About one in four US organizations now uses AI in recruiting, and recruiting is the single most common place AI shows up in HR. SHRM’s State of AI in HR 2026 report, based on a December 2025 survey of 1,908 HR professionals, found 39% of organizations use AI somewhere in HR and 27% use it in recruiting. Individual recruiters use it far more: 77% of HR leaders in HireVue’s 2026 survey use AI weekly or daily.
The bigger story in 2026 is trust. In Greenhouse’s late-2025 survey, 70% of hiring managers said AI helps them make faster, better decisions, while only 8% of job seekers said AI makes hiring fairer. Candidates are using AI just as hard to apply, and about two in three US job seekers have now sat through an AI interview.
Below are the most reliable AI in recruiting statistics we could verify, each tied to a named survey with its sample size and date. Where surveys disagree, we show why.
Key takeaways
- 27% of organizations use AI in recruiting, the top HR use case; 39% use AI anywhere in HR (SHRM, Dec. 2025 survey, published Mar. 2026).
- 84% of talent acquisition leaders planned to use AI in 2026, and 52% planned to add autonomous AI agents to their teams (Korn Ferry, Oct. 2025).
- Recruiting teams using generative AI save about 20% of their work week, roughly one full day (LinkedIn Future of Recruiting 2025).
- 70% of hiring managers trust AI to help them decide faster and better; 8% of job seekers say AI makes hiring fairer (Greenhouse, Nov. 2025).
- 63% of US job seekers have been interviewed by AI, 70% were not told beforehand, and 38% have quit a hiring process over it (Greenhouse, May 2026).
- Applications per recruiter rose 411.8% from 2022 to 2025 while recruiting team sizes fell 55.6% (Greenhouse benchmark of 640 million applications, Mar. 2026).
- AI hiring rules now apply in New York City, Illinois and California; Colorado’s starts January 1, 2027, and the EU’s high-risk rules start December 2, 2027.
How many companies use AI in recruiting in 2026?
It depends on who you ask and how the question is worded. Organization-level surveys of HR departments land between 27% and 51%. Surveys of individual HR leaders and recruiters, who often use general tools like ChatGPT on their own, run much higher. Forward-looking “plan to use” numbers are higher still.
| Survey | Who was asked | Sample, date | Finding |
|---|---|---|---|
| SHRM State of AI in HR 2026 | US HR professionals | 1,908, Dec. 2025 | 39% use AI in HR; 27% in recruiting; 46% expect to use AI in HR in 2026 |
| SHRM 2025 Talent Trends | US HR professionals | 2025 | 51% use AI to support recruiting; 89% of those say it saves time or raises efficiency |
| LinkedIn Future of Recruiting 2025 | Recruiting managers and up, 23 countries | 1,271, Sep. 2024 | 37% integrating or experimenting with generative AI, up from 27% a year earlier |
| HireVue 2026 Global AI in Hiring | Global hiring managers | 3,100+, 2026 | 77% of HR teams use AI regularly (weekly or daily), up from 54% in 2024 |
| Korn Ferry TA Trends 2026 | Global talent leaders | 1,670+, Oct. 2025 | 84% plan to use AI in 2026; 52% plan to add AI agents |
| Resume Builder | US business leaders | 948, Oct. 2024 | 51% use AI in hiring; 68% expected to by end of 2025 |
| Resume.org | US workers who know their company’s hiring | 1,399, Aug. 2025 | 57% of companies use AI in hiring; 74% plan to increase use |
SHRM’s 2026 data also shows a big size gap. About 60% of companies with 5,000 or more employees had put AI into HR, compared with about a third of small and midsize employers. SHRM found 7 of the top 10 AI uses in HR are recruiting tasks, while only 1% of organizations use AI for inclusion and diversity work.
What do recruiters use AI for, and how much time does it save?
Writing is still the top job. Among organizations using AI for recruiting, about two-thirds use it to write job descriptions (SHRM 2025). Resume screening is a close second: in Resume Builder‘s survey of AI-using companies, 82% used it to review resumes and 40% used chatbots to talk to candidates.
The time savings are real but smaller than vendor claims. LinkedIn found teams using generative AI save about 20% of their week, and they put that time back into screening candidates (35%) and assessing skills (26%). LinkedIn’s platform data also shows companies whose recruiters use AI-assisted messages the most are 9% more likely to make a quality hire than those using it least.
| AI in recruiting outcome | Figure | Source |
|---|---|---|
| Average time saved by teams using generative AI | About 20% of the work week | LinkedIn, 2025 |
| HR pros using AI in recruiting who say it saves time | 89% | SHRM, 2025 |
| Quality-hire edge for heaviest AI-assisted messaging users | +9% | LinkedIn platform data, 2025 |
| TA pros who think AI can improve how they measure quality of hire | 61% | LinkedIn, 2025 |
| Staffing firms saying AI screening alone improved KPIs by over 25% | 55% | Bullhorn GRID, Feb. 2026 |
| Staffing firms saying AI cut screening time in half or better | 46% | Bullhorn GRID, Feb. 2026 |
| Change in monthly hires per recruiter, 2022 to 2025 | +122.3% | Greenhouse benchmark, Mar. 2026 |
Why recruiters are turning to AI: the application flood
The clearest driver is volume. Greenhouse’s March 2026 Hire Standard benchmark, covering more than 6,000 organizations and 640 million applications, found applications per job more than doubled from about 115 in 2022 to 244 in 2025. Applications per recruiter grew more than fivefold while recruiting teams shrank. Much of the extra volume is itself AI-made, which Greenhouse calls an “AI doom loop”: candidates mass-apply with AI, employers filter with AI, and trust drops on both sides. For more on how this affects job seekers, see our ghost job statistics and job search statistics.
Do employers and candidates trust AI in hiring?
Employers trust it far more than candidates do. In Greenhouse‘s November 2025 survey of 4,136 people in the US, UK, Ireland and Germany, 70% of hiring managers said AI helps them make faster and better decisions, but only 8% of job seekers said AI makes hiring fairer. In the US, 46% of job seekers said their trust in hiring fell over the past year, and 42% blamed AI directly. Gartner found just 26% of candidates trust AI to evaluate them fairly, even though 52% believe AI screens their applications.
Public opinion was already skeptical before most of these tools existed. A Pew Research Center survey of 11,004 US adults (December 2022, published April 2023) found 71% oppose employers using AI to make final hiring decisions, and 66% would not want to apply for a job where AI helps decide who is hired.
How common are AI interviews?
AI interviews went mainstream in about a year. In Greenhouse‘s 2026 Candidate AI Interview Report, a survey of 2,950 active job seekers published May 1, 2026, 63% of US candidates had been interviewed by AI, up 13 points in six months. Disclosure is the weak point: 70% were not clearly told beforehand, and just 18% said employers had clear AI policies. Candidates are not asking for less AI, though: only 19% wanted less of it. Most wanted a human option and a human check before decisions.
Staffing candidates report better experiences. In Bullhorn’s 2026 GRID Talent Trends Report (September 2026, nearly 2,300 people who worked with a staffing firm), 69% had encountered AI through their staffing firm and 81% rated it positively. Bullhorn says 92% rated AI voice interviews as good as or better than human interviews.
How many job seekers use AI to apply?
Most of them. HireVue’s 2026 report found 71% of candidates use AI to write resumes and 64% for cover letters, both up about 15 points from 2025. Some go further: 41% of US job seekers in Greenhouse’s survey admitted hiding prompt injections, invisible text meant to fool AI screeners, in their applications. On the employer side, 65% of hiring managers said they have caught applicants using AI deceptively, from AI-written scripts to deepfakes.
Fraud is now a hiring cost. Gartner found 6% of candidates admit to interview fraud, such as having someone else sit the interview, and predicts one in four candidate profiles worldwide will be fake by 2028 (Staffing Industry Analysts). Gartner also found 62% of candidates are more likely to apply when an employer requires in-person interviews, and offer acceptance fell from 74% in 2023 to 51% in 2025.
Does AI reject candidates without a human looking?
Often, yes. Two US surveys a year apart show most companies using AI in hiring let it reject at least some candidates with no human review, usually at the resume stage. Only about a quarter keep a person on every rejection.
| Who reviews AI rejections | Resume Builder (Oct. 2024) | Resume.org (Aug. 2025) |
|---|---|---|
| AI rejects at any stage with no human review | 21% | 35% |
| AI rejects only at the initial resume screen | 50% | 39% |
| A human reviews every rejection | 29% | 26% |
| Worry AI screens out qualified candidates | 56% | 57% |
AI agents and staffing firms
Agentic AI, tools that take multi-step actions on their own, is the next wave, but few firms run it end to end. Korn Ferry found 52% of talent leaders planned to add autonomous agents in 2026, yet only 22% thought their leaders could manage mixed human and AI teams. Among staffing firms, Bullhorn found just 10% had agentic AI across their full workflow. Firms growing revenue more than 25% were far more likely to have AI built into their ATS (78%) than firms whose revenue fell more than 10% (51%), per Bullhorn. For practical setups, see how technical recruiters can use automation to work faster.
| Staffing and agency AI metric | Figure |
|---|---|
| Top-performing staffing firms vs. others: likelihood of using AI | 4x more likely |
| Firms with agentic AI across their full workflow | 10% |
| Fast-growing firms (25%+ revenue growth) with AI in their ATS | 78% |
| Shrinking firms (revenue down 10%+) with AI in their ATS | 51% |
| Highest-growth firms with average placement time under 10 days | 56% |
| Candidates who encountered AI through a staffing firm | 69% |
| Of those, rating the AI experience positively | 81% |
Korn Ferry’s talent leaders also ranked critical thinking as their top hiring priority (73%), with AI skills fifth. The tools are spreading faster than the skills to run them.
AI hiring laws and lawsuits in 2026
There is no federal AI hiring law in the US, but existing discrimination law applies, and a patchwork of state and city rules is now in force. Here is where the main rules stand as of October 14, 2026.
| Jurisdiction | What it requires | Status |
|---|---|---|
| New York City (Local Law 144) | Annual independent bias audit of automated hiring tools, public audit summary, 10 business days’ candidate notice | In force since July 2023. A December 2025 state comptroller audit called enforcement ineffective: the city found 1 violation among 32 companies; auditors flagged at least 17 |
| Illinois (HB 3773) | Bans AI use that discriminates or uses zip codes as a proxy; requires notice when AI is used in hiring and other job decisions | In force since Jan. 1, 2026; state notice rules not yet final |
| California (Civil Rights Council regulations) | Applies anti-discrimination law to automated decision systems; record keeping for 4 years | In force since Oct. 1, 2025 |
| Colorado (SB 26-189) | Pre-use notice, an adverse-action and human review process, and 3 years of records | Replaced the 2024 AI Act in May 2026; takes effect Jan. 1, 2027 |
| European Union (AI Act) | Hiring AI is “high-risk”: risk management, human oversight, logging, transparency | High-risk rules delayed to Dec. 2, 2027 by Regulation (EU) 2026/1744 |
The case to watch is Mobley v. Workday, which claims Workday’s AI screening tools discriminated by age, race and disability. A federal court authorized nationwide notice to applicants aged 40 and over in February 2026, and on June 22, 2026 largely denied Workday’s motion to dismiss the latest complaint. No court has found that discrimination occurred, and Workday denies the claims. The practical lesson for employers is that buying a tool from a vendor does not move the legal risk to the vendor.
What these AI recruiting statistics mean for engineering and IT hiring
The data points the same way for technical roles. AI is good at clearing volume: writing job ads, scheduling, and sorting hundreds of resumes for an entry-level role. It is weaker where engineering and IT hiring is hardest. Senior and specialized candidates are rarely in the inbound pile, keyword screens miss people whose titles do not match, and 38% of candidates will walk away from a process that feels automated.
- Keep a human on every rejection for skilled roles. Only about a quarter of companies do, and that is where qualified engineers get screened out.
- Tell candidates when AI is used. 70% of AI interviewees were not told, and 57% think disclosure should be the law. In Illinois and New York City, notice is already required.
- Ask vendors for bias audit results. Mobley v. Workday shows both the employer and the vendor can face claims.
- Use AI for volume, people for persuasion. Offer acceptance fell to 51% (Gartner). Closing in-demand engineers still takes a conversation.
For the hiring market behind these trends, see our engineering shortage statistics and AI jobs statistics. If you need engineers, CAD designers or IT professionals and want a recruiter who talks to candidates, tell us about the role.
AI in recruiting statistics we no longer use
Many widely shared figures on this topic trace back to statistics aggregator sites with no original survey behind them. Earlier versions of this page included some of them. We removed numbers we could not tie to a named survey, sample and date, including claims that 87% to 99% of companies use AI in hiring, that AI cuts hiring bias by 60%, and two market-size estimates that contradicted each other. Every figure above links to or names its original source.
Frequently asked questions
What percentage of companies use AI in recruiting?
SHRM’s 2026 report found 27% of US organizations use AI in recruiting and 39% use it somewhere in HR. Other surveys put company-level use near 51% to 57%, and 77% of individual HR leaders use AI weekly or daily (HireVue, 2026).
Is AI used to reject job applicants?
Yes. In a 2025 Resume.org survey, 35% of companies using AI let it reject candidates at any stage without human review and 39% let it reject at the resume screen. Only 26% have a human review every rejection.
Do candidates trust AI in hiring?
Mostly no. Gartner found 26% of candidates trust AI to evaluate them fairly, and Greenhouse found only 8% of job seekers think AI makes hiring fairer.
Is it legal to use AI in hiring?
Yes, but discrimination law still applies, and New York City, Illinois and California have specific rules on audits, notice or records. Colorado’s law starts January 1, 2027. Check with employment counsel for your situation.
Methodology and sources
We used only surveys and reports that publish who was asked, how many people responded and when. Vendor research (Greenhouse, HireVue, Bullhorn, Resume Builder) is labeled as such; these companies sell hiring products or services. Survey results describe what respondents reported and are not directly comparable across surveys. Legal status was checked against law firm and government sources as of October 14, 2026. This page will be updated as new data is released.
- SHRM, The State of AI in HR 2026 (1,908 HR professionals, Dec. 2025)
- LinkedIn, The Future of Recruiting 2025 (1,271 recruiting professionals, Sep. 2024, plus platform data)
- Korn Ferry, 2026 Talent Acquisition Trends (1,670+ talent leaders, Oct. 2025)
- HireVue, 2026 Global AI in Hiring Report (3,100+ hiring managers)
- Greenhouse, 2025 AI in Hiring Report (4,136 respondents, Nov. 2025)
- Greenhouse, 2026 Candidate AI Interview Report (2,950 job seekers, May 2026); Greenhouse Hire Standard benchmark (Mar. 2026)
- Gartner candidate surveys (2,918 to 3,290 candidates, 4Q 2024 to 2Q 2025)
- Bullhorn, 2026 GRID Industry Trends and 2026 GRID Talent Trends reports
- Resume Builder (Oct. 2024) and Resume.org (Aug. 2025) hiring surveys
- Pew Research Center, AI in Hiring and Evaluating Workers (11,004 US adults, Dec. 2022)
