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.

Instead of eliminating entire jobs, AI unbundles them into tasks. It will replace roughly 80% of these tasks while significantly enhancing the remaining 20%. This creates a "K-shaped" divergence, amplifying those who adapt and leaving behind those who don't.

The common fear of AI eliminating jobs is misguided. In practice, AI automates specific, often administrative, tasks within a role. This allows human workers to offload minutiae and focus on uniquely human skills like relationship building and strategic thinking, ultimately increasing their leverage and value.

Productivity gains from AI don't simply reduce the total amount of work. Instead, they unlock new capabilities and analytical depths, creating new types of jobs and expanding what's possible. The long tail of work doesn't get shorter; it gets longer in a different, more complex way, representing a growing pie of innovation.

AI's primary impact will be augmenting and increasing productivity across entire organizations, not just automating lower-level tasks. The technology can handle a fraction of almost everyone's job, freeing up humans to focus on strategic, creative, and interpersonal work that models cannot perform.

AI's limited impact on unemployment stems from the fact that jobs aren't fixed sets of tasks. Instead of simple replacement, AI leads to job evolution. Users report that the biggest productivity gain is an expanded "scope," allowing them to take on new responsibilities and proficiently handle more work.

AI doesn't just automate tasks; it augments professionals to produce higher-quality output. A lawyer with an AI assistant won't handle 20x more cases but will conduct 20x more analysis on each case, analogous to how spreadsheets enabled more complex financial modeling instead of replacing analysts.

AI will handle most routine tasks, reducing the number of average 'doers'. Those remaining will be either the absolute best in their craft or individuals leveraging AI for superhuman productivity. Everyone else must shift to 'director' roles, focusing on strategy, orchestration, and interpreting AI output.

The AI narrative should shift from job replacement to labor abstraction. AI automates menial work (e.g., a banking analyst moving logos) to free up humans for higher-value, more fulfilling tasks that require judgment and storytelling, ultimately increasing overall productivity and skill.