The modern Sales VP is currently caught in a paradox. Enterprise investment in Artificial Intelligence has reached an all-time high, yet sales productivity remains stagnant or, in some sectors, has actually declined. The culprit is not the technology itself, but a profound misalignment in how sales teams are being prepared to use it. Many organizations have defaulted to “generic” AI training, often designed by technical departments, that treats sales professionals like junior data scientists. This approach is a strategic failure. Sales reps do not need to understand neural network architectures or latent space logic. They need to know how AI can help them identify high-intent prospects, personalize outreach at scale, and reclaim the 70 percent of their week currently lost to administrative “drudge work.” When a corporation initiates an AI upskilling program, the curriculum is typically centralized under the IT or general L&D departments. The result is a curriculum heavy on the “mechanics” of AI. Reps are taught about Large Language Model (LLM) training sets, the history of machine learning, and the technical nuances of tokenization. While this information is intellectually stimulating, it has zero correlation with quota attainment.