InGPT we trust: perceptions of the future of work with artificial intelligence on online forums

This study analyzes 10 years of Reddit discussions on artificial intelligence (AI) labor’s market impact using a state-of-the-art pre-trained robust optimized bidirectional encoder representations from transformers (BERT) model, or RoBERTa model, for sentiment analysis and emotional detection. Additionally, the BERTopic method is employed to identify the discussed topics. The results show generally mixed sentiments towards AI’s impact on the labor market. Fueled by influencers and media sensationalism, negative emotions—fear, anger, and disgust—stem from concerns about job replacement, economic instability, and societal change. However, chat generative pre-trained transformer’s (ChatGPT) release in 2022 has created a more positive outlook, with users expressing surprise and optimism about generative AI’s capabilities. Discussions have shifted from fears of complete automation to the potential for augmentation. Emotional dynamics have been shaped by events such as the COVID-19 pandemic and the rise of generative AI, underscoring AI’s dual role as both a threat and an opportunity.

Authors

Institutions

Publication Details

Journal
Data Science and Management
Published
2025-11-01
DOI
https://doi.org/10.1016/j.dsm.2025.11.001
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

InGPT we trust: perceptions of the future of work with artificial intelligence on online forums

Bettina Boncz, Szabina Fodor
Data Science and Management
AI in Service Interactions
article

InGPT we trust: perceptions of the future of work with artificial intelligence on online forums

Bettina Boncz, Szabina Fodor
article en

Abstract

This study analyzes 10 years of Reddit discussions on artificial intelligence (AI) labor’s market impact using a state-of-the-art pre-trained robust optimized bidirectional encoder representations from transformers (BERT) model, or RoBERTa model, for sentiment analysis and emotional detection. Additionally, the BERTopic method is employed to identify the discussed topics. The results show generally mixed sentiments towards AI’s impact on the labor market. Fueled by influencers and media sensationalism, negative emotions—fear, anger, and disgust—stem from concerns about job replacement, economic instability, and societal change. However, chat generative pre-trained transformer’s (ChatGPT) release in 2022 has created a more positive outlook, with users expressing surprise and optimism about generative AI’s capabilities. Discussions have shifted from fears of complete automation to the potential for augmentation. Emotional dynamics have been shaped by events such as the COVID-19 pandemic and the rise of generative AI, underscoring AI’s dual role as both a threat and an opportunity.

Data Science and Management
Corvinus University of Budapest (HU)
Openalex Percentile: Top 81%
AI in Service Interactions
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.