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Scaling Without Losing Identity in the Age of AI

  • May 12
  • 4 min read

If you've ever felt like your company is growing faster than its culture can keep up, you're not imagining it. 


This tension between growth and identity came up repeatedly at GoTech World 2025, where Dwayne Britton, Principal Learning Strategist, Found Principle & Advisor, took the stage to talk openly about what happens when companies scale without a cultural North Star. Beyond the session, we continued the conversation in a written interview, digging deeper into how learning teams can become strategic partners in preserving organizational identity while embracing transformation. 

🔍 The real problem isn't growth. It's cultural drift. 

Let's ground this in reality. Global employee engagement has crashed to 21% in 2024, matching pandemic lows, while disengagement is costing the global economy $8.9 trillion annually (Archie, 2025). Meanwhile, 88% of organizations are deploying AI at unprecedented speed (McKinsey, 2025), and 40% of enterprise applications will feature AI agents by the end of 2026, up from less than 5% in 2025 (Gartner, 2025). 


As Dwayne put it on stage at GoTech World: "When we don't clearly define our organizational culture, typically the loudest and strongest voices in your company will create that culture for you and the same is happening with the learning culture. When we don't clearly articulate what good learning looks like, the loudest and strongest voices in the room will actually shape that culture for you. And it might not be the direction you're heading." 


During hypergrowth, learning becomes fragmented and different teams interpret "how we do things here" in completely different ways. People experience the brand differently depending on who trained them and where. The danger? "Too much process kills innovation", as Dawayne stressed it on Main Stage. Without clear cultural guardrails, you either drown in chaos or suffocate under rigid processes. 

🤝 The future isn't frameworks or chaos. It's cultural operating systems. 

Most companies add more processes, more frameworks, more people, but frameworks alone won't save you. What you need is a point of view about how people grow and make decisions, clear enough to guide, flexible enough to scale. 


That's where Dwayne's approach shifts the conversation: "A learning philosophy sits between your strategy and your initiatives. This gives your team a shared language for what good learning looks like, according to the culture that you're trying to build. A good learning philosophy can make sure that the frameworks you're borrowing and integrating into your company really speak to the culture you're trying to build”. 


But here's where 2026 gets interesting and urgent. 


With 64% of companies already altering their hiring approaches due to AI agents (KPMG, 2026), and Gartner reporting a 1,445% surge in multi-agent system inquiries in just one year (Machine Learning Mastery, 2026), every employee using ChatGPT, Claude, or other AI tools is essentially creating their own interpretation of "how we do things here." 


Here's the insight that changes everything: with AI-powered self-directed learning now happening constantly between formal programs, companies need a clear North Star more than ever. As Dwayne explained, "You can have 500 people that are really competent, but they won't necessarily be coherent and moving in the direction of your team". 

🎯 What this actually means for your next quarter 

Maybe we've spent the past year moving so fast we haven't stopped to ask the hard question: what do we actually believe about how people grow here? 


When Dwayne asked this to a room of hundreds at GoTech World, only a couple of hands went up. Even fewer could say their leadership team would answer the same way. That gap - between what you think your culture is and what it actually is - is where companies lose their identity while scaling. And in 2026, with AI amplifying everything, that gap becomes a chasm. 


As Dwayne reflected in our interview: "I think the future of L&D is making it more human. Because learning is deeply human... Learning requires vulnerability. Safety. Inspiration. Curiosity... I think AI may tip the scales back toward humanity." 


The question isn't "Will AI fragment our culture?" It's "How do we use this moment to clarify what we stand for before AI multiplies everything?" 


Because while AI enables employees to learn faster and more independently than ever, it also makes cultural clarity more valuable than ever. The companies that will thrive aren't fighting this shift, they're using it as a forcing function to finally articulate what they believe. 

As Dwayne reminds us in the interview: "Sometimes L&D teams get too focused on the granular level. Just skills. And skills are undoubtedly important, in many ways the core of what we do. Yet our work has got to be rooted in culture too. Because we're one of the only teams literally given permission within organizations to evangelize 'the way things are done around here' . That's culture." 


So what's your answer: Can you articulate what your company believes about how people grow? Or are you letting the loudest voices decide for you? 


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