The Hope vs. The Fear

Artificial intelligence has been called “the great equalizer” and “the great divider.” On the one hand, it holds the potential to provide every individual with internet connection access to knowledge previously reserved for the elite—medical advice, legal advice, business planning, even high-end tutoring. On the other hand, creating and deploying these AI systems takes enormous data, capital, and computing power, resources in the possession of a few successful nations and firms.

So will AI close the gap or increase it? The answer is nuanced—because it will depend on how AI is designed, shared, and regulated.

How AI Could Level the Playing Field

Envision a physician at a rural clinic in Kenya using an AI assistant to diagnose illness without the need for pricey lab equipment. Or a Bangladeshi business with access to AI marketing strategies on par with those of multinational firms. Or a student at a village far from a city in India doing math with an AI tutor that adjusts their learning speed.

• AI can cause knowledge and proficiency to be more evenly spread:
• Education: AI instructors can possibly provide tailored instruction to millions of those who lack access to quality schools.
• Healthcare: Telemedicine and diagnostics based on AI could be extended to remote areas.
• Entrepreneurship: Small enterprises of poorer countries could compete with the world using AI without large budgets.

This way, AI can potentially bypass infrastructure deficits—just like mobile phones enabled developing countries to bypass the costly installation of landlines.

 How AI Might Widen the Gap

• There is, however, another aspect to the coin: AI craves energy. It needs to be trained on:
• Ginormous computing resources (supercomputers, power, and state-of-the-art chips).
• Massive amounts of data, usually controlled by giant tech companies.
• Expert ability, which in return tends to group in rich countries.
• This raises the possibility of AI colonialism: where rich nations create, own, and benefit from AI systems, and poor countries are passive receivers. For instance:
• If large corporations in the US or China own AI, poor countries can “rent” but cannot develop their own.
• Language and cultural bias in AI systems may silence Global South voices.
• Those with inadequate digital infrastructures may be left behind completely.

 The Transition Dilemma

And as with work, there is even an issue of timing here. Rich countries are leading the charge, and poor countries are trying to get into the game of bringing in AI. This disparity can have the possibility of creating new dependency—where poorer countries are depending upon AI systems they may not even own, just as many are presently depending upon drugs or technology brought in from abroad.

What May Make the Difference

• Whether AI will bring us together or tear us apart will be determined by decisions being made today:
• Open-Source AI: If big models stay open, smaller countries can adapt them to their specific needs.
• Global Cooperation: Global institutions can make AI a global right, and not pay-for.
• Local Innovation: Developing local AI firms in Africa, South Asia, and Latin America could create solutions contextually appropriate.
• Digital Infrastructure: Power, internet connectivity, and investment in education is a necessity for any country to realize the advantages of AI.

 The Human Element

To an individual in Silicon Valley, AI is a productivity tool. To a teacher in Nigeria, it might be the sole means of teaching in classes that have 60 students. To a farmer in Nepal, a weather forecast generated by AI may mean the difference between a profitable harvest and a whole season lost.

That’s why this isn’t just geopolitics—it’s whether technology will be for the many or the few.

 So, Which Way Will It Go?

If things go on as they are, AI is going to exacerbate the gap in the short run because already wealthy countries and companies are racing far ahead. But with proper policies, collaborations, and open innovation, AI can turn out to be a great leveller, as mobile technology revolutionised the reach of communications.