--- title: "Role of AI adoption, AgriTech, and climate variability on agricultural export performance of Pakistan · AI Fault Line" url: https://aifaultline.com/research/p/doi-10-1080-23311932-2026-2755153/ 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/) # Role of AI adoption, AgriTech, and climate variability on agricultural export performance of Pakistan [Ghulam Madni](https://aifaultline.com/authors/ghulam-madni/), [Ghulam Mustafa](https://aifaultline.com/authors/ghulam-mustafa/), [Bader Alhafi Alotaibi](https://aifaultline.com/authors/bader-alhafi-alotaibi/), [Roshan Nayak](https://aifaultline.com/authors/roshan-nayak/) · [Cogent Food & Agriculture](https://aifaultline.com/sources/cogent-food-agriculture/) · 3 Nov 2026 [Read original source](https://doi.org/10.1080/23311932.2026.2755153) Open access Where this sits in the debate - [Will AI actually boost productivity and growth?](https://aifaultline.com/debate/productivity/) · its finding supports the claim ([why studies differ](https://aifaultline.com/debate/productivity/#why)) Direction of the finding as read from the abstract by an AI model ([AI-written](https://aifaultline.com/about/)). ## Abstract Achieving Pakistan’s $100 billion export target requires a fundamental transformation of its agricultural sector, which remains constrained by low productivity, limited technological diffusion, and weak integration into global value chains. This study examines the long and short run relations of artificial intelligence adoption and AgriTech infrastructure with agricultural export performance in Pakistan and assesses how climate variability shapes these relationships. Using annual time-series data from 2003 to 2024, the study develops an integrated analytical framework linking AI adoption, AgriTech infrastructure, climate variability, innovation capacity, global demand, exchange rate volatility, and institutional quality to agricultural export performance. The empirical analysis employs the Autoregressive Distributed Lag bounds-testing approach to distinguish long-run relationships from short-run dynamics, with Fully Modified Ordinary Least Squares and Dynamic Ordinary Least Squares) used as robustness checks. The results show that AI adoption, AgriTech infrastructure, and climate variability are the three central technology–environment correlates of agricultural exports: a one-unit increase in the AI Adoption Index is associated with roughly 20% higher agricultural exports, while a comparable increase in AgriTech infrastructure is associated with roughly 18% higher exports; in contrast, a one unit increase in climate variability is associated with about 13% lower exports. ## About this publication **Unranked journal.** A journal that is not on the economics or computer-science rankings this guide uses. That says nothing about one paper, but no ranking vouches for the journal’s review. [How sources are ranked](https://aifaultline.com/about/#source-ranking). Published 2026 (recently) Citations 0 (OpenAlex) 0 citations recorded by OpenAlex — too few 2026 papers in this collection for a fair comparison. [Chart: published 2026] ## Reaches a different conclusion Papers on the same question whose finding points the other way, as read from the abstracts by an AI model ([AI-written](https://aifaultline.com/about/)). [Why studies differ](https://aifaultline.com/debate/productivity/#why). - [The simple macroeconomics of AI](https://aifaultline.com/research/p/doi-10-1093-epolic-eiae042/) Productivity: its finding goes against the claim · Daron Acemoğlu · 2024 - [Past Automation and Future A.I.: How Weak Links Tame the Growth Explosion](https://aifaultline.com/research/p/title-4cc690f5d8da29fa/) Productivity: its finding goes against the claim · Charles I. Jones and Christopher Tonetti · 2026 ## Related papers On the same debate question, key papers first; related by topic, not by method or conclusion. Browse all: [Productivity](https://aifaultline.com/research/?question=productivity). - [Generative AI at Work](https://aifaultline.com/research/p/doi-10-1093-qje-qjae044/) Erik Brynjolfsson et al. · The Quarterly Journal of Economics · 2025 - [The Productivity J-Curve: How Intangibles Complement General Purpose Technologies](https://aifaultline.com/research/p/doi-10-1257-mac-20180386/) Erik Brynjolfsson et al. · American Economic Journal Macroeconomics · 2020 - [Miracle or Myth? Assessing the macroeconomic productivity gains from Artificial Intelligence](https://aifaultline.com/research/p/doi-10-1787-b524a072-en/) Francesco Filippucci et al. · OECD · 2024 - [AI and Growth: Where Do We Stand?](https://aifaultline.com/research/p/title-e78842657b0f08e8/) Philippe Aghion and Simon Bunel · Federal Reserve Bank of San Francisco · 2024 Overview assembled automatically from collected metadata. [How this site is built](https://aifaultline.com/about/).