AI reshapes financial reporting, raises risks to market trust

Artificial intelligence is rapidly transforming financial reporting, enabling faster analysis and wider access to data, but also introducing new risks to market trust, investor behaviour, and journalistic integrity, according to DataPro.

Speaking at a media training session recently, Oladele Adeoye, the firm’s executive director and chief rating officer, said AI is fundamentally changing how financial information is produced and consumed. “Artificial intelligence is accelerating the speed of financial reporting, but it also raises serious concerns about accuracy, transparency, and the potential impact on market trust,” he said.

AI tools can process vast volumes of data, identify patterns, and generate insights within seconds. They are increasingly used to analyse financial statements, detect anomalies, draft earnings summaries, and assess market sentiment from news and social media. While this improves speed and efficiency, it also raises concerns about the erosion of professional judgment in financial analysis.

A key challenge is the growing tension between speed and depth. AI-generated summaries allow investors to react almost instantly to corporate earnings, often before detailed human interpretation is available. Adeoye warned that this could heighten market volatility, as decisions may be driven by automated outputs lacking sufficient context.

The implications for investors are also uneven. Access to advanced AI tools is not equally distributed, creating the risk of information asymmetry, where institutional players gain an edge over smaller investors. At the same time, reliance on AI-driven insights may expose markets to errors if models misinterpret data or fail to capture broader economic realities, particularly in areas such as credit risk assessment.

Despite these changes, financial reporting remains critical to economic stability, linking companies, investors, and the public. Journalists continue to play a central role as interpreters and watchdogs, ensuring that financial information is accurate, contextualised, and rigorously scrutinised.

Ultimately, the future of financial reporting lies in collaboration between technology and human expertise. “AI will not replace human judgment in financial reporting; rather, it will require stronger scrutiny, better context, and greater responsibility from journalists to maintain trust,” Adeoye added.

Hope Moses-Ashike

Hope Moses-Ashike is an Associate Editor, Banking and Finance, with more than a decade of experience reporting on Nigeria’s financial system and broader economy. She closely tracks market movements, monetary policy decisions, company disclosures, regulatory actions, economic indicators, and global developments, and interprets what they mean for businesses, investors, policymakers, and households. Her reporting helps readers understand complex issues such as inflation trends, foreign exchange market dynamics, interest rate decisions, bank performance, and investment risks. She also covers major international events and periodically travels to Washington, D.C., to report on the World Bank/IMF Spring and Annual Meetings. Her dedication to financial journalism has earned her multiple recognitions and invitations to high-level professional development programmes. She is an alumna of the International Visitors Leadership Programme (IVLP) in the United States and holds an Advanced Financial Journalism Certificate from the Press Association Training in London, UK. Her other notable achievements include completing the Lagos Business School CMC Programme, the Bloomberg Media Africa Initiative Programme, and a Master Class in Journalism at Rhodes University in South Africa.