Organizational Technology Ladders: Remote Work and Generative AI Adoption
arXiv:2608.11626v1 Announce Type: cross Abstract: This study proposes that firms move along an "organizational technology ladder": adopting one technology transforms hiring and work processes and builds skills and organizational capital that change the cost of adopting subsequent technologies. I study how firms' adoption of remote work technology during the COVID-19 period shaped later uptake of generative AI. Using U.S. job-posting data and an instrumental-variables strategy based on predicted
Record details
Published: 13 August 2026
Source: arXiv cs.CY
Category: Research
Topics: Jobs & economy
Retrieved: 13 August 2026
Related evidence
These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.
A Conceptual Framework for Enhancing Workforce Readiness for Smart Manufacturing in the AI Era
arXiv cs.CY · 13 August 2026
Cheap, Fallible Cognition and the Political Economy of Expertise
arXiv cs.CY · 13 August 2026
Considering Contribution Statements in Visualization and HCI Research
arXiv cs.HC · 13 August 2026
Applied and Filtered: An End-to-End Algorithmic Fairness Audit of A Public Employment Agency
arXiv · 13 August 2026
Mixture of Training: Recombining Small-Scale Scaffolded Pretraining Runs into a Larger Language Model
arXiv · 13 August 2026
Simulation-to-real transfer learning for infrared spectroscopic chemical sensing and analysis from molecules to complex samples
arXiv · 13 August 2026
How to cite this record
ethics.ai (13 August 2026), “Organizational Technology Ladders: Remote Work and Generative AI Adoption,” evidence record 18727, https://ethics.ai/record/18727 (originally published by arXiv cs.CY).
Use and limitations
This page is a stable index and citation surface for a source record. ethics.ai did not author the underlying report and has not independently verified every claim. Automatic topics may be imperfect. For consequential use, quote and cite the original publisher.