How the Best Companies Use AI
Summary
Leading companies are fundamentally rethinking their approach to AI, viewing it as a growth and opportunity technology rather than merely a tool for efficiency, according to recent studies by PwC and McKinsey. PwC found that 75% of AI's economic gains are captured by just 20% of companies, which are 2-3 times more likely to use AI for growth and business model reinvention. McKinsey's "AI Transformation Manifesto" outlines 12 themes, emphasizing building enduring capabilities, focusing on economic leverage points, and achieving measurable business value, with an average 20% EBITDA uplift for AI leaders. The article highlights the need for senior business leaders to develop AI expertise and for organizations to foster in-house AI talent. George Sivulka's "Institutional AI vs. Individual AI" further distinguishes between individual productivity gains and the need for organizational systems to coordinate AI efforts and manage the influx of AI-generated content. Ramp's internal AI system, Glass, exemplifies this institutional approach, providing every employee with a pre-configured AI workspace, a marketplace of 350+ reusable skills, persistent memory, and scheduled automations, effectively raising the AI proficiency floor for all.
Key takeaway
For Directors of AI/ML or VPs of Engineering tasked with driving enterprise-wide AI adoption, you should prioritize building internal AI infrastructure that acts as a strategic asset. Focus on creating a unified, pre-configured AI environment that integrates existing tools and fosters a culture of shared agentic skills, rather than relying solely on vendor solutions. This approach not only accelerates internal productivity but also directly informs external product development, creating a competitive moat and ensuring measurable business value.
Key insights
Leading companies treat AI as a growth engine, building institutional systems that empower all employees, not just individual users.
Principles
- AI success requires organizational systems, not just individual tools.
- Focus AI on economic leverage points for business model transformation.
- Raise the AI proficiency floor for every employee.
Method
Ramp's Glass system auto-configures AI workspaces, integrates all company tools, offers a marketplace of reusable agent skills, and provides persistent memory and scheduled automations to standardize and scale AI use.
In practice
- Integrate all internal tools into a unified AI workspace.
- Create a marketplace for sharing reusable AI agent skills.
- Implement persistent memory for AI agents across user sessions.
Topics
- AI Leadership
- Institutional AI
- AI Transformation
- Agentic Engineering
- Ramp Glass System
Best for: Director of AI/ML, VP of Engineering/Data, Consultant
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Editorial summary, takeaway, and curation by AIssential. Original article published by The AI Daily Brief: Artificial Intelligence News and Analysis.