Rentabilidad en la era sintética:

Abstract

Who should a piece of content convince today?  The human audience, or the language model that decides whether humans even see it? What separates a brand that survives the saturation of synthetic content from one that dissolves into it? The questions are not rhetorical. Every technology that cheapened content production -the printing press, radio, the internet- triggered the same sequence: abundance, saturation, and a new scarcity, this time of trust. Generative artificial intelligence repeats the pattern at unprecedented scale. Pophal (2026)calls the result "AI Slop," and in doing so names a deeper shift; The axis of competitiveness in digital marketing is moving from production to recognition. Producing content is no longer enough; organizations must hold epistemic authority before generative AI systems, not only before the human consumer. This article proposes the Hybrid SynergIA Model(HSM), a three-dimensional framework -human, AI-analytical, and ethical-contextual- derived from a systematic integrative synthesis of 16 empirical studies (2025-2026), with validated inter-rater coding(Cohen's κ = 0.87). The results show that coordinated interaction among the HSM's three dimensions generates multiplicative effects on organizational profitability, distinct from those produced by AI operating alone: there, short-term gains in volume coexist with eroding trust and rising brand abandonment. AI technology is already an infrastructure commodity; sustainable competitive advantage now resides in the deliberate governance of its integration with human judgment. The HSM positions Generative Engine Optimization (GEO)as its strategic frontier dimension, in line with Service-Dominant Logic (Vargo & Lusch, 2004, 2008) and Dynamic Capabilities theory (Teece et al., 1997).