Artificial Intelligence and Economic Productivity: A Comparative Assessment of Algeria's Readiness and Development Prospects

Lakhdar ZIANE, Moussa Boukrif · Journal of Ecohumanism · 30 May 2026

Where this sits in the debate

Will AI actually boost productivity and growth? · its finding: it depends (why studies differ)

Direction of the finding as read from the abstract by an AI model (AI-written).

Key takeaway AI-written

Benchmarks Algeria's AI readiness for economic productivity against Morocco, Egypt, and Turkey using World Bank and Oxford Insights Government AI Readiness Index data, finding Algeria lags peers on digital infrastructure, human capital, and institutions. It's a policy-oriented case study illustrating the North Africa/MENA angle on how unevenly AI-driven productivity gains may diffuse to emerging economies.

The paper in three steps AI-written

Written by an AI agent from the paper's abstract, which is the primary source and is quoted below.

The question

How ready is Algeria to use AI to raise economic productivity compared with Morocco, Egypt and Turkey?

The approach

A comparative assessment using World Bank data, the Oxford Insights Government AI Readiness Index and sector studies to benchmark Algeria against three peer countries.

The findings

Algeria lags its peers in digital infrastructure, human capital and institutional frameworks, and the paper argues that targeted investment and policy reform could speed AI adoption and productivity gains.

How to read it: policy-analysis. Analysis of policy options or impacts — check the stated assumptions; normative choices can shape conclusions.

Limitations and counterpoints AI-written

The study measures readiness indicators rather than observed productivity effects of AI.

Abstract

Artificial intelligence (AI) is rapidly transforming global economies by enhancing productivity, enabling innovation, and reshaping labor markets. While advanced economies have integrated AI technologies at scale, emerging economies such as Algeria face structural and institutional challenges that limit the potential impact of AI on productivity growth (Agrawal, Gans, & Goldfarb, 2019; Acemoglu & Restrepo, 2020). This study provides a comparative assessment of Algeria’s readiness to adopt AI for economic productivity, benchmarking its performance against Morocco, Egypt, and Turkey. Using data from the World Bank (2022), Oxford Insights Government AI Readiness Index, and sector-specific studies, the analysis identifies strengths, gaps, and opportunities for AI-driven economic transformation. Findings reveal that Algeria exhibits significant lag in digital infrastructure, human capital, and institutional frameworks compared to peers, yet targeted investments and policy reforms could accelerate AI adoption and productivity gains (Brynjolfsson, Rock, and Syverson, 2017; McKinsey & Company, 2023). The paper concludes with policy recommendations to foster a conducive environment for AI integration, positioning Algeria to leverage technological advances for sustainable economic growth.

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 (5 months ago)
Citations: 0 (OpenAlex)