Nigeria's financial reporting requires technological expertise to interpret data and understand pitfalls inherent in the use of Artificial Intelligence by media professionals, according to the Executive Director and Chief Rating Officer of DataPro, Oladele Adeoye. He emphasized that concerns over transparency, data interpretation, and credibility in economic reporting must be addressed to preserve the unbiased nature of the profession.
Training Initiative Details
Speaking at the yearly virtual media training, a capacity-building initiative launched in 2021 to deepen public understanding of credit ratings and strengthen financial journalism, Adeoye noted that the training comes at a time when AI tools are rapidly transforming how financial data is generated, analyzed, and reported. He observed that traditionally, journalists relied on company disclosures, analyst briefings, and expert interviews, but that is changing today as AI can equally provide vital information.
“Today, AI systems can process vast datasets, generate real-time insights, and even draft financial summaries, which is not just reshaping newsroom workflows but also raising risks around bias, misinformation, and opacity. The shift goes beyond speed to deeper issues of trust. Financial reporting is no longer just about numbers; it is about trust, transparency, and resilience,” he stated. He further noted that journalists must now interpret dynamic data in ways that empower decision-making.
Participants and Objectives
The program drew participants from print and electronic media, capital market editors, financial analysts, communication officers, and industry influencers. The broader objectives of the training reflected a widening skills gap in financial journalism, particularly in emerging markets, such as understanding financial statements (balance sheets, income, and cash flow); interpreting ratios and performance indicators; applying AI tools in data analysis and storytelling; and ensuring transparency and accountability in reporting. Participants also underwent hands-on sessions using real-world financial data, alongside case studies of corporate and government reporting.
Adeoye disclosed that beyond journalism training, the initiative forms part of DataPro's broader effort to expand awareness of the credit rating industry, which is seen as critical to capital allocation and investor protection. Licensed by the Securities and Exchange Commission of Nigeria since 2004, the firm has positioned itself as a technology-driven player leveraging AI, machine learning, and big data to improve turnaround time and transparency in rating processes.
Impact on Financial Ecosystem
Adeoye said DataPro's push also reflects broader shifts in Nigeria's financial ecosystem, where demand for credible, data-backed analysis is rising amid market volatility and reforms. Participants agreed that improving journalists' understanding of financial analysis could have ripple effects across the economy. They noted that better-informed reporting can enhance investor confidence, reduce misinformation, and improve public financial literacy, which are key gaps in Nigeria's capital market development. They think that the integration of AI into financial reporting obviously raises new governance questions, particularly around verification, accountability, and editorial independence.
However, Adeoye maintained that AI will not replace financial analysts or journalists but will redefine their roles. He explained that as financial reporting becomes faster and more predictive, the emphasis is shifting toward interpretation, validation, and ethical communication of data, which is the very skill the training aimed to strengthen.
