Technological advancements have historically rendered some jobs obsolete while creating new ones, a pattern relevant to current anxieties about AI. AI is poised to automate tasks rather than entire jobs, requiring individuals to distinguish between the two to remain relevant. Human work has evolved through various eras, from physical labor to information management, and now to a new phase driven by "deepware" or AI systems. The critical shift is from task execution, which AI can perform, to responsibility, which remains uniquely human. Jobs are bundles of tasks, and while AI excels at output generation, it cannot create outcomes that require human judgment, context, and intentionality.The distinction between outputs produced by AI and outcomes experienced in the real world is crucial, as outcomes demand accountability. Falsely attributing decisions to AI demonstrates a failure of human responsibility, a dangerous illusion offered by deepware. The future of work involves humans overseeing AI, exercising judgment and accountability over its outputs, which represents an elevation, not replacement. Responsible AI necessitates responsible humans who can critically evaluate AI outputs, identify biases, and anticipate consequences.This requires developing uniquely human skills like critical thinking, systems thinking, and consequence thinking, which AI cannot replicate. Over-reliance on AI risks atrophying human capabilities, making us obsolete not through replacement but through voluntary abdication of cognitive function. The future of work centers on human responsibility, requiring verification, critical evaluation, and accountability, ensuring our "wetware" remains engaged. Ultimately, the future depends on humans remembering their agency and accountability, asking who is responsible when AI errs.