AI Job Risk in Mexico

Average generative-AI exposure of the workforce

0.252

ILO score (0–1). Rank 18 of 20 countries.

People in employment, 2025

60,058,000

ILO modelled estimate

What people in Mexico work as

Share of employment in each ISCO-08 major occupation group, and the group's average generative-AI exposure (ILO score, 0–1). The country figure above is the employment-weighted average of the exposure column.

Occupation group	Share of employment	Exposure (ILO, 0–1)
Skilled agricultural workers and elementary occupations	27.1%	0.15
Service and sales workers	20.7%	0.26
Craft and related trades workers	13.7%	0.17
Professionals	10.9%	0.39
Plant and machine operators, and assemblers	10.3%	0.20
Technicians and associate professionals	8.0%	0.35
Clerical support workers	6.0%	0.53
Managers	3.3%	0.36

Method: each country's employment by ISCO-08 major occupation group (ILOSTAT, ILO modelled estimates) multiplied by the average ILO exposure score of the occupations in that group (ILO Working Paper 140), then added up. The ILO publishes skilled agricultural workers and elementary occupations as one group and leaves out the armed forces. The figure uses the ILO's 0–1 scale, not the 0–100 occupation index used elsewhere on this site, and it treats an occupation as equally exposed in every country.

How to read this page in practice

The notes below explain how to read the country figure, what kind of occupation mix raises or lowers it, and what this comparison can and cannot tell you.

How to Read This Country

Mexico is best read as two economies moving at different speeds. The maquiladora and automotive-manufacturing belt along the northern border is deeply integrated into North American supply chains, and the office layer around it, purchasing, quality documentation, logistics scheduling, customer communication, is increasingly exposed to AI-assisted tools. The plant floor itself, along with the country's large informal and small-business services sector, changes much more slowly, since it depends on manual dexterity, physical inspection, and face-to-face commerce that remain largely outside what generative tools can take over.

What drives the figure

Mexico concentrates employment in automotive and electronics manufacturing, maquiladora assembly, logistics tied to cross-border trade, retail and wholesale commerce, tourism, and a large informal services sector. AI pressure concentrates in supply-chain planning, procurement documentation, customer support, and standardized back-office work at manufacturers and their corporate suppliers, especially those integrated with US and Canadian partners. It moves more slowly on the factory floor, where assemblers, machine operators, and quality inspectors depend on manual precision and physical judgment, and in the informal commerce and tourism-service jobs that make up much of urban employment.

What Holds Up Better

The roles that hold up best in Mexico are grounded in physical assembly, hands-on maintenance, and direct customer service. Line workers, equipment technicians, and quality inspectors in the manufacturing belt remain essential because their work involves physical manipulation and situational judgment on the shop floor, not paperwork. Tourism, hospitality, and the informal retail and food-service economy also depend on face-to-face interaction and local trust that AI tools do not replace, and nearshoring investment is, if anything, adding more of this physical-production work rather than reducing it.

What This Page Does Not Claim

A national score blends a highly export-oriented manufacturing corridor near the US border with services and informal-economy work spread across the rest of the country, two labor markets with very different exposure profiles. Nearshoring is actively reshaping demand in ways a static score cannot fully capture, since it is adding physical production jobs even as it professionalizes the administrative layer around them. Read the score alongside a region's specific tie to manufacturing versus domestic services.

Jobs Most At Risk from AI

This table is a current snapshot of the jobs that appear on the higher-risk side within this country profile. It is useful as a directional comparison, not as a permanent national ranking. Both lists only include jobs in the three occupation groups that employ the most people in Mexico, ordered by exposure index.

Rank	Job	Occupation group	Generative-AI exposure
1	Telemarketer	Service and sales workers	93
2	Retail Salesperson	Service and sales workers	79
3	Retail Cashier	Service and sales workers	75
4	Tour Guide	Service and sales workers	60
5	Model	Service and sales workers	59
6	Flight Attendant	Service and sales workers	56
7	Waiter	Service and sales workers	51

Jobs Safest from AI

This table shows the jobs that currently appear on the lower-risk side within this country profile. Read it as a structural comparison of work, not as a guarantee that these roles will stay unchanged.

Rank	Job	Occupation group	Generative-AI exposure
1	Housekeeper	Skilled agricultural workers and elementary occupations	13
2	Fisherman	Skilled agricultural workers and elementary occupations	17
3	Welder	Craft and related trades workers	18
4	Construction Worker	Skilled agricultural workers and elementary occupations	19
5	Carpenter	Craft and related trades workers	19
6	Elevator Technician	Craft and related trades workers	22
7	Aircraft Mechanic	Craft and related trades workers	23
8	Firefighter	Service and sales workers	25
9	Baker	Craft and related trades workers	27
10	Renewable Energy Technician	Craft and related trades workers	27
11	Plumber	Craft and related trades workers	28
12	Automotive Technician	Craft and related trades workers	29
13	Farmer	Skilled agricultural workers and elementary occupations	32
14	Warehouse Operator	Skilled agricultural workers and elementary occupations	34
15	Electrician	Craft and related trades workers	36
16	Mechanic	Craft and related trades workers	38
17	Security Guard	Service and sales workers	39
18	Barista	Service and sales workers	39
19	HVAC Technician	Craft and related trades workers	41
20	Bartender	Service and sales workers	43

Sources

Exposure index calculated by ai-job-risk.net from the datasets below (data as of October 15, 2026). US labour figures are from the BLS, unchanged.

The publishers did not prepare, review or endorse this site. Full citations, licences and method

Frequently asked questions

Q.Which jobs are most at risk from AI in Mexico?

Most exposed: Telemarketer, Retail Salesperson, Retail Cashier. Mexico concentrates employment in automotive and electronics manufacturing, maquiladora assembly, logistics tied to cross-border trade, retail and wholesale commerce, tourism, and a large informal services sector. AI pressure concentrates in supply-chain planning, procurement documentation, customer support, and standardized back-office work at manufacturers and their corporate suppliers, especially those integrated with US and Canadian partners.

Q.Which jobs are safest from AI in Mexico?

Least exposed: Housekeeper, Fisherman, Welder. The roles that hold up best in Mexico are grounded in physical assembly, hands-on maintenance, and direct customer service. Line workers, equipment technicians, and quality inspectors in the manufacturing belt remain essential because their work involves physical manipulation and situational judgment on the shop floor, not paperwork.

Q.How exposed is Mexico to AI automation?

Mexico is best read as two economies moving at different speeds. The maquiladora and automotive-manufacturing belt along the northern border is deeply integrated into North American supply chains, and the office layer around it, purchasing, quality documentation, logistics scheduling, customer communication, is increasingly exposed to AI-assisted tools. The plant floor itself, along with the country's large informal and small-business services sector, changes much more slowly, since it depends on manual dexterity, physical inspection, and face-to-face commerce that remain largely outside what generative tools can take over.

Q.Does high exposure mean jobs will disappear in Mexico?

A national score blends a highly export-oriented manufacturing corridor near the US border with services and informal-economy work spread across the rest of the country, two labor markets with very different exposure profiles. Nearshoring is actively reshaping demand in ways a static score cannot fully capture, since it is adding physical production jobs even as it professionalizes the administrative layer around them. Read the score alongside a region's specific tie to manufacturing versus domestic services.