The proliferation of artificial intelligence (AI) education products marketed to small and medium-sized business (SMB) owners rests on an implicit premise: that knowledge acquisition is the primary bottleneck preventing AI value capture in owner-operated firms. This paper examines that premise against the empirical literature on training transfer, online course completion, and workplace AI deployment. Three convergent bodies of evidence are reviewed: (1) the forty-year transfer-of-training literature documenting that classroom-acquired skills decay to between thirty and fifty percent application within twelve months, with weakest transfer in environments lacking post-training support (Baldwin Blume et al., 2010; Saks (2) the open online course completion record, where the most prestigious platforms — MITx and HarvardX — recorded a 3.13% completion rate across 2017–2018 with no improvement over six years (Reich and (3) controlled workplace evidence demonstrating that AI tool deployment, embedded in workflow, produced productivity gains of 14% on average and 34% for novice workers without requiring formal AI training (Brynjolfsson et al., 2025). The analysis applies the Amabile–Kramer progress principle and Bjork's fluency illusion to argue that course purchase generates a subjective signal of advancement that is dissociated from operational change. The paper proposes the Agentes Para Tu Negocio framework — a done-with-you implementation model rooted in implementation science — as a structurally different intervention category, and identifies the empirical study of such interventions in owner-operated SMBs as a research priority.
Humberto Inciarte (Sun,) studied this question.