المرصد الاقتصادي للشرق الأوسط وشمال أفريقيا وأفغانستان وباكستان — أكتوبر/تشرين الأول 2026

سد الفجوات واغتنام الفرص: الذكاء الاصطناعي والوظائف والنمو

تواجه منطقة الشرق الأوسط وشمال أفريقيا وأفغانستان وباكستان تكاليف اقتصادية باهظة جراء الصراع الذي اندلع في فبراير/شباط 2026. وخلافاً لصدمات الطاقة السابقة التي كانت تعود بالنفع عادةً على البلدان المصدّرة للنفط، فرض إغلاق مضيق هرمز أكبر الأعباء الاقتصادية على بلدان الخليج المصدّرة للنفط. ومن المتوقع أن ينكمش الناتج الإقليمي بنسبة 2.1% في المتوسط عام 2026، بعد أن سجل نمواً بنسبة 3.3% في عام 2025. ولا تقتصر تداعيات الصراع على أسواق الطاقة، بل تمتد أيضاً إلى انتكاسات في قطاعات السياحة والطيران والخدمات اللوجستية، في حين تلقي حالة عدم اليقين المتزايدة بظلالها على الأسواق المالية وثقة منشآت الأعمال.

وفي الوقت الذي يواجه فيه واضعو السياسات التداعيات المباشرة للصراع والاضطرابات الاقتصادية، يتعين على المنطقة أيضاً الاستعداد لتحول ثانٍ أطول أجلاً يتمثل في صعود الذكاء الاصطناعي. فالمنطقة لا تشهد تحولاً واحداً، بل عدة تحولات تسير بسرعات متفاوتة. وفي معظم الاقتصادات، يُرجح أن يتمثل الأثر على المدى القريب للذكاء الاصطناعي في تعزيز الإنتاجية على نطاق واسع. ويتناول التقرير الجديد، «سد الفجوات واغتنام الفرص: الذكاء الاصطناعي والوظائف والنمو»، الكيفية التي يمكن بها للذكاء الاصطناعي دعم الإنتاجية والنمو في مختلف أنحاء المنطقة، كما يحدد الفجوات الهيكلية الرئيسية التي يتعين معالجتها لتحقيق مكاسب واسعة النطاق.

Number of ships traversing the Strait of Hormuz

The effective closure of the Strait of Hormuz is of particular consequence for the global economy and the region. Since hostilities began, several oil tankers have been struck and damaged near the strait, bringing maritime traffic to a near-standstill. Between March 2 and March 22, an average of just five ships per day crossed the strait, compared to 96 over the same period a year prior—a 95 percent decline.

The World Bank

Source: International Monetary Fund, Portwatch, https://portwatch.imf.org/. Data accessed on March 27, 2026.
Note: The orange line indicates the 7-day moving average of ships transits, overlaid against the raw daily totals (light blue) and the prior year’s 7-day moving average (dark blue) to account for baseline seasonality

Iceberg Model of Industrial Policies

Industrial policy is often understood differently by economists and policymakers. A useful way to think about this distinction is through the image of an iceberg. Above the waterline are the problems policymakers observe directly: high unemployment, insufficient private-sector dynamism, overreliance on hydrocarbons, or gaps between workforce skills and firms’ needs. Below the surface lie the underlying causes.

The World Bank

Source: AI-created figure for this publication. Claude Sonnet 3.5 was prompted on January 23, 2026, to generate a sketch of an iceberg, label the three parts of the iceberg as indicated in the figure, insert the examples provided in each part, and color the parts accordingly.

Indexed cumulative count of country's trade measured by income groups (averages)

Over the past decade, the number of newly announced industrial policies in the MENAAP region has tripled. According to the Global Trade Alert (GTA) database, since 2016, the average number of new industrial policy measures has increased across income groups worldwide, but the rise has been especially pronounced among high-income and middle-income MENAAP countries relative to their income peers.

The World Bank

Source: Global Trade Alert (GTA) data set.
Note: MENAAP countries include Afghanistan; Algeria; Bahrain; Djibouti; Egypt, Arab Rep.; Iran, Islamic Rep.; Iraq; Jordan; Kuwait; Lebanon; Libya; Morocco; Oman; Pakistan; Qatar; Saudi Arabia; Syrian Arab Republic; Tunisia; the United Arab Emirates; the West Bank and Gaza; and Yemen, Rep. Time series in the panels represent the unweighted average of country-level indices for MENAAP and non-MENAAP country groups, where the cumulative count of active trade measures in 2016 is indexed to 1. Active measures are those implemented and not yet removed during the given year. When no removal date is provided, a trade measure is counted as active if its status in the GTA data set is indicated as “in force.” Trade measures without implementation date are not considered. Countries with zero active measures in the base year (2016) are excluded from the sample.

Association between the establishment of SEZs and the growth in nighttime lights

Evidence suggests that special economic zones (SEZs) are linked to higher economic activity in nearby areas, as measured by growth in nighttime lights (figure B2.1.1). The analysis covers 132 SEZs in MENAAP countries and 1,821 SEZs in 22 other countries from a sample created by the European Bank for  Reconstruction and Development (EBRD) for which the year of establishment—or, if unavailable, the year of announcement—is known.

The World Bank

Source: World Bank.
Note: Lines trace how South Asia’s growth forecasts for 2024–26 have changed across different issues of the South Asia Development Update between 2023 and 2025.

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2020 HCI: Country Briefs and Data

2020 HCI: Country Briefs and Data

Download the Country Briefs (updated October 2022) that put Human Capital Index (HCI) country data in perspective with Human Capital Complementary Indicators (HCCIs) and specialized Excel files that include detailed data, sources, and methods. These files are available for 172 countries with sufficient data to calculate an HCI value in September 2020. You can download the full HCI 2020 report here. Answers to some frequently asked questions about the HCI can be found here.

Looking for more data? Visit the WBG Databank to see the online HCI database, the HCI World Development Indicator interface, or to find additional metadata. The HCI 2020 also references the socioeconomically-disaggregated Human Capital Index (SES-HCI).