Cite this article

@article{vol4issue1towhatextentdoesindustrylevelexposuretogenerativeaiinfluencewagegrowthtrendintheusservicesectorindustriesduringtheearlyadoptionperiod20232025,
  title = {To What Extent Does Industry-Level Exposure toGenerative AI Influence Wage Growth Trend in the U.S. Service-Sector Industries During the Early Adoption Period (2023–2025)?},
  author = {Kedia, Krisha Nikhil},
  journal = {Hong Kong International Journal of Research Studies},
  volume = {4},
  number = {1},
  pages = {4--12},
  doi = {10.64180/octopus.412602},
  issn = {3078-4018}
}

TY  - JOUR
AU  - Kedia, Krisha Nikhil
TI  - To What Extent Does Industry-Level Exposure toGenerative AI Influence Wage Growth Trend in the U.S. Service-Sector Industries During the Early Adoption Period (2023–2025)?
JO  - Hong Kong International Journal of Research Studies
VL  - 4
IS  - 1
SP  - 4
EP  - 12
DO  - 10.64180/octopus.412602
AB  - <p><span style="background-color:rgb(255,255,255);color:transparent;font-family:sans-serif;font-size:16.2119px;"><span style="-webkit-text-stroke-width:0px;cursor:text;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;left:93.7553px;letter-spacing:normal;margin:0px;orphans:2;padding:0px;position:absolute;text-align:start;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;top:402.457px;transform-origin:0% 0%;transform:scaleX(0.927711);white-space:pre;widows:2;word-spacing:0px;">This  paper  investigates  the  impact  of  GenAI  on  the  US  labour</span><span style="-webkit-text-stroke-width:0px;cursor:text;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;left:551.317px;letter-spacing:normal;margin:0px;orphans:2;padding:0px;position:absolute;text-align:start;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;top:402.457px;transform-origin:0% 0%;transform:scaleX(0.914049);white-space:pre;widows:2;word-spacing:0px;">market,  especially  in  the  service  sector  based </span><span style="-webkit-text-stroke-width:0px;cursor:text;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;left:93.7553px;letter-spacing:normal;margin:0px;orphans:2;padding:0px;position:absolute;text-align:start;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;top:421.013px;transform-origin:0% 0%;transform:scaleX(0.992995);white-space:pre;widows:2;word-spacing:0px;">industries with varying level of exposure, during the critical early adoption window of January 2023 till January </span><span style="-webkit-text-stroke-width:0px;cursor:text;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;left:93.7553px;letter-spacing:normal;margin:0px;orphans:2;padding:0px;position:absolute;text-align:start;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;top:439.764px;transform-origin:0% 0%;transform:scaleX(0.976105);white-space:pre;widows:2;word-spacing:0px;">2025. The impact is measured in terms of relation between industry level exposure and growth i</span><span style="-webkit-text-stroke-width:0px;cursor:text;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;left:763.096px;letter-spacing:normal;margin:0px;orphans:2;padding:0px;position:absolute;text-align:start;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;top:439.764px;transform-origin:0% 0%;transform:scaleX(0.948779);white-space:pre;widows:2;word-spacing:0px;">n realized wage. </span><span style="-webkit-text-stroke-width:0px;cursor:text;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;left:93.7553px;letter-spacing:normal;margin:0px;orphans:2;padding:0px;position:absolute;text-align:start;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;top:458.515px;transform-origin:0% 0%;transform:scaleX(0.941576);white-space:pre;widows:2;word-spacing:0px;">Based  on  the  data  of  Pew  Research  and  Stanford  HAI,  this  paper  develops  an  AIOE  (Artificial  Intelligence </span><span style="-webkit-text-stroke-width:0px;cursor:text;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;left:93.7553px;letter-spacing:normal;margin:0px;orphans:2;padding:0px;position:absolute;text-align:start;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;top:477.266px;transform-origin:0% 0%;transform:scaleX(0.924279);white-space:pre;widows:2;word-spacing:0px;">Occupational  Exposure)  index  and  collects  hourly  wage  data  from  the  Bureau  of  Labour  Statistics  across  ten </span><span style="-webkit-text-stroke-width:0px;cursor:text;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;left:93.7553px;letter-spacing:normal;margin:0px;orphans:2;padding:0px;position:absolute;text-align:start;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;top:496.017px;transform-origin:0% 0%;transform:scaleX(0.923947);white-space:pre;widows:2;word-spacing:0px;">service sector based supers</span><span style="-webkit-text-stroke-width:0px;cursor:text;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;left:280.322px;letter-spacing:normal;margin:0px;orphans:2;padding:0px;position:absolute;text-align:start;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;top:496.017px;transform-origin:0% 0%;transform:scaleX(0.942355);white-space:pre;widows:2;word-spacing:0px;">ectors  to co12nduct a cross</span><span style="-webkit-text-stroke-width:0px;cursor:text;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;left:454.599px;letter-spacing:normal;margin:0px;orphans:2;padding:0px;position:absolute;text-align:start;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;top:496.017px;transform-origin:0% 0%;white-space:pre;widows:2;word-spacing:0px;">-</span><span style="-webkit-text-stroke-width:0px;cursor:text;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;left:460.068px;letter-spacing:normal;margin:0px;orphans:2;padding:0px;position:absolute;text-align:start;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;top:496.017px;transform-origin:0% 0%;transform:scaleX(0.946299);white-space:pre;widows:2;word-spacing:0px;">sectional econometric analysis. </span></span></p>
KW  - Generative  AI
KW  - Wage  dynamics
KW  - Labour  Economics
KW  - General  Purpose  Technology
KW  - AI  Exposure
KW  - LLM
SN  - 3078-4018
UR  - https://octopuspublication.com/article/vol-4-issue-1-to-what-extent-does-industry-level-exposure-togenerative-ai-influence-wage-growth-trend-in-the-u-s-service-sector-industries-during-the-early-adoption-period-2023-2025
ER  -