The transformative power of AI: projected impacts on the global economy by 2030
DOI:
https://doi.org/10.37497/rev.artif.intell.educ.v4i00.20Palavras-chave:
Artificial Intelligence (AI), Global Economy, Machine Learning, Computer Vision, Gross Domestic Product (GDP)Resumo
Objective: The primary focus of this document is to delve into the role and influence of Artificial Intelligence (AI) on the global economy. The study aims to elucidate the potential economic ramifications, both positive and negative, that AI technologies might bring.
Conclusions: Preliminary insights suggest that artificial intelligence has the potential to significantly boost the global economy. For instance, AI could potentially add up to 16%, approximately $13 trillion, to the global economy by 2030. Furthermore, AI's influence could elevate the global GDP by up to 26%. It is also highlighted that in the upcoming years, at least 70% of companies worldwide will integrate AI in some form or another.
Practical Implications: The rapid adoption of AI technologies will undeniably have profound implications on businesses and economies. Companies that leverage AI stand to gain competitive advantages in their respective domains. Additionally, as more businesses adopt AI, there will be a heightened demand for AI expertise, potentially leading to job creation in specific sectors while possibly leading to job redundancies in others.
Referências
Adalet McGowan, M., & Andrews, D. (2015, April 28). Labor market mismatch and labor productivity: Evidence from PIAAC data. OECD.
Buitrago, J., & Asfour, S. (2017). Short-term forecasting of electric loads using nonlinear autoregressive artificial neural networks with exogenous vector inputs. Energies, 10(1). DOI: https://doi.org/10.3390/en10010040
Goyal, I. (2023). AI Renaissance, artificial intelligence, information overload, human-computer interaction, decision-making. Review of Artificial Intelligence in Education, 4(00), e012. https://doi.org/10.37497/rev.artif.intell.educ.v4i00.12 DOI: https://doi.org/10.37497/rev.artif.intell.educ.v4i00.12
Gowda, K. R. (2023). Artificial Intelligence in the Modern Economy: Transformations, Applications, and Future Prospects. Review of Artificial Intelligence in Education, 4(00), e08. https://doi.org/10.37497/rev.artif.intell.educ.v4i00.8 DOI: https://doi.org/10.37497/rev.artif.intell.educ.v4i00.8
Kaur, G., Gujrati, R., & Uygun, H. (2023). How does AI fit into the Management of Human Resources?. Review of Artificial Intelligence in Education, 4(00), e04. https://doi.org/10.37497/rev.artif.intell.education.v4i00.4 DOI: https://doi.org/10.37497/rev.artif.intell.education.v4i00.4
Lampou, R. (2023). The Integration of Artificial Intelligence in Education: Opportunities and Challenges. Review of Artificial Intelligence in Education, 4(00), e015. https://doi.org/10.37497/rev.artif.intell.educ.v4i00.15 DOI: https://doi.org/10.37497/rev.artif.intell.educ.v4i00.15
Iyer, V. (2023). Revolutionizing Recruitment: The Synergy of Artificial Intelligence and Human Resources. Review of Artificial Intelligence in Education, 4(00), e013. https://doi.org/10.37497/rev.artif.intell.educ.v4i00.13 DOI: https://doi.org/10.37497/rev.artif.intell.educ.v4i00.13
McKinsey & Company. (2017, April). Smartening up with artificial intelligence (AI): What’s in it for Germany and its industrial sector?
McKinsey Global Institute. (2016, December). The age of analytics: Competing in a data-driven world.
McKinsey Global Institute. (2015, December). Digital America: A tale of the haves and havemores.
Patel, H. M. (2023). The Transformative Role of Artificial Intelligence in Modern Agriculture. Review of Artificial Intelligence in Education, 4(00), e014. https://doi.org/10.37497/rev.artif.intell.educ.v4i00.14 DOI: https://doi.org/10.37497/rev.artif.intell.educ.v4i00.14
Silva, A. de O., & Janes, D. dos S. (2023). Challenges And Opportunities of Artificial Intelligence in Education in A Global Context. Review of Artificial Intelligence in Education, 4(00), e01. https://doi.org/10.37497/rev.artif.intell.education.v4i00.1 DOI: https://doi.org/10.37497/rev.artif.intell.education.v4i00.1
Silva, R., Noronha, M., & Ferraro, D. M. J. (2023). Determinants of Edtech Success: An Empirical Analysis of Dynamic Capabilities and Key Facilitators. Review of Artificial Intelligence in Education, 4(00), e016. https://doi.org/10.37497/rev.artif.intell.educ.v4i00.16 DOI: https://doi.org/10.37497/rev.artif.intell.educ.v4i00.16
Silva, A. de O., & Janes, D. dos S. (2020). Exploring the Role of Artificial Intelligence in Education: A Comprehensive Perspective. Review of Artificial Intelligence in Education, 1(00), e05. https://doi.org/10.37497/rev.artif.intell.education.v1i00.5 DOI: https://doi.org/10.37497/rev.artif.intell.education.v1i00.5
Silva, A. de O., & Janes, D. dos S. (2021). The Emergence of ChatGPT and its Implications for Education and Academic Research in the 21st Century. Review of Artificial Intelligence in Education, 2(00), e06. https://doi.org/10.37497/rev.artif.intell.education.v2i00.6 DOI: https://doi.org/10.37497/rev.artif.intell.education.v2i00.6
Tambuskar, S. (2022). Challenges and Benefits of 7 ways Artificial Intelligence in Education Sector. Review of Artificial Intelligence in Education, 3(00), e03. https://doi.org/10.37497/rev.artif.intell.education.v3i00.3 DOI: https://doi.org/10.37497/rev.artif.intell.education.v3i00.3
Zhang, C. (2022). Current Status and Outlook of Higher Education Digital Transformation in China. Review of Artificial Intelligence in Education, 3(00), e02. https://doi.org/10.37497/rev.artif.intell.education.v3i00.2 DOI: https://doi.org/10.37497/rev.artif.intell.education.v3i00.2
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