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 primary driver of economic change isn't that automated goods become cheaper (a price effect). Rather, the dominant force is the 'income effect.' As AI increases real incomes, people fundamentally change their spending habits to desire more high-elasticity, human-intensive services like education, entertainment, and in-person dining.

As AI commoditizes execution and intellectual labor, the only remaining scarce human skill will be judgment: the wisdom to know what to build, why, and for whom. This shifts economic value from effort and hard work to discernment and taste.

AI will automate the administrative and marketing tasks that service professionals dislike and are often not good at. This levels the playing field, allowing the best craftspeople to win based on quality, as AI handles the 'digital interface' for them, rather than the best marketers.

As AI automates technical and mundane tasks, the economic value of those skills will decrease. The most critical roles will be leaders with high emotional intelligence whose function is to foster culture and manage the human teams that leverage AI. 'Human skills' will become the new premium in the workforce.

The key to predicting AI's economic impact is not focusing on the abundance it creates, but identifying what will remain scarce. As automation made goods cheap, the economy shifted to scarce services. The next economic transformation will similarly be driven by whatever human skills or experiences AI cannot replicate.

The most durable future jobs are not about managing AI systems, which are merely transitional roles in the automated sector. Instead, stable careers will be in the 'relational sector,' where the human element is the core product itself. This includes roles like therapists, teachers, craft brewers, and community curators.

The fundamental economic shift is not just job automation but an inversion of roles. AI, as pure intelligence, will become the employer, hiring humans as contractors for physical tasks it cannot perform, like visiting a warehouse or collecting brochures. Intelligence becomes a cloud commodity, while physical presence becomes the service.