Costa Rica AI Job Risk 2026: Which of 2.19 Million Workers Are Most Exposed?

2.19 million workers, ILO ILOSTAT data

Employment data comes from ILO ILOSTAT (CC BY 4.0), based on INEC Costa Rica's Encuesta Continua de Empleo (Continuous Employment Survey). Classification follows ISCO-08 major group structure across Costa Rica's 2.19 million employed workers. Costa Rica's data quality is among the highest in Central America, reflecting the country's stable democratic institutions and long-running statistical capacity at INEC.

Costa Rica's economic model is distinctive in the region: since the 1990s, the country has pursued a Free Zone strategy that attracted Intel (which at its peak accounted for nearly 20% of Costa Rican exports), followed by medical device manufacturers (Abbott, Boston Scientific, Medtronic, Baxter), business process outsourcing companies, and more recently cloud computing and AI-adjacent tech firms. This strategy has produced a workforce with a larger professional and technical cohort than most countries of comparable GDP per capita.

The most AI-exposed jobs in Costa Rica

Clerical support workers score 8.5/10 on AI exposure and cover 175,000 workers - 8% of total Costa Rican employment. This is a notably high clerical share for a country of Costa Rica's income level, reflecting the concentration of administrative and back-office functions in the Free Zone multinationals. Companies like Amazon, HP, Western Union, and dozens of others operate shared services centres in San Jose's Ultrapark and nearby zones, employing thousands of workers in data processing, customer support coordination, and administrative roles.

AI tools for back-office automation - document processing, data entry validation, scheduling automation, and customer query routing - are being actively deployed by precisely these multinational companies in their global operations. Their Costa Rican operations are directly in the path of these rollouts, and the timeline is shorter than for domestically owned businesses: multinational shared services centres in Costa Rica are likely to feel meaningful AI augmentation within 2-4 years as global procurement decisions on administrative AI are implemented locally.

Professionals at 6.5/10 cover 311,000 workers across a wide range. Software developers working for Free Zone tech companies face the most direct AI augmentation through code generation tools. Medical device quality engineers face AI-driven quality control systems. Financial analysts at BPO firms face AI-powered financial modelling tools. The common thread is that Costa Rica's professional class is concentrated in exactly the industries that are earliest in AI adoption globally - tech, medical devices, finance, and logistics.

Medical devices, robotics risk, and manufacturing workers

Plant and machine operators score 3.0/10 on AI exposure but 7.5/10 on robotics risk, covering 198,000 workers (9% of employment). Costa Rica's medical device manufacturing sector is the most significant employer in this category: Abbott, Boston Scientific, Medtronic, and Baxter all manufacture precision medical components in Costa Rica. These facilities are already highly automated by global manufacturing standards, and the next wave of robotics investment in precision assembly (robotic catheter assembly, automated stent production) is directly relevant to these 198,000 workers.

The medical device sector's robotics trajectory is faster than general manufacturing because of quality and regulatory requirements: FDA-grade precision is more consistently achieved by robotic systems than by manual assembly for many component types. Workers in this sector should expect continued automation investment regardless of the labour cost picture, because quality consistency requirements drive automation even when labour costs are low.

What this means for Costa Rican workers

Costa Rica's 4.06/10 weighted average AI exposure is the highest in Central America by a significant margin, reflecting the Free Zone model that has successfully attracted high-value multinational operations. This is good for wages and economic development - but it also means Costa Rican workers face a faster AI adoption timeline than their regional peers in Guatemala, Honduras, or Nicaragua.

The professional and clerical workers in Costa Rica's Free Zones should treat AI augmentation as a near-term certainty within 2-4 years, not a distant possibility. The practical implication is to develop the skills that complement AI tools: prompt engineering, output review, AI-assisted workflow design, and the interpersonal skills that multinational companies need from their local teams. Costa Rica's education system - consistently high literacy and tertiary enrollment rates by regional standards - provides a better foundation for this upskilling than most Central American peers.