Artificial Intelligence Impact on Financial Reporting

Abstract

The speed of change in digital technology is now increasingly embedded throughout day-to-day accounting and financial reporting processes, with AI and automation touted as the next enablers of organizational efficiency and quality of reporting. With the growing integration of intelligent technologies for financial information processing adopted by enterprises, understanding their effects on the precision and dependability of financial reporting is becoming increasingly important. Timely and reliable financial reports are vital to good decision making, regulatory oversight, investor confidence, and corporate transparency. Nevertheless, adoption of AI and automation brings with it paperwork risks in many forms that could impact reporting. [[Therefore, this paper explores the effects (AI) and on financial reporting accuracy with technological risks as a moderator. The study is based on three theories the Technology Acceptance Model (TAM), Resource-Based View (RBV), and Agency Theory, which explain collectively how technological assets affect the organizational performance and quality of reporting. A quantitative methodology was used to examine the hypothesized relationships empirically. Primary data were collected by means of a structured questionnaire from accounting professionals, auditors, financial managers and finance officers employed in different sectors of Pakistan such as banking, manufacturing, service organizations, and audit firms. A total of 200 valid responses were received and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with the help of Smart PLS software. The study results show that AI positively affect the accuracy of the financial reporting on a great scale. The quality of financial reporting is improved through AI-based systems such as enhancing data processing ability, identifying abnormal data, decreasing human errors, and facilitating real-time decision-making. The findings also show that financial reporting accuracy was positively and significantly influenced by automation as automation allows for a simplification in accounting procedures, improved operational efficiency, diminished interference in manual work and uniformity in managing financial data. These results imply that companies that implement AI and automation have the potential to generate more accurate, reliable and timely financial reporting. In addition, the results show that the technological risks significantly moderate the impacts of AI and automation on financial reporting accuracy. Threats and risks, e.g., related to cybersecurity, low quality data, algorithm bias, system failures, lack of transparency, and overreliance on automated systems can diminish the benefits of AI and automation for reporting quality. This result also underscores the need for strong governance, cybersecurity, internal controls, and data management practices to fully capitalize on the opportunities presented by intelligent technologies and minimize any associated risks. The paper adds to the literature by investigating the implication of AI and robotics on financial reporting quality in the environment of an emerging economy. It further builds upon existing literature by investigating the mediating effect of technological risks, adding complexity capture to the research model with respect to the extent IE influence reporting outcomes. The results are timely and important for organizations, policymakers, accounting practitioners, and regulators that want to encourage digital transformation while ensuring the trustworthiness of financial reporting systems. In summary, Artificial Intelligence and Automation are disruptive technologies that have the potential to revolutionize financial reporting accuracy and firm performance. Nevertheless, effective risk management and ongoing monitoring are prerequisites for realizing the promise of technological innovation without being detracted by the unexpected challenges. Those that successfully weave AI and automation strategically with robust governance stand to benefit from even greater financial transparency, operational efficiency, and stakeholder confidence. 

Keywords:

Artificial Intelligence, Automation, Financial Reporting Accuracy, Technological Risks, Digital Transformation, Accounting Information Systems, Financial Reporting Quality, Smart PLS, Emerging Technologies, Pakistan.