The study examines the projected changes in the East Asian eddy-driven jet (EAEJ) during winter in a warming climate using model outputs from the Coupled Model Intercomparison Project phase 5 (CMIP5). The focus is on the magnitude change of synoptic-scale transient eddy activities, measured by eddy kinetic energy (EKE), which is a more significant feature compared to the location displacement in oceanic eddy-driven jets. All CMIP5 models unanimously project an increase in EKE, suggesting that strong winter storm events are likely to occur in East Asia under global warming. The enhancement of EKE is attributed to the growing baroclinicity wave, with upper-level EKE highly correlated to low-level static stability (BVF). The relationship between EKE and BVF is negative, indicating that a more unstable low-level environment will lead to increased EKE. Additionally, the historical state of EKE also influences its future changes. Intermodel variability among CMIP5 models shows a similar but weaker relationship between BVF and EKE, highlighting the large model diversities and independencies. The study emphasizes the importance of accurately simulating midlatitude dynamics in East Asia, as the EAEJ and associated winter storms can cause severe weather and anomalies in the general circulation.The study examines the projected changes in the East Asian eddy-driven jet (EAEJ) during winter in a warming climate using model outputs from the Coupled Model Intercomparison Project phase 5 (CMIP5). The focus is on the magnitude change of synoptic-scale transient eddy activities, measured by eddy kinetic energy (EKE), which is a more significant feature compared to the location displacement in oceanic eddy-driven jets. All CMIP5 models unanimously project an increase in EKE, suggesting that strong winter storm events are likely to occur in East Asia under global warming. The enhancement of EKE is attributed to the growing baroclinicity wave, with upper-level EKE highly correlated to low-level static stability (BVF). The relationship between EKE and BVF is negative, indicating that a more unstable low-level environment will lead to increased EKE. Additionally, the historical state of EKE also influences its future changes. Intermodel variability among CMIP5 models shows a similar but weaker relationship between BVF and EKE, highlighting the large model diversities and independencies. The study emphasizes the importance of accurately simulating midlatitude dynamics in East Asia, as the EAEJ and associated winter storms can cause severe weather and anomalies in the general circulation.