Implications of AI on the Finance industry

Preet Singh Damija · April 9, 2024

The rapid advancement of artificial intelligence (AI) has had a substantial impact on various industries, including the stock market. The use of AI has revolutionised not only the way we gather data but also how investors and financial professionals approach the market. This article will study the implications and benefits that AI has in the financial field.

The use of AI has been becoming more rampant as machine learning and algorithms are being used to breakdown large amounts of data into condensed forms to help identify patterns and make investment decisions. This has caused a shift in approach due to the efficiency of these systems, as AI-powered systems can process information much quicker and react to market changes, outperforming human traders.

In the field of accounting, AI has been essential in automating many activities, such as financial report auditing and detecting fraud and irregularities in balance sheets. By capitalising on the power of AI, accountants can greatly streamline their workflow, reduce the risk of human error, and use their time on much more meaningful tasks that greatly require a human touch. Moreover, the capabilities are greatly enhanced with the integration with other software, such as SPSS, which is widely used statistical software, which has enabled the use of data analysis to be more precise due to machine learning, thus greatly affecting the decision-making process in the financial sector.

The shift in focus and the reliance on AI have greatly impacted the stock market. Hedge funds and investment firms have been at the forefront of adopting this method due to the increased efficiency and greater data analysis accuracy, but there has also been a greater use of automatic trading, which may be a concern. Automatic trading is when AI algorithms execute many trades through high-speed trading based on predetermined criteria created by the firm itself to manage risk and the impact on the market. However, this has raised many ethical issues, as this can result in market manipulation due to the enormous amount of volume that can be traded by this method. Nevertheless, regulators are continuously trying to ensure this doesn’t occur by setting stricter rules and creating transparency when it is being used in financial markets.

In conclusion, the integration of AI in the financial markets has had significant implications for the direction of this market. The integration of AI technology has led to a more efficient and data-driven decision-making process, as it is much more accurate and allows employees to not do menial tasks and prioritise information that will allow them to show their abilities. Conversely, there are many ethical issues that arise from the use of AI. For that to not be a concern, there has to be full transparency and strict regulations set for when AI is used to also avoid these problems and ensure that it doesn’t take over human jobs.

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