Guyana AI Job Risk 2026: Which of 248k Workers Are Most Exposed?

248,490 workers, ILO ILOSTAT and Bureau of Statistics Guyana 2021

Employment data comes from ILO ILOSTAT (CC BY 4.0), Bureau of Statistics Guyana (BoS), Labour Force Survey 2021, using ISCO-08 major group classifications. The 2021 survey covers 248,490 formally employed workers and was conducted as Guyana was experiencing the early phase of its oil boom. ExxonMobil's Liza Phase 1 development reached first oil in December 2019, and by 2021 production had ramped to approximately 120,000 barrels per day - making Guyana, with a population of roughly 800,000 people, one of the most significant new oil producers in the western hemisphere on a per-capita basis.

The Bureau of Statistics Guyana (BoS) conducts labour force surveys as part of the national statistical programme. The 2021 survey methodology follows ILO standards and uses ISCO-08 major group classifications, making the data directly comparable to the WorldJobsData dataset across all other countries. Georgetown, the capital, accounts for a disproportionate share of clerical and professional employment. The interior regions - where gold and diamond mining, logging, and indigenous communities predominate - skew heavily toward elementary occupations, skilled agricultural workers, and craft trades.

One structural note on the 2021 snapshot: the oil revenue was flowing to the Guyanese government by 2021 through the Guyana Oil Company (GuySuCo's successor arrangements) and the Natural Resource Fund established in January 2021, but the workforce transformation that economists expected - a shift from agriculture and informal work toward professional and technical roles - was only just beginning. The 2021 data therefore captures Guyana at the inflection point rather than after transformation. A 2024 or 2025 survey would likely show a higher professional share and a lower elementary occupations share, but that data is not yet available in ILO ILOSTAT.

The most AI-exposed jobs in Guyana

Clerical support workers score 8.5/10 - the highest AI exposure score in any ISCO-08 category - and cover 13,560 workers at 5.46% of Guyana's employed workforce. This group includes government ministry administrative staff, bank and credit union clerks, insurance processing staff at the Guyana and Trinidad Insurance Company (GTISC) and similar firms, Revenue Authority data entry clerks, and administrative coordinators in the Georgetown business district. The core tasks of this group - document processing, transaction logging, data entry, correspondence management, and administrative scheduling - are precisely the tasks that AI language models and robotic process automation tools are most capable of performing.

The specific risk profile for Guyanese clerical workers differs from higher-income economies. In Georgetown, the majority of clerical functions are performed in government ministries and public sector entities - the Guyana Revenue Authority, the Ministry of Finance, the Bank of Guyana, and municipal councils. Public sector employment offers more structural protection than private sector equivalents in many countries, because AI adoption in government is slower due to procurement rules, union agreements, and political sensitivity around job displacement. However, the oil boom is attracting private sector investment - banks, law firms, consulting practices, and logistics companies are expanding in Georgetown - and the private sector clerical roles will face automation pressure on a commercial timeline rather than a political one.

Professionals at 6.5/10 (22,450 workers, 9.03%) are the second highest-risk group and the most structurally interesting. The professional class includes petroleum engineers and geologists supporting ExxonMobil, Hess, and CNOOC operations in the Stabroek Block; financial analysts at the newly expanded banking sector; legal professionals handling the contract and regulatory work generated by oil production; healthcare professionals at the Georgetown Public Hospital Corporation and regional health authorities; and academics at the University of Guyana and the University of the West Indies Open Campus. AI tools in document drafting, legal research, financial modelling, and medical image analysis are already deployed in these professions globally and will reach Guyana as oil revenues permit infrastructure investment. As linked in the US AI job risk analysis, professionals globally are among the groups most affected by AI augmentation rather than replacement - productivity tools rather than headcount reduction on a 2-5 year horizon.

Why clerical workers and not service workers?

Service and sales workers at 25.33% (62,940 workers) are the largest single group in Guyana's workforce, but they score only 3.5/10 on AI exposure - well below the clerical group's 8.5/10. This gap reflects the fundamental difference between the types of tasks involved. Service and sales workers in Guyana include retail shop assistants in Georgetown's Regent Street commercial district, restaurant and hospitality workers, market traders, security guards, and personal care workers. These roles require physical presence, social interaction, judgement calls about individual customers and situations, and the ability to operate in variable physical environments - characteristics that current AI cannot replicate in deployable form.

Clerical support workers, by contrast, perform tasks that are definitionally information-based: they process standardised documents, enter data into structured systems, manage correspondence that follows predictable patterns, and coordinate administrative processes that can be described as sequences of rules. These are exactly the tasks that AI language models and robotic process automation tools are trained to handle. The gap between 3.5/10 and 8.5/10 is not arbitrary - it reflects the empirical finding from Frey and Osborne (2017) and the IMF Gen-AI study (2024) that information-processing tasks have substantially higher automation probability than tasks involving physical manipulation, social interaction, or unstructured environmental navigation.

In Guyana's specific context, the oil economy adds another dimension. The Stabroek Block operations employ a small number of highly paid technical and professional workers - the ExxonMobil payroll in Guyana is estimated at several thousand direct employees and contractors - but the indirect employment effect through service sector growth in Georgetown is significant. Restaurant, hospitality, and retail workers in the capital are benefiting from the spending power of the oil workforce. This service sector growth is precisely in the low-AI-exposure categories (3.5/10), which means that Guyana's oil boom may be creating more AI-safe jobs through indirect effects than AI-exposed jobs through direct oil sector employment. Compare this pattern with the Trinidad and Tobago workforce structure, where a more mature oil economy shows a different occupation distribution.

The safest jobs in Guyana

Elementary occupations score 2.0/10 on AI exposure in Guyana - the lowest of any ISCO-08 category - and cover 47,260 workers at 19.02% of employment. This is the second-largest occupational group in the country. Elementary workers include cleaning and domestic workers, agricultural labourers on the coastal rice and sugar plantations, construction labourers on Georgetown infrastructure projects, and market porters and packers. The defining characteristic of elementary occupations is the combination of physical task performance, variable environmental conditions, and low task-routinisation - the exact combination that makes AI displacement slow.

Craft and related trades workers score 2.5/10 (30,270 workers, 12.18%) and include construction tradespeople - carpenters, electricians, plumbers, and masons - benefiting directly from the oil boom's infrastructure requirements. Georgetown is undergoing significant construction: new office buildings, hotels, and residential developments are being built to accommodate the growing professional and expat workforce. The physical, site-specific, and variable nature of construction trades work is not automatable on current AI or robotics timelines. The Guyana government's infrastructure investment programme - funded by oil revenues through the Natural Resource Fund - is creating sustained demand for skilled trades workers that will persist for at least a decade regardless of AI developments elsewhere in the economy.

Skilled agricultural workers at 8.07% (20,060 workers, 3.0/10) include rice farmers in the Berbice and Demerara-Mahaica regions and workers on the remaining Guyana Sugar Corporation (GuySuCo) estates. Agriculture in Guyana faces economic pressure not primarily from AI but from the structural competition of the oil economy for labour - the wage premium of Georgetown's oil-adjacent service sector is pulling workers off farms, creating agricultural labour shortages in some regions even as AI risk in agriculture remains low.

What this means for Guyana workers

Guyana's 3.76/10 weighted average AI exposure is among the lower readings in the WorldJobsData dataset, which reflects the honest reality: most Guyanese workers in 2021 were in physical, service, and informal roles that AI cannot easily displace. This is not cause for complacency - it reflects an economy that is still in the earlier stages of the transition toward knowledge-intensive work that oil revenues could eventually fund. The real AI risk question for Guyana is not whether the 2021 workforce structure is vulnerable but whether the post-oil-boom workforce of 2030 and 2040 will have the occupational distribution of a higher-income country with higher AI exposure - and whether Guyanese workers will be equipped to navigate that transition.

For Guyana's 13,560 clerical workers, the near-term risk is real on a 5-10 year horizon as Georgetown's private sector expands and brings corporate AI adoption timelines with it. Government clerical workers have more structural protection in the near term due to public sector procurement inertia, but the Guyana Revenue Authority and Ministry of Finance are both investing in digital systems that will reduce the headcount requirements for manual data processing. Workers in clerical roles who are early in careers should treat proficiency in the specific enterprise software used by their employer - and familiarity with AI-assisted tools for document drafting and data analysis - as essential career investments regardless of sector.

For Guyana's professional class (22,450 workers, 6.5/10), the AI story is augmentation rather than replacement. Petroleum engineers using AI-assisted seismic analysis tools, lawyers using AI for contract review and due diligence, and financial analysts using AI for modelling will be more productive - and more valuable - than those who do not. The US vs World AI jobs comparison and the UK AI job risk analysis both show that professionals in higher-income economies are already using AI augmentation tools and that the productivity differential between AI-fluent and AI-reluctant professionals is measurable. Guyana's oil economy is attracting international firms with global AI adoption standards - the timeline for Guyanese professionals facing AI-augmented competitors is therefore shorter than a purely domestic analysis would suggest. For further Caribbean context, the Suriname workforce analysis shows a neighbouring economy with a similar structure and comparable AI exposure patterns.