Bloomberg Opinion featured new research from Stanford University and Revelio Labs examining how workers revise their employment histories on LinkedIn.
The research found that nearly 20% of established US LinkedIn users edited the titles or descriptions of jobs they had already left. Among tech workers, that figure was nearly one in three.
Read the full article here.
What LinkedIn edits reveal about the labor market
In her August 18, 2026 column, “LinkedIn Users Are Rewriting the Past to Land Their Next Jobs,” Bloomberg Opinion columnist Beth Kowitt looks at what these retrospective changes, which the researchers call “time-travel edits,” reveal about how workers present their experience.
The research also found a rise in words associated with large language model writing in these edits following the launch of ChatGPT, offering another signal of how generative AI is influencing the hiring process.
Revelio Labs provides workforce intelligence built from billions of public employment records, giving researchers, companies, investors, and governments insight into hiring, career paths, skills, compensation, and other labor market trends.
Read the full Bloomberg Opinion column for more on the findings and what LinkedIn profile revisions can tell us about the labor market.
Read the full article: https://www.bloomberg.com/opinion/articles/2026-08-18/linkedin-profile-revisions-are-their-own-form-of-job-market-data
FAQ
How common are retrospective LinkedIn profile edits?
Nearly 20% of established US LinkedIn users edited the title or description of a past job, according to research from Stanford University and Revelio Labs. Among tech workers, the rate was nearly one in three.
What are “time-travel edits”?
The researchers use the term to describe changes people make to job titles or descriptions after they have already left those positions.
What does Revelio Labs measure?
Revelio Labs provides standardized workforce data covering areas including employment, job postings, hiring, compensation, skills, company headcount, and employee sentiment.