The Role of AI in Predictive Economic Forecasting

The governments, financial institutions and businesses value predictive economic forecasting especially in order to make sound choices and decisions concerning the future. AI has taken a giant step in the area in the recent years. Prospects of the analysis of the big data, identifying the advanced patterns and even prediction, made in a real-time using the AI, have transformed the traditional methods of economic forecasts. Predicting economic variables such as the inflation rates, economic growth, rates of unemployment and changes in stock markets using economic forecasting with machine learning algorithms, AI models will be the topic of interest by the authors in the paper. It also examines the opportunities and the gaps of the AI in the prediction in economic analysis. Assessing the state of AI in having to handle such large amount of economic data points and the fact that it has assisted in obtaining improved shot forecasts than that of the traditional statistical model, this paper indicates how AI can change the effectiveness of economic forecasting. However, the paper has also stated the obstacles linked to it which are that the quality of data is very important, the transparency of the algorithm and ethical issues of AI regarding decision-making. This paper is going to provide the description of the role of the AI in the predictive economic forecasting and the actual and possible additional applications of the AI in the reconsideration of the economic forecasting.

Authors

Publication Details

Journal
International Journal of Integrated Research and Practice
Published
2025-01-01
DOI
https://doi.org/10.25215/31075037.019
Primary Topic
Stock Market Forecasting Methods
Type
article
Field-Weighted Citation Impact
0.00
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article

The Role of AI in Predictive Economic Forecasting

Vinaya Rao
International Journal of Integrated Research and Practice
Stock Market Forecasting Methods
article

The Role of AI in Predictive Economic Forecasting

Vinaya Rao
article en

Abstract

The governments, financial institutions and businesses value predictive economic forecasting especially in order to make sound choices and decisions concerning the future. AI has taken a giant step in the area in the recent years. Prospects of the analysis of the big data, identifying the advanced patterns and even prediction, made in a real-time using the AI, have transformed the traditional methods of economic forecasts. Predicting economic variables such as the inflation rates, economic growth, rates of unemployment and changes in stock markets using economic forecasting with machine learning algorithms, AI models will be the topic of interest by the authors in the paper. It also examines the opportunities and the gaps of the AI in the prediction in economic analysis. Assessing the state of AI in having to handle such large amount of economic data points and the fact that it has assisted in obtaining improved shot forecasts than that of the traditional statistical model, this paper indicates how AI can change the effectiveness of economic forecasting. However, the paper has also stated the obstacles linked to it which are that the quality of data is very important, the transparency of the algorithm and ethical issues of AI regarding decision-making. This paper is going to provide the description of the role of the AI in the predictive economic forecasting and the actual and possible additional applications of the AI in the reconsideration of the economic forecasting.

International Journal of Integrated Research and Practice
Openalex Percentile: Top 76%
Stock Market Forecasting Methods
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The Role of AI in Predictive Economic Forecasting — Vinaya Rao · International Journal of Integrated Research and Practice (2025) | TGRS Research Map | TGRS