T&T AI Job Risk 2026: Which of 582k Workers Are Most Exposed?

582,000 workers, ILO ILOSTAT 2010 data

Employment data comes from ILO ILOSTAT (CC BY 4.0), based on the Central Statistical Office (CSO) of Trinidad and Tobago Labour Force Survey, using ISCO-08 major group classifications. Data year: 2010. Covers approximately 581,500 formally surveyed workers. A key context note: 2010 is the oldest data point alongside Republic of Congo in the WorldJobsData dataset, and it represents T&T at a structurally different moment than today. The LNG sector was at peak production, the government was running fiscal surpluses, and construction was active. The oil price crash of 2014-16 subsequently contracted the economy significantly, reducing employment in energy-adjacent roles.

Trinidad and Tobago's economy in 2010 rested on two pillars. The first was energy: T&T was the largest LNG exporter in the Western Hemisphere, with Atlantic LNG's four-train facility at Point Fortin supplying the United States and European markets. Petrotrin, the state oil company (now restructured into Heritage Petroleum and Paria Fuel Trading), ran refineries at Pointe-a-Pierre employing thousands. The National Gas Company of Trinidad and Tobago (NGC) managed the inland pipeline network supplying feedstock to downstream petrochemical plants. This energy complex explains the technician and manager concentrations visible in the 2010 data.

The second pillar was a service and construction economy running in parallel. Port of Spain's Independence Square housed regional banks - Republic Bank, First Citizens, Scotiabank, RBC - alongside insurance companies and government ministries. San Fernando's commercial district served the southern oil belt. Tobago ran a separate tourism economy, smaller but distinct. The elementary worker concentration at 19.4% reflects domestic service, informal trading in the city markets, and construction labour on housing and highway projects funded by energy revenues. These two economies, white-collar Port of Spain and informal south-and-construction, explain T&T's divergent AI exposure profile.

The most AI-exposed jobs in Trinidad and Tobago

Clerical support workers score 8.5/10 on AI exposure - the highest score in T&T's occupation profile. The 66,700 clerical workers at 11.5% of employment are concentrated in Port of Spain's banking district, in NGC and Petrotrin administrative headquarters, in government ministries along Wrightson Road, and in the shared services centres that energy multinationals operated from T&T's central business district in 2010. Their core tasks - processing invoices, entering data into enterprise resource planning systems, handling correspondence, scheduling - are precisely the workflows that robotic process automation and AI systems target first in financial and energy companies.

AI adoption in Caribbean banking and energy administration follows global group-level decisions. When a bank like Scotiabank or RBC deploys AI tools across its operations, those tools reach Port of Spain on the same timeline as Toronto or Edinburgh. The clerical workers at Republic Bank's Independence Square headquarters face the same automation pressure as a bank clerk in any comparable financial centre - the difference is that T&T has weaker retraining infrastructure and a smaller technology labour market to absorb displaced workers into new roles.

Technicians at 11.8% - 68,800 workers scoring 5.5/10 - is the figure that most distinguishes T&T from its Caribbean peers in this dataset. Jamaica, for comparison, shows a far smaller technician share. T&T's technician concentration reflects Atlantic LNG's process control and instrumentation workforce at Point Fortin, Petrotrin's refinery technicians at Pointe-a-Pierre, and NGC's pipeline monitoring and maintenance teams. AI-assisted process monitoring is already deployed in LNG facilities globally, but the physical presence required for maintenance, fault diagnosis, and plant safety management keeps the near-term automation risk in the mid-range rather than the high end.

The safest jobs in Trinidad and Tobago

Elementary occupations score 2.0/10 on AI exposure in Trinidad and Tobago, covering 112,800 workers at 19.4% of employment - the largest single occupation group. These workers are in domestic service (housekeeping, childcare, gardening), informal market trading at the Port of Spain and San Fernando central markets, construction labouring on housing and highway projects, and agricultural harvesting. The manual, physical, and relationship-dependent nature of this work provides the clearest buffer against near-term AI displacement. No current AI system replaces a market vendor, a domestic worker, or a construction labourer operating in T&T's informal sector.

Craft and trades workers score 2.5/10, covering 94,700 workers at 16.3% of employment. This category includes carpenters, plumbers, electricians, masons, and auto mechanics - trades running a largely informal economy of self-employed and small-firm workers servicing T&T's car-dependent island transport system, its residential construction sector, and the maintenance needs of a population with high home-ownership rates. Plant and machine operators score 3.0/10, covering 53,900 workers - petrochemical plant operators, heavy vehicle drivers, and manufacturing machine operators whose physical work and machinery management require on-site human presence.

What this means for T&T workers

T&T's AI exposure profile divides along a familiar line: white-collar Port of Spain faces genuine near-term risk, while the construction, trades, and elementary workforce does not. For the 66,700 clerical workers in banking, energy administration, and government, AI adoption is not a future scenario - it is a current process happening at group level in the institutions that employ them. Workers in administrative roles at Republic Bank, NGC, bpTT, or government ministries should treat digital skills and AI literacy as an immediate priority, not a five-year horizon concern.

The 2010 data adds an important caveat: T&T's economy has contracted significantly since this snapshot was taken. Petrotrin was shuttered in 2018; oil production has declined from its peak; real GDP fell sharply in the mid-2010s and recovery has been uneven. The technician workforce at 11.8% in 2010 almost certainly represents a smaller share today, following restructuring in the energy sector. Workers who were in LNG and refinery technician roles in 2010 faced layoffs from structural decline before AI became relevant to their employment security.

For Tobago's tourism-adjacent workers in service and sales roles (15.98% of the 2010 workforce), the AI risk picture is mixed. Customer-facing hospitality and retail roles score 3.5/10 - below the threshold of immediate concern - but AI-powered booking systems, customer service chatbots, and revenue management tools are already changing the administrative back-end of tourism businesses. Workers in tourism who develop practical technology skills rather than waiting for the sector to restructure around them will be better positioned regardless of whether AI or demand shifts drive the next change.