## Artificial Intelligence and its Impact on Financial Markets and Financial Stability _IMF News, September 6, 2024_ ## Source details **Canonical URL:** [Artificial Intelligence and its Impact on Financial Markets and Financial Stability](https://www.imf.org/en/news/articles/2024/09/06/sp090624-artificial-intelligence-and-its-impact-on-financial-markets-and-financial-stability) ## Other formats - [Markdown version](/en/news/articles/2024/09/06/sp090624-artificial-intelligence-and-its-impact-on-financial-markets-and-financial-stability/index.md) - [Structured JSON version](/en/news/articles/2024/09/06/sp090624-artificial-intelligence-and-its-impact-on-financial-markets-and-financial-stability/index.json) - [Bundle manifest](/en/news/articles/2024/09/06/sp090624-artificial-intelligence-and-its-impact-on-financial-markets-and-financial-stability/bundle-manifest.json) ## Bibliographic details - Published: September 6, 2024 --- ### Overview - Remarks by Tobias Adrian, Financial Counsellor and Director of the Monetary and Capital Markets Department, IMF, at Bund Summit 2024 “Navigating a Changing World”. - Shanghai, China — September 6, 2024. - As prepared for delivery: advancements in Artificial Intelligence (AI), particularly Generative-AI, are unfolding rapidly and are poised to impact financial markets and financial stability. ### Areas of AI impact on financial markets - Efficiency - AI—and in particular Generative AI—is being used to enhance productivity by speeding up and automating many current tasks. - Finance is particularly ready to take advantage of these advances because efficient processing of data is already central to most activities in finance. - Expected rapid takeoff across back-office operations, customer-facing interfaces, research, and building analytical models. - Evolutionary improvements - Machine-learning and neural networks have been used by cutting-edge investment firms for at least ten years and now play a significant role in automated and high-speed trading in the most liquid and deepest markets. - Large language models enable processing of very large amounts of unstructured, often text-based, data to enhance analytical tools. - Implications include: - Enhancing the power of broad and extensive forecasts. - Enabling quantitative investors to quickly analyze complex documents such as bond indentures or corporate earnings releases, improving price discovery across asset classes. - Through AI-assisted coding, data gathering, and investment analysis, Gen-AI is likely to lower barriers to entry for quantitative investors into less liquid asset classes, such as emerging markets and corporate debt. - Potential improvement of market liquidity in these asset classes, with attendant financial stability challenges. - Revolutionary transformation - The much larger jump from AI-generated model inputs to very sophisticated autonomous AI-driven financial agents still seems far off. - Many envision autonomous AIs that generate and execute trades without human oversight, but market participants are not comfortable with this idea yet. - Current market participants emphasize human oversight for regulatory, risk-management, liability, and ethical reasons. - The area is evolving quickly and requires continued attention. ### Implications for financial stability - Potential benefits - AI can bring productivity enhancements, cost savings, improved regulatory compliance or RegTech, and more tailored offers to clients. - Technology has historically improved price discovery, deepened markets, and often dampened volatility in times of stress; AI is likely to continue these trends. - Potential risks - Limited negative impacts of quantitative trading have occurred in some sudden market dislocations; there are fears these risks could rise with the use of AI. - AI could exacerbate traditional financial stability channels such as interconnectedness, liquidity, and leverage. - Specific concern that AI-driven speed and scale of market moves may exceed previous expectations, prompting re-evaluation of leverage and margining practices. - Notable market episodes referenced - August 5th selloff in Japanese and US equity markets: an instructive example where turmoil was reportedly amplified by sophisticated hedge funds acting at once when algorithms spotted clear downward trends and volatility spiked. - Analogies drawn to: - Flash crash in the US equity market in May 2010. - Flash rally in the US treasury market in October 2014. ### Supervisory, monitoring, and market-structure considerations - Structural readiness - Markets continue to move faster; preparedness for even greater speeds due to AI is necessary. - Considerations include margining requirements, circuit breakers, and the resilience of central counterparties. - Monitoring and entity oversight - Regulators need tools to track developments in changing markets and the entities acting in them. - AI may increase the importance of nonbanks—broker-dealers, trading firms, hedge funds, and related entities—that can take advantage of AI without intrusive supervision. - Risk of not having a good understanding of who these nonbank entities are, how they are funded, and what they are doing. - After past flash events, new circuit breakers and reporting and disclosure requirements improved market understanding and functioning. - Concentration risks and critical AI services - Provision of critical AI services is concentrated in a handful of third parties, creating interdependencies that deserve regulatory attention, particularly for market functioning in the event of a significant outage. - Cyber-attacks, manipulation, and sup‑tech - High-profile cases involving “deep fakes” may be the tip of the iceberg. - Regulators must invest in supervisory technology (so called sup-tech) that can use AI to process information and spot fraud and other potential troubles. - Sup‑tech is already effectively used in money laundering and counter-terrorism; as malicious actors get more sophisticated, supervisory capabilities must advance accordingly. ### IMF activities and recommendations - The Fund plays a pivotal role in shaping global financial sector policies and collaborates with international organizations and standard-setting bodies as new potential risks arise. - The Fund continuously monitors developments; one chapter in the forthcoming Global Financial Stability Report examines how AI is likely to transform capital markets and impact financial stability more broadly. - The Fund helps member countries build and strengthen capacities to manage financial stability and is incorporating work on AI into this assistance. - A collaborative approach will be needed to deal effectively with the challenges and opportunities AI will bring in the years to come. *Source: Remarks by Tobias Adrian at Bund Summit 2024, Shanghai, China — September 6, 2024.* --- ## References - [Tobias Adrian](http://www.imf.org/external/np/bio/eng/ta.htm) - [People's Republic of China and the IMF](http://www.imf.org/external/country/CHN/index.htm) - [Speeches](https://www.imf.org/en/news/searchnews) - [PRESS CENTER](http://presscenter.imf.org/) - [new technologies](https://www.imf.org/en/Publications/fandd/issues/2023/12/ST-harnessing-AI-for-global-good-Gita-Gopinath) - [the area is evolving very quickly](https://www.imf.org/en/Blogs/Articles/2024/01/14/ai-will-transform-the-global-economy-lets-make-sure-it-benefits-humanity) - [AI can bring new opportunities and benefits](https://www.imf.org/en/Publications/Departmental-Papers-Policy-Papers/Issues/2021/10/21/Powering-the-Digital-Economy-Opportunities-and-Risks-of-Artificial-Intelligence-in-Finance-494717) - [RegTech,](https://www.imf.org/en/News/Articles/2021/10/29/sp102921-ai-and-regtech) - [areas for improvement](https://www.imf.org/en/Publications/fintech-notes/Issues/2023/08/18/Generative-Artificial-Intelligence-in-Finance-Risk-Considerations-537570) - [the danger of cyber-attacks](https://www.imf.org/en/News/Articles/2023/01/17/sp-cyber-resilience-delivering-through-disruption) - [https://www.imf.org/en/home](https://www.imf.org/en/home) _Source: https://www.imf.org/en/news/articles/2024/09/06/sp090624-artificial-intelligence-and-its-impact-on-financial-markets-and-financial-stability_