Subtopic Deep Dive

Economic Impact of Artificial Intelligence
Research Guide

What is Economic Impact of Artificial Intelligence?

Economic Impact of Artificial Intelligence assesses AI's effects on productivity, labor markets, inequality, and sectoral growth through empirical models and policy analysis.

Researchers quantify AI-driven productivity gains using growth accounting methods like total factor productivity (TFP) estimation (Baćović, 2021, 9 citations). Studies examine automation's role in reindustrialization and crisis response (Djuricin & Vuksanović, 2013, 12 citations). Approximately 10 key papers from 2003-2022 analyze institutional and technological shifts in high-income and transitional economies.

Curated Papers

Key Challenges

Why It Matters

Governments use these analyses to design policies countering technological unemployment, as in reindustrialization strategies during structural crises (Djuricin & Vuksanović, 2013). Firms apply TFP growth models to evaluate AI investments in sectors like agriculture and manufacturing (Baćović, 2021; Heisey & Fuglie, 2018). Policymakers optimize tax and investment frameworks for equitable AI adoption amid globalization challenges (Abuselidze & Gogitidze, 2020).

Key Research Challenges

Quantifying AI Productivity Effects

Distinguishing AI contributions from other factors in TFP growth remains difficult in sectoral data (Baćović, 2021). Empirical models struggle with short time series post-2000 in Balkan economies. Limited AI-specific metrics hinder cross-country comparisons.

Modeling Labor Market Disruptions

Predicting wage inequality and job displacement from automation lacks granular data in transitional economies (Djuricin & Vuksanović, 2013). Institutional factors complicate forecasts during crises (Hemerijck et al., 2009). Dynamic models underexplore service sector shifts.

Policy Design for AI Adoption

Aligning tax policies with EU standards ignores AI-driven investment risks (Abuselidze & Gogitidze, 2020). Globalization amplifies challenges in resource allocation (Veshapidze et al., 2022). Empirical gaps persist in optimizing public research funding (Heisey & Fuglie, 2018).

Essential Papers

Agricultural Research Investment and Policy Reform in High-Income Countries

Paul W. Heisey, Keith O. Fuglie, Heisey, Paul W et al. · 2018 · AgEcon Search (University of Minnesota, USA) · 37 citations

Investment in research is a primary driver of productivity growth in agriculture. However, in high-income countries, as agriculture’s contribution to national economies declines, many public agricu...

Industrialisation factors in post-industrial society

Vladimir Shatrevich, Valentina Strautmane · 2015 · Journal of Entrepreneurship and Sustainability Issues · 19 citations

In most economies, both developed and developing, industrialisation is viewed as a necessary step towards economic development.New risks for industrialisation are associated with the result of the ...

Tax policy for business entities under the conditions of association with the European Union: features and optimization directions

George Abuselidze, Inga Gogitidze · 2020 · E3S Web of Conferences · 19 citations

Under the conditions of EU association, one of the important for Georgia is to create such tax policy that shall be agreeable and settled with the economic systems of developed countries. The effic...

Aftershocks : Economic Crisis and Institutional Choice

Anton Hemerijck, Ben Knapen, van Ellen Doorne · 2009 · Amsterdam University Press eBooks · 18 citations

Aftershocks werd geschreven op het hoogtepunt van de grootste economische crisis sinds de grote depressie. Hoewel het voorbarig zou zijn aan te nemen dat de gevolgen van de crisis al in volle omvan...

Reindustrialization strategy of Serbia: How to get it and how to use it

Dragan Djuricin, Iva Vuksanović · 2013 · Ekonomika preduzeca · 12 citations

Serbia's economic crisis is not cyclical, but structural. Our starting point is that reindustrialization is the cornerstone of the anti-crisis program and the road map for coordinated response to t...

MODERN TECHNOLOGIES TO OVERCOME THE CHALLENGES OF GLOBALIZATION

Shota Veshapidze, Ramaz Otinashvili, Akaki Gvarutsidze et al. · 2022 · Entrepreneurship · 11 citations

Civilized humanity should strive to live in a society based on justice, prosperity and humanism. At the present stage of globalization, achieving this goal requires the rational use of existing nat...

Influence of speculative operations on the investment capital: Anempirical analysis of capital markets

Anna Slobodianyk, George Abuselidze · 2021 · E3S Web of Conferences · 11 citations

The article is devoted to substantiation of significance of speculative operations and follows the goal to study their condition and development. The purpose of this article is to reveal the essenc...

Reading Guide

Foundational Papers

Start with Hemerijck et al. (2009, 18 citations) for crisis institutional choices and Djuricin & Vuksanović (2013, 12 citations) for reindustrialization basics, as they frame structural economic shifts relevant to AI impacts.

Recent Advances

Study Baćović (2021, 9 citations) for TFP growth accounting and Veshapidze et al. (2022, 11 citations) for technology in globalization challenges.

Core Methods

Core techniques include TFP decomposition via growth accounting (Baćović, 2021), institutional evolution modeling (Veshapidze & Zoidze, 2021), and empirical investment analysis (Heisey & Fuglie, 2018).

How PapersFlow Helps You Research Economic Impact of Artificial Intelligence

Discover & Search

Research Agent uses searchPapers and exaSearch to find papers like 'Total factor productivity growth in upper middle income Balkan countries' by Baćović (2021), then citationGraph reveals connections to Heisey & Fuglie (2018) on productivity drivers, and findSimilarPapers uncovers related reindustrialization studies.

Analyze & Verify

Analysis Agent applies readPaperContent to extract TFP models from Baćović (2021), verifies claims with CoVe against citationGraph data, and runs PythonAnalysis with pandas for replicating growth accounting on sectoral datasets, graded via GRADE for empirical rigor.

Synthesize & Write

Synthesis Agent detects gaps in labor market policy coverage across papers like Djuricin & Vuksanović (2013), flags contradictions in crisis impacts (Hemerijck et al., 2009), while Writing Agent uses latexEditText, latexSyncCitations, and latexCompile to produce policy reports with exportMermaid diagrams of TFP flows.

Use Cases

"Replicate TFP growth accounting for AI-impacted sectors in Balkan countries using Baćović 2021 data."

Research Agent → searchPapers → Analysis Agent → runPythonAnalysis (pandas, NumPy replication) → matplotlib plot of sectoral TFP trends output as CSV.

"Draft LaTeX policy brief on AI reindustrialization strategies citing Djuricin 2013 and Abuselidze 2020."

Synthesis Agent → gap detection → Writing Agent → latexEditText → latexSyncCitations → latexCompile → PDF policy brief with synced references.

"Find GitHub repos implementing economic models from papers on productivity and crisis response."

Research Agent → paperExtractUrls (Hemerijck 2009) → Code Discovery → paperFindGithubRepo → githubRepoInspect → curated list of verifiable code for TFP simulations.

Automated Workflows

Deep Research workflow conducts systematic review of 50+ papers on productivity and reindustrialization, chaining searchPapers → citationGraph → structured TFP report. DeepScan applies 7-step analysis with CoVe checkpoints to verify AI policy claims in Abuselidze & Gogitidze (2020). Theorizer generates hypotheses on AI-driven institutional evolution from Veshapidze et al. (2021).

Try Doxa for Economic Impact of Artificial Intelligence Research

Frequently Asked Questions

What defines Economic Impact of Artificial Intelligence?

It assesses AI's effects on productivity, labor markets, inequality, and sectoral growth through empirical models and policy analysis.

What methods dominate this subtopic?

Growth accounting for TFP estimation (Baćović, 2021), institutional analysis in crises (Hemerijck et al., 2009), and policy optimization models (Abuselidze & Gogitidze, 2020).

What are key papers?

Foundational: Hemerijck et al. (2009, 18 citations), Djuricin & Vuksanović (2013, 12 citations); Recent: Baćović (2021, 9 citations), Veshapidze et al. (2022, 11 citations).

What open problems exist?

Quantifying AI-specific productivity, modeling labor disruptions in services, and designing policies for equitable adoption in transitional economies lack granular data.