Title: Artificial Intelligence and Fiscal- Monetary Policy Coordination in Nigeria
Authors: . Ihuma Pius Ajogi
. Dr. Marian Chioma Ugwu
. Dangana Nuhu
Volume: 10
Issue: 6
Pages: 62-69
Publication Date: 2026/06/28
Abstract:
The emerging evolution of Artificial Intelligence (AI) to improved speed of public policy can be traced to several stages. Due to recent advancement in technology. Continue relying of personnel to perform fiscal and monetary policy formulation result to delayed in responding to urgent issues due to human factor who is bound to make mistake or suffer fatigue in some instance causing delay in performing task. Vital information needed to perform monetary policy coordination in Nigeria are not available at the right time sometimes thereby leading to unnecessary delays. There is limited use of Artificial Intelligence-driven policy tools by the federal ministry of finance and its subsidiaries and the Central Bank of Nigeria which if utilise effectively, can solve many human inadequacies relating to monetary policy coordination. The Primary objective of this paper is to examine the role of Artificial Intelligence in enhancing Fiscal-Monetary policy coordination in Nigeria. The research work adopted the Data-Driven Decision-Making Theory as its theoretical framework. Qualitative and Descriptive research design was used, secondary sources of data was utilised and analyzed using content analysis. This research found out that, there are series of challenges facing fiscal-monetary policy coordination in Nigeria which include high inflation, dependence of oil revenue, rising debt-service, and there is urgent need for AI. The study recommended supply of computers, power sector reform, improvement of broadband technology and full adoption of AI in fiscal-monetary policy coordination.