How to bridge the global AI divide

The article highlights the potential for and concerns about the widening global AI inequality due to high concentrations of computing power, data, and talent in a few countries, primarily in the Global North.
Current trends include the concentration of AI investment and data extraction, with significant implications for energy, innovation, governance, and labor markets.
Several key challenges are identified, such as limited AI readiness in low-income countries, the energy-intensive nature of AI infrastructure, divergent innovation ecosystems focused on applied AI in the Global South, and “digital extractivism,” where data generated in the Global South is often processed abroad.
Opportunities to close the AI divide involve South-South cooperation, leveraging renewable energy advantages, and investing in digital public infrastructure to foster AI sovereignty.
The article suggests strategic interventions to make space for the Global South in AI governance, focusing on shared solutions, leveraging the informal sector, and redefining global AI governance structures.
The AI divide could be addressed through collaborative and inclusive governance strategies, ensuring that the Global South participates in defining and benefiting from the future of AI.

You may have missed