The integration of AI into human-led services will mirror Tesla's approach to self-driving. Humans will remain the primary interface (the "steering wheel"), while AI progressively automates backend tasks, enhancing capability rather than eliminating the human role entirely in the near term.

A core principle for developing successful AI products is to focus on amplifying human capabilities, not just replacing them. The vision should be to empower human teams to perform the most demanding cognitive tasks and increase their impact, which leads to better product design and user adoption.

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.

Like chess players who still compete despite AI's dominance, humans will continue practicing skills like writing or design even when AI is better. The fear that AI will make human skill obsolete misses the point. The intrinsic motivation comes from the journey of improvement and the act of creation itself.

Once AI surpasses human intelligence, raw intellect ceases to be a core differentiator. The new “North Star” for humans becomes agency: the willpower to choose difficult, meaningful work over easy dopamine hits provided by AI-generated entertainment.

Despite AI's capabilities, it lacks the full context necessary for nuanced business decisions. The most valuable work happens when people with diverse perspectives convene to solve problems, leveraging a collective understanding that AI cannot access. Technology should augment this, not replace it.

Contrary to fears of a forced, automated future, AI's greatest impact will be providing 'unparalleled optionality.' It allows individuals to automate tasks they dislike (like reordering groceries) while preserving the ability to manually perform tasks they enjoy (like strolling through a supermarket). It's a tool for personalization, not homogenization.

A tangible way to implement a "more human" AI strategy is to use automation to free up employee time from repetitive tasks. This saved time should then be deliberately reallocated to high-value, human-centric activities, such as providing personalized customer consultations, that technology cannot replicate.

AI excels at intermediate process steps but requires human guidance at the beginning (setting goals) and validation at the end. This 'middle-to-middle' function makes AI a powerful tool for augmenting human productivity, not a wholesale replacement for end-to-end human-led work.