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.

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.

As AI automates commodity production, making goods cheap and abundant, economic focus and employment will shift to a 'relational sector.' In this sector, the value of a service is inseparable from the human provider—think artisans, therapists, and experience designers, whose human touch becomes the premium feature.

AI will be a substitute for routine tasks but a complement for strategic work. Professionals will see rote work automated, forcing them to move "upstream" to higher-value advisory roles. The career imperative is to find where AI enhances, rather than replaces, your skills.

The traditional law firm model relies on a large base of junior associates for grunt work. As AI automates these tasks, the need for a large entry-level class shrinks, while mid-career lawyers who can effectively leverage AI become more valuable, morphing the firm's structure into a diamond shape.

AI's primary impact is not wholesale human replacement but rather collapsing the middle of the value pyramid by automating routine knowledge work. The value of human workers will shift to higher-level judgment and strategic oversight, where AI can structure options and simulate outcomes, but humans retain final say due to liability concerns.

The fear that AI will eliminate jobs in fields like law is misplaced. While it automates low-level tasks, it also enables clients to grow faster and create more complex products. This generates a new wave of demand for high-level advisory on emerging issues like AI risk and global regulations.

A key "human premium" job category will be the human "translator" who converts a client's messy desires into effective AI-mediated work. This role adds economic value by saving the client from needing to master complex AI tools, creating a profitable margin on top of cheap, underlying AI output.

As AI makes it incredibly easy to build products, the market will be flooded with options. The critical, differentiating skill will no longer be technical execution but human judgment: deciding *what* should exist, which features matter, and the right distribution strategy. Synthesizing these elements is where future value lies.