When AI becomes the primary engine of economic production, wage compression for human workers could occur across multiple scenarios: full automation of routine cognitive and manual tasks, replacement of knowledge workers by advanced language models, concentration of capital ownership in AI infrastructure without broad wealth distribution mechanisms, and reduced bargaining power of labor in negotiation with capital. The critical question isn't whether wages decline, but how economies redistribute value when machine productivity exceeds human labor contribution. For crypto communities exploring economic tokenomics and DAO structures, this scenario underscores why programmable incentive mechanisms and decentralized wealth distribution models may become essential frameworks for future economies.