The exascale era has reiterated the need for a more unified and standardized software stack for GPU programming. The fragmentation creates barriers to code portability, hinders performance optimization, and increases the development effort required for scientific applications. As we move forward, the community must address these challenges. Initiatives like SYCL, OpenMP, and community-driven efforts like Kokkos and RAJA look promising toward achieving a more unified programming experience. However, vendors, developers, and researchers must collaborate closely to establish common standards and standardize a more cohesive and interoperable software ecosystem for GPU computing.