The Impact of AI Industry Growth on U.S. AI Sector Stocks: A Machine Learning Analysis

The rapid development of artificial intelligence (AI) since 2020 has significantly impacted the U.S. stock market, necessitating a deeper understanding of its influence on AI-related stocks. This study aims to analyze and predict the returns of the Global X Robotics & Artificial Intelligence ETF (BOTZ) as a proxy for AI industry performance. Employing Random Forest and XGBoost machine learning models, we trained on over a thousand data points to forecast BOTZ ETF returns. Our research reveals that AI-focused stocks and ETFs have outperformed the broader market since 2020, driven by increased AI adoption across industries, substantial research and development investments, and shifting investor sentiment towards tech-centric portfolios. The machine learning models demonstrated promising results in capturing complex market dynamics and providing reliable predictions. This study underscores the potential of integrating machine learning with financial analysis, offering valuable insights for investors and stakeholders in navigating the evolving landscape of AI-influenced markets.

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Publication Details

Journal
Advances in Economics Management and Political Sciences
Published
2024-10-12
DOI
https://doi.org/10.54254/2754-1169/94/2024ox0203
Citations
1
Primary Topic
Impact of AI and Big Data on Business and Society
Type
article
Field-Weighted Citation Impact
0.49
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article

The Impact of AI Industry Growth on U.S. AI Sector Stocks: A Machine Learning Analysis

Jinhui Li
1 citations
Advances in Economics Management and Political Sciences
Impact of AI and Big Data on Business and Society
0.49
article

The Impact of AI Industry Growth on U.S. AI Sector Stocks: A Machine Learning Analysis

Jinhui Li
article en
1 citations

Abstract

The rapid development of artificial intelligence (AI) since 2020 has significantly impacted the U.S. stock market, necessitating a deeper understanding of its influence on AI-related stocks. This study aims to analyze and predict the returns of the Global X Robotics & Artificial Intelligence ETF (BOTZ) as a proxy for AI industry performance. Employing Random Forest and XGBoost machine learning models, we trained on over a thousand data points to forecast BOTZ ETF returns. Our research reveals that AI-focused stocks and ETFs have outperformed the broader market since 2020, driven by increased AI adoption across industries, substantial research and development investments, and shifting investor sentiment towards tech-centric portfolios. The machine learning models demonstrated promising results in capturing complex market dynamics and providing reliable predictions. This study underscores the potential of integrating machine learning with financial analysis, offering valuable insights for investors and stakeholders in navigating the evolving landscape of AI-influenced markets.

Advances in Economics Management and Political SciencesVol. 94(1)
The University of Melbourne (AU)
Industry, innovation and infrastructure
Openalex Percentile: Top 30%
Impact of AI and Big Data on Business and Society
0.49
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The Impact of AI Industry Growth on U.S. AI Sector Stocks: A Machine Learning Analysis — Jinhui Li · Advances in Economics Management and Political Sciences (2024) | TGRS Research Map | TGRS