Israel vs Jordan: AI Job Risk in Neighbouring Rivals

Two neighbours, one shared score ceiling, radically different floors

The peace treaty between Israel and Jordan, signed in October 1994, made Jordan the second Arab state to normalise relations with Israel. Three decades on, the two countries' labour markets have diverged sharply. Israel's GDP per capita reached $60,337 in 2025 (World Bank Open Data), placing it firmly in high-income territory. Jordan's GDP per capita stood at $5,348 in the same year - a lower-middle-income economy that has carried structural unemployment for most of the post-2008 period.

That economic divergence produces a 1.15-point gap in average AI exposure: Israel at 5.08/10 and Jordan at 3.93/10 (ILO ILOSTAT, CC BY 4.0, 2024 data year). Both countries share the same score ceiling - clerical support workers peak at 8.5/10 in both economies, because task susceptibility is an occupational property, not a national one. What differs is the distribution of workers across occupation groups, the wages they earn, and the speed at which employers can actually deploy AI. Israel has both the capital and the technology ecosystem to move fast. Jordan does not.

Side-by-side: occupation groups in both countries

All figures from ILO ILOSTAT (CC BY 4.0), 2024 data year. Israel OECD average annual wage is from OECD.Stat 2024. No OECD wage data is available for Jordan at any ISCO-1 level.

*Israel wage shown is the overall OECD average annual wage (OECD.Stat 2024, $54,736). Occupation-level breakdown by ISCO-1 group is not available for Israel. No wage data exists for Jordan at this level.

Why Israel's average is higher - the professional density effect

Israel's average AI exposure of 5.08/10 is driven almost entirely by its concentration in professional and knowledge-economy roles. The professionals group covers 1,331,900 workers - 32.7% of Israel's total tracked workforce of 4,073,000 (ILO ILOSTAT 2024). That share is the highest of any country in this regional comparison set. Add technicians and associate professionals (619,800 workers at 5.5/10) and managers (296,000 at 5.5/10), and these three groups together account for 2,247,700 Israeli workers - 55.2% of the workforce - all scoring 5.5 or above.

Israel's technology sector is well established. The country has a high density of software engineers, cybersecurity professionals, biotech researchers, financial analysts, and data scientists. These professional roles score 6.5/10 on AI exposure because they involve substantial structured data work, analysis, documentation, and research tasks - exactly the task categories current AI tools are most capable of assisting with or partially automating. The same technology ecosystem that makes Israeli professionals productive in 2026 is also the ecosystem deploying the AI tools most likely to shift how those professionals work.

Jordan's professional group covers 527,200 workers - just 18.4% of its 2,858,000-worker workforce. Jordan's economy is more heavily weighted toward services, trade, logistics, and construction trades, which score lower. This structural difference - not any difference in task susceptibility by occupation type - explains most of the gap between the two averages.

Jordan's 16.54% unemployment - AI arrives on top of a strained market

Jordan's unemployment rate of 16.54% (World Bank 2025) is one of the highest in the Middle East and among the highest of any country in this dataset. Israel's unemployment rate is 3.49% (World Bank 2025) - less than a quarter of Jordan's. The difference is not cyclical. Jordan has carried elevated unemployment for over a decade, driven by rapid population growth, large refugee inflows (Jordan hosts one of the world's largest refugee populations relative to its size), limited natural resources, and insufficient economic diversification to absorb new labour market entrants.

The implication for AI displacement is direct. When 16.54% of the workforce is already unemployed, additional AI-driven displacement does not land in a labour market with slack to absorb it. Jordan's clerical workers (101,500 at 8.5/10) and professional workers (527,200 at 6.5/10) together represent 628,700 people in the two highest-risk groups. Even modest AI-driven reduction in those roles would worsen a jobless rate already at a structural high.

The partial counterargument is deployment pace. Jordan's GDP per capita of $5,348 means most Jordanian employers face a weak business case for enterprise AI investment when labour is abundant and relatively cheap. When automation ROI is low and the cost of retaining workers is modest, the economic incentive to displace workers with AI weakens substantially. This acts as a de facto buffer - not by reducing task susceptibility, but by reducing the financial incentive to act on it.

Economy context: Israel vs Jordan

The table below uses World Bank Open Data (CC BY 4.0, 2025) and UNDP Human Development Report 2025 (HDR 2025, 2023 data year, licence CC BY 3.0 IGO).

Israel's risk velocity of 7.6/10 reflects an active technology ecosystem, high capital availability, and AI investment already visible in fintech, legal tech, and healthtech firms where Israeli professionals are concentrated. Disruption is not hypothetical - it is underway. Jordan's risk velocity of 0.8/10 reflects limited technology infrastructure investment, low employer capital for AI adoption, and an economy where the automation business case is constrained by cheap available labour.

The safest jobs from AI in both countries

Elementary occupations score 2.0/10 in both countries - Israel has 197,500 workers here; Jordan has 396,600. Craft and related trades workers score 2.5/10 - Israel has 306,900; Jordan has 408,400. Physical, hands-on work in variable environments resists automation equally in both economies, regardless of GDP or technology access.

Jordan's service and sales workforce deserves emphasis. At 1,074,700 workers - 37.6% of the total - it is the largest single occupation group in Jordan. A score of 3.5/10 places it well below the clerical and professional groups that dominate AI displacement headlines. Jordan's economy runs on trade, hospitality, retail, and logistics - roles involving face-to-face interaction, physical service delivery, and contextual judgment that current AI cannot replicate at mass deployment scale. For these 1.07 million Jordanian workers, near-term AI displacement risk is low.

What this means for workers in both countries

For Israeli professionals (1,331,900 workers, score 6.5/10, OECD average annual wage $54,736 from OECD.Stat 2024), the AI disruption question is real and near-term. Israel's technology sector is actively deploying AI tools in legal, financial, healthcare, and software development workflows. Workers whose roles involve structured analysis, documentation, research, and data synthesis are already seeing task composition shift. The high wage level means employers have strong financial incentive to find productivity gains - reducing hours for the same output, or eliminating roles that previously required a full-time person.

For Israel's clerical workers (265,200 at 8.5/10), risk velocity of 7.6/10 means disruption is not 5 to 10 years out. Administrative support, data entry, scheduling, and correspondence management are already being targeted by AI workflow automation tools in Israeli fintech, insurance, and enterprise software firms. Workers in these roles who do not develop adjacent capabilities - data analysis, client relationship management, workflow design - face the most acute near-term pressure.

For Jordanian workers, the picture is different in kind. Jordan's 101,500 clerical workers at 8.5/10 and 527,200 professional workers at 6.5/10 are technically high-risk. But Jordan's 0.8/10 risk velocity, $5,348 GDP per capita, and limited technology infrastructure push realistic displacement timelines well beyond the near term. The more pressing concern is the existing 16.54% unemployment rate - a structural problem that AI will not cause but would worsen significantly if displacement in high-exposure, relatively well-paying clerical and professional roles arrives before the broader market recovers.