The Role of Artificial Intelligence in Productive Transformation and Economic Diversification: Angola and Brazil
DOI:
https://doi.org/10.37293/sapientiae112.07Keywords:
Artificial intelligence, Productive transformation, Economic diversification, Emerging economiesAbstract
This study analyzes the growing presence of Artificial Intelligence in productive structures and how it has altered the course of economic development, especially in emerging countries. The article investigates the strategic role of AI in the productive transformation and economic diversification of Angola and Brazil, highlighting how these technologies can increase productivity, stimulate innovation, and strengthen industrial resilience. Using a comparative approach, we examine public policies, technological infrastructures, investments, and human capabilities related to the adoption of AI, which emerges as an opportunity, offering new, more efficient and inclusive forms of production. In Angola, the use of AI still faces structural challenges, such as a lack of data and adequate digital infrastructure. In Brazil, although there are notable advances in areas such as agriculture and health, there are difficulties in the full integration of AI with existing industrial policies. This study focused on a theoretical analysis of economic diversification and productive transformation, with a focus on the contexts of Angola and Brazil. It is a descriptive, theoretical study based on a literature review, with a qualitative approach. The results indicate that AI can be an important driver of economic transformation, provided it is accompanied by investments in technological education, public policies that encourage innovation, and international collaborations. It concludes that institutional strengthening and digital governance are fundamental for Angola and Brazil to fully benefit from these advancements.
References
Agência Nacional de Telecomunicações. (2022). Indicadores de acesso à internet no Brasil. Anatel. https://www.gov.br/anatel.
Agência Nacional de Telecomunicações. (2022). Relatório de conectividade e inclusão digital no Brasil. Anatel.
Banco Mundial. (2022). Digital development overview: Leveraging digital technologies for inclusive growth. World Bank.
Ben-Ishai, L., G., Dean, J., Manyika, J., Porat, R., Varian, H., e Walker, K. (2024). Artificial intelligence and economic development in emerging economies. arXiv. https://arxiv.org/abs/2401.09718
Brynjolfsson, E., & McAfee, A. (2014). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. W. W. Norton & Company.
Colaço, F. (2024, 3 de abril). Inteligência Artificial enquanto catalisador do desempenho das empresas e do mercado nacional. EY Angola. https://www.ey.com/pt_ao/insights/consulting/inteligencia-artificial-enquanto-catalisador-do-desempenho-das-empresas-e-do-mercado-nacional
Fórum Económico Mundial. (2023). Global technology governance report. World Economic Forum.
Freeman, C. (1987). Technology policy and economic performance: Lessons from Japan. Pinter.
Furman, J., & Seamans, R. (2019). AI and the economy. Innovation Policy and the Economy, 19(1), 161–191. https://www.journals.uchicago.edu/doi/10.1086/699936
Geto, D. (2025, 15 de julho). Angola aposta na consolidação de uma economia digital robusta. Menos Fios. https://www.menosfios.com/angola-aposta-na-consolidacao-de-uma-economia-digital-robusta/
Governo de Angola. (2020). Plano de Desenvolvimento Nacional 2018–2022. Ministério da Economia e Planeamento.
Governo de Angola. (2020). Plano Nacional de Desenvolvimento de Angola (PND) 2020–2025. Luanda: Governo de Angola.
Governo de Angola. (2021). Estratégia Nacional de Ciência, Tecnologia e Inovação (ENCTI). Ministério do Ensino Superior, Ciência, Tecnologia e Inovação.
Governo de Angola. (2024, 9 de dezembro). Governo quer presença da Embrapa em Angola. Governo de Angola. https://governo.gov.ao/noticias/2104/politica/para-apoiar-projectos-agricolas/governo-quer-presenca-da-embrapa-em-angola
INE Angola. (2023). Relatório de indicadores de acesso à internet em Angola. Instituto Nacional de Estatística. https://www.ine.gov.ao
Instituto Brasileiro de Geografia e Estatística. (2022). Pesquisa Nacional por Amostra de Domicílios Contínua: Tecnologia da informação e comunicação 2021. IBGE.
Instituto Nacional de Estatística. (2023). Indicadores sociais e tecnológicos de Angola. INE.
International Telecommunication Union, ITU. (2022). Artificial intelligence and digital transformation. ITU. https://www.itu.int
InvestSP. (s.d.). Parques tecnológicos. https://investsp.org.br/
InvestSP. (s.d.). Sistema Paulista de Parques Tecnológicos (SPTec). Agência Paulista de Promoção de Investimentos.
Juma, C. (2011). The new harvest: Agricultural innovation in Africa. Oxford University Press.
Lall, S. (1992). Technological capabilities and industrialization. World Development, 20(2), 165–186. https://www.sciencedirect.com/science/article/pii/0305750X9290097F
Lundvall, B. Å. (1992). National Systems of Innovation: Towards a Theory of Innovation and Interactive Learning. London: Pinter.
Marques, J. (2023, 23 de agosto). Inteligência Artificial: Um catalisador para a diversificação e desenvolvimento econômico de Angola. https://club-k.net/index.php?Itemid=1067&catid=17&id=51557%3Ainteligencia-artificial-um-catalisador-para-a-diversificacao-e-desenvolvimento-economico-de-angola&lang=pt&option=com_content&view=article
Ministério da Ciência, Tecnologia e Inovações. (2021). Estratégia Brasileira de Inteligência Artificial – EBIA. https://www.gov.br/mcti/pt-br/centrais-de-conteudo/publicacoes-mcti/folders-e-cartilhas/consulta-publica-estrategia-brasileira-de-inteligencia-artificial/consulta-publica-estrategia-brasileira-de-inteligencia-artificial.pdf/view.
Ministério da Educação. (2023). Panorama dos cursos de graduação e pós-graduação em ciência de dados e inteligência artificial no Brasil. MEC.
Mkandawire, T. (2001). Thinking about developmental states in Africa. Cambridge Journal of Economics, 25(3), 289–314. https://academic.oup.com/cje/article-abstract/25/3/289/1729863?redirectedFrom=fulltext&login=false.
Ndemo, B. (2020). Digital transformation and the future of work in Africa. Palgrave Macmillan.
OCDE. (2019). Artificial Intelligence and the Future of Work. OECD Publishing.
OECD (2023). Artificial Intelligence and the Labour Market. https://www.oecd.org/content/dam/oecd/en/publications/reports/2023/07/oecd-employment-outlook-2023_904bcef3/08785bba-en.pdf
ONU. (2020). Digital Transformation in Angola: Current Challenges and Future Prospects. United Nations.
Organização das Nações Unidas para a Educação, a Ciência e a Cultura. (2021). Artificial intelligence and education in Africa. UNESCO.
Organização para a Cooperação e Desenvolvimento Económico. (2021). Digital economy outlook. OECD Publishing.
Oyebode, O. (2022). Ubuntu-inspired artificial intelligence: A framework for African-centered digital ethics. African Journal of Science, Technology, Innovation and Development, 14(3), 567–579.
Programa das Nações Unidas para o Desenvolvimento (PNUD). (2019, 18 de dezembro). Inteligência Artficial (AI) é uma solução para Angola? PNUD Angola. https://www.undp.org/pt/angola/blog/inteligencia-artficial-ai-e-uma-solucao-para-angola.
República de Angola. (2011). Estratégia Nacional de Ciência, Tecnologia e Inovação. Luanda: FUNDECIT.https://fundecit.ao/upload_media/upload/documentos/Estrategia%20Nacional%20de%20Ciencia%20Tecnologia%20e%20Inovac%CC%A7a%CC%83o_DP196_2011.pdf
República de Angola. (2023). Plano de Desenvolvimento Nacional 2023 2027. Luanda: Conselho de Ministros. Recuperado de https://www.mpla.ao/wp-content/uploads/2023/12/PLANO-DE-DESENVOLVIMENTO-NACIONA-2023-2027.pdf.
Rodrik, D. (2018). Straight Talk on Trade: Ideas for a Sane World Economy. Princeton: Princeton University Press.
Russell, S., & Norvig, P. (2016). Artificial Intelligence: A Modern Approach (3ª ed.). Harlow: Pearson Education.
Schumpeter, J. A. (1934). The Theory of Economic Development. Cambridge, MA: Harvard University Press.
Schwab, K. (2016). The Fourth Industrial Revolution. Geneva: World Economic Forum.
SEBRAE. (2021). Desafios regulatórios da inovação e Inteligência Artificial no Brasil. https://www.sebrae.com.br.
Serviço Brasileiro de Apoio às Micro e Pequenas Empresas. (2021). Inteligência artificial e inovação no Brasil. SEBRAE.
Syrquin, M. (1988). Patterns of structural change. In H. Chenery & T. N. Srinivasan (Eds.), Handbook of development economics (Vol. 1, pp. 203–273). North-Holland.
Tschang, F. T., & Almirall, E. (2021). Artificial intelligence as augmenting automation: Implications for employment. Academy of Management Perspectives, 35(4), 642–659. https://ink.library.smu.edu.sg/lkcsb_research/6669/?utm_source=chatgpt.com
UNCTAD – United Nations Conference on Trade and Development. (2021b). Technology and Innovation Report 2021: Catching Technological Waves. https://unctad.org/.
UNCTAD – United Nations Conference on Trade and Development. (2021a). Technology and innovation report 2021: Catching technological waves. https://unctad.org.
UNESCO. (2021). Education and technology in Africa: A future-oriented review. UNESCO.
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