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.

Many employees secretly use AI for huge efficiency gains. To harness this, leaders must create programs that reward sharing these methods, rather than making workers fear punishment or layoffs. This allows innovative, bottom-up AI usage to be scaled across the organization.

Instead of relying solely on top-down, consultant-led workflow automation, enterprises should empower individual employees with AI tools. This builds user fluency and intuition, allowing them to pull AI into their own workflows, resulting in greater overall impact and less disempowerment.

Wharton Professor Ethan Malek argues that during a technological revolution, using efficiency gains to fire people is a mistake. The winning strategy is to treat AI as a capacity gain, empowering existing teams to innovate and create new advantages that were previously impossible.

Simply giving AI tools to existing departments like legal or finance yields limited productivity gains. The real unlock is to reimagine and optimize end-to-end, cross-functional processes (e.g., 'onboarding a new supplier'). This requires shifting accountability from departmental silos to process owners who can apply AI holistically.

AI tools act as a 'superpower' for high-agency generalists who possess good taste and deep customer understanding but may lack deep technical specialization. This could reverse the long-standing corporate trend of valuing specialists, making these empowered generalists the most impactful players in a company.

Leadership often imposes AI automation on processes without understanding the nuances. The employees executing daily tasks are best positioned to identify high-impact opportunities. A bottom-up approach ensures AI solves real problems and delivers meaningful impact, avoiding top-down miscalculations.

AI tools serve as an "antidote to the managerial revolution" by empowering individual contributors to build and deploy solutions directly. This bypasses bureaucratic layers of middle management, accelerates innovation, and shifts the power balance within organizations back to frontline workers.

At Block, the most surprising impact of AI hasn't been on engineers, but on non-technical staff. Teams like enterprise risk management now use AI agents to build their own software tools, compressing weeks of work into hours and bypassing the need to wait for internal engineering teams.