Key Takeaways
- Workers are increasingly “time‑traveling” on LinkedIn, retroactively adding AI‑related terms to past jobs while removing remote‑work and DEI language.
- The practice surged six‑fold after the launch of ChatGPT in late 2022, with AI keywords appearing in roughly one‑fifth of all profiles examined.
- Technology and information sectors show the highest rate of retroactive edits (31.6 %), far above the overall average of 19.7 %.
- By the end of 2025, additions of remote‑work descriptors (“remote,” “WFH”) balanced deletions, mirroring a wave of return‑to‑office mandates.
- Mentions of diversity, equity, inclusion (DEI) fell sharply in early 2025, coinciding with President Donald Trump’s executive orders targeting DEI programs.
- Researchers warn that a 2026 LinkedIn snapshot would overstate the prevalence of AI skills in 2022 by about 30 % if taken as a static record.
The Rise of Retroactive AI Skill Claims
Since the public release of ChatGPT in November 2022, U.S. workers have been actively rewriting their LinkedIn histories to showcase AI expertise. According to a National Bureau of Economic Research (NBER) working paper by Stanford economist Nicholas Bloom and co‑authors from Stanford and Revelio Labs, “the number of retroactive additions of terms such as ‘AI,’ ‘GPT,’ ‘LLM,’ and ‘artificial intelligence’ to previous roles has risen more than sixfold.” The study examined monthly snapshots of 29.4 million LinkedIn profiles from August 2020 through January 2026, finding that nearly a fifth of those accounts had altered the title or description of a job they had already left.
What the Data Show About “Time Travel”
The authors dub this behavior “time travel” and label the participants “time travelers” because they are “going back to revise roles they had already left.” The median edit occurred more than four years after the job ended, suggesting that workers are not merely correcting recent oversights but are deliberately reshaping older experiences to align with current market demands. As the paper notes, “Expertise in artificial intelligence becomes increasingly common to retroactively add to résumés.” This trend is especially pronounced in tech‑heavy industries: 31.6 % of workers in the technology and information sector had retroactively edited an old role, followed by arts, entertainment, and recreation (25 %) and professional, scientific, and technical services (24.1 %).
Why Workers Are Editing Their Profiles
The researchers argue that these edits serve as a signal of what workers believe employers want to hear. “Workers modify their résumé to reflect what they believe employers want to hear,” the paper states. When preparing to change jobs, individuals often reframe past projects using buzzwords that are currently in demand. Adding AI terminology does not automatically imply exaggeration; workers may be detailing accomplishments they previously omitted or translating existing work—such as data analysis or automation—into language that resonates with hiring managers seeking AI fluency.
The Decline of Remote‑Work Language
Parallel to the AI surge, the study documents a retreat from remote‑work descriptors. Terms like “remote,” “work from home,” and “WFH” were added less frequently over time, and by the end of 2025 the rate of additions roughly equaled the rate of deletions. This shift coincides with a broad wave of return‑to‑office mandates issued by many employers during 2024‑2025. As the authors observe, workers are “becoming less likely to add remote‑work language … to past roles,” suggesting they are tailoring their profiles to fit a workplace culture that increasingly values on‑site presence.
DEI Terminology Falls Out of Favor
The paper also highlights a sharp drop in the use of diversity, equity, and inclusion (DEI) terminology. At the beginning of 2025, additions of words such as “diversity,” “equity,” “inclusion,” and the acronym “DEI” fell dramatically, a timing that aligns with President Donald Trump’s January 2025 executive orders targeting federal DEI programs. The researchers note that this decline “coincides with a wave of return-to-office mandates,” indicating that broader political and organizational pressures are influencing how workers present their backgrounds online.
Implications for Interpreting LinkedIn Data
Because profiles are constantly being rewritten, the authors caution against treating a single LinkedIn snapshot as a definitive historical record. They estimate that a 2026 snapshot would overstate the prevalence of AI‑related skills in 2022 by roughly 30 % if taken at face value. In other words, “the job is the same, but the way they talk about it has changed.” This “time travel” effect means that researchers, recruiters, and policymakers must account for retrospective self‑presentation when using LinkedIn data to infer skill trends or labor‑market shifts.
Broader Takeaways for Employers and Job‑Seekers
For employers, the findings suggest that reliance on self‑reported LinkedIn skills may inflate perceptions of AI readiness in the workforce. Candidates, meanwhile, appear to be strategically curating their digital resumes to match the evolving language of job postings—emphasizing AI while downplaying remote work and DEI credentials when those fall out of favor. As the labor market continues to adapt to generative AI, remote‑work policies, and shifting corporate diversity initiatives, the practice of retroactively editing professional histories is likely to persist, making longitudinal analysis of online profiles both richer and more complex.
Quoted excerpts are drawn directly from the NBER working paper described above.
https://www.businessinsider.com/linkedin-users-add-ai-skills-jobs-drop-remote-work-terms-2026-8