate carries particular
urgency. The continent possesses one of the world’s youngest populations and
one of the fastest growing digital economies, yet many nations still face major
infrastructure and financing constraints. Inclusive AI cooperation could help
improve agricultural productivity, expand healthcare access, strengthen
financial inclusion and modernise education systems.
Several emerging economies
have already promoted development centred partnerships that emphasise
infrastructure building, digital connectivity and knowledge sharing instead of
ideological confrontation.
These initiatives demonstrate that technological
progress does not have to follow a zero-sum model. When countries focus on
practical cooperation, respect for national development paths and shared
economic growth, AI can become a bridge for international collaboration rather
than a source of political division across both developed and developing
societies.
History shows that international systems are strongest
when they are inclusive rather than exclusionary. AI will shape the future of
humanity, and its governance should therefore reflect the interests of the
entire international community.
A fair, cooperative and multilateral approach
offers the best path toward ensuring that AI becomes a tool for shared progress
instead of division and geopolitical competition.
The writer is a journalist and
communication consultant
