The Hidden Risk: AI Without Governance Is the Next Financial Crisis

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@article{1718060,
      author = {Rohit Rajdev},
      title = {The Hidden Risk: AI Without Governance Is the Next Financial Crisis},
      journal = {Iconic Research And Engineering Journals},
      year = {2026},
      volume = {9},
      number = {11},
      pages = {3214-3225},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1718060.pdf},
      abstract = {Artificial Intelligence (AI) has been revolutionizing the global financial system with its various applications, such as predictive analytics, automated trading, credit scoring, fraud detection, and algorithmic risk management. These innovations increase operational efficiency and market responsiveness, but they create a new category of vulnerability at systemic level that can lead to systemic financial instability, in the absence of adequate governance structures. This article explores the threat posed by AI systems, which, if not properly managed and controlled, could be a catalyst for the next financial crisis. The study examines the potential effects of opaque algorithms, over-automated systems, biased decision-making, data manipulation and co-ordinated AI systems within financial infrastructures on increasing volatility and diminishing accountability of institutions. Previous research shows that AI systems can amplify contagion effects, exacerbate speculative trading, and provide false trading signals without transparency, ethical regulation and regulation coordination (Danielsson & Uthemann, 2025; Singh et al., 2025). Moreover, as predictive AI models gain traction in the banking and investment industry, there are governance risks regarding explainability, cybersecurity, accountability, and centralizing technological power (Feldman & Stein, 2022; Fritz-Morgenthal et al., 2022).
The article also reviews the governance lessons learned from the 2008 financial crisis, and highlights the fact that many of these issues are repeating themselves in the AI-powered financial ecosystems (Kathy, 2025; Goldin & Vogel, 2010). Furthermore, the study assesses ongoing international policy and regulatory responses, as well as financial institutions' and regulators' AI governance frameworks. The results indicate that the following elements are essential for good AI governance: clear algorithms, rules for responsible use of AI, cooperation between nations' regulations, ongoing auditing processes, and structures that put humans in the driver's seat. If these protections are not in place, AI could become a new threat to the financial system, rather than just a financial innovation tool, potentially threatening global markets. The article summarizes and explains that governance needs to keep up with the technological innovation if AI is not to be a threat to financial stability.},
      keywords = {Artificial Intelligence, AI Governance, Financial Crisis, Systemic Risk, Algorithmic Accountability, Financial Stability, Risk Management, Predictive Analytics, Regulatory Frameworks},
      month = {May},
      doi = {https://doi.org/10.64388/IREV9I11-1718060}
  }