Artificial Intelligence and the US Economy: An Accounting Perspective on Investment and Production
- URL: http://arxiv.org/abs/2601.11196v1
- Date: Fri, 16 Jan 2026 11:15:43 GMT
- Title: Artificial Intelligence and the US Economy: An Accounting Perspective on Investment and Production
- Authors: Luisa Carpinelli, Filippo Natoli, Marco Taboga,
- Abstract summary: This paper provides an overview on how the current AI wave is captured in US national accounts.<n>We highlight the crucial role played by data centers, which constitute the backbone of the AI ecosystem.<n>At current utilization rates and pricing, the production of services originating in new AI data centers could contribute to GDP over the turn of the next quarters.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: 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 national accounts, combining a simple macro-accounting framework with a stylized description of the AI production process. We highlight the crucial role played by data centers, which constitute the backbone of the AI ecosystem and have attracted formidable investment in 2025, as they are indispensable for meeting the rapidly increasing worldwide demand for AI services. We document that the boom in IT and AI-related capital expenditure in the first three quarters of the year has given an outsized boost to aggregate demand, while its contribution to GDP growth is smaller once the high import content of AI hardware is netted out. Furthermore, simple calculations suggest that, at current utilization rates and pricing, the production of services originating in new AI data centers could contribute to GDP over the turn of the next quarters on a scale comparable to that of investment spending to date. Short reinvestment cycles and uncertainty about future AI demand, while not currently acting as a macroeconomic drag, can nevertheless fuel macroeconomic risks over the medium term.
Related papers
- Can Artificial Intelligence Accelerate Technological Progress? Researchers' Perspectives on AI in Manufacturing and Materials Science [0.0]
We report results from 32 interviews with U.S.-based academic manufacturing and materials sciences researchers experienced with AI and machine learning (ML) techniques.<n>Interviewees primarily used AI for modeling of materials and manufacturing processes, facilitating cheaper and more rapid search of design spaces for materials and manufacturing processes alike.<n> interviewees report that AI/ML tools are unreliable outside design spaces for which dense data are already available; that they require skilled and judicious application in tandem with older research techniques; and that AI/ML tools may detrimentally circumvent opportunities for disruptive theoretical advancement.
arXiv Detail & Related papers (2025-11-18T00:19:37Z) - Leveraging Artificial Intelligence as a Strategic Growth Catalyst for Small and Medium-sized Enterprises [0.0]
Artificial Intelligence (AI) has transitioned from a futuristic concept reserved for large corporations to a present-day, accessible, and essential growth lever for Small and Medium-sized Enterprises (SMEs)<n>For entrepreneurs and business leaders, strategic AI adoption is no longer an option but an imperative for competitiveness, operational efficiency, and long-term survival.<n>The quantitative evidence supporting AI adoption is compelling; 91% of SMEs using AI report that it directly boosts their revenue.<n>Beyond top-line growth, AI drives profound operational efficiencies, with studies showing it can reduce operational costs by up to 30% and save businesses more than 20 hours of valuable
arXiv Detail & Related papers (2025-09-18T01:56:04Z) - Openness in AI and downstream governance: A global value chain approach [0.0]
Openness in AI highlights an emerging ecosystem of open AI models, datasets and toolchains.<n>It poses questions as to whether open resources can support technological transfer and the ability for catch-up, even in the face of AI industry power.<n>This work extends previous mapping of AI value chains to build a framework which links foundational AI with downstream value chains.
arXiv Detail & Related papers (2025-09-12T13:12:09Z) - An AI Capability Threshold for Rent-Funded Universal Basic Income in an AI-Automated Economy [2.6451153531057985]
We derive the first closed-form condition under which AI capital profits could sustainably finance a universal basic income.<n>We analyze how the AI capability threshold--defined as the productivity level of AI relative to pre-AI automation--varies under different economic scenarios.
arXiv Detail & Related papers (2025-05-24T13:08:13Z) - Hype, Sustainability, and the Price of the Bigger-is-Better Paradigm in AI [67.58673784790375]
We argue that the 'bigger is better' AI paradigm is not only fragile scientifically, but comes with undesirable consequences.<n>First, it is not sustainable, as, despite efficiency improvements, its compute demands increase faster than model performance.<n>Second, it implies focusing on certain problems at the expense of others, leaving aside important applications, e.g. health, education, or the climate.
arXiv Detail & Related papers (2024-09-21T14:43:54Z) - Computing Power and the Governance of Artificial Intelligence [51.967584623262674]
Governments and companies have started to leverage compute as a means to govern AI.
compute-based policies and technologies have the potential to assist in these areas, but there is significant variation in their readiness for implementation.
naive or poorly scoped approaches to compute governance carry significant risks in areas like privacy, economic impacts, and centralization of power.
arXiv Detail & Related papers (2024-02-13T21:10:21Z) - On the Opportunities of Green Computing: A Survey [80.21955522431168]
Artificial Intelligence (AI) has achieved significant advancements in technology and research with the development over several decades.
The needs for high computing power brings higher carbon emission and undermines research fairness.
To tackle the challenges of computing resources and environmental impact of AI, Green Computing has become a hot research topic.
arXiv Detail & Related papers (2023-11-01T11:16:41Z) - Future Computer Systems and Networking Research in the Netherlands: A
Manifesto [137.47124933818066]
We draw attention to CompSys as a vital part of ICT.
Each of the Top Sectors of the Dutch Economy, each route in the National Research Agenda, and each of the UN Sustainable Development Goals pose challenges that cannot be addressed without CompSys advances.
arXiv Detail & Related papers (2022-05-26T11:02:29Z) - The AI Economist: Optimal Economic Policy Design via Two-level Deep
Reinforcement Learning [126.37520136341094]
We show that machine-learning-based economic simulation is a powerful policy and mechanism design framework.
The AI Economist is a two-level, deep RL framework that trains both agents and a social planner who co-adapt.
In simple one-step economies, the AI Economist recovers the optimal tax policy of economic theory.
arXiv Detail & Related papers (2021-08-05T17:42:35Z) - Qlib: An AI-oriented Quantitative Investment Platform [86.8580406876954]
AI technologies have raised new challenges to the quantitative investment system.
Qlib aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment.
arXiv Detail & Related papers (2020-09-22T12:57:10Z) - Turbulence on the Global Economy influenced by Artificial Intelligence
and Foreign Policy Inefficiencies [8.00696326952901]
This paper seeks to find the bridge between artificial intelligence and its impact on the international policy implementation.
We propose a disposition for the essentials of AI-based foreign policy and implementation.
arXiv Detail & Related papers (2020-06-19T10:59:32Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.