Hi Community,
In today’s rapidly evolving tech landscape, AI is a transformative force, with the power to reshape how organizations operate. However, while some organizations are accelerating with AI, many remain stalled in the pilot phase. Understanding the factors that differentiate these groups can help close this gap and maximize AI’s potential.
This disparity highlights a significant challenge in the journey from AI experimentation to full-scale implementation.
Meet the AI Scalers
AI Scalers are moving beyond mere deployment of AI. They are fundamentally rethinking how work gets done, embedding AI into the core of their operations. Here are the six trends that set AI Scalers apart:
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AI shifts from pilots to platforms: AI Scalers treat AI as core infrastructure rather than running isolated projects. -
AI becomes a shared responsibility: Cross-functional teams are brought in to shape strategy, set policies, and drive adoption. -
Governance stops blocking and starts enabling: Clear policies are paired with practical training, making AI both safe and usable. -
AI gets embedded into everyday tools: Friction is reduced by integrating AI into tools that teams already use. -
ROI moves beyond cost savings: The focus shifts to human-centered ROI, including adoption rates, user satisfaction, and overall impact. -
AI agent readiness becomes a priority: Investments are made in education, shared libraries are built, and rule-based automations serve as a starting point.
AI Scalers approach AI differently. And you can too!
By 2025, it’s not just about trying AI, it’s about transforming with it. AI Scalers are pulling ahead by making AI a core part of how their teams work every day, not just layering it on top.
We gathered insights from over 3,000 knowledge workers to better understand what scaling AI really looks like.
What’s your org doing differently when it comes to AI? Or what do you wish it was doing? Let us know in the comments! 