Every new compute paradigm in history has faced the same adoption barrier: existing code doesn’t run on it. Migrating to a new instruction set architecture requires rewriting software stacks, retraining engineering teams, rebuilding toolchains, and accepting years of parallel operation during transition. For enterprises and governments managing complex, mission-critical software portfolios, this cost is often prohibitive — even when the underlying technology is superior.