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.

The most potent productivity gains from AI aren't just for junior staff. Seasoned professionals who combine deep domain expertise with adaptability are using AI to rapidly learn adjacent skills like design or marketing. This allows them to "collapse the skill stack" and single-handedly perform tasks that previously required multiple people.

Framing AGI as reaching human-level intelligence is a limiting concept. Unconstrained by biology, AI will rapidly surpass the best human experts in every field. The focus should be on harnessing this superhuman capability, not just achieving parity.

Don't view AI through a cost-cutting lens. If AI makes a single software developer 10x more productive—generating $5M in value instead of $500k—the rational business decision is to hire more developers to scale that value creation, not fewer.

While many believe AI will primarily help average performers become great, LinkedIn's experience shows the opposite. Their top talent were the first and most effective adopters of new AI tools, using them to become even more productive. This suggests AI may amplify existing talent disparities.

AI coding assistants won't make fundamental skills obsolete. Instead, they act as a force multiplier that separates engineers. Great engineers use AI to become exceptional by augmenting their deep understanding, while mediocre engineers who rely on it blindly will fall further behind.

AI is expected to disproportionately impact white-collar professions by creating a skills divide. The top 25% of workers will leverage AI to become superhumanly productive, while the median worker will struggle to compete, effectively bifurcating the workforce.

The productivity gains from individual AI use will become so significant that a wide performance gap will emerge in the workplace. The most talented employees will become hyper-productive and will refuse to work for organizations that don't support these new workflows, leading to a significant talent drain.

AI disproportionately benefits top performers, who use it to amplify their output significantly. This creates a widening skills and productivity gap, leading to workplace tension as "A-players" can increasingly perform tasks previously done by their less-motivated colleagues, which could cause resentment and organizational challenges.