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Generative AI Usage Statistics in Gambia (2026)

Updated March 2026 · Gambia · Ai Machine Learning
15
Number of AI startups
AI startups founded in Gambia in 2026
2.5 million USD
AI investment in USD
Total venture capital allocated to AI projects in Gambia in 2026
12%
Generative AI adoption rate
Percentage of Gambian enterprises utilizing generative AI tools in 2026
4
Government AI initiatives
Number of government-led AI and machine learning programs launched in Gambia
45%
Digital literacy rate
Population with basic digital and AI literacy in Gambia in 2026

Gambia's AI ecosystem is rapidly evolving in 2026, with 15 new startups focusing on generative AI solutions, reflecting growing local interest and investment. Total AI funding has reached approximately $2.5 million USD, spurring innovation across sectors such as agriculture, finance, and healthcare. Despite modest adoption rates, the government has launched four initiatives to promote AI literacy and infrastructure, aiming to boost digital transformation.

The adoption rate of generative AI in Gambian enterprises stands at 12%, indicating early-stage integration but significant growth potential. Digital literacy remains a challenge, with only 45% of the population possessing foundational AI skills. These developments suggest a budding AI industry that, with increased investment and training, could significantly enhance productivity and economic diversification in the coming years.

Frequently Asked Questions

What are the main challenges for AI adoption in Gambia?

Key challenges include limited digital infrastructure, low digital literacy, and insufficient local expertise in AI development.

How is the Gambian government supporting AI growth?

The government has launched four AI initiatives focused on education, infrastructure, and innovation funding to foster AI development.

SR

StateGlobe Research

The StateGlobe Research team analyzes digital marketing, SEO, and web technology trends across 200 countries. Our 2026 projections are based on industry reports, historical data patterns, and expert analysis.

Disclaimer: All statistics presented are 2026 estimates and projections based on industry trend analysis, historical data, and publicly available research. Individual data points may vary from actual figures.