Artificial intelligence: cognitive challenges

Authors

  • Marta Corretger de la Calzada Co-fundadora iaedu.es, Consultora Ed-Tech
  • Eugenia Gargallo Co-fundadora iaedu.es, Learning Lead en Innov8rs.co, Consultora de Learning & Development

DOI:

https://doi.org/10.32093/ambits.vi.63.504988

Keywords:

Artificial intelligence, cognitive delegation, critical thinking, metacognition, Strategic use of AI

Abstract

IArtificial Intelligence (AI) is reshaping how we think, learn, and act. This article explores the cognitive risks linked to overreliance on AI systems, especially in educational and personal development settings. The central concept is cognitive delegation — outsourcing mental processes like analysis, writing, or decision-making. While AI can boost efficiency, it may also weaken higher-order cognitive skills such as critical thinking, creativity, and autonomous judgment. Many students now use AI to complete assignments without truly engaging with the content, hindering their intellectual development. But it doesn’t stop at school — adults, too, risk cognitive atrophy when technological shortcuts routinely replace mental effort. 

To counter this, the article proposes a mindset of conscious resistance to AI’s “temptation zone” — the ease and speed that can lure us into passivity. It introduces a practical tool: the 5 Human Mode Switches (Agency, Focus, Discernment, Cognitive Sustainability, and Identity), a 60-second ritual to pause and use AI with intentionality. Rather than rejecting technology, the article encourages a strategic use of AI — guided by purpose, context, and reflection. The question is not whether to use AI, but how, when, and why. The goal is to preserve human thinking as the driving force behind learning, growth, and meaningful action.

References

Arthur, W., Jr., Bennett, W., Jr., Stanush, P. L., & McNelly, T. L. (1998). Factors that influence skill decay and retention: A quantitative review and analysis. Human Performance, 11(1), 57–101. https://doi.org/10.1207/s15327043hup1101_3

Baumeister, R. F., Bratslavsky, E., Muraven, M., & Tice, D. M. (1998). Ego depletion: Is the active self a limited resource? Journal of Personality and Social Psychology, 74(5), 1252–1265. https://doi.org/10.1037/0022-3514.74.5.1252

Dahmani, L., & Bohbot, V. D. (2020). Habitual use of GPS negatively impacts spatial memory during self-guided navigation. Scientific Reports, 10(1), 6310. https://doi.org/10.1038/s41598-020-62877-0

Flavell, J. H. (1979). Metacognition and cognitive monitoring: A new area of cognitive-developmental inquiry. American Psychologist, 34(10), 906–911. https://doi.org/10.1037/0003-066X.34.10.906

Gerlich, M. (2025). The human factor of AI: Implications for critical thinking and societal anxieties. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.5085897

Gerlich, M. (2025). AI tools in society: Impacts on cognitive offloading and the future of critical thinking. Societies, 15(1), Article 6. https://doi.org/10.3390/soc15010006

Gibbins, G. (2025). Critical intelligence: Strengthening human thinking in the age of AI. Human Machines Press.

Mallillin, L. L. D. (2024). Artificial intelligence (AI) towards students’ academic performance. Innovare Journal of Education, 12(3), 18–24. HYPERLINK “https://journals.innovareacademics.in/index.php/ijoe/article/view/51665/30261?utm_ source=chatgpt.com” HYPERLINK“https://journals.innovareacademics.in/index.php/ijoe/article/view/51665/30261?utm_ source=chatgpt.com https://journals.innovareacademics.in/index.php/ijoe/article/view/51665/30261

Ramos Portero, J. M., & Cevallos Teneda, A. C. (2025). Inteligencia artificial en la detección del cáncer de pulmón. LATAM Revista Latinoamericana de Ciencias Sociales y Humanidades, 6(1), 31–42. https://doi.org/10.56712/latam.v6i1.3309

Soler Riera, D. (2024). Les IA als instituts: Oportunitats i desafiaments en l’educació secundària [TFM, Universitat Politècnica de Catalunya]. UPCommons. https://upcommons.upc.edu/handle/2117/411179

Sparrow, B., Liu, J., & Wegner, D. M. (2011). Google effects on memory: Cognitive consequences of having information at our fingertips. Science, 333(6043), 776–778. https://doi.org/10.1126/science.1207745

Tapalova, O., & Zhiyenbayeva, N. (2022). Artificial intelligence in education: AIEd for personalised learning pathways. Electronic Journal of e-Learning, 20(5), 639–653. HYPERLINK “https://doi.org/10.34190/ ejel.20.5.2597?utm_source=chatgpt.com” HYPERLINK “https://doi.org/10.34190/ejel.20.5.2597?utm_ source=chatgpt.com https://doi.org/10.34190/ejel.20.5.2597

Van Dillen, L. F., Papies, E. K., & Hofmann, W. (2013). Turning a blind eye to temptation: How cognitive load can facilitate self-regulation. Journal of Personality and Social Psychology, 104(3), 427–443. https://doi. org/10.1037/a0031262

Zhai, X., Chu, X., Chai, C. S., Jong, M. S. Y., Istenic, A., Spector, M., Liu, J., & Li, Y. (2021). A review of artificial intelligence (AI) in education from 2010 to 2020. Complexity, 2021, Article 8812542. https://doi.org/10.1155/2021/8812542

Jakesch, M., Hancock, J. T., & Naaman, M. (2022). Human heuristics for AI-generated language are flawed. Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. ACM. https://doi.org/10.1073/pnas.2208839120

Published

2026-03-31

Issue

Section

Educational Psychology and Counselling