The relentless focus on improving test scores through drills and worksheets has backfired. It has demoralized teachers, made students hate subjects like reading and math, and ultimately led to stagnant or declining performance. The cure has become the disease.

Unlike sports, where 80% proficiency is unacceptable, the US education system allows students to advance with a 'B'. This creates foundational weaknesses that compound over time, making higher-level concepts nearly impossible to grasp.

Joe Liemandt reveals that students from elite private schools, despite having A's, are often years behind grade level when objectively assessed. This systemic grade inflation misleads parents and makes it nearly impossible for these institutions to adopt transparent AI tutors that would expose these deficiencies.

A key driver of Mississippi's praised reading scores was a policy preventing low-performing third graders from advancing. This effectively removed the bottom 10% from the fourth-grade test pool, artificially inflating the state's average scores and masking true progress.

Schooling has become a victim of Goodhart's Law. When a measure (grades, test scores) becomes a target, it ceases to be a good measure. Students become experts at 'doing school' — maximizing the signal — which is a separate skill from the actual creative and intellectual capabilities the system is supposed to foster.

Despite average test scores on a consistent exam dropping by 10 points over 20 years, 60% of all grades at Harvard are now A's, up from 25%. This trend suggests a significant devaluation of academic credentials, where grades no longer accurately reflect student mastery.

Contrary to the belief that lenient grading reduces stress, grade inflation creates a compressed system where nearly all top grades are identical. This forces students into a frantic search for other ways to distinguish themselves and makes receiving a slightly lower grade, like a B+, a catastrophic 'scarlet letter'.

AI makes cheating easier, undermining grades as a motivator. More importantly, it enables continuous, nuanced assessment that renders one-off standardized tests obsolete. This forces a necessary shift from a grade-driven to a learning-driven education system.

Generative AI's appeal highlights a systemic issue in education. When grades—impacting financial aid and job prospects—are tied solely to finished products, students rationally use tools that shortcut the learning process to achieve the desired outcome under immense pressure from other life stressors.