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Related papers: Economic impacts of AI-augmented R&D

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This paper studies the impact of artificial intelligence on innovation, exploiting the randomized introduction of a new materials discovery technology to 1,018 scientists in the R&D lab of a large U.S. firm. AI-assisted researchers discover…

General Economics · Economics 2025-05-21 Aidan Toner-Rodgers

Recent progress in deep learning, a special form of machine learning, has led to remarkable capabilities machines can now be endowed with: they can read and understand free flowing text, reason and bargain with human counterparts, translate…

General Finance · Quantitative Finance 2023-04-25 Michael Kopp

Investment in artificial intelligence (AI) has grown rapidly, yet its returns to scientific research remain poorly understood. We study how AI reshapes the production of science using a comprehensive dataset of research proposals submitted…

Physics and Society · Physics 2026-03-31 Moh Hosseinioun , Brian Uzzi , Henrik Barslund Fosse

The computations required for deep learning research have been doubling every few months, resulting in an estimated 300,000x increase from 2012 to 2018 [2]. These computations have a surprisingly large carbon footprint [38]. Ironically,…

Computers and Society · Computer Science 2019-08-15 Roy Schwartz , Jesse Dodge , Noah A. Smith , Oren Etzioni

Artificial intelligence (AI) has moved to the center of policy, market, and academic debates, but its macroeconomic footprint is still only partly understood. This paper provides an overview on how the current AI wave is captured in US…

General Economics · Economics 2026-01-19 Luisa Carpinelli , Filippo Natoli , Marco Taboga

As AI adoption accelerates, research on its economic impacts becomes a salient source to consider for stakeholders of AI policy. Such research is however still in its infancy, and one in need of review. This paper aims to accomplish just…

General Economics · Economics 2024-12-09 Rafael Andersson Lipcsey

We study how artificial intelligence (AI) affects firms' incentives to pursue incremental versus radical knowledge recombinations. We develop a model of recombinant innovation embedded in a Schumpeterian quality-ladder framework, in which…

Theoretical Economics · Economics 2026-04-03 Emanuele Bazzichi , Massimo Riccaboni , Fulvio Castellacci

This research paper explores the impact of Artificial intelligence (AI) on the global economy, with particular emphasis on its influence on gross domestic product (GDP). The paper begins with an overview of AI, followed by a discussion of…

General Economics · Economics 2025-05-20 Davit Gondauri

The fast pace of artificial intelligence (AI) and automation is propelling strategists to reshape their business models. This is fostering the integration of AI in the business processes but the consequences of this adoption are…

General Economics · Economics 2019-05-07 Neha Soni , Enakshi Khular Sharma , Narotam Singh , Amita Kapoor

Development in Artificial Intelligence (AI) has accelerated scientific discovery. Alongside recent AI-oriented Nobel prizes, these trends establish the role of AI tools in science. This advancement raises questions about the potential…

Computers and Society · Computer Science 2025-12-02 Qianyue Hao , Fengli Xu , Yong Li , James Evans

The ongoing artificial intelligence (AI) revolution has the potential to change almost every line of work. As AI capabilities continue to improve in accuracy, robustness, and reach, AI may outperform and even replace human experts across…

Digital Libraries · Computer Science 2024-06-04 Jian Gao , Dashun Wang

Artificial intelligence (AI), which enables machines to learn to perform a task by training on diverse datasets, is one of the most revolutionary developments in scientific history. Although AI and especially deep learning is relatively…

Computers and Society · Computer Science 2024-02-27 Nathan Wang , Paul Tonko , Nikil Ragav , Michael Chungyoun , Jonathan Plucker

As an important data selection schema, active learning emerges as the essential component when iterating an Artificial Intelligence (AI) model. It becomes even more critical given the dominance of deep neural network based models, which are…

Machine Learning · Computer Science 2022-12-27 Rinyoichi Takezoe , Xu Liu , Shunan Mao , Marco Tianyu Chen , Zhanpeng Feng , Shiliang Zhang , Xiaoyu Wang

Political science, and social science in general, have traditionally been using computational methods to study areas such as voting behavior, policy making, international conflict, and international development. More recently, increasingly…

Computation and Language · Computer Science 2020-05-15 Kakia Chatsiou , Slava Jankin Mikhaylov

This paper aims to review the radical role of AI and deep learning in various functional areas of the business, such as marketing, finance, operations, human resources and customer service. Thus, based on the overview of the latest research…

Computers and Society · Computer Science 2024-11-01 Fabio S. Dias , Grace A. Lauretta

Recent progress in artificial intelligence (AI) using deep learning techniques has triggered its wide-scale use across a broad range of applications. These systems can already perform tasks such as natural language processing of voice and…

Computers and Society · Computer Science 2019-10-29 P. Santhanam , Eitan Farchi , Victor Pankratius

Artificial intelligence (AI) can revolutionize the development industry, primarily electrical and electronics engineering. By automating recurring duties, AI can grow productivity and efficiency in creating. For instance, AI can research…

Systems and Control · Electrical Eng. & Systems 2023-10-06 Nwosu Obinnaya Chikezie Victor

Artificial Intelligence (AI) is a fast-growing research and development (R&D) discipline which is attracting increasing attention because of its promises to bring vast benefits for consumers and businesses, with considerable benefits…

Artificial Intelligence · Computer Science 2022-05-10 Zhenghua Chen , Min Wu , Alvin Chan , Xiaoli Li , Yew-Soon Ong

Over the past few years, we have seen fundamental breakthroughs in core problems in machine learning, largely driven by advances in deep neural networks. At the same time, the amount of data collected in a wide array of scientific domains…

Machine Learning · Computer Science 2020-03-27 Maithra Raghu , Eric Schmidt

Artificial intelligence (AI) raises expectations of substantial increases in rates of technological and scientific progress, but such anticipations are often not connected to detailed ground-level studies of AI use in innovation processes.…

Computers and Society · Computer Science 2025-11-21 John P. Nelson , Olajide Olugbade , Philip Shapira , Justin B. Biddle
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