Empowering rural revitalization in China with GAI: the application value, challenges, and optimization paths

In the context of China’s path to modernization, rural revitalization is facing a new landscape of “technology empowerment.” Generative artificial intelligence (GAI), with its powerful text generation capabilities, continuous human-machine interaction mode, and versatility across multiple scenarios, can not only drive the comprehensive digital transformation of cities but also make significant contributions to rural revitalization. Although the application of GAI in rural revitalization has not yet become widespread, it is foreseeable that it will play a crucial role in rural revitalization across five dimensions: organizational revitalization, industrial revitalization, cultural revitalization, ecological revitalization, and talent revitalization. However, it should also be anticipated that the smooth operation of technology is influenced by external environments. Currently, the large digital divide between urban and rural areas, the insufficient integration of GAI with rural governance, and potential risks constitute practical obstacles that hinder GAI’s empowerment of rural revitalization. Therefore, it is necessary to make preparations for its role in empowering rural revitalization by advancing the construction of software and hardware infrastructure, transforming the governance approach of grassroots governments, creating a favorable application atmosphere, and strengthening institutional guarantees.

Authors

Institutions

Publication Details

Journal
Cogent Food & Agriculture
Published
2025-05-14
DOI
https://doi.org/10.1080/23311932.2025.2502389
Citations
2
Primary Topic
Smart Cities and Technologies
Type
article
Field-Weighted Citation Impact
2.27

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Empowering rural revitalization in China with GAI: the application value, challenges, and optimization paths

Xuwen Liu
2 citations
Cogent Food & Agriculture
Smart Cities and Technologies
2.27
article

Empowering rural revitalization in China with GAI: the application value, challenges, and optimization paths

Xuwen Liu
article en
2 citations

Abstract

In the context of China’s path to modernization, rural revitalization is facing a new landscape of “technology empowerment.” Generative artificial intelligence (GAI), with its powerful text generation capabilities, continuous human-machine interaction mode, and versatility across multiple scenarios, can not only drive the comprehensive digital transformation of cities but also make significant contributions to rural revitalization. Although the application of GAI in rural revitalization has not yet become widespread, it is foreseeable that it will play a crucial role in rural revitalization across five dimensions: organizational revitalization, industrial revitalization, cultural revitalization, ecological revitalization, and talent revitalization. However, it should also be anticipated that the smooth operation of technology is influenced by external environments. Currently, the large digital divide between urban and rural areas, the insufficient integration of GAI with rural governance, and potential risks constitute practical obstacles that hinder GAI’s empowerment of rural revitalization. Therefore, it is necessary to make preparations for its role in empowering rural revitalization by advancing the construction of software and hardware infrastructure, transforming the governance approach of grassroots governments, creating a favorable application atmosphere, and strengthening institutional guarantees.

Cogent Food & AgricultureVol. 11(1)
Guangxi University (CN)
National Social Science Fund of China
Gender equality
Openalex Percentile: Top 11%
Smart Cities and Technologies
2.27
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Empowering rural revitalization in China with GAI: the application value, challenges, and optimization paths — Xuwen Liu · Cogent Food & Agriculture (2025) | TGRS Research Map | TGRS