---
title: "Produtividade líquida no empreendedorismo individual: quanto a IA economiza depois da revisão e do retrabalho? Ensaio teórico com proposições e agenda de pesquisa · AI Fault Line"
url: https://aifaultline.com/research/p/doi-10-69849-gm2sb559/
description: "AI Fault Line is a neutral, evidence-cited field guide to why experts looking at the same developments disagree about AI's effect on productivity, jobs, inequality, regulation and the pace of change."
---

[Research](https://aifaultline.com/research/)

# Produtividade líquida no empreendedorismo individual: quanto a IA economiza depois da revisão e do retrabalho? Ensaio teórico com proposições e agenda de pesquisa

Dani Hayoshi · Revista fisio&terapia. · 29 Oct 2026

[Read original source](https://doi.org/10.69849/gm2sb559) Open access

Where this sits in the debate

- [Will AI actually boost productivity and growth?](https://aifaultline.com/debate/productivity/) · its finding: it depends ([why studies differ](https://aifaultline.com/debate/productivity/#why))

Direction of the finding as read from the abstract by an AI model ([AI-written](https://aifaultline.com/about/)).

## Abstract

The most widespread promise of generative artificial intelligence (GenAI) for solo entrepreneurs is time savings. Experimental evidence documents substantial gains on well-defined tasks, but large-scale adoption studies find modest self-reported savings, and at least one randomized trial with experienced professionals found an increase, rather than a reduction, in completion time. This theoretical essay argues that part of this discrepancy stems from conflating gross productivity — the time saved in generating an output — with net productivity — the time and value saved after accounting for task specification, verification, correction, rework, context switching, and the expected cost of errors that escape review. For solo entrepreneurs, this distinction is especially relevant because the same person generates, reviews, corrects, and answers for errors, with no division of labor to absorb these costs. Integrating the economics of productivity and time allocation, the literature on quality costs and rework, research on automation and overreliance, human–AI interaction studies, and recent empirical evidence on GenAI at work, we propose an accounting model of net productivity, with explicit cost components and boundary conditions, and derive eight propositions. We discuss implications for solo entrepreneurs, limitations, and a study design with task-level randomization and an illustrative power calculation. The article presents no empirical data; its propositions are intended for testing.

## About this publication

**Academic journal.** Published in an academic journal — typically peer-reviewed before publication, though indexing alone doesn't guarantee review depth.

Published

2026 (recently)

Citations

0 (OpenAlex)

0 citations recorded by OpenAlex — too few 2026 papers in this collection for a fair comparison.

[Chart: published 2026]

## More on this topic

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- [Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality](https://aifaultline.com/research/p/doi-10-2139-ssrn-4573321/) SSRN · 2023

- [Generative AI at Work](https://aifaultline.com/research/p/doi-10-1093-qje-qjae044/) The Quarterly Journal of Economics · 2025

- [The Impact of AI on Developer Productivity: Evidence from GitHub Copilot](https://aifaultline.com/research/p/doi-10-48550-arxiv-2302-06590/) arXiv · 2023

- [The Productivity J-Curve: How Intangibles Complement General Purpose Technologies](https://aifaultline.com/research/p/doi-10-1257-mac-20180386/) American Economic Journal Macroeconomics · 2020

Overview assembled automatically from collected metadata.
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