Contrary to the job loss narrative, AI will increase demand for knowledge workers. By drastically lowering the cost of their output (like code or medical scans), AI expands the number of use cases and total market demand, creating more jobs for humans to prompt, interpret, and validate the AI's work.

The optimistic scenario for human labor in an AI-driven economy is one of complementarity. If there are crucial tasks that only humans can perform (e.g., final approval, strategic oversight), they become a valuable bottleneck. The immense productivity of the machines they oversee would then drive their wages up significantly.

The classic economic theory that humans will always find work through comparative advantage may fail. David Duvenaud argues that for critical roles (e.g., surgeon, politician), the 'transaction cost' of human unreliability—sickness, error, inconsistency—will make it irresponsible to employ a human over a hyper-reliable AI, regardless of niche skills.

Despite significant AI adoption, unemployment remains low because AI functions as a complementary tool, not a replacement. According to Anthropic's Head of Economics, AI amplifies what expert humans can achieve, broadens the scope of their work, and increases the returns to working with the technology.

Even super-capable AI will always look back to a human and ask, 'What should I do next?' The economic and technical incentives are aligned to build compliant tools, not beings with their own intrinsic motivations. This fundamental lack of agency ensures humans remain the drivers of value and direction.

AGI won't eliminate all jobs because many roles contain a "Human Premium"—value tied to human involvement that AI cannot replicate. This includes inherent demands for relationship, embodied presence, trust, legal accountability, translation of complex needs, and encouragement for behavior change, ensuring durable roles for people.

Applying the economic principle of comparative advantage, even if AI achieves absolute superiority in all tasks, humans should specialize where their advantage is greatest relative to AI. This will likely be high-level "thinking," as human attention remains the scarcest resource in the collaboration.

Fears of AI-driven mass unemployment overlook basic capitalism. Any company that fires staff to boost margins will be out-competed by a rival that uses AI to empower its workforce for greater output and market share, ensuring AI augments jobs rather than eliminates them.

Even if an AGI is better at everything, the economic principle of comparative advantage holds. As long as AGI is constrained by time or resources, it will specialize in its highest-value tasks (e.g., solving cosmic mysteries), leaving other work for humans.