Momentum Is the Moat: Why Speed Matters More Than Ever in the AI Era
February 4, 2026
For a long time, the advantage in professional services was familiar: brand, relationships, experience, and time in market. If you showed up consistently, did good work, and avoided mistakes, clients stayed. Scale helped. Geography helped. Institutional knowledge helped.
Those advantages still matter. They just don’t compound the way they used to.
What I’m seeing now is a widening gap between firms that move quickly and firms that don’t. Not because one group is smarter or more strategic, but because speed itself has become a differentiator.
Momentum is starting to function like a moat.
Speed, in practice, doesn’t mean rushing decisions or chasing every new tool. It means shortening the distance between seeing something new and testing it in the real world. It means identifying a bottleneck, piloting a solution with an actual client or team, deciding whether it works, and either scaling it or moving on.
That cycle matters more than the tool itself.
Last quarter, we ran a full-day hackathon with one of our AI partners. Engineers sat alongside our teams and focused on specific, everyday bottlenecks. By the end of the day, we had a dozen working concepts. Within a week, three were live. Within a month, we had eliminated hundreds of hours of manual work across the firm.
There was no strategy deck. No white paper. No long-term roadmap. Just people close to the work, solving problems that mattered.
At that point, AI stopped being a strategic conversation and became an operational one.
This shift has implications beyond internal efficiency. CFOs and business owners already have a clear sense of what’s possible. They see automation and AI reshaping customer service, engineering, and legal work. Expectations don’t reset when they walk into a finance meeting.
When they realize one firm can move faster than another—can implement, adapt, and improve in real time—relationships that once felt stable become more fragile than leaders expect. I’ve seen long-standing relationships change quickly once that gap becomes visible.
The firms responding well aren’t forming task forces or debating adoption timelines. They’re building labs. They’re putting strong operators into the technology, not evaluating it from a distance. They’re treating pilots as live experiments, with the assumption that some will fail and a few will matter a lot.
That posture creates momentum. Momentum attracts talent. It builds confidence internally. And over time, it becomes hard to replicate.
A useful question right now isn’t whether a firm has an AI strategy. It’s what actually changed last week. What moved faster. What got simpler. What no longer requires the same amount of effort.
The firms making progress today will look obvious in hindsight. Most won’t.
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