Careful allotment of water resources for irrigation is critical to ensuring the resiliency of agriculture in semi-arid regions, and modernizing irrigation technology to minimize inefficient losses is an important tool for farmers and agricultural economies.  While modernizing irrigation technology can achieve reductions in non-beneficial use of water such as bare soil evaporation, non-consumptive losses or water returned back to the landscape are also reduced, often eliminating flowpaths that other users rely on.  In basins using a combination of surface and groundwater, replenishing aquifer storage by the enhanced aquifer recharge (EAR) of seasonally available water can mitigate the aquifer drawdown that results from reduced recharge when irrigation efficiency is improved.  We examine the effects of EAR on the system-scale efficiency of modernizing irrigation technology and the resulting changes to the reuse of non-consumptive losses using a macro-scale hydrologic model applied to the semi-arid Upper Snake River Basin (USRB) of western Wyoming and southern Idaho, USA.  Irrigation technologies were represented explicitly in the model, and available data-informed baseline parameterizations of irrigation technology.  A suite of parameterizations was simulated that updated existing technologies to be more efficient, both with and without sufficient EAR to cause stabilization of the aquifer at the present-day head.  As expected, simulated changes to irrigation technology resulted in greater downstream export of pristine water and a higher rate of aquifer drawdown when EAR was not simulated.  Under current water use and cropping patterns, we were not able to simulate aquifer stabilization and maintain discharge downstream at any level of irrigation efficiency.  We found support for the hypothesis that as efficiency improves, less EAR is required to maintain a stable aquifer than returns flows are reduced due to increased efficiency.  To evaluate the hypothesis, we defined the management benefit as a metric that compared the difference between the change in irrigation’s net recharge from the change in MAR required as irrigation technology became more efficient.  The metric generally indicated that less EAR was needed than net recharge was lost, but only for the most efficient case did the management benefit exceed the EAR needed at baseline to stabilize the aquifer.  Increasing efficiency of irrigation technology reduced reuse, the gross irrigation derived from prior non-consumptive losses, but simulating EAR increased reuse for a given parameterization, leading to higher effective irrigation efficiency.  We find that local groundwater storage that users depend on is generally more sensitive to management decisions than downstream flows, and drawdown of the aquifer without EAR always exceeded any decrease in discharge induced by EAR.  Improving resource sufficiency in semi-arid systems like the USRB will require an array of solutions that will necessarily weigh benefits to local and downstream users.