MercadoLibre Increases AI Spending by $30 Million From Prior Quarter

Nov 5, 2026
MercadoLibre increased its AI investment by $30 million from the prior quarter, citing gains in search, customer service, software development and finance operations.

MercadoLibre increased its artificial intelligence investment by $30 million from the prior quarter, according to PYMNTS. The company disclosed the increase alongside its third quarter results on November 4.

MercadoLibre said its AI usage grew faster than its spending. It attributed the difference to improved model selection and wider use of open source models. Revenue from adding a large language model to search exceeded the related model costs through higher conversion and click through rates.

Mago, the company’s fintech AI assistant, now holds 19 million conversations per month. MercadoLibre also said AI doubled the output of its technology teams over the past year and freed almost 20% of the hours worked by its finance teams.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Finance AI Weekly, Enterprise AI Brief or Daily AI Brief.

Also, consider following us on social media:

AI in Finance Enterprise AI AI Brief AI Brief (X)
Free newsletter

Retail & Ecommerce AI Weekly

The weekly on AI in retail and ecommerce: shopping agents, online stores and marketplaces, checkout, and AI inside physical stores.

Guide
AI accounts payable and spend tools

AI accounts payable and spend tools

AI products for invoices, payables and spend

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.