Multiple outlets argue that cheating in higher education is shaped less by new tools like AI and more by students’ existing behaviors and attitudes. One analysis notes that some students may enter college already having established cheating routines and a mindset that makes cheating feel acceptable. The discussion also connects cheating behavior to broader conditions that can influence academic integrity over time, including how easy cheating can be, changes in social or institutional expectations, and perceived competitive pressure among students. Rather than framing cheating solely as a recent technological problem, the sources emphasize that patterns may reflect long-running habits and justifications that predate AI adoption. The overall picture presented is that increases in cheating may come from a combination of individual norms and wider academic pressures, and that interventions aimed only at specific technologies could miss underlying motivations. Both perspectives therefore suggest focusing on how students learn to rationalize misconduct and what drives them to do so.