Photo via CBS News

How much time does AI save at work? New Census Bureau data breaks it down.

Read the original at CBS News ↗
Cite

Cerullo, M. (2026, September 16). How much time does AI save at work? New Census Bureau data breaks it down. CBS News. https://www.cbsnews.com/news/census-data-ai-workers-time-saved/

Dated when The Aporia collected the article, usually within hours of publication. Check the original for its exact date and byline.

CBS News · collected 2026-09-16 · by Megan Cerullo

Quick Summary

The U.S. Census Bureau reports that about 55% of workers use AI on the job, with one-third finding it cuts task completion time by one to two hours daily. Workers most commonly use AI for tasks like writing and generating ideas; however, while some see immediate efficiency gains (up to four hours saved per task), others may initially experience productivity drops due to learning new technologies. Economists refer to this initial dip followed by long-term productivity growth as the "J-curve" model.
Written by AI on 2026-09-17, from this article's own text only (the story summary below draws on all the coverage).

AI analysis

Story summary

The U.S. Census Bureau recently released data showing that 55% of workers use AI in their jobs, with about one-third reporting it saves them between one to two hours per task. Workers most commonly use AI for searching information or technical help (37%), writing or drafting text (32%), generating ideas (32%), and interpreting, translating, or summarizing information (31%). The data also reveals that one-quarter of employees who reported using AI say the tools shave less than an hour off their task times. This new insight helps quantify how much time AI is actually saving workers in various tasks like writing, conducting research, and handling administrative duties.

Written for “AI Productivity At Work Data” on 2026-11-01, grounded in this article and the 0 other(s) covering the same event.

Story

📰 AI Productivity At Work Data
Technology · 1 article(s) covering the same event.

Compared with similar articles

Nothing to compare against. No article is close enough to this one for the pipeline to have linked or judged the pair.
How this article was measured signals, leaning charts, publisher record, byline, topics and claims

Signals How these are calculated →

Claims extracted
15
sentences that state something as happening or true
Uncertain
20%
3 of 15 hedged ("reportedly", "may", "according to")
Leaning
not political
takes no side on a contested political question
Publisher signals
66/100
CBS News's corrections and hedging, across everything collected from it. Not a measure of accuracy.
Outlets on this story
1
Technology
Same framing elsewhere
1
articles that frame the event the way this one does
Analyzed 2026-09-17 · how these are computed

How this is being covered How these are calculated →

Article leaning vs. publisher reliability
Source leaning vs. consistency

Publisher

CBS News · 4307 article(s) · 6 correction(s) detected
Running correction rate · 6 correction(s)

Who wrote this

Megan Cerullo
30 article(s) here · 1 carrying a prediction
🔮 "Overheating of the bed's electrical components may progress to smoking, sparking, melting, burning, and/or fire," Medline said, according to the FDA alert.
🔮 Advances in artificial intelligence are making it a cinch to create so-called , videos and audio recordings, raising concerns that bad actors could bombard people with hyper-realistic scams and spread disinformation.
🔮 Wendy Mayo knows firsthand how expensive and time-consuming caring for an aging parent can be.
🔮 Walmart said on Wednesday that its "holiday meal basket" this year, which feeds 10 individuals, will cost $35, or $3.50 per person.
🔮 "There's a world of difference between user-authorized agents (Muse, Instinct, Grokbot, etc.) and true unauthorized/rogue agents that could constitute cyberattacks," he said.
🔮 Assuming a family spends $24,000 annually on childcare, it would need to earn roughly $343,000 to remain below the 7% threshold.
🔮 Holiday retail sales this year are expected to top $1 trillion for the first time, according to a forecast from the National Retail Federation.
2026-10-20 · speculative framing · Amazon to hire 300,000 workers for seasonal jobs this year
🔮 Walmart is betting that low prices and discounts will draw cash-strapped Americans into its stores.
🔮 Such certificates or licenses demonstrate "specific skills that will put you ahead of other candidates," she told CBS News.
🔮 Financial security among U.S. employees dropped from 46% to 36% in 2026, its lowest level in seven years, according to a survey of 6,000 U.S. employees by benefits company Willis Towers Watson (WTW).
Also by Megan Cerullo
Nothing else under this byline is closely related to this article, so these are simply their most recent.
All 30 articles by Megan Cerullo →

Topics

Census Census Bureau the Massachusetts Institute of Technology the U.S. Census Bureau

Subjects

Census ORG · 2× Census Bureau ORG · 1× the Massachusetts Institute of Technology ORG · 1× the U.S. Census Bureau ORG · 1×

Narrative

The productivity trajectory, in the shape of the letter J, reflects the period when considerable resources are committed to learning and investing in new technologies, with productivity initially dipping before rising exponentially.
framing: assertive · carried by 1 article(s) · first seen 2026-09-17
🔮 One-quarter of employees who reported using AI at work say the tools shaved less than an hour off the time it would otherwise have taken them to complete a task, according to the Census data.

Claims (15 extracted, 3 hedged)

Artificial intelligence is believed to save workers time by helping them complete their daily tasks. asserted
them → believe → tasks
But just how much more efficient can it make employees? asserted
employees → make → ?
About 55% of workers say they use AI on the job, with about one-third of those reporting it cuts the time they need to complete a given assignment by one to two hours, according to new data from the U.S. Census Bureau. uncertain
they → say → Bureau
How are workers using AI on the job? asserted
workers → use → job
Workers reported turning to AI for help with tasks including writing, generating new ideas, conducting research and completing administrative tasks. asserted
Workers → report → tasks
Here's how they say they most frequently use AI on the job: - 37% use it to search for information or technical help - 32% to write or draft text - 32% to generate ideas - 31% to interpret, translate or summarize information - 27% for administrative tasks - 21% for data analysis or visualization - 16% for tutoring or training - 12% for customer support A smaller share of workers use it to write code, for medical care and to manage logistics or supply chains, according to the Census data. uncertain
share → say → data
The findings are based on a weekly national Census Bureau survey of individuals and households on topics including employment, food and nutrition, and transportation. asserted
findings → base → employment
How much time does AI save workers? asserted
AI → save → workers
One-quarter of employees who reported using AI at work say the tools shaved less than an hour off the time it would otherwise have taken them to complete a task, according to the Census data. uncertain
it → report → data
A smaller share, at 15%, of workers saw even greater efficiency gains, saying that AI cut their workloads by three hours per task. asserted
AI → see → task
An additional 15% said it saved them four hours. asserted
it → say → hours
To be sure, it can take time for employees to learn to use new technology like AI, which can initially add hours to the time required to complete a task. asserted
which → take → task
Research from the Massachusetts Institute of Technology shows that AI adoption in manufacturing initially decreases productivity before ultimately helping workers achieve long-term gains. asserted
workers → show → gains
Economists use the "J-curve" model to explain the phenomenon. asserted
Economists → use → phenomenon
The productivity trajectory, in the shape of the letter J, reflects the period when considerable resources are committed to learning and investing in new technologies, with productivity initially dipping before rising exponentially. asserted
productivity → reflect → technologies
💬Give feedback
🕘History 🎫Support