
Nearly 20% of US workers edit past LinkedIn roles. AI-related additions surged sixfold since ChatGPT's launch, while remote-work and DEI language faded, a new NBER paper found.
Nearly one in five US workers has gone back to edit a job they already left on LinkedIn, and the most common addition since late 2022 is AI-related language, according to a new working paper from the National Bureau of Economic Research.
The study, authored by Stanford economist Nicholas Bloom and researchers at Stanford and Revelio Labs, analyzed monthly snapshots of 29.4 million US LinkedIn profiles collected from August 2020 through January 2026.
Retroactive additions of terms like "AI," "GPT," "LLM," and "artificial intelligence" to past roles have risen more than sixfold since ChatGPT's release, the non-peer-reviewed paper said. The data came from labor-market firm Revelio Labs.
At the same time, workers became less likely to add remote-work language – "remote," "work from home," and "WFH" – to previous positions. By the end of 2025, additions and deletions of those terms were roughly balanced, a shift that tracked with a wave of return-to-office mandates.
The researchers also found a sharp drop in additions of DEI-related terms – "diversity," "equity," "inclusion," and "DEI" – starting in January 2025, coinciding with President Donald Trump's executive orders targeting those programs.
"Workers modify their résumé to reflect what they believe employers want to hear," the authors wrote.
The researchers called the practice "time travel" and those doing it "time travelers," since they are rewriting roles they had already left. The median edit came more than four years after the job ended.
The practice was most common in technology and information, where 31.6% of workers had retroactively edited an old role – well above the study-wide rate of 19.7%. Arts, entertainment, and recreation followed at 25%, and professional, scientific, and technical services at 24.1%.
These edits often happen when workers are preparing to switch jobs, the researchers said, making them a signal of what workers believe employers value.
"Expertise in artificial intelligence becomes increasingly common to retroactively add to résumés," they wrote.
That does not necessarily mean workers are exaggerating their AI experience. They could be adding detail they had previously omitted or reframing existing work in language they think will appeal to recruiters.
The paper also warns against treating today's LinkedIn profiles as a fixed historical record. It estimates that a 2026 snapshot would overstate the prevalence of AI-related skills in 2022 by roughly 30%.
"The job is the same, but the way they talk about it has changed," the researchers wrote.
Prepared with AlphaScala editorial tooling from the source reporting linked above. Indexable analysis may include a cited Alpha Score value. Publishing checks screen each story before release. Educational coverage, not personalized advice.