The robot picked it up. Did it finish the day’s work?

34% can be possible. 0.3% can be cheaper.

Robots can do work accounting for 34% of U.S. working hours, yet are cost-competitive for just 0.3%, estimates Anthropic’s September 30 study. Both shares weight tasks by estimated time and occupation employment. They count neither jobs eliminated nor workers replaced. And ‘can do’ includes work possible only in specially engineered settings.

The distance between those numbers is where a successful movement meets the rest of a working day. A machine can grasp an object beautifully while the economics of getting a finished order out the door remain stubbornly ordinary.

The researchers used O*NET tasks, employment data and Claude-assisted assessments of demonstrated robot capabilities. Claude also estimated task-time shares and costs. These are modeled assessments, not a time-and-motion census of American workplaces.

A robot does not arrive alone

The cost method asks what robots would cost to match a worker’s annual task output. It annualizes hardware and includes deployment expenses and human support. When tasks share machinery, the researchers adjust for duplicated equipment and coordination costs. The accounting unit is completed work, not a robot’s sticker price.

The machine that asks for help

A useful real detail comes from Amazon’s May 2025 account of Vulcan. The company says the warehouse robot can recognize an item it cannot move and ask a person to take over. It describes deployments in Spokane and Hamburg, including work on high storage rows that otherwise require a stepladder. This is Amazon’s description, not an independent cost audit.

That handoff is more interesting than a perfect grab. A person appearing in the process does not, by itself, mean automation has failed. Perhaps the robot removes awkward reaching. Perhaps the person keeps the flow moving. The question is what the combined process now produces, and what it requires.

An eight-hour thought experiment

Consider a deliberately fictional packing shift, unrelated to Vulcan’s actual performance. A person produces 400 checked, packed orders in eight hours. At an assumed all-in labor cost of $25 an hour, labor costs $200, or $0.50 per finished order. Materials are identical in both versions and left out.

Now give a robot the picking step. Assume its full allocated cost is $120 per shift, including equipment, integration, maintenance and energy. Preparing stock, handling exceptions, checking and packing still take four human hours: another $100. If the shift still finishes 400 orders, the combined cost is $220, or $0.55 each.

The grab can be faster while the finished order becomes dearer. In this imagined workflow, packing fixes the output at 400. Speeding up the picker merely puts more items in front of that same bottleneck.

Change one assumption: reorganize the remaining work so it takes three human hours, with quality and output unchanged and no additional costs. The bill becomes $195, or $0.4875 per order. Nothing about the robot’s grip improved. The surrounding work changed. These invented figures explain a mechanism; they do not reproduce the study’s national estimate.

The hour that stays on the payroll

There is a further wrinkle: one hour released from picking is useful time, but it is not automatically an hour removed from payroll. A worker might spend it on another task. That can create value, too; the value depends on what gets done with it. The shift is the story, not just the motion.

A boom measured in boxes shipped

Meanwhile, IFR reported almost 250,000 professional service robot shipments for 2025, up 24%. Its accompanying presentation says the figures come from 238 producers and are not extrapolated to the whole industry; changing samples make comparisons across report editions unsafe. Use IFR’s reported growth, rather than calculating a new rate from last year’s headline.

Even ‘robot’ has boundaries here. IFR’s definitions place autonomous mobile platforms in service robotics and exclude autonomous passenger transport from these statistics. Its shipment total is therefore not an inventory of every kind of machine considered in the U.S. work study.

Rising sales and a narrow economic foothold can coexist. Buyers may concentrate on a few repeatable steps, at sites where volume makes equipment worthwhile. A worldwide equipment count cannot tell us how much of a typical person’s shift has disappeared.

Keep the camera running

The first article in this series followed the wait for a human decision in software review. Here, the unfinished part is physical: the stock to prepare, the exception to resolve, the package still to close. Progress becomes easier to see when the camera stays on after the impressive moment.