የ AI ችሎታዎችን ለመጨመር ሰራተኞች የ LinkedIn ታሪኮችን እንደገና እየጻፉ ነው ሲል ቢዝነስ ኢንሳይደር ዘግቧል።

ምን ተፈጠረ

Business Insider reports that workers are retroactively editing old LinkedIn job titles and descriptions to add terms such as “AI,” “GPT,” “LLM,” and “artificial intelligence.” The report attributes the findings to a new, non-peer-reviewed National Bureau of Economic Research working paper based on monthly snapshots of 29.4 million U.S. profiles collected by Revelio Labs from August 2020 through January 2026.

Business Insider reports that the underlying NBER working paper examined monthly snapshots of 29.4 million U.S. LinkedIn profiles. The profiles were collected by labor-market data firm Revelio Labs between August 2020 and January 2026. The paper’s authors included Stanford economist Nicholas Bloom and researchers at Stanford and Revelio Labs. Because the paper is non-peer-reviewed, its methods and conclusions have not yet passed formal peer review according to the report. The large sample gives the analysis broad coverage of public professional-profile changes, but the supplied source does not provide the paper’s full methodology, statistical tables, or a separate replication.

Business Insider says that nearly one-fifth of the accounts in the study had retroactively changed the title or description of a job they had already left. Since ChatGPT’s release in late 2022, the paper reported that retroactive additions of terms including “AI,” “GPT,” “LLM,” and “artificial intelligence” to previous roles rose more than sixfold. The report describes this as workers going back to revise their professional histories and notes that the researchers called the practice “time travel.” The evidence concerns changes to profile language; it does not establish that the workers’ underlying duties changed or that they began using AI only when the terms were added.

The pattern varied by industry. Business Insider reports that 31.6% of workers in technology and information had retroactively edited an old role, compared with a study-wide rate of 19.7%. The reported rates were 25% in arts, entertainment, and recreation and 24.1% in professional, scientific, and technical services. The median edit occurred more than four years after the job ended. The report says these changes often happened when workers were preparing to move jobs, which the researchers interpreted as a possible signal of what applicants believe employers want. The source does not say how many profiles were edited more than once or how the researchers identified job-search timing.

The same analysis found changes in other kinds of language. Business Insider reports that workers became less likely to add terms such as “remote,” “work from home,” and “WFH” to past roles. By the end of 2025, additions and deletions of those terms were occurring at roughly similar rates, a shift the report says coincided with return-to-office mandates. The paper also found a sharp decline in additions of “diversity,” “equity,” “inclusion,” and “DEI” at the beginning of 2025, coinciding with executive orders targeting DEI programs. The supplied material reports these timing relationships but does not establish that the policy changes directly caused individual profile edits.

የምንጭ ዝርዝሮች: businessinsider.com ↗

ለምን አስፈላጊ ነው።

The findings suggest that professional profiles are changing records of past work as workers respond to shifting employer preferences. They also show why LinkedIn data should not automatically be treated as a stable historical record of when people acquired or used AI skills.

The most important implication is that a professional profile can be a moving interpretation of the past rather than a fixed historical record. Business Insider reports that the paper estimated a 2026 snapshot would overstate the prevalence of AI-related skills in 2022 by about 30%. In practical terms, a researcher studying older profiles could mistake later wording changes for evidence that AI skills were already commonly documented at the earlier date. That matters for labor-market analysis, hiring research, and any attempt to measure when AI capabilities spread through occupations.

The findings also offer evidence about how workers respond to changing labor-market signals. The paper’s authors wrote that workers modify résumés to reflect what they believe employers want to hear. The reported increase in AI language may therefore measure both genuine experience and strategic presentation. A worker might be adding detail that was previously omitted, translating existing tasks into terminology that is more attractive to employers, or making a stronger claim about the relevance of past work. The source does not provide enough information to distinguish reliably among those possibilities.

The AI connection is consequential because the reported edits concern how people represent their careers as employers place more value on AI-related capabilities. The study does not show that AI has increased productivity, eliminated jobs, or improved hiring outcomes. It instead documents a change in the language of professional identity. That narrower finding is still useful: if job seekers increasingly describe old work through an AI lens, employers and researchers may need to evaluate the underlying tasks, evidence of competence, and dates of experience rather than relying on keyword counts alone.

ከርቀት ሥራ እና ከ DEI ቃላት ጋር ያለው ንጽጽር የመገለጫ ቋንቋ በአንድ ሰው ሥራ ላይ ለሚደረጉ ለውጦች ብቻ ሳይሆን ለሰፋፊ ተቋማዊ እና ፖለቲካዊ ለውጦች ምላሽ መስጠት እንደሚችል ያሳያል። ቢዝነስ ኢንሳይደር የርቀት ቋንቋ ስርዓተ-ጥለትን ወደ ቢሮ የመመለስ ግዴታዎች እና የDEI ቋንቋ ስርዓተ-ጥለትን ከአስፈፃሚ ትዕዛዞች ጋር ያገናኛል፣ እነዚያን ግንኙነቶቹ በጥናቱ ወቅት የተከሰቱ መሆናቸውን ሪፖርት ያደርጋል። ይህ የሚያሳየው ወደ ኋላ የሚመለከቷቸው መገለጫዎች የታሰቡትን መልካም ስም ወይም የቅጥር ማበረታቻዎችን ሊያንፀባርቁ እንደሚችሉ ነው። ሰራተኞች የርቀት ስራን ወይም የDEI ልማዶችን እንደተዉ አያረጋግጥም ወይም እያንዳንዱ ስረዛ የእምነት ወይም የልምድ ለውጥ እንደሚያመለክት አያረጋግጥም።

ቀጥሎ ምን እንደሚታይ

The supplied report does not independently confirm the paper’s findings through a separate dataset or study. Important unknowns include how many edits reflect previously omitted experience rather than new claims, whether employers reward the changes, and whether the pattern continues as demand for AI-related skills evolves.

ዋናው የሚቀጥለው እርምጃ የ NBER የስራ ወረቀትን በገለልተኛነት መመርመር ነው። የቀረበው ሪፖርት የመረጃ ቋቱን እና ሰፊ ጊዜን ይለያል ነገር ግን ራሱን የቻለ ማባዛት፣ የናሙና ገደቦች ዝርዝር መለያ ወይም የመገለጫ ለውጦች ከቅጥር መዝገቦች ጋር መረጋገጡን የሚያሳይ ማስረጃ አይሰጥም። የአቻ ግምገማ ወይም የተለየ ትንታኔ በማህደር የተቀመጡ መገለጫዎችን፣የስራ መጠበቂያ መረጃዎችን፣የስራ ማመልከቻዎችን ወይም የአሰሪ መዝገቦችን በመጠቀም የተዘገበው ስርዓተ-ጥለት ጠንካራ መሆኑን እና በዩናይትድ ስቴትስ ውስጥ ካሉ ከLinkedIn ተጠቃሚዎች በላይ መሆኑን ሊፈትሽ ይችላል።

ተመራማሪዎች እና አሰሪዎች ከ AI ጋር የተገናኘ ቋንቋ እንዴት እንደሚገለፅ እና እንደሚተረጎም መመልከት አለባቸው። “AI”፣ “GPT”፣ “LLM” እና “አርቴፊሻል ኢንተለጀንስ” የሚሉት ቃላት ከአጠቃላይ ዓላማ መሳሪያ እስከ ሞዴሎችን እስከመገንባትና መገምገም ድረስ የተለያዩ እንቅስቃሴዎችን ሊገልጹ ይችላሉ። ጥናቱ የቴክኒካል ሞዴል ልማትን ከመደበኛ የስራ ቦታ አጠቃቀም መለየቱን ወይም ብቃትን አለመለካቱን ምንጩ አልገለጸም። ያለዚያ ልዩነት፣ እየጨመረ የሚሄደው የቁልፍ ቃል ስርጭት እንደ የሰለጠነ AI ባለሙያዎች ቁጥር ቀጥተኛ መለኪያ ተደርጎ መታየት የለበትም።

የቅጥር አሰራር ሌላው ክትትል የሚደረግበት ቦታ ነው። ሪፖርቱ የኋላ ኋላ AI የቃላት አወጣጥ የቃለ መጠይቅ ዋጋዎችን ፣ ማካካሻዎችን ፣ ማስተዋወቂያዎችን ወይም የስራ ምደባን ያሻሽላል አልተናገረም። እንዲሁም ቀጣሪዎች የተጋነኑ ወይም ግልጽ ያልሆኑ የይገባኛል ጥያቄዎችን መለየት ይችሉ እንደሆነ አያረጋግጥም። የቁልፍ ቃል ለውጦች የአሰሪውን ፍላጎት ብቻ የሚከተሉ ወይም በቅጥር ውሳኔዎች ላይ ተጽዕኖ ያሳድራሉ የሚለውን ለመወሰን ተጨማሪ ማስረጃዎች ያስፈልጋሉ። ተግባራዊ ግምገማ እጩዎችን በሰፊው AI መለያዎች ላይ ከመታመን ይልቅ የተወሰኑ ተግባራትን፣ መሳሪያዎችን፣ ውጤቶችን፣ እና ውጤቶችን እንዲያብራሩ ሊጠይቅ ይችላል።

በመጨረሻም, የወደፊት ቅጽበተ-ፎቶዎች በጥንቃቄ መተርጎም አለባቸው. የጋዜጣው ዘገባ የ2026 ዕይታ የ2022 AI-ክህሎትን ስርጭት በ30% ሊበልጠው እንደሚችል ያሳያል፣የታሪካዊ ዳታሴቶች ቅጂ ሊያስፈልጋቸው ስለሚችል በኋላ ላይ የተደረጉ አርትዖቶች የቀድሞ መዛግብትን እንዳይፅፉ። የቀረበው ምንጭ የአሰሪ ምርጫዎች ከተቀያየሩ የኋለኛው አርትዖቶች ፍጥነት እንደሚቀጥል፣ ቀርፋፋ ወይም ተቃራኒ እንደሆነ ክፍት ያደርገዋል። እንዲሁም ተመሳሳይ ቅጦች በሌሎች አገሮች፣ ሙያዎች፣ ሙያዊ ኔትወርኮች፣ ወይም ይፋዊ የመስመር ላይ መገለጫዎችን በማይጠብቁ ሰራተኞች ላይ ይታዩ እንደሆነ የማይታወቅ ነገር ያደርጋል።

ተዛማጅ መመሪያዎች እና ጥያቄዎች