AI models will quickly automate the majority of expert work, but they will struggle with the final, most complex 25%. For a long time, human expertise will be essential for this 'last mile,' making it the ultimate bottleneck and source of economic value.

Technological advancement creates a paradox: as machines automate more tasks, the economic value of uniquely human and social interaction increases. This structural shift helps explain why recent job growth is so concentrated in sectors like health, education, and hospitality.

The standard economic production function based on Capital and Labor is becoming obsolete. In an economy dominated by AI and robotics, a more useful model distinguishes between Hardware (physical labor, robotics) and Software (cognitive tasks, AI). This new framework better captures the value contributed by both humans and machines.

Even if AI saves time on tasks like curriculum planning, a teacher's overall productivity is constrained by the need to be in a classroom. This illustrates how job-level productivity gains can be limited by non-automatable "bottlenecks," potentially reducing AI's aggregate economic impact.

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.

Typically seen as a negative, Baumol's cost disease—where non-automatable sectors become relatively more expensive—becomes a feature in a post-AI world. The rising cost of human services stops being a budget problem and instead becomes a labor market solution, creating a virtuous cycle where employment grows precisely in sectors that resist automation.

Macroeconomic models reveal a critical threshold. If even 1% of tasks remain exclusively for humans (e.g., relational or oversight roles), wages can grow indefinitely. However, if AI achieves 100% task automation, human labor may lose all economic value, causing wages to crash.

The Industrial Revolution shifted economic power from land to labor. AI is poised for an equally massive transition, making capital, not labor, the primary driver and limiting factor of production. As AI increasingly substitutes for human labor, access to capital for machines and computation will determine economic output.

The fear of AI-driven mass unemployment is a classic economic fallacy. Like past technologies, AI is a tool that raises the marginal productivity of individual workers. More productive workers don't work less; they take on more ambitious projects and create new kinds of jobs, increasing the overall demand for labor.