--- title: "FINANCE-GROWTH NEXUS AND ADOPTION OF ARTIFICIAL INTELLIGENCE IN AZERBAIJAN · AI Fault Line" url: https://aifaultline.com/research/p/doi-10-15837-aijes-v20i1-7608/ 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/) # FINANCE-GROWTH NEXUS AND ADOPTION OF ARTIFICIAL INTELLIGENCE IN AZERBAIJAN Nazrin Akhundzada, Amiran Gahramanov · AGORA INTERNATIONAL JOURNAL OF ECONOMICAL SCIENCES · 30 Jun 2026 [Read original source](https://doi.org/10.15837/aijes.v20i1.7608) Open access Where this sits in the debate - [Will AI actually boost productivity and growth?](https://aifaultline.com/debate/productivity/) Direction of the finding as read from the abstract by an AI model ([AI-written](https://aifaultline.com/about/)). ## Abstract This article investigates the relationship between financial development and economic growth in Azerbaijan within 2000–2024 period. Findings from the Autoregressive Distributed Lag (ARDL) Bounds Test reveal a significant long-term cointegration among financial development, physical capital investments, and economic growth, suggesting that access to finance for the private sector is a strong accelerator for economic growth. While domestic credit to the private sector shows a weak positive short-run impact, its long-run impact is negative. The divergence between the positive impact of physical capital and the negative impact of credit expansion in the long run implies that even though physical investments enhance productivity, the financial markets might be inefficient in the allocation of resources by moving funds toward non-productive sectors and creating a misallocation constraint on economic growth. To improve the efficiency in financial markets, digitalisation of financial services and integration of AI-based models were evaluated as key strategic priorities. This study also employs a SWOT analysis to explore opportunities and challenges for successful adoption of AI. ## 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 (4 months ago) 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 Related by theme, not necessarily by method or conclusion. - [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. [How this site is built](https://aifaultline.com/about/).