Iran vs Iraq: AI Job Risk in Two Oil Economies 2026

Two oil economies, almost identical average scores - different reasons

Iran and Iraq are neighbours with parallel economic histories: both are oil-dependent MENA economies, both have experienced international isolation (Iraq's post-2003 reconstruction period, Iran's sanctions regime), and both have workforces heavily concentrated in lower AI-exposure occupation categories. The near-identical weighted average AI exposure scores - 3.71 for Iran (ILO ILOSTAT 2024, 24,075,550 workers) and 3.77 for Iraq (ILO ILOSTAT 2021, 8,462,600 workers) - emerge from different workforce structures that happen to produce similar outputs.

Iran's lower average is driven by a large craft and trades workforce: 4,572,400 workers at 2.5/10 AI exposure, the country's biggest occupation group. Iraq's slightly higher average reflects a workforce with a larger service and sales share (23.5% at 3.5/10) but also a proportionally larger professional class (16.6% at 6.5/10) - more than Iran's 12.5%. Iraq's professionals sector at 1,405,000 workers includes a substantial public-sector administrative class built during the post-2003 reconstruction period. Both countries lack OECD-comparable wage data at the ISCO-1 level, so wage comparisons are not possible within this dataset.

Side-by-side: occupation groups in both countries

The table below uses ILO ILOSTAT data (CC BY 4.0) for both countries - 2024 data year for Iran, 2021 data year for Iraq. Neither country has OECD-comparable wage data at the ISCO major group level, so wage columns are not included.

Iraq has a notable armed forces occupation category at 443,200 workers (5.2% of tracked employment, score 2.5/10) - reflecting the post-ISIS reconstruction period when military headcount expanded significantly. This group does not appear in Iran's ILO ILOSTAT data as a separate category. Iraq's professional class at 16.6% is proportionally larger than Iran's 12.5%, partly because post-2003 Iraq built a large public administration apparatus supported by oil revenues. Both of those structural features predate the 2021 data year and may have shifted since.

Why velocity 0.5 does not mean Iraq is safer - it means AI is blocked

Risk velocity measures how quickly AI tools can actually be deployed in an economy - it incorporates infrastructure quality, capital availability, regulatory environment, and technology access. Iraq's velocity of 0.5 is one of the lowest in the WorldJobsData dataset. This does not mean Iraqi workers face less AI disruption over any long horizon. It means the preconditions for deployment are absent right now.

Iraq's electricity infrastructure is chronically deficient. The country generates roughly 24,000 megawatts of installed capacity against demand that peaks above 30,000 megawatts in summer - producing outages of 8 to 12 hours per day in Baghdad and longer in southern provinces (Iraq Ministry of Electricity reports, 2024). AI deployment at scale requires reliable 24/7 power for data centres, cloud computing infrastructure, and the connected devices that run AI workflows. In this environment, even employers who want to adopt AI tools face basic operational constraints that make sustainable deployment impossible.

Iraq's telecommunications infrastructure is also significantly below regional average. Mobile broadband penetration and fixed internet connectivity lag Gulf neighbours by a decade in most metrics. Without reliable high-speed internet, cloud-based AI services - which represent the dominant and cheapest deployment model globally - cannot function at enterprise scale. Iran faces sanctions on US technology platforms, but it has significantly better domestic electricity and internet infrastructure than Iraq. Iran's velocity of 4.9 reflects that - constrained but not blocked.

Iran's larger professional class faces greater near-term analytical risk

Iran's professional class at 3,013,500 workers (12.5% of total, score 6.5/10) is more than twice the size of Iraq's 1,405,000 professional workers in absolute terms. For AI exposure purposes, professionals face automation risk primarily in analytical, drafting, classification, and advisory tasks - the kind of knowledge work that large language models perform most effectively. Iran's professional sector includes engineers, scientists, doctors, lawyers, and teachers, many with strong STEM training.

For Iranian professionals, the sanctions technology gap creates an interesting double bind. Their task-level exposure to AI disruption is real (score 6.5/10). But the tools that would actually displace their analytical work - frontier AI platforms, enterprise-grade LLM APIs - are precisely the US-origin tools blocked by OFAC export controls. Iran is developing domestic AI alternatives under state programs, but no Iranian domestic AI product has yet reached the capability threshold at which it would materially reduce demand for professional analytical labour at scale. This creates a temporary buffer that could disappear rapidly if geopolitical conditions change or domestic capability accelerates.

Economy context: Iran vs Iraq

The safest jobs from AI in both countries

Both countries share the same floor on AI exposure. Elementary occupations score 2.0/10 in both - covering 3,417,300 workers in Iran and 490,700 in Iraq (ILO ILOSTAT 2024 and 2021 respectively). These include cleaners, labourers, refuse workers, and other physical task workers in variable environments. Craft and related trades workers score 2.5/10 in both countries: Iran has 4,572,400 craft workers (its largest occupation group, 19% of total), Iraq has 1,791,200 (21.2% of total).

What this means for workers in both countries

For Iranian workers, the clerical sector at 843,800 workers and score 8.5/10 faces genuine long-term risk - but the combination of blocked access to Western AI platforms, a domestic AI ecosystem still at early stages, and 8.3% unemployment pushing down automation ROI means the 1-3 year disruption horizon seen in the US and Europe does not apply here. A 7-12 year horizon is more realistic, contingent on geopolitical change. Iranian professionals at 3,013,500 workers face the most complex picture: their task exposure is real (6.5/10) but the tools that would enact it are blocked.

For Iraqi workers, the velocity assessment of 0.5 reflects current impossibility rather than long-term safety. When Iraq's electricity and internet infrastructure reach sufficiency for enterprise AI deployment - which reconstruction timelines suggest could happen over a 5-10 year horizon in favourable political conditions - the underlying occupational exposure will reassert itself. Iraq's 15.5% unemployment rate means workers in exposed roles have less bargaining power and fewer alternatives than their counterparts in higher-employment economies. The double burden of AI exposure and pre-existing high unemployment is a risk factor not captured in the score alone.