The purpose is to study the effect and influence of Chat GPT application in education technology on health sciences post graduates (PGs) task-initiation, applying the “cross-sectional” model through scholars and PG`s. The study observes the connections and relationships, i.e., correlations among the frequency-of Chat GPT interface plus pace of starting Academic-educational errands, using a normalized/systematized uniform (homogenous) scaling to errand induction next to lately built scaling to measure Chat GPT use. Using probability—statistical models bi variate correlation plus analysis-of-variance (ANOVA), such that it will detect patterns (signatures) of errand start amongst `non-users` and `end-users` of diverse versions of Chat GPT. Our findings show that the big depressing/off-putting correlation (=-0.511, p<0.01 statistically not significant) among Chat GPT use plus chore-initiation, signaling that fueled application of Chat GPT might be linked through of-late/delayed issue-start. Remarkably, non-native-users formed the top-bias to induce brief induction (M = 3.215) than Chat GPT end-users. Likewise, variants within chore start activities were studied amongst the end-users-of two versions-of Chat GPT, through the V4version-users showing new helpful errand induction results. Our results feature the nuanced-effect of Chat GPT over Academic-educationalists’ deeds, implying that whilst Chat GPT might function as valued Academic-utility-tools, its use might impact accepted-conventional errand induction behavioral-conducts. These intuitions stress the requirement for the weighed method for making amendments and to incorporate artificial intelligence (AI) utility-tools within the Academic-educational locational-settings, as their latent to vary PGs and research scholars errand behaviors and conducts plus self-control.