MercadoLibre, Inc. (MELI)

Latin American marketplace, logistics and fintech. Read October 19, 2026 from the annual report for the period ending December 31, 2025, filed February 25, 2026. Ranked 25 of the 94 Consumer Cyclical companies read so far, by the share within reach now.

A marketplace company whose filing counts its employees by country and its technology staff but nothing else by function, so the logistics, platform, finance and delivery patterns follow description.

The figures on this page come from the company's own annual report and from BLS staffing patterns for its industries, never from a roster. They are estimates with a stated method. Nothing here says what the company will do: within reach is not a forecast of jobs lost or of savings.

What follows from the reading

Share of working time within reach of AI, on the long-run pace at four in five: 23% now, 36% at the end of 2027, 41% at the end of 2028, 43% at the end of 2030. By the patterns, the work is about 43% desk work, 16% people work and 41% body work. These are the site's industry estimates weighted by the shares below: estimates with a stated method and range, not a forecast of what the company will do. By the same patterns, at the end of 2028 about 57% of the working time stays with people (conversation, in-person and hands-on work), 31% becomes checking a model's work and 9% could be handed over with lighter checks, from the industries' own figures, not the company's roles.

Headcount

123,670 employees as of December 31, 2025 (stated). 27 of 123,670 employees are in the United States; 61,139 are in Brazil, 34,336 in Mexico and 16,726 in Argentina.

The filing: “The following table shows the number of our employees by country as of December 31, 2025: Brazil 61,139; Mexico 34,336; Argentina 16,726; Colombia 5,848; Chile 3,617; Uruguay 1,858; Peru 65; United States 27; Venezuela 25; Spain 16; Ecuador 7; China 6; Total 123,670.”

The workforce as industry patterns

What the filing says about the workforce: 123,670 employees by country: Brazil 61,139, Mexico 34,336, Argentina 16,726, Colombia 5,848, Chile 3,617, Uruguay 1,858, Peru 65, United States 27 and smaller numbers elsewhere; 20,347 in information technology and product development, up 11%; more than 39,000 hired in 2025, mostly in Technology, Product and Logistics; the workforce almost quadrupled from 29,957 in four years; some employees in Brazil, Argentina, Mexico, Uruguay and Chile are represented by unions.

Companies read with the same leading pattern

Other companies whose largest staffing pattern is also Warehousing and Storage, largest first, each read from its own annual report. Within reach now and at the end of 2028, long-run pace, four in five.

• Amazon (AMZN, 1,576,000 employees)19% now, 33% by 2028
• Coupang, Inc. (CPNG, 108,000 employees)18% now, 21% by 2028
• GXO Logistics, Inc. (GXO, 105,000 employees)17% now, 22% by 2028
• Ryder System, Inc. (R, 51,600 employees)18% now, 23% by 2028
• Iron Mountain Incorporated (IRM, 29,400 employees)18% now, 28% by 2028
• Lineage, Inc. (LINE, 24,000 employees)17% now, 22% by 2028

What the filing says about AI

60 sentences in the filing name AI. The filing describes AI in its own work: learning algorithms behind its proprietary credit risk scoring, generative AI adoption expanding across the organization, and internal measurements that about 30% of the code reaching production is written with the use of AI.

• “Our distribution capabilities and in-depth understanding of our customers' behavior and merchants' sales on the Mercado Libre Marketplace combined with machine learning ("ML") (pillar of artificial intelligence ("AI")) algorithms have allowed us to develop our own proprietary credit risk models with unique data that differentiate our scoring from traditional financial institutions.”
• “Generative AI ("GenAI") adoption at MercadoLibre has continued to expand across the organization.”
• “Internal measurements show that about 30% of the code that reaches production is written with the use of AI.”
• “This blended figure reflects differences across our portfolio, where mature, large-scale systems and newer environments show varying levels of AI-generated code.”
• “All code written with AI is incorporated through our established development, review, and release processes.”

Its annual reports, year by year

Sentences naming AI in each annual report, counted by one rule, beside the median report in the Index that year. Each count links its filing. Every company, by year and sector

• Fiscal 20215median 0
• Fiscal 20223median 0
• Fiscal 20239median 1
• Fiscal 202435median 4
• Fiscal 202560median 10

Headcount by filing year

As reported in each year's annual report, with the filing. A year marked not read had no figure the reading could take from the report's text.

Limits of this reading

• The universe row and the industry hint held 20,347, the filing's information technology staff count; the human capital table's total of 123,670 replaces it (rule 2).
• Pattern shares beyond the stated technology count rest on the filing's description (c); it counts employees by country, not by function.
• Almost all employees are outside the United States (27 of 123,670); the patterns apply abroad because the work is the same (rule 7).

Source: the company's annual report on EDGAR, accession 0001099590-26-000006, the filing. Read by Claude Fable 5.1 under rubric version 1, by the method. A company can write to info@stratussc.com to have its reading checked against its filing.