A Global Phenomenon: The Rise of AI vs The Fall of Financial Markets
Is Artificial Intelligence revolutionizing the global economy, or are financial markets reacting to AI faster than they can truly keep up? Since 2020, AI has been on an increasing rise, generating over $202.3 Billion in revenue from investments globally. Intelligence technology has been such an important part of everyday lives, that it has changed the way most markets function regularly. One market, specifically, whose trajectory has changed immensely is the financial market, with emphasis on market volatility, mergers, and investments. This is because companies are now being evaluated on more than just their products, rather how they are able to integrate AI within their businesses. The market is set to reach over $60 Billion by the end of 2033, as shown in figure 1. Therefore, there is an ongoing debate about whether AI’s real economic impact, which is undetermined, matches the scale of market expectations. The focus of the article is to explain that while AI's impact on real ecc productivity is still uncertain, it is increasingly transforming financial markets everyday through new trading initiatives, changing decision making, and increasing mergers and acquisitions. These changes are creating market efficiency while also introducing new complexities within it.
Figure 1
From homes to outside spaces, AI is currently significantly changing the world of trading. As new AI systems begin to enter the financial markets, there are more debates as to the impact that they bring along. In fact, AI driven trading systems in the U.S. have a 37% concentration for the use of AI in the trading market (Pota 2025). This means that they are heavily dependent on a small number of countries or suppliers. Figure 2 shows that 30% of the concentration reason comes from limited suppliers/countries who have the proper tools needed to produce the technology needed for AI. This indicates that the global economy is extremely reliant on a small number of suppliers to generate growth overall, creating a more fragile and vulnerable economy.
Figure 2
Furthermore, Algorithmic trading is changing, with trading now being 60%-70% automated (Goehmann 2025). This allows for an increased use of automated trading which increases efficiency and eliminates human error that could potentially occur due to potential emotions and biases. It also helps reduce transaction costs. This helps strengthen the idea of eliminating human labor in finance markets because trades can now happen within milliseconds, human traders are being replaced, or are increasingly using AI systems, and market reactions are becoming faster. Despite the increase in AI usages which are allowing for work in the markets to be done far more efficiently than ever before, it is important to understand that there are risks that also come with the efficiency present within AI. In fact, in most cases related to AI and financial markets, there are more efficiency and instability issues present due to the higher amounts of transactions occurring.
AI is also transforming how investors make decisions by improving data analysis and forecasting abilities. In previous years, investors were heavily dependent on human judgement, past trends, and financial reports. Now, however, AI systems are capable of analyzing large amounts of data and providing insights that would be difficult for humans to find on their own. AI has significantly improved data analysis and forecasting, allowing investors to make more informed decisions(Walsh 2025). Furthermore, investors are increasingly relying on AI systems to help guide their decisions and strategies, helping to determine where investors should allocate their capital (Goldman Sachs 2025). This means that AI systems are no longer being used solely for back office automation or data processing, rather the artificial intelligence technology is now becoming an integral tool in the investment process itself. Companies utilizing the systems are able to analyze large sets of data, including earnings reports, economic indicators, and interest expectations, far quicker than any human analyst. As a result, investors are relying on AI generated insights to determine how to allocate capital across their stocks, bonds, and other valuable asset classes. An example of how they are accomplishing this task is by using AI models that are helping detect more concrete consumer sentiments and earning momentums in semiconductor companies.
At the same time, AI is also flagging recession risks, which is leading investors to shift funds towards more resilient industries or even fixed income securities. Similarly, a study represents how companies are entering their own data into AI systems to help better understand it easier(Cohen 2025). This is present, specifically, in cryptocurrency markets, where AI and tools for machine learning are used to understand bitcoin trading patterns. This demonstrates how Artificial Intelligence has started acting as a consultant for most businesses, generating various solutions and insights that guide human decisions. It is also important to notice that these same investors might start over utilizing AI, worsening the overdependence of AI worldwide, introducing potential risks.
Another major impact of AI on financial markets is its role in increasing mergers and acquisitions and reshaping business deals. AI has become a major factor in determining which companies will receive investment from others and how certain capital aspects will be allocated for. The technology has contributed to a significant increase in deals with the private writing industry reaching over $1.6 trillion in revenue (PWC 2025). In fact, multiple of the most successful and profitable deals are centered around companies that either use AI or are developing new Artificial Intelligence technologies.
The scope of AI, reaching far beyond just certain markets, and more so the entirety of the business market is one that must be viewed constantly to ensure that our markets are able to keep up with the AI demand. While there are countless benefits to the increased usage of AI, as mentioned in the article, it is important to understand that the rapid lead can also lead to higher volatility and even push markets towards monopolistic structures (Bund 2024). Additionally, when deals increase rapidly, the capital involved begins to concentrate among a smaller group of firms, which creates a gap between successful companies. It is important to note that while AI helps communities grow and achieve levels of progress that they have never done before, it also contributes to a more competitive and uneven economic environment.
Although the sources presented in this article are generally reliable and hold both negative and positive perspectives, there could be chances of bias involved. For example, many of the sources mentioned in this article consist of websites that work directly in the financial markets. This is an issue because the sources can easily word their articles to help benefit AI, so more investors invest in the new and coming technology, creating space for higher profits for the individual companies.
Apart from bias caused by the websites, I must mention that I contain my own. As someone who deeply cares about unemployment numbers and issues, witnessing the rise of Artificial Intelligence replacing human jobs causes me to question the relevance of AI further than needed. In fact, at the end of 2026, 20 million jobs will be taken by AI ( Prestianni 2025). The unemployment rates are already on a rise and with an increase of technology, 20 million workers would be facing the risk of unemploymentness. A risk that is far too dangerous for us all. This exact reason can make it seem more difficult for users, like me, to understand the benefits that Artificial Intelligence brings. I believe that if we all continue to rely heavily on AI for all tasks that could be performed by humans, we are going to face critical challenges that could lead to a global financial crisis.
Figure 3
AI is on a rise and the biggest market it is targeting is the financial market. The complex technology is changing how every single sector in the business field works and is changing the importance of human input/ insights for simple and complex projects. This is causing positives such as increased deals, automated trading systems, yet also negatives such as higher volatility and redefining the workforce. The importance of this article is the nuance it represents when it comes to the usage of AI in trading and financial markets. This article covers an in-depth analysis from research provided by the top leading financial firms internationally on the effects of AI, while also mentioning research that emphasizes the impact globally. Although talked about often, understanding both sides is crucial to interpret current market behaviors and their implications on sustainable economic progress. The implication is whether these financial markets are benefiting finance markets or not.
References:
“AI in Finance Market.” Market.Us, Aug. 2024, market.us/report/ai-in-finance-market/
Bund Summit 2024 “Navigating a Changing World” Remarks by Tobias Adrian, F. C. and D. of the M. and C. M. D. (2024, September 6). Artificial Intelligence and its impact on financial markets and financial stability. IMF. https://www.imf.org/en/news/articles/2024/09/06/sp090624-artificial-intelligence-and-its-impact-on-financial-markets-and-financial-stability
Cohen, G., & Aiche, A. (2025, April 24). Predicting the bitcoin’s price using AI. Frontiers in artificial intelligence. https://pmc.ncbi.nlm.nih.gov/articles/PMC12058735/
Emerging markets stocks can balance volatility from the AI trade. Goldman Sachs. (2025, December 17). https://www.goldmansachs.com/insights/articles/emerging-markets-stocks-can-balance-volatility-from-the-ai-trade
Goehmann, M. (2025, September 23). The impact of AI on Stock Market Trading: LSE Research. The London School of Economics and Political Science. https://www.lse.ac.uk/research/research-for-the-world/ai-and-tech/ai-and-stock-market
Pereira, L. (2025, March 6). Council post: The disruption of AI in stock markets: A new era of investment decisions and automation. The Disruption Of AI In Stock Markets: A New Era Of Investment Decisions And Automation. https://www.forbes.com/councils/forbestechcouncil/2025/03/06/the-disruption-of-ai-in-stock-markets-a-new-era-of-investment-decisions-and-automation/
Prestianni, Timothy. “59 AI Job Statistics: Future of U.S. Jobs.” National University, National University, 27 Jan. 2026, www.nu.edu/blog/ai-job-statistics/.
Pota, V., Todorova, Z., & O’Neal, M. (2025, May 1). Talent and trade: The New Battlegrounds in AI: Barclays Ib. Barclays Investment Bank. https://www.ib.barclays/our-insights/talent-and-trade-battlegrounds-in-ai.html
US deals 2026 outlook: PWC. The next wave of M&A: Bigger and bolder deals driven by AI and private equity. (2025, December 16). https://www.pwc.com/us/en/services/consulting/deals/outlook.html
Walsh, D. (2025, January 21). A new look at the economics of ai. MIT Sloan. https://mitsloan.mit.edu/ideas-made-to-matter/a-new-look-economics-ai
“What Is the Unemployment Rate in Your Country?” Al Jazeera, Al Jazeera, 1 May 2017, www.aljazeera.com/news/2017/5/1/what-is-the-unemployment-rate-in-your-country.
