{"id":8035,"date":"2025-07-02T07:15:00","date_gmt":"2025-07-02T05:15:00","guid":{"rendered":"https:\/\/kriptomat.cash\/can-ai-prevent-the-next-financial-crisis\/"},"modified":"2026-04-14T09:48:32","modified_gmt":"2026-04-14T07:48:32","slug":"can-ai-prevent-the-next-financial-crisis","status":"publish","type":"post","link":"https:\/\/kriptomat.hr\/en\/can-ai-prevent-the-next-financial-crisis\/","title":{"rendered":"Can AI prevent the next financial crisis?"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"8035\" class=\"elementor elementor-8035 elementor-7911\" data-elementor-post-type=\"post\">\n\t\t\t\t<div class=\"elementor-element elementor-element-cc45da8 e-flex e-con-boxed e-con e-parent\" data-id=\"cc45da8\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-f98e1f6 elementor-widget elementor-widget-heading\" data-id=\"f98e1f6\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h1 class=\"elementor-heading-title elementor-size-default\">The importance of AI<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-a807c73 e-flex e-con-boxed e-con e-parent\" data-id=\"a807c73\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-3f7b48d elementor-widget elementor-widget-text-editor\" data-id=\"3f7b48d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Artificial intelligence (AI) today plays a key role in preventing crises in various sectors. In traffic, it enables autonomous vehicles that analyze sensor data in real time to avoid collisions and ensure the safety of passengers. Even in customer support, AI chatbots are increasingly outperforming humans in recognizing frustration and calming disgruntled users, thus providing a faster and more efficient experience. Given the ever-expanding range of applications and better results, the question arises \u2013 what else can AI predict or prevent? In the financial sector, it is already deeply integrated: it is used for algorithmic trading, risk analysis and portfolio management. Yet, despite impressive successes in preventing various forms of &#8220;collisions&#8221; \u2013 literal and figurative \u2013 <a href=\"https:\/\/kriptomat.cash\/en\/can-ai-steal-your-crypto\/\">AI<\/a> has still not been able to stop a real financial crisis. It&#8217;s time to explore why \u2013 and whether it can change.      <\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-f80b18d e-flex e-con-boxed e-con e-parent\" data-id=\"f80b18d\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-5fe2953 elementor-widget elementor-widget-image\" data-id=\"5fe2953\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/s3.cointelegraph.com\/uploads\/2023-11\/c6c7c501-1d51-4185-985d-af7e3d2a6d9b.jpg\" title=\"\" alt=\"\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-af4d44f e-flex e-con-boxed e-con e-parent\" data-id=\"af4d44f\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-548653c elementor-widget elementor-widget-text-editor\" data-id=\"548653c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Source: <a href=\"https:\/\/cointelegraph.com\/news\/blockchain-ai-help-research-extending-human-life\">cointelegraph<\/a><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-ca092c6 e-flex e-con-boxed e-con e-parent\" data-id=\"ca092c6\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-7e2cf7c elementor-widget elementor-widget-heading\" data-id=\"7e2cf7c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h1 class=\"elementor-heading-title elementor-size-default\">The Evolution of AI in Finance<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-2573bc1 e-flex e-con-boxed e-con e-parent\" data-id=\"2573bc1\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-96f689c elementor-widget elementor-widget-text-editor\" data-id=\"96f689c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>AI is not a new phenomenon. Back in the 1980s, pioneering economists began researching how artificial intelligence could be applied in economic analysis. Among them, Nobel Prize winner Lawrence R. Klein, known for his work on macroeconomic models, stands out. In the last three decades of his career, he focused on the so-called nowcasting \u2013 predicting economic trends in real time \u2013 which laid the foundations for today&#8217;s integration of AI into economic research.    <\/p><p>In the early 2000s, there were new shifts: <a href=\"https:\/\/kriptomat.cash\/en\/deepseek-vs-chatgpt-main-differences-benefits-what-they-are-used-for\/\">AI systems<\/a> became more capable of predicting economic trends thanks to more advanced models that processed large amounts of data more efficiently. However, all these innovations were not enough to predict the financial crisis of 2008.  <\/p><p>It is only with the advent of machine learning in the last decade that we are witnessing a real revolution in economic forecasting. Today&#8217;s models can analyze vast and complex data sets, revealing patterns and trends that previously remained invisible to human analysts. <\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-d48448c e-flex e-con-boxed e-con e-parent\" data-id=\"d48448c\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-c399510 elementor-widget elementor-widget-image\" data-id=\"c399510\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/s3.cointelegraph.com\/uploads\/2023-10\/f7931d22-8980-4b91-b725-9e639aa15576.jpg\" title=\"\" alt=\"\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-8ee91cc e-flex e-con-boxed e-con e-parent\" data-id=\"8ee91cc\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-99b411f elementor-widget elementor-widget-text-editor\" data-id=\"99b411f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Source: <a href=\"https:\/\/cointelegraph.com\/news\/bitcoin-based-ai-language-model-aims-to-drive-education\">cointelegraph<\/a><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-4c8786b e-flex e-con-boxed e-con e-parent\" data-id=\"4c8786b\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-7ba2e55 elementor-widget elementor-widget-heading\" data-id=\"7ba2e55\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">AI algorithms for financial forecasts<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-c31ce5e e-flex e-con-boxed e-con e-parent\" data-id=\"c31ce5e\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-504d73d elementor-widget elementor-widget-text-editor\" data-id=\"504d73d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>The main AI methods used in economic forecasting today include machine learning and deep learning. These technologies make it possible to analyze vast amounts of data to identify patterns and predict future trends in the economy. <\/p><p><strong>Machine learning<\/strong> is used in two basic forms \u2013 supervised and unsupervised learning.<br>In <strong>supervised learning<\/strong>, models are trained on labeled datasets, where the outcome is known. For example, using historical data on GDP, inflation and unemployment, AI models such as linear regression, decision trees or SVM (Support Vector Machine) can accurately predict future economic indicators. <br><strong>Unsupervised learning<\/strong>, on the other hand, analyzes unlabeled data in search of hidden structures. By using clustering algorithms, it is possible to identify similarities between countries or markets, which helps to shape targeted economic policies or investment strategies. <\/p><p><strong>Deep learning<\/strong> further pushes the boundaries of what is possible. Models such as recurrent long-term memory neural networks (LSTMs) or convolutional neural networks (CNNs) successfully capture complex relationships in temporal and spatial data sets. Recent research has shown that deep learning can outperform traditional methods in predicting key macroeconomic variables such as GDP growth or the inflation rate.  <\/p><p>But while these algorithms are effective in forecasting individual economic indicators, the question remains \u2013 can they recognize and prevent a financial crisis in time?<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-8333622 e-flex e-con-boxed e-con e-parent\" data-id=\"8333622\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-4b1bdd3 elementor-widget elementor-widget-image\" data-id=\"4b1bdd3\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/s3.cointelegraph.com\/uploads\/2022-06\/2cc00304-7eb3-4e32-9298-645b4b9215cb.jpg\" title=\"\" alt=\"\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-c5b11b6 e-flex e-con-boxed e-con e-parent\" data-id=\"c5b11b6\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-e60bab5 elementor-widget elementor-widget-text-editor\" data-id=\"e60bab5\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Source: <a href=\"https:\/\/cointelegraph.com\/news\/blockchain-s-potential-how-ai-can-change-the-decentralized-ledger\">cointelegraph<\/a><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-863be34 e-flex e-con-boxed e-con e-parent\" data-id=\"863be34\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-9be4e1f elementor-widget elementor-widget-heading\" data-id=\"9be4e1f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h1 class=\"elementor-heading-title elementor-size-default\">Can AI predict economic crises?<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-273f967 e-flex e-con-boxed e-con e-parent\" data-id=\"273f967\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-05fda17 elementor-widget elementor-widget-text-editor\" data-id=\"05fda17\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>AI today has a number of methods to recognize signs of financial instability early and predict possible recessions. AI-based Early Warning Systems (EWS) have been developed to continuously monitor and analyse vast amounts of financial data. The goal is to detect anomalies and patterns that may indicate upcoming economic challenges.  <\/p><p>These systems use machine learning algorithms to process market trends, credit spreads, and various macroeconomic indicators. In this way, they generate timely signals that can help policymakers and financial institutions take preventive measures. For example, the International Monetary Fund (IMF) has explored the application of AI models to predict crises in different parts of the economy \u2013 including the financial, fiscal, and foreign trade sectors. These models use a wide range of variables \u2013 from economic and financial, to demographic and institutional \u2013 to increase the accuracy of forecasts.   <\/p><p>AI is also used in predicting recessions. By analyzing historical data and applying various machine learning models, the researchers developed methods to estimate the likelihood of a recession \u2013 for example, for the US economy \u2013 based on key macroeconomic indicators. <\/p><p>Two concrete examples show the effectiveness of these systems:<\/p><ul><li><strong>Banking sector supervision<\/strong>: The European Banking Authority (EBA) is investigating the use of algorithms such as random forests and neural networks to automate banking supervision. Instead of relying on manual reports, AI models analyze data in real-time to identify potential threats and alert supervisors in a timely manner. <\/li><li><strong>Predicting stock market crises<\/strong>: By using everyday market data and numerous explanatory variables, AI models are increasingly able to identify signs of potential stock market crises in advance, providing investors with valuable information for risk management.<\/li><\/ul><p>Despite all these achievements, the key question remains: can AI not only predict, but also prevent the next global financial crisis?<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-b02cd92 e-flex e-con-boxed e-con e-parent\" data-id=\"b02cd92\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-e47a6aa elementor-widget elementor-widget-image\" data-id=\"e47a6aa\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/s3.cointelegraph.com\/uploads\/2023-03\/8498cd8e-7ace-4538-aaea-822140f9772d.jpg\" title=\"\" alt=\"\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-343f5fc e-flex e-con-boxed e-con e-parent\" data-id=\"343f5fc\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-bdb0649 elementor-widget elementor-widget-text-editor\" data-id=\"bdb0649\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Source: <a href=\"https:\/\/cointelegraph.com\/news\/ai-set-to-benefit-from-blockchain-based-data-infrastructure\">cointelegraph<\/a><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-e93a86c e-flex e-con-boxed e-con e-parent\" data-id=\"e93a86c\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-287174f elementor-widget elementor-widget-heading\" data-id=\"287174f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">AI as a risk identifier<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-f9ee9c7 e-flex e-con-boxed e-con e-parent\" data-id=\"f9ee9c7\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-17737f8 elementor-widget elementor-widget-text-editor\" data-id=\"17737f8\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>By applying advanced algorithms and sophisticated data analysis methods, AI significantly improves the capabilities of monitoring complex financial networks and assessing the resilience of financial institutions in various scenarios.<\/p><p><strong>Identifying systemic risks<\/strong> is one of the key functions of AI in finance. Machine learning-based systems continuously analyze vast amounts of data \u2013 from transaction records and market movements to macroeconomic indicators \u2013 to detect anomalies and signals that indicate the emergence of risk. This proactive approach allows for the early identification of weak points in the system, which, if neglected, could lead to serious instability.  <\/p><p>One of the particularly useful AI techniques in this area is <strong>network analysis<\/strong>. This method provides insight into the interconnections between financial institutions. By mapping these relationships, AI can identify key &#8220;nodes&#8221; \u2013 institutions whose potential collapse could cause a domino effect and threaten the entire financial system.  <\/p><p><strong>Stress testing and scenario analysis<\/strong> have also been greatly improved by the application of AI. Instead of relying on predefined scenarios, AI models automatically generate a large number of possible economic shocks and quickly simulate the effects on individual institutions or the system as a whole. Thanks to the ability to process huge amounts of data and take into account a wide range of variables, the results of these simulations offer a more accurate picture of potential vulnerabilities.  <\/p><p>In this way, AI helps institutions and regulators better prepare for possible impacts and develop more effective risk management strategies.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-344027b e-flex e-con-boxed e-con e-parent\" data-id=\"344027b\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-6fbbaa9 elementor-widget elementor-widget-image\" data-id=\"6fbbaa9\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/s3.cointelegraph.com\/uploads\/2023-11\/bc4d9c44-b839-4d37-a9de-37fb82cf4c57.jpg\" title=\"\" alt=\"\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-bf587d1 e-flex e-con-boxed e-con e-parent\" data-id=\"bf587d1\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-f742657 elementor-widget elementor-widget-text-editor\" data-id=\"f742657\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Source: <a href=\"https:\/\/cointelegraph.com\/news\/ai-real-world-assets-prominence-investor-discussions\">cointelegraph<\/a><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-acad91c e-flex e-con-boxed e-con e-parent\" data-id=\"acad91c\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-5c258a0 elementor-widget elementor-widget-heading\" data-id=\"5c258a0\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h1 class=\"elementor-heading-title elementor-size-default\">Shortcomings of AI in financial forecasts<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-2d2548a e-flex e-con-boxed e-con e-parent\" data-id=\"2d2548a\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-c18b763 elementor-widget elementor-widget-text-editor\" data-id=\"c18b763\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>While AI is making significant advances in economic analysis and forecasting, there are still serious limitations affecting its effectiveness \u2013 especially when it comes to preventing financial crises.<\/p><p>The biggest challenge for AI lies in the very nature of financial markets \u2013 they are driven not only by data, but also by human behavior, political decisions, geopolitical shocks, and other unpredictable events. These factors often elude the regularities that AI models look for in historical data, making it difficult for them to accurately predict crises. <\/p><p><strong>The quality and availability of data<\/strong> is another key concern. AI depends on accurate, complete, and up-to-date data. However, data often comes with delays, can be incomplete or unreliable, and in rare events (such as financial crises), historical patterns are limited. This can lead to incorrect predictions and \u2013 paradoxically \u2013 further destabilize the system that AI is trying to protect.   <\/p><p><strong>The transparency of the model<\/strong> is also a challenge. Many advanced AI systems, especially those based on deep learning, function as so-called &#8220;black boxes&#8221; \u2013 they provide results, but do not offer a clear explanation of how they came to them. In finance, where trust and regulatory transparency are crucial, this lack of transparency makes it difficult to adopt AI models. That is why more and more is being invested in the development of &#8220;explainable artificial intelligence&#8221;. One example of such attempts is LIME (Local Interpretable Model-Agnostic Explanations), a technique that allows complex models to be interpreted locally using simpler, understandable substitutions.     <\/p><p>Finally, <strong>ethical and regulatory issues<\/strong> must not be overlooked. AI systems can inadvertently convey or even amplify biases contained in the data they are trained on, which can lead to unfair or discriminatory decisions. In addition, legislative frameworks have a hard time keeping up with the pace of innovation, leaving gaps in regulation that can become a source of new risks.  <\/p><p>Philosopher and AI theorist Eliezer Yudkowsky once said, <em>&#8220;The greatest danger of AI is not that we don&#8217;t understand it \u2013 it&#8217;s that we think we understand it too soon.&#8221;<\/em> In the world of finance, this statement carries special weight.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-2883cf8 e-flex e-con-boxed e-con e-parent\" data-id=\"2883cf8\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-30c40db elementor-widget elementor-widget-image\" data-id=\"30c40db\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/s3.cointelegraph.com\/uploads\/2024-10\/019263fa-ee34-7155-b742-484b12bd511e\" title=\"\" alt=\"\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-41280da e-flex e-con-boxed e-con e-parent\" data-id=\"41280da\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-ec39125 elementor-widget elementor-widget-text-editor\" data-id=\"ec39125\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Source: <a href=\"https:\/\/cointelegraph.com\/news\/g7-competition-authorities-may-take-action-ai-markets\">cointelegraph<\/a><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-8284165 e-flex e-con-boxed e-con e-parent\" data-id=\"8284165\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-f7362f3 elementor-widget elementor-widget-heading\" data-id=\"f7362f3\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h1 class=\"elementor-heading-title elementor-size-default\">So can AI prevent a financial crisis?<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-f340270 e-flex e-con-boxed e-con e-parent\" data-id=\"f340270\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-2838385 elementor-widget elementor-widget-text-editor\" data-id=\"2838385\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>In conclusion, AI \u2013 despite all its achievements \u2013 is still not able to completely prevent financial crises. It is true that AI systems have made significant progress in detecting early warning signs and assessing risks, but they are not infallible. In some cases, they can even exacerbate systemic risks \u2013 for example, AI-based algorithmic trading can cause increased volatility if not adequately regulated.  <\/p><p>In addition, the quality of predictions always depends on the quality of the data on which the models are trained. If this data is biased, incomplete, or inaccurate, the conclusions drawn by AI can also be wrong. So while AI can help mitigate certain aspects of financial instability, it is not a magic solution that can prevent the next crisis on its own.  <\/p><p>But there are reasons for optimism. More and more investments are being made in the development of more advanced AI tools intended for the economy. Projects such as <strong>AI Economist<\/strong> use reinforcement learning to design economic policies that encourage efficiency and fairness at the same time. At the same time, central banks and financial regulators are increasingly exploring AI technologies to improve stress testing and risk assessment systems.   <\/p><p>These initiatives have a common goal \u2013 to build a more resilient financial system, which can not only spot the signs of a crisis in a timely manner, but also respond effectively before it gets out of control. AI is not a substitute for human judgment, but a powerful ally that \u2013 if used responsibly \u2013 can play a key role in preserving global financial stability. <\/p><p>We hope you have learned something new and useful in today&#8217;s blog. If you have any questions or suggestions, you can always contact us on our social networks (<a href=\"https:\/\/x.com\/Kriptomat_Cash\">Twitter<\/a>, <a href=\"https:\/\/www.instagram.com\/kriptomat.hr\/\">Instagram<\/a>). <\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>The importance of AI Artificial intelligence (AI) today plays a key role in preventing crises in various sectors. In traffic, it enables autonomous vehicles that analyze sensor data in real time to avoid collisions and ensure the safety of passengers. Even in customer support, AI chatbots are increasingly outperforming humans in recognizing frustration and calming [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":11341,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[48,50],"tags":[],"class_list":["post-8035","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-dive-deeper","category-general"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Can AI prevent the next financial crisis? - Kriptomat<\/title>\n<meta name=\"description\" content=\"Can AI predict and prevent the next financial crisis \u2013 the potential and limitations of AI in the world of economics.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/kriptomat.hr\/en\/can-ai-prevent-the-next-financial-crisis\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Can AI prevent the next financial crisis? 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