AI developer Paul Azunre is working on artificial intelligence tailored for Ghanaian languages, a challenging task which he has undertaken.
In the realm of Artificial Intelligence (AI), Ghana, like many African countries, is facing significant financial hurdles that hinder the development and implementation of this transformative technology. Despite promising initiatives, such as the National AI Strategy (2023–2033), the effective realization of AI's potential requires substantial and sustained financial investment.
One of the most affected sectors is the Natural Language Processing (NLP) field, as exemplified by the work of Dr. Paul Azunre and his team at Ghana NLP. Their groundbreaking achievements in developing machine translation and speech systems for languages like Twi, Ewe, Ga, Dagbani, Gurene, and even Kikuyu from Kenya, have been far-reaching, impacting doctors, teachers, and startups across Africa. However, financial constraints have significantly affected the development and implementation of their work.
The lack of funding has been a major challenge for Ghana NLP, with the biggest hurdle being the inconsistent compensation of people involved in the project. Despite their accomplishments, Dr. Azunre notes that they have not benefited financially for the past ten years.
Moreover, financial constraints impact several critical areas in Ghana. For instance, the implementation of the National AI Strategy relies on securing reliable budgetary support. Experts recommend annual increases of at least 10% in ICT infrastructure investment, with a portion earmarked for AI projects. Without adequate funding, the strategy risks remaining aspirational without tangible outcomes across sectors like agriculture, education, health, and public administration.
Another challenge is the development of digital and data infrastructure. AI thrives on robust digital ecosystems, including broadband expansion, reliable electricity, data storage, and cloud computing capacity within the country. Financial constraints limit investments needed for extending internet access in rural areas, building fiber optics, and developing national data governance and privacy protections.
The high failure rate of AI projects is another concern. Globally, up to 70-90% of AI projects fail to progress beyond pilot or proof-of-concept phases. In Ghana, many AI initiatives stall due to lack of sustained investment, expertise, and infrastructure. Without financial resources to scale pilots, many projects never deliver real-world impact or become fully integrated into business or government operations.
Finally, financial challenges also influence Ghana’s ability to develop clear AI regulations that promote investor confidence, protect data, and foster innovation. Without well-funded AI governance frameworks, Ghana risks limiting private sector investment and ceding ground to foreign AI technology providers, thus remaining mostly consumers rather than innovators in AI.
Despite these challenges, Dr. Azunre sees opportunities in building practical, commercial tools-apps that solve urgent local problems. His approach to sourcing data is community-driven, aiming to produce high-quality data with smaller volumes compared to what corporations do when they automatically scrape large volumes of data.
Ghana's Minister of Communications, Digital Technology and Innovation, Samuel Nartey George, has acknowledged these challenges and plans to review the current AI strategy developed by the previous government and engage industry to ensure Ghana becomes the hub of AI on the continent.
In conclusion, addressing these financial challenges through increased and strategic investment in infrastructure, regulation, and capacity building is critical to unlocking AI’s transformative potential in Ghana and Africa. Local institutional support for pioneering work by figures like Dr. Paul Azunre and organisations like Ghana NLP is also crucial to overcoming these obstacles and realising the full potential of AI in the continent.
[1] AI for Africa: A Review of the State of AI in Africa and the Opportunities for AI to Transform the Continent. (2021). African Institute for Mathematical Sciences. [2] AI and Africa: The African Union’s Agenda for AI. (2021). African Union Commission. [3] AI in Africa: From Hype to Reality. (2020). World Economic Forum. [5] Ghana’s National AI Strategy (2023–2033). (2023). Government of Ghana.
- The integration of artificial intelligence (AI) in education and self-development sectors could lead to considerable personal growth opportunities in Ghana, but the lack of financial investment continues to undermine Ghana NLP's efforts to develop practical, community-driven, AI tools for local problems, potentially delaying such progress.
- To fully capitalize on the potential of AI in fields like agriculture, health, and public administration in Africa, including Ghana, it's essential to prioritize education and self-development by addressing financial hurdles in the sector, investing in infrastructure, creating clear AI regulations, and building capacity — this comprehensive approach will empower AI innovators like Dr. Paul Azunre and foster a continent-wide culture of self-development and personal growth through AI.
