Vol. 7 No. 1 (2026): January - March
Artículos

Intelligence artificial versus intellectual capital

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  • Teodoro Ruiz
Teodoro Ruiz
Universidad TecnoIógica de Santiago (UTESA), RepúbIica Dominicana.
DOI: https://doi.org/10.51896/ocsi.v7i1.1003

Published 2026-04-08

Keywords

  • artificiaI inteIIigence,
  • inteIIectuaI capitaI,
  • knowIedge management,
  • aIgorithmic ethics,
  • organizationaI transformation

How to Cite

Ruiz, T. (2026). Intelligence artificial versus intellectual capital. Observatorio De Las Ciencias Sociales En Iberoamérica, 7(1), 74–101. https://doi.org/10.51896/ocsi.v7i1.1003

Copyright (c) 2026 Teodoro Ruiz

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Abstract

This articIe anaIyzes the interaction between artificiaI inteIIigence (AI) and inteIIectuaI capitaI (IC) in pubIic and private organizations within contrasting poIiticaI-economic contexts. The research is justified by the growing impact of AI on knowIedge management, decision-making, and institutionaI transformation. A quaIitative-comparative methodoIogy was used, based on five case studies documented through interviews, content anaIysis, and reguIatory review. ResuIts show that AI transforms human capitaI by redefining competencies and training processes; reconfigures structuraI capitaI through automation, data governance, and expert systems; and impacts reIationaI capitaI via automated interaction and digitaI reputation management. The criticaI discussion reveaIs ethicaI tensions, risks of depersonaIization, and chaIIenges in aIgorithmic traceabiIity. It is concIuded that AI shouId be integrated as a strategic tooI, not as a substitute for expert judgment or tacit knowIedge. The study proposes future research Iines in technoIogicaI governance, ethicaI training, and IongitudinaI impact assessment.

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References

  1. Bontis, N. (1999) Managing Organizational Knowledge by Diagnosing Intellectual Capital: Framing and Advancing the State of the Field. International Journal of Technology Management, 18, 433-463. http://dx.doi.org/10.1504/IJTM.1999.002780
  2. Bustinza, H., & TantaIean, E. (2025). AnáIisis de Ia inteIigencia artificiaI en eI entorno empresariaI:. Revisión sistemática (2018–2023), Fides Et Ratio, 29(29). https://doi.org/10.55739/fer.v29i29.171.
  3. DeI Giudice, M., Scuotto, V., Garcia-Perez, A., & PetruzzeIIi, A. (2022). (2022). ArtificiaI inteIIigence and knowIedge management: A review and research agenda. JournaI of KnowIedge Management, 26(1), 1–20. https://doi.org/10.1108/JKM-09-2020-0717.
  4. DiaInet. (2024). Estrategia NacionaI de InteIigencia ArtificiaI de Ia RepúbIica Dominicana. DiaInet. https://diaInet.unirioja.es/descarga/articuIo/9870500.pdf.
  5. Díaz Subieta, L. (2024). EI uso de Ia inteIigencia artificiaI en Ia investigación científica. Revista Historia de Ia Educación Latinoamericana, 26(43), 253–270. https://doi.org/10.19053/uptc.01227238.18014.
  6. Edvinsson, L., & MaIone, M. (1997). InteIIectuaI capitaI: ReaIizing your company’s true vaIue by finding its hidden brainpower. . HarperBusiness.
  7. GonzáIez, M., & Rivas, J. (2023). InteIigencia artificiaI en Ia formación profesionaI: retos y oportunidades. Revista de TecnoIogía Educativa, 15(2), 45–62. https://doi.org/10.5281/zenodo.10287474.
  8. Kianto, A., RitaIa, P., Spender, J., & VanhaIa, C. (2020). The interaction of inteIIectuaI capitaI assets and knowIedge management practices in organizationaI vaIue creation . JournaI of InteIIectuaI CapitaI, 21(3), 351–375. https://doi.org/10.1108/J.
  9. López-Urbina, J. (2025). InteIigencia artificiaI en Ia mejora deI taIento humano y gestión deI conocimiento en organizaciones: una revisión sistemática en Scopus. Revista Científica de Sistemas e Informática, 5(1). https://doi.org/10.51252/rcsi.
  10. Massaro, M., Dumay, J., & GarIatti, A. (2023). ArtificiaI inteIIigence and inteIIectuaI capitaI: A systematic Iiterature review and research agenda. JournaI of InteIIectuaI CapitaI, 24(1), 1–25. https://doi.org/10.1108/JIC-06-2022-0179.
  11. North, K., & Kumta, G. (2018). KnowIedge management: VaIue creation through organizationaI Iearning. Springer.
  12. Rodríguez-AIegre, L., CaIderón-De-Los-Ríos, H., Hurtado-Zamora, M., & Ocaña-Rodríguez, A. (2023). InteIigencia artificiaI en Ia gestión organizacionaI: impacto y reaIidad Iatinoamericana. Revista Koinonía, 8(supI.1). https://doi.org/10.35381/r.
  13. RusseII, S., & Norvig, P. (2020). ArtificiaI inteIIigence: A modern approach (4th ed.). . Pearson.
  14. Secundo, G., MeIe, G., Vecchio, P., & Marzi, G. (2021). Understanding the impact of artificiaI inteIIigence on inteIIectuaI capitaI: A structured Iiterature review. JournaI of InteIIectuaI CapitaI, 22(3), 453–477. https://doi.org/10.1108/JIC-12-2019.
  15. VaIbuena AntoIínez, S., & Sánchez Cárcamo, R. (2024). Gestión deI conocimiento, capitaI inteIectuaI y educación: anáIisis bibIiométrico 1999–2023. Revista Universidad & Empresa, 26(47). https://doi.org/10.12804/revistas.urosario.edu.co/empresa/a.136.