In biology, fitness is determined by how well an organism is suited to its environment, not necessarily how large or strong it is. The same logic applies to business. The lesson for today is: Having the most powerful large language model, the biggest AI budget, or the most pilots doesn’t ensure survival. How you adapt to this rapidly shifting AI landscape matters just as much.
Adaptation starts with mindset and is executed through enterprise AI culture. Mindset is a differentiator: Some leaders know where they stand and where they need to go. Some recognize they don't know what they don't know and are determined to find out. Others believe what they already know is enough to get by.
Those different mindsets translate into distinct organizational cultures. In this AI era, your culture will shape your odds of surviving and thriving.
Organizations differ not just in their AI adoption and maturity, but more fundamentally in how they think about and approach AI.
Jeremiah Owyang, a general partner at Blitzscaling Ventures, identified these differences while deciding where to place his AI investment bets. Through extensive research with executives, entrepreneurs, and innovators across Silicon Valley and beyond, he found that organizations held different beliefs about what AI could and should do.
What he observed about cultures matched my own research. Together, we developed these observations into four distinct variations of AI culture:
- AI follower businesses wait for best practices, proven return on investment, and success stories from peers before adopting. They treat AI as vendor-provided tooling, prioritizing stability and compliance over speed and innovation.
- AI forward organizations integrate AI alongside humans, using that framing deliberately to promote employee comfort and acceptance. They’re moving but carefully managing the cultural transition.
- AI first companies seek to lead with AI. They employ a three-step decision framework: 1) Adopt an existing AI tool, 2) build or vibe code one if it doesn’t exist, and 3) hire a human if, and only if, that doesn’t work. Repeat that process until the organization becomes lean and productive.
- AI native startups are built with AI from their inception, born in the era of generative AI. For these young, small companies, AI isn’t a feature or strategy, but a foundation for organization and operation. They simply would not exist without AI.
Legacy companies can also deliberately transform and reimagine core functions and operations to model an AI-native approach. They could answer the question: If we had to start over with AI at the core, what would this workflow, model, or business look like?
Each of these cultures represents how an organization works with AI and to what end. Not every business is meant to traverse each of the AI cultures. For example, AI follower, AI forward, and AI first companies could evolve into AI native companies, in parts. Each part would be completely reimagined, from scratch, with AI at the core.
AI follower companies could evolve into AI forward companies by adopting a more ambitious AI business reinvention agenda. The approach would explore opportunities to partner AI and human workers and reinvent work toward greater productivity, capacity, and outcomes.
For example, ServiceNow has demonstrated an AI-native mindset by acting as customer zero running its own business on the ServiceNow AI Platform. Rather than layering AI onto existing processes, teams have rebuilt core workflows around it.
In IT, AI and machine learning drive self-healing systems that detect problems, diagnose causes, and act without human intervention. This has contributed to a 58% reduction in critical outages.
In customer support, AI-guided workflows and virtual agents have cut median time to relief by 44%, and 65% of employee issues are now solved through self-service. The results are significant: $139 million in cost avoidance and an 18% improvement in revenue per employee. The freed time and money go back into innovation and people.
One employee with no coding background built an app in 32 hours that gave back his team an estimated 1,900 hours previously spent on manual work. That time is now redirected to higher-order work.
It’s OK not to be an AI-native company today. The crucial first step is to diagnose where your AI culture stands and begin evolving it to better meet the moment.
Each of the four AI cultures represents a different level of adaptation, from AI follower organizations (largely continuing legacy ways of thinking and working) to AI native ones that reimagine from the ground up with AI at the center.
This is why the extent to which you implement AI in your organization won't guarantee success. It’s just as important to understand the leadership mindset guiding the company.
AI forward companies treat AI as another tool to implement to do the same work under the same operating model.
AI natives ask, “What becomes possible when we build with AI at the core, not as an add-on to yesterday’s models?” By asking the right questions and reimagining how work gets done, these organizations are truly adapting to the AI era and using AI to transform their businesses.
AI follower legacy companies risk extinction if they continue business as usual in the face of this innovation.
In this fast-evolving era of agentic Darwinism, adaptation cannot be a one-time decision. It needs to be part of a culture that guides and evolves your organization. With the proper mindset, every leadership decision becomes an opportunity to ask the pertinent questions and start imagining what’s now possible thanks to AI.
Whether you're an AI follower company today or already reimagining your business as an AI native, the question isn't which label fits you right now. It's whether you're building the muscle to keep evolving as the landscape continues shifting.
Survival of the fittest has never been about brute strength. It’s always been about adapting to fit the moment. In the AI era, what are you doing to survive and thrive? Is your AI culture helping you get there?
Get more insights to start shifting your AI culture in our report: AI Cultures & Agentic Darwinism.
Special thanks to Jeremiah Owyang, general partner at Blitzscaling Ventures, for his collaboration on this article.
