Staffing firms using AI see double revenue growth, report says
MASSACHUSETTS, UNITED STATES — AI-driven recruitment is rapidly reshaping the global staffing industry, with firms using artificial intelligence (AI) twice as likely to report revenue growth last year, according to a new industry report.
According to a report from Bullhorn, the findings highlight how automation is becoming central to hiring strategies as companies race to improve efficiency, speed, and candidate experience in a tightening labor market.
AI adoption accelerates across staffing industry
The recruitment sector is entering 2025 with strong momentum toward digital transformation.
According to Bullhorn’s GRID 2025 Industry Trends Report, “top-performing firms are 57% more likely to be in advanced stages of digital transformation compared to those that lost revenue in 2024.”
The report points to AI and automation as key drivers behind that gap.
“2025 is the year that AI becomes mainstream for the staffing industry,” said Jason Heilman, SVP of Product – Automation & AI at Bullhorn.
“Our customers are already using AI to handle sourcing, matching, personalized messaging, screening and scheduling and seeing an impact across their entire recruitment workflow,” Heilman added.
Heilman added that recruiters are now spending more time building relationships and improving placements.
“Customers are attracting higher-quality talent and filling more jobs, faster. It’s a win-win-win,” Heilman said.
The report shows AI adoption is spreading quickly, with more than two-thirds of staffing firms either using, building, or experimenting with AI tools.
Nearly half are already applying AI to sort resumes and identify top candidates more efficiently. Search-and-match systems are emerging as a standout innovation, helping firms maintain a competitive edge in talent acquisition.
Automation reshapes hiring speed and candidate experience
Beyond adoption, AI is fundamentally changing how fast firms can hire. Recruiters currently spend an average of 14.6 hours per week searching for candidates, a major productivity burden that firms are increasingly trying to eliminate.
The report estimates that autonomous search and matching tools could save recruiters about 4.5 hours weekly, while automation in screening and administrative tasks could save another 3.6 hours.
Altogether, AI could return up to 17 hours per recruiter each week, allowing staffing teams to focus more on client engagement and revenue-generating work.
The impact is also visible in hiring expectations. According to industry data cited in the report, 80% of candidates expect placement within 20 days, and AI-powered firms are significantly more likely to meet that timeline.
Faster placements and improved job matching are directly linked to stronger financial performance, with AI-enabled firms nearly twice as likely to see revenue gains.
However, challenges remain. About 36% of firms still cite data quality issues as a barrier to fully maximizing AI, underscoring the need for better data management and system integration.
As staffing firms continue to integrate AI into core operations, the industry is steadily moving toward a future where recruiters act less as administrators and more as strategic talent advisors—reshaping the future of work in real time.
