# Practical Lessons for Scaling AI Adoption

How companies successfully scale their AI programs

- **Source:** [McKinsey Insights](https://www.mckinsey.com/insights)
- **Published:** 2026-07-13
- **Topic:** [Data & AI](https://brifing.si/c/data-ai)
- **Original article:** <https://www.mckinsey.com/capabilities/tech-and-ai/our-insights/rewired-takes-practical-people-lessons-for-scaling-ai-adoption>
- **On Brifing:** https://brifing.si/s/e91a505b-e5d6-4960-8acd-0b745b319dde

## Introduction

McKinsey Senior Partner Brooke Weddle explores how companies successfully scale their AI programs. She emphasizes the importance of the human factor in this process.

## AI Adoption

The adoption of AI technologies by companies is a complex process, especially in large-scale organizations. Weddle shares practical lessons from this process.

## Human Factor

The human factor plays a critical role in AI adoption. Employee adaptation and leadership support are essential for successful scaling.

## Leadership Support

Active leadership support for AI projects increases employee motivation and accelerates the process. Weddle examines leadership strategies.

## Success Stories

Weddle shares stories of companies that have successfully scaled their AI programs. These examples can be a guide for other companies.

## Conclusion

Scaling AI adoption is possible with the human factor and leadership support. Brooke Weddle's practical lessons are a valuable guide for companies.

## Sources covering this story

- https://www.mckinsey.com/capabilities/tech-and-ai/our-insights/rewired-takes-practical-people-lessons-for-scaling-ai-adoption — 

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_Summary written by Brifing from the original reporting. Copyright in the original article belongs to its publisher; read the full piece at the link above._
