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Could AI Leapfrog the Web? Evidence from Teachers in Sierra Leone

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Listed:
  • Daniel Bjorkegren
  • Jun Ho Choi
  • Divya Budihal
  • Dominic Sobhani
  • Oliver Garrod
  • Paul Atherton

Abstract

Only 37% of sub-Saharan Africans use the internet, and those who do seldom rely on traditional web search. A major reason is that bandwidth is scarce and costly. We study whether an AI-powered WhatsApp chatbot can bridge this gap by analyzing 40,350 queries submitted by 529 Sierra Leonean teachers over 17 months. Each month, more teachers relied on AI than web search for teaching assistance. We compare the AI responses to the top results from google.com.sl, which mostly returns web pages formatted for foreign users: just 2% of pages originate in-country. Also, each web page consumes 3,107 times more bandwidth than an AI response on average. As a result, querying AI through WhatsApp is 98% less expensive than loading a web page, even including AI compute costs. In blinded evaluations, an independent sample of teachers rate AI responses as more relevant, helpful, and correct answers to queries than web search results. These findings suggest that AI can provide cost-effective access to information in low-connectivity environments.

Suggested Citation

  • Daniel Bjorkegren & Jun Ho Choi & Divya Budihal & Dominic Sobhani & Oliver Garrod & Paul Atherton, 2025. "Could AI Leapfrog the Web? Evidence from Teachers in Sierra Leone," Papers 2502.12397, arXiv.org, revised Dec 2025.
    • Handle: RePEc:arx:papers:2502.12397
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    References listed on IDEAS

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