The best barometer for AI's enterprise value is not replacing the bottom 5% of workers. A better goal is empowering most employees to become 10x more productive. This reframes the AI conversation from a cost-cutting tool to a massive value-creation engine through human-AI partnership.

Instead of eliminating roles, AI's primary organizational impact is amplifying small, elite, cross-functional teams. A single 10x engineer, 10x designer, and top PM working together can now achieve what previously required a much larger 'swarm,' making these once 'anemic' teams incredibly robust.

While AI can raise the baseline for average performers, its most profound impact will be on "super-empowered individuals." The already great will use AI to achieve 10x productivity leaps, becoming "spectacularly great" in their fields.

AI tools are not just replacing tasks; they are massively amplifying individual and small-team productivity. A team of five can now achieve what once took 30 people, making how you direct your efforts in the next few years more consequential than ever before.

Coinbase invented a role called the "Super Builder" whose sole job is to create more super builders. This person focuses exclusively on building internal AI tools and workflows that accelerate the entire engineering organization, acting as a powerful force multiplier for developer productivity.

True AI-native companies apply AI beyond their external products. They create dedicated internal teams to help employees leverage new AI tools, like LLMs, to boost their own productivity. This is a deliberate, culturally ingrained motion to ensure the entire organization moves with technological shifts.

The paradigm for employees shifts from being an individual contributor to being a manager of AI agents. Success is no longer just direct output, but the ability to effectively set up, direct, and manage a team of autonomous agents to achieve goals.

The role of a top engineer is shifting from writing code to orchestrating multiple AI agents simultaneously. Notion's co-founder now queues tasks for AIs to work on while he's away, becoming a manager of AI talent rather than just an individual contributor, dramatically multiplying his leverage.

The true value of AI isn't cutting headcount but amplifying the output of the existing team. Instead of replacing employees, AI tools can exponentially increase productivity, allowing a small team to achieve what previously required a much larger workforce. The baseline for what's possible is simply rising.