The Spanish-speaking course-creator economy is undergoing a structural shift driven by the maturation of generative artificial intelligence. The prevailing narrative across creator-marketing channels frames AI integration as primarily a technical challenge, urging creators to "learn AI" through prompting courses, certifications, or self-service platforms. This paper examines whether that framing holds up under empirical scrutiny. Drawing on peer-reviewed evidence from psychological reactance theory (Brehm, 1966; Rains, 2013; Steindl et al., 2015; Guo, 2024), AI anxiety research (Wang Logg et al., 2019), and the canonical technology-acceptance literature (Davis, 1989; Compeau Venkatesh et al., 2012), the analysis finds that the dominant adoption barrier is psychological rather than technical. Persuasive pressure to adopt activates reactance and amplifies rejection; AI learning anxiety and low computer self-efficacy independently predict avoidance; and cognitive load theory (Sweller, 1994) explains why high-element-interactivity learning paths are statistically improbable to complete, given that massive open online course completion rates have stabilized near 3.13% (Reich & Ruipérez-Valiente, 2019). Regional data from ECLAC and the Stanford AI Index situate Latin America as a high-consumption, low-integration AI market. The paper proposes a done-for-you implementation model — operationalized as the CursoVivo framework — that externalizes cognitive load, neutralizes reactance, and minimizes perceived effort, aligning with mass-adoption patterns observed in prior infrastructure technologies.
Humberto Inciarte (2026) studied this question.