When the new Horizontal Datums are released, states will be making choices about datums and projections. These choices will have impacts on the GIS community as well as Surveying, Design, and construction industries.
Some states will define statewide projection zones, and many states are defining low distortion projections. It will benefit communities creating and stewarding GIS data to define projections minimizing distortion, thereby making GIS data more valuable for surveyors, designers, and builders.
Changes in GIS are occurring nationally, with directives and objectives to "roll up" community developed data to state and federal levels.
With the current design, a State would likely need to project from a community level Low Distortion to a conformal statewide projection to take advantage of data defined in a projection. Likewise, the feds would have to define their projection on a US level. Each re-projection to a larger area will introduce distortion.
The idea is to architect the ArcGIS platform and the Geodatabase/feature dataset containers to allow feature data to remain in the low distortion projections. Applications would then need to be able to cluster these geodatabase projection containers together for processing and spatial analysis in desktop software in a hive like distributed system. Enterprise level servers would need to be able to combine the clusters into a seamless application service with many defined source projections. Ideally enterprise applications would display maps using NSRS projections on the fly based on scale level. AND this approach needs to work with Linear Referencing systems including Roads and Highways.