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Improve Team Dynamics and Breakdown Silos with AI
Start seeing AI as a teammate vs. a tool to increase team and individual performance
Steve Luu
April 01, 2025 • Estimated Read Time: 4 minutes
⏱️ Your Morning Brief (TL;DR)
Welcome back,
If you’ve given your company access to AI tools and thought your job was done as a leader, think again.
This week, we unpack a study on how integrating AI into cross-functional teams can level up everyone around them and make people enjoy their work more.
The study involved 776 professionals across P&G replicating a product development process across business units.
Participants were organized into teams, or worked individually, with half given access to GPT-4/4o.
Who wins?
The results will challenge your thinking about implementing AI.
It’s like your favourite reality TV with a bunch of CPG professionals.
So, get your popcorn out! 🤓🍿
💡 This Week’s Deep Dive
Inside P&G's AI Experiment: What 776 Professionals Revealed About the Future of Work
Learnings | Without AI | With AI | Impact |
|---|---|---|---|
Performance Improvement | Teams without AI outperformed Individuals without AI. | Individuals with AI performed the same as teams without AI. Teams with AI performed best overall. | Better quality without adding headcount. |
Work Efficiency | Baseline | AI helped groups work 12-16% faster, while producing more detailed solutions. | Better quality and productivity. |
Expertise Boundaries | Clear silos between R&D and Commercial teams. Stay in your lane. | Silos were broken down between functions, solutions were more balanced. | Remove department silos and expertise barriers. |
Experience Leveling | Less experienced employees performed poorly, even in teams. | Inexperienced employees leveled up with AI, comparable to teams with experienced employees. | Democratization of expertise and faster onboarding. |
Employee Experience | Baseline | Excitement, energy, enthusiasm and lowered anxiety and frustration. | AI has potential to improve engagement, satisfaction, and retention. |
GPTLDR Takeaways
Cross-functional teams that use AI as a collective group outperformed in the study. Better quality and faster results.
AI is more than a tool to increase individual capabilities, it helps level out expertise and flow of knowledge between your teams and company. Here’s a few takeaways:
Rethink Siloed Structures: Find ways to incorporate AI into your processes to breakdown department silos.
Build vs. Buy Decision Framework: When evaluating AI solutions, think about collaboration and knowledge sharing.
Measuring AI Performance : Look beyond individual productivity and how AI can improve team dynamics and organizational structure.
ROI: Don’t just look at saved time, reduced headcount, think about solution quality, cross-functional collaboration, and employee experience.
Differentiation: By looking at AI as part of the team vs. a productivity tool, you’ll change the way you implement.
📚 Interesting Reads
How to prompt OpenAI’s new o1 model (Link)
McKinsey - How generative AI could reshape B2B sales (Link)
Hubspot - How B2C companies leverage AI in Marketing (Link)
Claude x Databricks collab to bring enterprise domain specific agents (Link)
WEF - How to Integrate AI Agents and Accelerate Speed to Value (Link)
🤔 AI Thoughts
GPTLDR’s take - Experiment. Experiment. Experiment. We personally use different models for different use cases. For example, ChatGPT for idea partner, deep industry research, and quick understanding of an idea. Claude is a go to as a writing partner.
➜ Until Next Time
So, as you roll out AI across your company, remember, it's not just about the latest tools. Think about how AI can turn your departmental silos into one collaborative team.
Catch you in the next one, and don't forget AI can help break down some walls for you!
Stay curious,
Steve