Workers Add AI Skills to Old LinkedIn Jobs as Remote Terms Fade

Retroactive résumé editing reveals job market priorities

Nearly 20% of US LinkedIn users have gone back to edit the title or description of jobs they've already left, according to new research analyzing 29.4 million profiles. The practice, which researchers call "time travel," has accelerated dramatically since late 2022, with workers adding AI-related terms to past roles at six times the previous rate.

The findings come from a National Bureau of Economic Research working paper authored by Stanford economist Nicholas Bloom and researchers at Stanford and Revelio Labs. The study examined monthly profile snapshots collected by labor-market data firm Revelio Labs from August 2020 through January 2026.

Since ChatGPT's release, additions of terms including "AI," "GPT," "LLM," and "artificial intelligence" to previous job descriptions have surged. Meanwhile, workers have become less likely to add remote-work language such as "remote," "work from home," and "WFH" to past positions. By the end of 2025, workers were adding and deleting these terms at roughly equal rates, a shift that aligned with widespread return-to-office mandates.

Industry patterns and timing

The practice varies significantly by sector. Technology and information workers lead the trend, with 31.6% having retroactively edited an old role—well above the overall rate of 19.7%. Arts, entertainment, and recreation followed at 25%, with professional, scientific, and technical services at 24.1%. The median edit occurred more than four years after the job ended.

The research also documented a sharp decline in additions of diversity, equity, inclusion, and DEI terminology beginning in early 2025, coinciding with executive orders targeting DEI programs.

What the edits mean

The researchers note these changes often occur when workers prepare to switch jobs, making them a potential indicator of perceived employer preferences. However, the edits don't necessarily represent exaggeration. Workers may be adding previously omitted details or reframing existing responsibilities using language they believe will resonate with hiring managers.

"Workers modify their résumé to reflect what they believe employers want to hear," the authors wrote.

Why it matters

These retroactive edits create a moving target for anyone trying to understand workforce skill development over time. The paper estimates that a 2026 LinkedIn snapshot would overstate the prevalence of AI-related skills in 2022 by approximately 30%. For companies using historical LinkedIn data to track talent trends or skill evolution, this represents a significant measurement challenge. The findings also suggest that LinkedIn profiles should not be treated as fixed historical records but rather as dynamic documents that reflect current job market pressures as much as past experience.

The details were first reported in the National Bureau of Economic Research working paper.