Abstract
Crowdsourcing platforms employ millions of workers worldwide to complete microtasks that fuel machine-learning pipelines, moderate user-generated content, and accelerate scientific discovery. The rapid ascent of large language models and other foundation models has shifted research attention from automation instead of humans to augmentation alongside humans. This chapter addresses a central challenge in this new landscape: understanding how, how much, and for whom AI-driven tools truly empower crowdworkers. We synthesize insights from a diverse body of empirical studies, spanning randomized lab experiments, field A/B tests, trace-log meta-analyses, and qualitative user studies, to evaluate the impact of AI on crowdwork. To structure this analysis, we introduce a multidimensional empowerment framework grounded in psychological and economic theory, focusing on five key dimensions: productivity and earnings, quality and reliability, learning and skill development, agency and autonomy, and well-being and inclusion. Our review of the evidence reveals a dual-edged reality: while AI assistance offers significant productivity gains, error reductions, and improvements in worker self-efficacy, it also introduces substantial risks, including automation bias, cultural exclusion, wage depression, and unequal access to tools. By distilling these findings, we formulate eight concrete design principles for creating more equitable and effective human-AI augmentation systems. The chapter concludes by outlining a forward-looking research agenda that treats crowdworkers not as replaceable cogs but as essential partners in designing the future of socio-technical systems.
Cite this work
Carlos Toxtli-Hernández and Cecilia Delgado Solorzano. 2026. Empowering the Crowd: Measuring the Impact of AI-Driven Tools on Crowdwork. Crowdsourcing - Innovations in Digital Collaboration. https://doi.org/10.5772/intechopen.1014000
@inbook{Toxtli_2026,
title = {Empowering the Crowd: Measuring the Impact of AI-Driven Tools on Crowdwork},
isbn = {9781836349464},
issn = {2753-894X},
url = {http://dx.doi.org/10.5772/intechopen.1014000},
doi = {10.5772/intechopen.1014000},
booktitle = {Crowdsourcing - Innovations in Digital Collaboration},
publisher = {IntechOpen},
author = {Toxtli, Carlos and Delgado Solorzano, Cecilia},
year = {2026},
month = Feb
}Related
