The Speed of A.I. and the Strain on Teams
The early days of generative artificial intelligence brought a decisive edge to companies that adopted foundation models quickly. But the time when this was the key to success is rapidly vanishing. Now, the tools are more powerful, more widely available, and in many cases, either free or low cost. The real advantage is no longer about having the best model. It's about the ability to build around it, use it effectively, and scale with it in a way that competitors cannot match.
New research by McKinsey highlights just how fast the A.I. revolution is unfolding. For startups aiming to reach $10 million in annual revenue, the average time needed has dropped from 38 months in 2023 to 31 months in 2025. Almost half of the companies studied noted that A.I. allowed them to execute tasks up to five times faster. But this speed comes at a cost. As companies grow and scale more quickly, a new challenge arises: leadership must keep up with the pace, or they risk losing momentum, talent, and strategic clarity.
In past tech cycles, the transition from a small team of 10 to a workforce of 100 could take five years. That gave leaders time to learn from their mistakes, build trust with their teams, and refine their management style. Today, the same growth might happen in just 18 months. There's little room for trial and error, little space for leaders to develop their skills in real time. The gap between what a founder can do and what the company needs them to do becomes immediately visible. Founders who can't adapt quickly may see talent walk out the door and their company stall before it can reach its full potential.
When Expansion Outpaces Control
Consider the case of a deep-tech entrepreneur based in Singapore. Within 18 months, they expanded their operations into six new markets across Southeast Asia. The A.I. tools available to them allowed for rapid expansion, but their ability to manage that growth did not keep up.
Of those six markets, four struggled to perform. The problem was not a lack of strategy, resources, or market demand. Instead, it stemmed from a flawed assumption: that simply hiring local leaders would be sufficient to drive success. The founder underestimated how much personal involvement was needed to build a shared culture, set expectations, and establish trust in each new region.
In the two markets where expansion succeeded, the founder took a different approach. They offered higher compensation to attract exceptional leaders, invested significant time in supporting those leaders, and personally explained the company's decision-making process, standards, and expectations. This was not just about delegation. It was about modeling the company’s values through action and giving local leaders the confidence to replicate that behavior. Only after these leaders had internalized the company's culture and way of working did the founder step back.
Values and guiding principles don’t take root simply by being written down in a document. They take shape when they are lived out by the people who carry them forward. When a founder leaves the room, the team must already be aligned with the company's purpose and equipped to maintain it in their everyday actions.
What A.I. Can’t Scale
In the race to outperform competitors, the companies that succeed are not necessarily those with the most advanced models. Instead, they are the ones building something much harder to replicate: strong, coherent organizational culture. This means ensuring that even as teams expand across different geographies, they still operate under the same values and principles.
One way to test whether a company truly has a strong culture is to ask: Can 70 percent of the organization clearly explain the company’s values? Do their decisions reflect those values in practice? If the answer is no, then the culture of the company becomes whatever the founder and leadership choose to do on any given day. Without shared understanding, culture becomes inconsistent and unstable.
When growth accelerates faster than a company’s culture can evolve, problems begin to surface. Teams in different regions start making decisions in different ways. Standards vary. Accountability becomes unclear. The organization risks breaking down from within.
This is not a problem limited to one founder or one company. startups, the key to sustained success is not just product quality or access to the latest models. It's whether the leadership can match the speed of the technology and build a team and culture that can scale with it.