For executives to truly drive AI adoption, simply using the tools isn't enough. They must model three key behaviors: publicly setting a clear vision for AI's role, actively participating in company-wide learning initiatives like hackathons, and empowering employees with the autonomy to experiment.

To navigate the unpredictable AI landscape, Snowflake's CEO dismantled its specialized, multi-layered structure that had slowed down iteration. This shift prioritized accountability and shorter engineer-to-customer feedback loops, recognizing that speed and adaptability now trump carefully laid out strategies.

Amplitude's CEO describes the painful transition from founder (running to the hardest problem) to large-company executive. The latter role requires embracing hierarchy, saying "no" to most things, and managing through leverage rather than direct contribution—a skill set many founders resist and fail to learn.

While empowering employees to experiment with AI is crucial, Snowflake found it's ineffective without an executive mandate. If the CEO doesn't frame AI as a top strategic initiative, employees will treat it as optional, hindering real adoption. Success requires combining top-down leadership with bottom-up innovation.

Competing in the AI era requires a fundamental cultural shift towards experimentation and scientific rigor. According to Intercom's CEO, older companies can't just decide to build an AI feature; they need a complete operational reset to match the speed and learning cycles of AI-native disruptors.

In fast-paced environments like AI, the opportunity cost of lengthy internal debates over good-enough options is enormous. A founder mindset prioritizes rapid execution and learning over achieving perfect consensus, creating a significant competitive advantage through speed.

Contrary to the popular bottoms-up startup ethos, a top-down approach is crucial for speed in a large organization. It prevents fragmentation that arises from hundreds of teams pursuing separate initiatives, aligning everyone towards unified missions for faster, more coherent progress.

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.

Amplitude's CEO transformed his organization not by issuing a product roadmap, but by first focusing on internal education. An "AI week" and hackathons got the engineering team using AI tools like Cursor, building belief and capability before they were tasked with creating new AI features.