Billable Utilization Hit a Record Low in the Same Year AI Use Rose Forty Percent

Two numbers from the same benchmark moved in opposite directions, and the one that improved is the one firms report.

Across 509 professional services organizations employing more than 245,000 consultants and representing close to $63 billion in services revenue, billable utilization fell to 66.4 percent. That is down from 68.9 percent the year before and the lowest level in the benchmark’s history. In the same period, revenue growth improved from 4.6 percent to 5.2 percent.

Both facts are true and only one of them tends to reach a partner meeting. Revenue grew. The share of paid time that produced that revenue fell to a record low.

What the number is actually counting

Billable utilization is the proportion of available consultant hours that are billed to a client. It is not a productivity score and it is not a measure of how hard anyone worked. It measures how much of the capacity a firm is already paying for reaches an invoice.

At 66.4 percent, roughly a third of paid professional time is not being billed. Some of that is legitimate and necessary: business development, training, internal work that has to happen. The question a firm has to answer is what share of the remainder is administrative overflow, which is to say work that consumes a billable person because no system was carrying it.

The benchmark draws on 165 tracked measures across those 509 organizations, which makes the direction of travel harder to dismiss as a sampling artifact. It is not one firm having a difficult year.

Revenue improving while utilization falls is a specific condition

These two lines separating tells you something precise. A firm growing revenue while billing a smaller share of its people’s time is converting less of what it pays for into what it charges for. Growth is arriving through rate, through mix, or through headcount, rather than through the existing team billing more of its week.

That works while demand holds. It is expensive when demand softens, because the cost base was sized for a level of billable output the firm is no longer achieving. Average EBITDA across the benchmark sat at 9.9 percent, which is not a margin with much room in it for a structural decline in billable share.

Run the arithmetic on a fifty-person firm. Moving billable utilization from 66.4 percent back to the prior year’s 68.9 is 2.5 points across fifty people, which is roughly one and a quarter full-time equivalents of billable capacity recovered without hiring anyone. At the same headcount cost. That is the size of the prize hiding inside a number most firms track quarterly and act on rarely.

The AI year that did not show up in the utilization line

Here is the part worth sitting with. In the same year utilization hit its record low, generative AI was used in 27.1 percent of projects, a 40 percent increase on the prior year. Attrition ran at 11.4 percent, so this was not a workforce in upheaval.

Firms adopted AI at pace and the share of billable time did not improve. The most likely explanation is not that the tools failed. It is that they were applied to the billable work, which was never the constraint, rather than to the administrative work that consumes billable people. A consultant using AI to draft faster still loses the afternoon to chasing documents, reconciling a project record across systems, and assembling a status report by hand.

Applying capability to the part of the day that was already productive does not change the ratio. It makes the productive part faster and leaves the unproductive part exactly where it was.

How CXO Solves This

The work sitting between 66.4 percent and something better is mostly not client work at all.

Financial Back-Office Operations takes the invoice and document handling, matching, reconciliation and compliance documentation that currently lands on people whose hours are supposed to be billable. This is the largest single category of non-billable time in most firms of this size, and almost none of it needs professional judgment.

Reporting and Intelligence Automation removes the other reliable consumer of senior hours: assembling project and engagement reporting by hand from systems that do not agree. When the numbers are already reconciled, the report is a byproduct rather than an afternoon.

Neither of these makes anyone bill more hours. They change what a person’s paid day is spent on, which is the only mechanism by which a utilization ratio actually moves.

The benchmark will be run again next year. A firm that adds AI to its delivery work and changes nothing about its administration should expect to read the same finding: growth that arrived some other way, and a billable share that did not recover.

In most operations, far more work can be automated than leadership realizes. One discovery call is enough to size what automating it would return to your bottom line. Book it at https://cxocorporation.com/contact.