Free tool

The AI Recruiting ROI Calculator.

Enter your hiring baseline, software costs, and implementation budget to estimate first-year net savings, ROI, and payback. Every impact benchmark is drawn from our sourced Index and shows its confidence tier and primary source. No invented multipliers, no signup.

Your hiring today

Hires per year

Cost per hire

All-in: sourcing, screening, agency fees. Edit to your own figure.

Time to fill

Market median is 39 days.

Recruiters on your team

Your AI investment

Enter the costs from your quote or budget that your cost per hire does not already include. Until you do, the results show savings before AI costs.

Annual software and running costs

Licenses, usage fees, and ongoing support. All amounts in USD.

One-time implementation cost

Setup, integration, and training, paid upfront.

AI impact, from the Index

Each slider starts at the figure our Index publishes, with its confidence tier and source shown. These are industry benchmarks, not a guarantee. Dial each one to what you expect.

Recruiter workload reduction

Verified20%

Share of a recruiter's routine workload that generative AI takes off their plate, freeing time for higher-value work.

0%40%

Recruiters using generative AI report a 20% drop in workload, equivalent to recovering one full workday every week.

Benchmark default (2025): LinkedIn (Future of Recruiting 2025)

Cost-per-hire reduction

Reported30%

How much AI trims the all-in cost of making a hire (sourcing time, screening labor, agency spend).

0%70%

The average return organizations actually get, alongside about 31% faster hiring, well below the up-to-70% ceiling vendors advertise, though these figures are widely cited but lack a confirmable primary study.

Benchmark default (2026): InCruiter (2026)

70% is the ceiling vendors advertise; the reported average organizations actually see is closer to 30%.

Time-to-hire reduction

Reported40%

How much faster roles close when AI screening feeds a human-led final interview.

0%50%

Combining AI screening with human-led final interviews is reported to cut time-to-hire by 40% while improving retention, though the figure lacks a confirmable primary study.

Benchmark default (2026): SelectSoftware Reviews

Your projected impact

Estimated from your inputs and the cited benchmarks above.

$70,500

Estimated annual savings before AI costs

If your AI tools cost less than this in year one, setup included, they pay for themselves.

Add the costs from your quote to see first-year net savings, ROI, and payback.

$3,290

Cost per hire before AI fees

Down from $4,700

23 days

New time to fill

16 days faster per role

1 day

Reclaimed per recruiter each week

Time back for higher-value work

138

Recruiter-days a year, team-wide

Across 3 recruiters

How the return is calculated

Gross savings = annual hires × current cost per hire × expected cost reduction.
First-year net savings = gross savings minus annual running costs and implementation.
First-year ROI = net savings ÷ total first-year AI costs × 100, shown once you enter a cost above $0.
Payback = upfront implementation cost ÷ monthly savings after running costs.
Break-even: AI costs below gross savings in year one, setup included, pay for themselves within that year.

Assumes steady hiring and full savings from month one, with running costs spread evenly over 12 months. Excludes ramp-up delays, taxes, and discounting. Reclaimed recruiter time is capacity, not additional cash savings, and is not added to the return.

How you compare

Your 39-day time to fill sits right on the market median.

Median time to fill, nonexecutive roles: 39 daysSHRM (2025)
Applications per hire: 291Ashby (2026)
Hires per recruiter per quarter: 7.3Ashby (2026)

Get the benchmarks behind this.

Join The Talent Market Pulse for the monthly read on hiring costs, speed, and the data that moved, with a source under every figure.

This tool produces an estimate for planning, not a guarantee. The cost and time levers are figures the industry reports (they lack a confirmable primary study); the recruiter-workload figure is verified. Your results will vary with role mix, tooling, and process. Every default links to its primary source.

01How this is built

Every assumption shows its source.

Most recruiting ROI calculators multiply your inputs by numbers they never show you. This one starts every AI-impact lever at the exact figure our research Index publishes, with an honest confidence label attached. The recruiter-workload lever is verified against its primary source; the cost and time levers are figures the industry reports, which we flag as such. You can move any lever, and every default links to where the number came from.

Read the methodology Browse the sources

02Questions

AI recruiting ROI, answered.

Understand the return calculation, its assumptions, and the research behind the defaults.

Does the calculator include the cost of AI software?

Yes. Enter annual software and running costs plus one-time implementation costs from your quote or budget. First-year net savings subtract both from projected gross hiring savings, ROI divides that net amount by total first-year AI costs, and payback measures how long savings after running costs take to recover implementation. Until you enter costs, the calculator shows savings before AI costs, which is also the most your AI tools can cost in year one, setup included, and still pay for themselves. The model assumes savings start immediately and accrue evenly, and does not count reclaimed recruiter time as extra cash savings.

How much can AI reduce cost per hire?

Organizations that add AI to recruiting report cutting cost per hire by about 30% on average, alongside roughly 31% faster hiring (InCruiter, 2026). Vendors advertise up to 70%, but the reported real-world average sits near 30%. These are widely cited figures without a confirmable primary study, so treat the result as a planning range, not a guarantee, and dial the calculator to your own expectation.

How much faster is hiring with AI?

Pairing AI screening with a human-led final interview is reported to cut time to hire by about 40% (SelectSoftware Reviews, 2026). For context, the market median time to fill a nonexecutive role is 39 days (SHRM, 2026), down from 44 the year before, so a 40% cut would move a median role to roughly 23 days.

What is a good cost per hire and time to fill benchmark?

The most widely used speed benchmark is a 39-day median time to fill for nonexecutive roles (SHRM, 2026); technical roles run about 15 days longer (Ashby). It now takes roughly 291 applications to make one hire (Ashby, 2026), tripled from about 100 in early 2021, which is why screening cost dominates the equation. Cost per hire varies widely by role and market, so the calculator treats it as your own editable input.

How does AI free up recruiter time?

Recruiters using generative AI report a 20% drop in workload, the equivalent of recovering one full workday every week (LinkedIn Future of Recruiting, 2025). That is the verified figure the calculator uses to estimate the recruiter capacity your team reclaims.

How reliable are these numbers?

Every default in the calculator is drawn from The AIRecruiter.co Index and carries an honest confidence label: verified (confirmed against the primary source), reported (widely cited, no confirmable primary study), or modeled (an estimate). The recruiter-workload figure is verified; the cost and time levers are reported. Each one links to its primary source, and you can adjust every lever. See our methodology for how we source and label every figure.

Is this calculator free?

Yes. It is free, needs no account, and takes no payment. It is published by AIRecruiter.co, the independent research index for the talent economy.

03Go deeper

The research behind the numbers.

AI Recruiting Statistics 2026: The Definitive Index→Time-to-Hire Benchmarks 2026→The State of AI Recruiting 2026→The AIRecruiter.co Index→

The Talent Market Pulse

The numbers that moved, once a month.

A monthly read on the talent market for talent leaders, agency operators and investors: the newest research and the data points that shifted, with a verifiable source under every one.

Read the October 2026 issue →