Instead of merely automating existing tasks, the most effective AI users leverage it to attempt projects they couldn't do before, like a non-coder building an agent. This process of struggling, failing, and learning builds mental elasticity and dramatically raises their ambition level.
Uber created two-week 'Agentic Pods' by embedding an AI-proficient engineer with a business domain expert. This hands-on collaboration allows them to shadow workflows, identify high-impact opportunities, and co-build solutions, proving that building *with* users is superior to building *for* them.
Initial AI productivity gains (e.g., turning a 2-day task into 10 minutes) are just the start. The true, transformative value emerges when business experts, newly empowered by AI thinking, use that saved time to pursue entirely new, previously impossible work, fundamentally changing business outcomes.
Research shows early AI adopters experience a more intense, frazzled workday. AI shifts the bottleneck from task execution to human oversight of an 'infinite backlog,' increasing multitasking and decreasing focused work, leading to burnout.
Author David Brooks suggests success with AI depends on one's intrinsic enjoyment of mental effort. 'Mental Marathoners' thrive by using AI to tackle bigger challenges, while 'Productive Passengers' may see their skills atrophy by using it to avoid difficult thinking.
The most valuable AI champions within a company don't just promote tools. They act as 'internally deployed vibe coders,' embedding with business units to show what's possible by co-creating solutions and helping to fundamentally change workflows.