Cobot ROI in New York: Labor Hours, Lease and Payback

How cobot ROI in New York is measured

Cobot ROI in New York is a straightforward comparison. On one side is the labor the robot takes off the work: the hours of handling, palletizing, case packing or machine tending that a person does today. On the other side is the cost of the robot arm, its integration, and the fixed lease payment that finances it. The payback point is the moment the cumulative value of the hours taken over covers that cost, net of the supervision time the robot still needs.

The labor side is valued on the work, not on the job title on the badge. The calculator and the government wage data panel on this page value the hours at the local wage for laborers and freight, stock, and material movers, hand, the occupation whose handling work cobots most often take over. If the people on the line hold a different job, such as a machine operator, the robot takes the laborers and freight, stock, and material movers, hand type of work off their plate, and only that work is valued in the savings range.

Our company integrates and leases commercial robots nationwide, and we run this comparison on each site before anything is quoted. The result is always a range, because the hours, the share of work and the run pattern are measured on your floor and not assumed in advance.

Where the return comes from in New York

Handling work is a large and steady pool of labor. According to the BLS Occupational Outlook Handbook, there were about 6.9 million jobs for hand laborers and material movers in 2025, with projected growth of 4% from 2025 to 2035, about as fast as the average for all occupations. The detailed occupation, laborers and freight, stock, and material movers, hand, carries the BLS OEWS code 53-7062 and is listed at 2,940,300 jobs nationally, with most of those workers employed full time.

This page does not quote a New York employment count, because the research behind it did not confirm one from a BLS page. The local number to trust is the government wage data panel on this page, which shows the local wage for this job. Use it to value the hours, and use your own timesheets to find the hours.

Injury exposure is part of the case, though it is harder to value. According to the BLS industry profile for warehousing and storage, the 2024 total recordable case rate was 4.8 per 100 full-time workers. A robot that takes over repetitive lifting removes that exposure from the tasks it covers, but the size of the benefit at your site has to be estimated from your own incident history.

How the math works: hours, share and lease cost

The core formula is simple. Take the hours per shift that the handling task consumes today, multiply by the share of those hours a robot can realistically take over, value those hours at the local wage for this job, and then subtract the labor that stays in the process, such as supervision, setup and clearing faults.

Share matters more than most people expect. A cobot working one station rarely takes over every minute of a task. Infeed loading, exception handling and changeovers usually stay with people, so the realistic share is the number to test during the assessment, not the theoretical maximum on a spec sheet.

The lease side is a fixed robot lease payment over the lease term, financed through our lease financing programs and quoted after a free site assessment. The payback point moves with both the payment and the hours, so a longer term or a smaller share pushes the return out. The savings range on this page is the calculator's estimate of that comparison for New York, and it narrows once real hours are entered.

What changes the number up or down

Three things move the return most: the hours the work actually takes, the share a robot can take over, and how often the line or floor stops. Steady two shift handling gives a robot more hours to earn back its cost than work that runs in short bursts with long gaps.

Turnover is the staffing factor. According to Instawork's 2025 State of Warehouse Labor Report, a vendor survey, most respondents reported facility turnover below 10%, while a notable share reported rates of 20% or higher. High turnover raises the hidden cost of training and staff time, but it does not replace measuring the hours, and the survey does not describe New York sites.

Some metros show far higher turnover. A 2022 NELP study reported a 124% average turnover for warehouse workers in 2020 in New Jersey counties with Amazon facilities. That is another state and an older year, so treat it as a warning about extremes, not as a New York benchmark.

For planning, this page uses a typical headcount of four people doing this kind of work at one site. That is a placeholder, not a figure verified in the research, so replace it with the number on your own roster before you rely on the comparison.

What is the realistic timeline from assessment to payback?

The timeline runs in stages. First is the site assessment, where our team maps the cell or floor, records the hours, and tests the share a robot can take. Second is the quote, which lists the fixed lease payment, the lease term, and the integration and training terms. Third is deployment and integration, followed by staff training and a go-live period in which the robot runs alongside the existing process.

Payback comes after go-live, once the robot has run long enough for the hours it takes over to cover the lease and integration cost. The length depends on the hours, the share and the term, so the timeline for your site should come from the assessment and the quote, not from a general rule. This page does not give a payback date, because the research behind it did not verify one.

What risks can cut the return, and how do I avoid them?

The main risks are a low share of work the robot can take, unplanned downtime, and a lease that outlasts the hours it pays for. A robot that can only take a small share of a task never reaches payback, so the share has to be tested on real work, not guessed. Downtime is the second risk, because a stopped robot sends the work back to people or stops the line it serves.

Avoid these risks by starting narrow. Pick one cell or one handling task, measure it across a full set of shifts, and sign the lease only after the share holds up. Ask for the service terms in writing, including how quickly a fault is dispatched and how repairs are handled, because the return depends on uptime as much as on hours.

Where does a person still do the work better?

A person still wins where the work changes shape. Exception handling, unusual loads, judgment about a damaged pallet, and quick changeovers between products all favor people. A cobot repeats a fixed motion well and handles variation poorly unless it was set up for that variation.

Adoption is growing, though these figures are global. Engineering News, summarizing IFR robot installation data, reports about 66,000 cobot units installed in 2025, 11% of 603,000 total industrial robot installations. Those are not New York figures, so they show direction, not local demand.

Staff roles change rather than vanish. Operators move toward supervision, quality checks and fault clearing, which is why the training step belongs in the quote and not after go-live.

Common worries about robots on the job

Most worries come from a few predictable misunderstandings. The answers below reflect how the return is measured on a real floor, not how it is sold.

How do I get a precise cobot ROI in New York figure from a free site assessment?

The calculator on this page gives a savings range for New York. A free site assessment replaces that range with a figure for your floor. We map the work area, time the handling tasks, measure the share a robot can take, and check the integration and service needs before any lease terms are set.

Bring your own timesheets, the shift schedule, the staffing count for the task, and a rough sense of how often the line stops. With those, the assessment values the hours at the local wage for this job from the government wage data panel, and the fixed lease payment comes in the quote that follows.

Ask for the range and the assumptions in writing. A quote that does not show the share and the hours behind it is not one you can check against your own records.