There’s a particular kind of energy in the room right now.
Leadership teams across professional services — law firms, consulting practices, financial advisory groups — are waking up to AI. The board is asking questions. Clients are mentioning it. A competitor just announced something. And so the call goes out: we need to move, and we need to move now.
The energy is real. The urgency is legitimate. The direction, however, is often pointed the wrong way — especially if the goal is not just AI adoption, but lasting AI advantage.
When AI Adoption Follows the Same Map
Here’s what “moving fast” on AI tends to look like in practice: scan what competitors are doing, identify the most visible use cases, launch a handful of initiatives, and announce progress.
It makes sense. It feels strategic. You’re not standing still. You’re not being left behind.
Recent headlines about Kirkland & Ellis committing $500 million to build its own proprietary AI platform have understandably caught attention across the legal industry. Phones started ringing. Boards started asking. The message received in many firms was simple: we need to do something, and fast.
But the useful lesson is not the size of the investment. Most firms are not going to replicate that move, and most should not try.
What matters is the strategic logic underneath it. Kirkland is not simply deploying the same commercially available tools as everyone else. It is attempting to build technology around its own institutional knowledge — something competitors cannot easily license, purchase, or copy.
That is the part worth paying attention to.
Because much of what gets called “moving fast” is really a version of following the same map: the same use cases, informed by the same benchmarks, aimed at the same benchmarks. At best, you match the field. At worst, you invest significantly to arrive at parity with firms that started earlier, know more, and are already moving to the next thing.
Following the leaders is a reasonable strategy in a stable market. In a market where the rules are genuinely being rewritten, it can become a way to remain permanently one step behind.
The Question Worth Asking First
There is a different starting point — one that is easy to skip when the pressure to act is high.
Not: What are other firms doing with AI?
But: What are our clients actually trying to achieve — and could we help them get there in a way no one else can?
This reframe sounds simple. It is not. It requires resisting the pull of competitive benchmarking and sitting with a harder, more generative question: What does your specific client base genuinely struggle with? Where do they lose time, money, confidence, or clarity? What outcomes matter most to them that they cannot reliably get today?
Those answers — not competitor announcements — are where real differentiation begins.
For professional services firms, AI advantage will not come from generic adoption. It will come from applying AI to client problems in ways that are specific, valuable, and difficult to copy.
What AI Advantage Looks Like Going Forward
The firms that stand out in the next few years will not necessarily be the ones that adopted AI fastest. They will be the ones that used AI to deliver something clients could not get anywhere else.
That is a meaningful distinction.
Speed of adoption is a race you run against competitors. Value creation is a race you run toward your clients.
Used narrowly, AI will push firms toward a difficult form of competition: doing familiar work faster and defending that it should still command the same fee. Speed may create value, but it does not automatically create advantage.
The smarter question is not simply about doing what you already do faster or more cheaply. It is doing something more valuable.
And clients, it turns out, are less impressed by what tools you use and more by whether you understand their situation deeply, move with real insight, and consistently help them achieve what they set out to accomplish.
AI is just the vehicle. The destination is still determined by how well you understand where your clients need to go.
The Honest Constraint — and Why It Can Become an Advantage
None of this means your existing capabilities, data, and infrastructure do not matter. They do — enormously.
Knowing what you can genuinely deliver with what you have today is not a limitation on ambition. It is the foundation of a credible strategy.
Before investing in the next AI initiative, leaders might ask a more demanding set of questions:
- Is this solving a problem clients genuinely care about?
- Does it build on knowledge, data, relationships, or workflows that are specific to our firm?
- Would it be difficult for another firm to copy quickly?
- Can we actually deliver it well with the capabilities we have — or can realistically build?
If the answer is yes, the initiative may do more than create activity. It may become the beginning of a real AI advantage.
These questions are harder than What is Firm X doing? They take longer to answer. They require honest conversation with clients, an unbiased assessment of your own capabilities, and a willingness to design something original rather than replicate something proven.
But they are also the questions that lead somewhere worth going.
A Different Kind of Leadership Move
There is a version of AI leadership that looks impressive from the outside — busy, bold, full of initiatives — but is essentially reactive. It responds to the market rather than shaping it.
And then there is the version that may look quieter in the short term but compounds over time: starting with the client, understanding what they truly need, building something genuinely differentiated, and executing with enough discipline to actually deliver it.
The first version is easier to announce. The second is harder to copy.
The goal is not to look active in the AI race everyone is watching. It is to build an advantage that clients can feel and will notice.
This is the first in a series of posts exploring how professional services leaders can build sustainable AI advantage. The next post will focus on how to start: building momentum and confidence through focused, high-value initiatives rather than broad simultaneous action.