At most contracting firms, the AI conversation is happening at the wrong level.
It is happening among the people who are curious enough to experiment on their own. The estimator who found a better way to work through scope documents. The project manager who started using AI to handle correspondence. The BD person who stopped dreading the blank page. These people are figuring things out, and what they are figuring out is genuinely useful. But they are operating without direction, without a shared framework, and without any real connection to how the firm is run. Which means what they are building stays personal.
Leadership, meanwhile, is often watching from a distance. Interested, maybe. Aware that something is happening in the industry. But not yet treating AI as a business decision that requires direct attention and ownership the way they would treat any other decision with real implications for margins, people, and competitive position.
That distance is the single biggest reason AI momentum stalls in contracting firms. Not the tools. Not the team. Not the complexity of the technology. The absence of a clear signal from the top that this is a direction the firm is actually going, what it means specifically, and what the expectation is.
This is not a criticism. Principals and owners are running projects, managing relationships, watching cash flow, dealing with the hundred things that demand attention on any given day. AI does not arrive with a deadline or an invoice. It arrives as a possibility, and possibilities are easy to defer when everything else is pressing.
But the deferral has a cost that is starting to show up. Firms that have made AI institutional are getting faster and more consistent in areas where speed and consistency affect outcomes. Their estimators are working through more opportunities with the same headcount. Their project managers are spending less time on administrative work and more time on the job. Their BD teams are producing better materials faster and showing up to conversations with a clearer story about what the firm has done and why it matters. These are not dramatic transformations. They are incremental advantages that compound, and they are being built right now by firms that decided to lead this rather than wait for it.
Leadership ownership of AI in a contracting firm does not require becoming a technology expert or commissioning a lengthy planning process. It requires making a clear decision about where AI fits in the firm’s priorities, communicating that with enough specificity that people know what is expected, and staying engaged with how it is actually going.
The right questions to be asking are not technology questions. Where are we losing time we should not be losing? Where is our information inconsistent in ways that hurt our decisions? What would it mean for this firm to show up differently in business development, and what would we need to build to get there? AI can help answer those questions, but only if someone with authority has decided they are worth asking.
The firms getting the most out of AI right now are also the ones where leadership was honest about what needed to be in place before the tools could perform. If processes are fragmented and project data is inconsistent, AI reflects that back faster. It does not resolve it. That kind of clarity has to come from the top, because it requires decisions about how work is supposed to be done that only leadership can make.
The firms that treat this as a business decision, with the specificity and follow-through that any serious business decision deserves, are the ones that will build something durable. The ones still waiting for the right moment will find that the moment passed while they were busy with everything else.
That decision belongs to leadership. It always has.