Table 4: Correlation between monthly visits of GenAI and Search Engine with other factors

||(1)<br>Cha|(2)<br>tbot|(3)<br>Im|(4)<br>age|(5)<br>Vi|(6)<br>deo|(7)<br>Search|(8)<br> engine|
|---|---|---|---|---|---|---|---|---|
|Dependent variable|ln(Visits)|ln(Visits)|ln(Visits)|ln(Visits)|ln(Visits)|ln(Visits)|ln(Visits)|ln(Visits)|
|ln(GDP per capita)|0.567<sup>_∗∗∗_</sup>|0.056|0.651<sup>_∗∗∗_</sup>|0.229<sup>_∗∗_</sup>|0.823<sup>_∗∗∗_</sup>|0.586<sup>_∗∗∗_</sup>|0.571<sup>_∗∗∗_</sup>|0.202<sup>_∗∗∗_</sup>|
||(0.041)|(0.071)|(0.066)|(0.107)|(0.068)|(0.117)|(0.028)|(0.052)|
|Internet user share (% pop)|0.036<sup>_∗∗∗_</sup>|0.025<sup>_∗∗∗_</sup>|0.062<sup>_∗∗∗_</sup>|0.042<sup>_∗∗∗_</sup>|0.051<sup>_∗∗∗_</sup>|0.039<sup>_∗∗∗_</sup>|0.043<sup>_∗∗∗_</sup>|0.032<sup>_∗∗∗_</sup>|
||(0.002)|(0.003)|(0.004)|(0.005)|(0.004)|(0.005)|(0.002)|(0.002)|
|ln(Population)|1.173<sup>_∗∗∗_</sup>|1.206<sup>_∗∗∗_</sup>|1.404<sup>_∗∗∗_</sup>|1.369<sup>_∗∗∗_</sup>|1.532<sup>_∗∗∗_</sup>|1.507<sup>_∗∗∗_</sup>|1.126<sup>_∗∗∗_</sup>|1.129<sup>_∗∗∗_</sup>|
||(0.021)|(0.024)|(0.025)|(0.028)|(0.023)|(0.029)|(0.010)|(0.012)|
|20-34 age group share (% pop)|0.035<sup>_∗∗∗_</sup>|0.061<sup>_∗∗∗_</sup>|0.038<sup>_∗∗∗_</sup>|0.104<sup>_∗∗∗_</sup>|0.007|0.068<sup>_∗∗∗_</sup>|-0.024<sup>_∗∗∗_</sup>|0.010|
||(0.008)|(0.008)|(0.014)|(0.015)|(0.015)|(0.016)|(0.007)|(0.007)|
|ln(Fixed broadband download speed)||0.215<sup>_∗∗∗_</sup>||0.529<sup>_∗∗∗_</sup>||0.435<sup>_∗∗∗_</sup>||0.284<sup>_∗∗∗_</sup>|
|||(0.040)||(0.076)||(0.091)||(0.030)|
|Fixed broadband penetration (%)||0.007||0.016<sup>_∗∗_</sup>||0.019<sup>_∗∗∗_</sup>||0.010<sup>_∗∗∗_</sup>|
|||(0.005)||(0.007)||(0.007)||(0.003)|
|Trade share of GDP (%)||0.0018<sup>_∗∗∗_</sup>||0.0015<sup>_∗_</sup>||0.0007||0.0013<sup>_∗∗∗_</sup>|
|||(0.0005)||(0.0008)||(0.0011)||(0.0004)|
|Service sector share of GDP (%)||0.015<sup>_∗∗∗_</sup>||0.024<sup>_∗∗∗_</sup>||0.029<sup>_∗∗∗_</sup>||0.018<sup>_∗∗∗_</sup>|
|||(0.003)||(0.005)||(0.005)||(0.002)|
|Digitally delivered service exports (% exports)||0.0007<sup>_∗∗_</sup>||-0.0005||-0.0007||0.0001|
|||(0.0003)||(0.0006)||(0.0007)||(0.0003)|
|Share of white-collar + sales jobs (%)||0.018<sup>_∗∗_</sup>||-0.003||-0.010||-0.001|
|||(0.007)||(0.007)||(0.007)||(0.003)|
|English speaking country (=1)||0.176<sup>_∗∗_</sup>||-0.298<sup>_∗∗∗_</sup>||-0.195<sup>_∗_</sup>||0.012|
|||(0.073)||(0.109)||(0.117)||(0.044)|
|Literacy rate (%)||0.025<sup>_∗∗∗_</sup>||0.039<sup>_∗∗∗_</sup>||0.020<sup>_∗∗∗_</sup>||0.021<sup>_∗∗∗_</sup>|
|||(0.004)||(0.006)||(0.006)||(0.002)|
|Digital skill: intermediate (% pop)||0.005||-0.014<sup>_∗∗∗_</sup>||-0.018<sup>_∗∗∗_</sup>||0.001|
|||(0.003)||(0.005)||(0.005)||(0.003)|
|Month FE|Yes|Yes|Yes|Yes|Yes|Yes|Yes|Yes|
|Observations<br>|2136|2136|2136|2136|2136|2136|2136|2136|
|Adjusted _R_<sup>2</sup>|0.7736|0.7899|0.7271|0.7556|0.7281|0.7446|0.8984|0.9175|

_Note:_ Robust standard errors are in parentheses. The dependent variable in this table is the aggregated monthly visits of chatbots, image GenAI, video GenAI, and search engines (Google, Bing, and Yahoo) from April 2023 to March 2024. Missing values in independent variables are imputed * ** *** with predictions from the corresponding auxiliary cross-country regression on ln(GDP per capita) and ln(Population). _p <_ 0 _._ 10, _p <_ 0 _._ 05, _p <_ 0 _._ 01.