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.

Frame internal AI initiatives not as a way to replace employees, but to automate their chores. This frees them to move 'up the stack' to perform higher-value functions like client relations, creative strategy, and founder meetings, ultimately increasing overall output.

To move beyond mandates, Salesforce provides leaders with a dashboard showing exactly which employees are using approved AI tools and how often. This data-driven approach allows managers to pinpoint adoption gaps and diagnose the root cause—such as skill versus will—for targeted intervention.

Coastline Academy frames AI's value around productivity gains, not just expense reduction. Their small engineering team increased output by 80% in one year without new hires by using AI as an augmentation tool. This approach focuses on scaling capabilities rather than simply shrinking teams.

Enterprises face hurdles like security and bureaucracy when implementing AI. Meanwhile, individuals are rapidly adopting tools on their own, becoming more productive. This creates bottom-up pressure on organizations to adopt AI, as empowered employees set new performance standards and prove the value case.

Instead of abstract productivity metrics, define your AI goal in terms of concrete headcount avoidance. Sensei's objective is to achieve the output of a 700-person company with half the staff by using AI to bridge the gap. This makes the ROI tangible and aligns AI investment with scalable, capital-efficient growth.

The business case for AI isn't always about revenue or cost-savings. For SaaStr, the primary driver was solving employee burnout and churn in repetitive roles like SDR and content review. AI can provide operational consistency when people no longer want to do the work.

To accelerate company-wide skill development, Shopify's CEO mandated that learning and utilizing AI become a formal component of employee performance evaluations. This top-down directive ensured rapid, broad adoption and transformed the company's culture to be 'AI forward,' giving them a competitive edge.

Recognizing that providing tools is insufficient, LinkedIn is making "AI agency and fluency" a core part of its performance evaluation and calibration process. This formalizes the expectation that employees must actively use AI tools to succeed, moving adoption from voluntary to a career necessity.