How to Build a Custom AI Tutor to Automate B2B Employee Training
The Economics of Generative AI: Solving the 2 Sigma Problem To understand the systemic value of generative AI in human capital development, one must examine the baseline of educational psychology. In 1984, educational psychologist Benjamin Bloom introduced the "Two Sigma Problem." Bloom’s empirical research demonstrated that students who received one-on-one, customized tutoring performed two standard deviations (two sigmas) higher than those in conventional classroom settings, effectively placing them in the 98th percentile. While the data unequivocally validated the superiority of hyper-personalized tutoring, scaling this model was historically an economic and logistical impossibility. Human resources are finite, and expert bandwidth is constrained. Consequently, optimized learning remained an exclusive asset. The advent of advanced LLMs fundamentally disrupts this historical limitation. Generative AI democratizes the mechanism of 1:1 customized tutoring, reducing the margin...