To encourage AI adoption, Bitly's marketing team holds a weekly, low-preparation "How I AI" meeting. Team members share personal AI use cases, fostering a safe learning environment, spreading practical knowledge across roles, and helping overcome the common feeling of imposter syndrome around AI.

Mandating AI usage can backfire by creating a threat. A better approach is to create "safe spaces" for exploration. Atlassian runs "AI builders weeks," blocking off synchronous time for cross-functional teams to tinker together. The celebrated outcome is learning, not a finished product, which removes pressure and encourages genuine experimentation.

Encourage broad AI experimentation and learning by creating multiple channels for sharing. Wrike uses dedicated Slack channels for quick updates, carves out time in monthly all-hands meetings for teams to showcase their AI wins, and maintains a reference library of successful AI-enabled workflows for others to learn from and replicate.

The real power of AI in a shared space like Slack is not just individual productivity. When colleagues observe each other's prompts and workflows, it creates a viral learning loop. This public interaction spreads best practices and up-levels the entire organization's AI competency.

Webflow accelerates AI tool adoption using company-wide "Builder Days." This combines a top-down executive mandate (e.g., "no meetings without a prototype") with bottoms-up enablement, including tool access, support channels, and prizes. The goal is to move the entire organization up the adoption curve, not just early adopters.

To get teams to embrace AI, leaders should ditch generic mandates like "use more AI." Instead, focus on specific business transformations and highlight the customer value they create. Using company-wide forums for "show and tell" sessions where teams demonstrate unarguable successes makes adoption organic and outcome-driven, not a top-down chore.

To scale internal AI knowledge, Wrike created a formal library of AI-enabled workflows. They also dedicate time in monthly marketing all-hands for team members to showcase what they've built, which fosters peer-to-peer learning and cross-functional inspiration.

Iron Horse replaced typical business updates at the start of leadership meetings with a mandatory "show-and-tell" where each leader demonstrates what they've built with AI. This peer pressure fosters cross-functional inspiration, proving more effective than top-down mandates for driving company-wide adoption.

A key driver of internal AI adoption is its visibility. When employees see AI agents being used effectively in public group chats like Slack, it creates a contagious effect, demonstrating use cases and encouraging others to experiment and adopt the tools themselves.