From Silicon Valley to Nairobi: What the Global South’s AI leapfrogging teaches tech leaders

From Silicon Valley to Nairobi: What the Global South’s AI leapfrogging teaches tech leaders

The ongoing cognitive migration driven by advancements in generative AI is a subject of significant interest, particularly from the perspective of those familiar with the technology sector. As someone with over 40 years in the industry, my experiences range from coding and systems analysis to IT project management and consulting. Although based primarily in the United States, my professional collaborations have extended across Europe and Asia.

The discussion surrounding AI often reflects an American viewpoint, especially as many innovations are concentrated in regions such as Silicon Valley and other Western cities. However, what does this cognitive migration look like on a global scale? In the Global South, the perception of AI is more about opportunities for growth rather than the loss of jobs associated with white-collar roles.

Recent data reveals a notable discrepancy in comfort levels with AI between the Global North and Global South. According to the 2025 Edelman Trust Barometer, only about one in three Americans feel at ease with AI adoption, while approximately two-thirds of people in India, Indonesia, and Nigeria exhibit a more positive attitude. In advanced economies, AI is often viewed as a threat to employment, with a study from the International Monetary Fund indicating that 60% of jobs are at risk due to AI’s impact on cognitive tasks. Conversely, in the Global South, AI is seen as a tool to enhance education, healthcare, and agricultural practices.

Despite this optimism, challenges remain, including concerns about job losses, data availability, and ethical considerations associated with AI. Effective deployment of AI solutions in sectors like healthcare and agriculture could provide significant benefits but often depend on external support.

While the Global South is viewed as adopting AI for its potential to improve conditions, risks such as infrastructure gaps, algorithmic bias, and unequal access persist. The differences in perception and experience regarding AI highlight not only regional disparities but also the interconnectedness of global narratives surrounding the technology. Addressing these complexities will be essential for ensuring that the advancements of AI benefit all segments of society equitably.

Source: https://venturebeat.com/ai/from-silicon-valley-to-nairobi-what-the-global-souths-ai-leapfrogging

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