Research analysis
Analysis: a quarter of the working week disappears into manual tasks
AI Cubed
August 9, 2026
7 min
Smartsheet surveyed workers on where their time goes and found that more than 40% spend at least a quarter of their working week on manual, repetitive tasks — with email, data collection and data entry taking the largest share. That is the published finding, and it belongs to Smartsheet.
What follows is our analysis: what a quarter of a week actually looks like inside an operations-heavy business doing $10M or more, where we consistently find the hours, and how to put a defensible number on them before anyone builds anything.
What the finding actually says
The headline is easy to misread. Smartsheet's figure is not that 40% of all work is manual — it is that more than 40% of workers lose at least a quarter of their own week to manual, repetitive tasks. The distinction matters, because it tells you the problem is concentrated in roles, not smeared evenly across an organisation.
In practice that means you can find it. There will be specific people, in specific seats, doing specific repeated things — and those are the seats to audit first.
Our reading: where the hours actually go
Across the operations we have mapped, the same four categories account for most of the loss.
- Re-keying: the same record typed into two or three systems because nothing connects them.
- Chasing: following up internally for an approval, a document, or a status that no system tracks.
- Rebuilding: a report assembled by hand every week from exports that could be joined once.
- Triaging: someone reading inbound email or forms and deciding where each one goes.
None of these are the job. They are the connective tissue between parts of the job, and they exist because the systems on either side were bought at different times for different reasons.
Putting a number on it
A quarter of a 40-hour week is 10 hours. Multiply by the number of people in affected seats, then by a fully loaded hourly cost, then by 48 working weeks. For a 30-person operation where a third of the team sits in those seats, that is roughly 4,800 hours a year — before you count the errors that manual re-entry introduces downstream.
per affected person, per week — the practical shape of the Smartsheet figure
We use the same arithmetic in our savings calculator so the number is yours, not ours, and can be argued with.
What we do about it
Discovery first. We sit with the work, follow the handoffs, and time them — because a self-reported estimate of hours lost is almost always wrong in both directions. Then we build only against the handoffs that are frequent, stable, and rule-based, and we run them afterwards so they don't quietly rot.
- Name the three highest-frequency handoffs in the operation.
- Time them for two weeks rather than estimating them.
- Automate the one with the cleanest inputs first.
- Instrument it, so next quarter's number is measured rather than claimed.
Frequently asked questions
This page is AI Cubed's own analysis of independently published research. The underlying study belongs to its publisher, credited and linked in full below.
Sources
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