We already have AI features in our ATS. Does that count?

Only if your recruiters actually use them. Buying the license is not adoption. Bullhorn's data tracks firms that put AI into daily work, not firms that own the software. Pull your usage reports. If fewer than half your recruiters touched an AI feature last month, you are in the bottom half no matter what you paid for.

Where should a firm start if it uses no AI today?

Start with sourcing and screening. Those two tasks eat the most recruiter hours and give the fastest payback. Pick one desk, turn on AI matching and resume screening for 30 days, and measure time-to-submit before and after. One desk, one metric, 30 days. Then expand what works.

Is the revenue gap about AI, or about the firms that were already winning?

Both, but that does not let you off the hook. Strong firms adopt faster because they run tighter operations. The point is that AI is now widening the distance between them and everyone else. Waiting does not shrink the gap. It grows it every quarter you sit still.

The AI Revenue Gap in Staffing Is Real and Growing

Firms using AI are now 3.5 to 4.5 times more likely to have grown revenue, up from 25-40% a year ago. Meanwhile 46% of agencies use no AI at all. That is the widest performance gap in staffing right now, and it is closable this quarter.

Firms that use AI are now 3.5 to 4.5 times more likely to have grown revenue. That is the headline number from Bullhorn's 2026 GRID data, and it should stop you cold.

One year ago that same edge sat at 25 to 40 percent. So in twelve months the advantage did not inch up. It multiplied. AI went from a modest tailwind to the clearest dividing line in the industry.

And here is the part that makes it actionable. Even with numbers that stark, 46 percent of agencies still use no AI at all. Almost half the market is standing on the wrong side of the widest performance gap in staffing.

If you run a firm or an ops seat inside a PE portfolio, this is the easiest win on your desk right now. Not the flashiest. The easiest. The tools exist, the payback is fast, and half your competitors have not moved.

Why the Gap Is Growing, Not Shrinking

Most people assume that as software gets cheaper and easier, the laggards catch up. The opposite is happening in staffing.

Firms that adopted AI early are on their second and third round of gains. Their recruiters learned the tools, cleaned up their data, and built AI into the daily workflow. Each quarter they get faster at sourcing, screening, and candidate follow-up. The compounding is real.

Meanwhile the firms that skipped it are not standing still. They are falling behind at the speed the leaders are pulling ahead. That is why 40 percent became 350 percent in one year.

The gap grows because AI advantages stack. A recruiter who saves two hours a day on screening does not just work less. She submits more candidates, fills more reqs, and books more revenue. Multiply that across a 30-person team and you get a firm that is running a completely different race.

What the Bottom Half Is Actually Getting Wrong

The firms stuck at zero AI usually share the same three mistakes. None of them are about money.

1. They confuse owning the software with using it

Plenty of firms in the no-AI group actually pay for AI features. They just never turned them on. The license sits in the ATS while recruiters keep sourcing by hand.

Adoption is the whole game. Buying the tool and skipping the rollout gives you the cost with none of the growth. Pull your usage reports this week. If your recruiters are not clicking the AI buttons, you own shelfware, not a strategy.

2. They wait for the perfect plan

Owners tell me they want a full AI roadmap before they touch anything. So they wait. They read, they attend a webinar, they ask three vendors for demos, and six months disappear.

You do not need a roadmap to start. You need one desk and one task. AI screening on a single busy desk for 30 days tells you more than any strategy deck. Start small, measure, then scale what works. The plan gets written by the results.

3. They let fear of replacement kill the conversation

Recruiters hear AI and think layoffs. Leaders who dodge that fear end up with quiet resistance that stalls every rollout.

The honest message works better. AI takes the boring parts of the job, the resume sorting and the data entry, so recruiters spend more time on calls and relationships. The firms winning with AI are not cutting headcount. They are getting more out of the team they already have. Say that out loud and often.

Where AI Actually Moves Revenue in Staffing

Skip the theory. Here is where AI pays off fastest, in the order I tell clients to attack it.

Sourcing. AI matching surfaces qualified candidates from your existing database in seconds. Most firms are sitting on 50,000 records they never touch. AI turns that dead data into live pipeline.
Screening. Automated resume screening and AI-drafted screening questions cut the time from req to first submit. This is the single biggest hour-saver on the recruiting side.
Candidate engagement. AI-powered texting and email follow-up keep candidates warm without a recruiter babysitting an inbox. Faster response times win placements.
Back-office automation. Timesheet chasing, onboarding paperwork, and invoice matching all run faster with automation. This is where PE portfolios find margin without touching sales.

Notice what is not on that list: replacing your recruiters. Every one of these takes work off their plate so they can do the part machines cannot, which is building relationships and closing deals.

The Math for PE-Backed Portfolios

If you sit in a portfolio ops seat, the GRID data is a value-creation lever you can pull across every holding.

Say you have six staffing companies in the portfolio and three use no AI. Those three are 3.5 to 4.5 times less likely to grow revenue than the leaders in your own book. That is not a market problem. That is a rollout problem, and rollout problems are fixable.

Standardize on one AI approach across the portfolio. Pick the two use cases with the fastest payback, sourcing and screening, and run the same 30-day pilot at each firm. You get comparable data, faster adoption, and a growth story you can show at the next board meeting.

Do This Week

Pick one desk. Your busiest one, with a recruiter who is open to trying something new.

Turn on AI matching and resume screening for that desk only. Write down two numbers before you start: average time-to-submit and submits per week. Run it for 30 days, then check the same two numbers.

If they move, you have proof. Roll it to the next desk. If they do not, you spent 30 days and one license to learn something real, which beats another six months of waiting.

The revenue gap is not going to close on its own. Every quarter you wait, the firms already using AI get further ahead. One desk, 30 days, two numbers. Start there.

The AI Revenue Gap Is Real and Growing: What Bottom-Half Staffing Firms Get Wrong