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 automates entry-level knowledge work, human roles will shift towards management. The critical skill will no longer be doing the work, but effectively delegating to and coordinating a team of autonomous AI agents. This places a new premium on traditional management skills like project planning and quality control.

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.

As AI agents take over task execution, the primary role of human knowledge workers evolves. Instead of being the "doers," humans become the "architects" who design, model, and orchestrate the workflows that both human and AI teammates follow. This places a premium on systems thinking and process design skills.

Career security in the age of AI isn't about outperforming machines at repetitive tasks. Instead, it requires moving 'up the stack' to focus on human-centric oversight that AI cannot replicate. These indispensable roles include validation, governance, ethics, data integrity, and regulatory AI strategy, which will hold the most influence and longevity.

Industry leaders from LinkedIn and Salesforce predict that AI will automate narrow, specialized tasks, fundamentally reshaping careers. The future workforce will favor 'professional generalists' who can move fluidly between projects and roles, replacing rigid departmental structures with dynamic 'work charts.'

The adoption of powerful AI agents will fundamentally shift knowledge work. Instead of executing tasks, humans will be responsible for directing agents, providing crucial context, managing escalations, and coordinating between different AI systems. The primary job will evolve from 'doing' to 'managing and guiding'.

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.

Historical data from the computer revolution shows that technology rarely replaces entire professional jobs. Instead, it automates routine tasks within a role, freeing up humans to focus on higher-value activities like analysis, judgment, and coordination, thereby upgrading the job itself.