MercadoLibre increases AI spending by $30 million to boost efficiency

Scaling the AI investment

MercadoLibre has announced a significant expansion of its artificial intelligence budget, increasing its investment by $30 million quarter-over-quarter. This move comes as the company seeks to solidify its position in the competitive e-commerce and FinTech markets. The company reported that its actual usage of AI is growing much faster than the amount of money it is spending to power these systems.

To manage these costs effectively, the firm is focusing on strategic model selection. Instead of using the most expensive tools for every task, MercadoLibre is getting better at identifying which specific models are best suited for different needs. This approach allows the company to maintain high performance without ballooning its operational expenses as the technology scales.

A key part of this strategy involves the expanded use of open-source models. By incorporating these publicly available frameworks, MercadoLibre can customize its AI capabilities while avoiding some of the high licensing fees associated with closed systems. This balance of proprietary and open-source technology is helping the company achieve better internal efficiencies and consumer-facing results.

Impact on customer experience

One of the most visible applications of this investment is Mago, the AI assistant integrated into the company's FinTech platform, Mercado Pago. Mago is currently responsible for holding 19 million conversations every month with users. The company notes that the assistant is not only handling high volumes of queries but is also actively improving the overall user experience.

The success of Mago is being measured through specific engagement metrics and customer satisfaction. Chief Financial Officer Martín de los Santos noted that the company is seeing an improvement in its Net Promoter Score, which is a measure of how likely customers are to recommend a service. This suggests that users find the automated interactions helpful rather than frustrating.

Beyond satisfaction scores, the AI assistant is driving tangible financial behavior. The company reported that Mago is helping to increase engagement with the platform, leading to more of the users' funds being moved into Mercado Pago. By providing a seamless way to interact with financial tools, the AI is helping to deepen the relationship between the brand and its customers.

Revenue and productivity gains

MercadoLibre is also seeing direct revenue uplift from its AI deployments, particularly within its search functionality. The company integrated a Large Language Model (LLM)—a type of AI trained on vast amounts of text—into its search algorithm. This change has led to measurable increases in both click-through rates and incremental conversions.

The company stated that the extra revenue generated by these improved search results more than compensates for the costs of running the models. This provides a clear example of how AI can serve as a profit center rather than just a cost center. By helping users find what they want more quickly, the platform is successfully converting more browsing activity into completed sales.

In addition to top-line growth, AI is significantly impacting the company's internal productivity. The technology has helped double the output of the company's technology teams over the last year. These gains allow the engineering and product teams to ship updates and features at a much faster pace than they could previously without additional headcount.

Internal cost avoidance

The company is also using AI to streamline its back-office operations and reduce the need for human intervention in repetitive tasks. In the customer service department, the implementation of AI has reduced the requirement for human representatives by a multiple. This allows the company to scale its support capabilities without a linear increase in staffing costs.

The finance department has seen similar benefits in terms of time savings. According to the company's report, AI tools have freed up almost 20% of the hours worked by the finance teams. By automating data processing and routine financial tasks, the company can redirect its human employees toward more complex analytical work.

These internal efficiencies contribute to what the company calls cost avoidance. By using AI to handle high-volume, low-complexity tasks in both finance and customer service, MercadoLibre is protecting its margins. The goal is to create a leaner organizational structure where technology handles the heavy lifting of data and communication.

The path forward for MercadoLibre

As MercadoLibre continues to increase its AI spending, the focus remains on maximizing the return on investment. The company is moving toward a model where AI is deeply embedded in every facet of the business, from the way products are discovered to the way customer disputes are resolved. The success of Mago and the search algorithm serves as a blueprint for future deployments.

The company's ability to balance high-growth AI usage with disciplined spending will be a key indicator of its success. By leveraging open-source models and optimizing model selection, MercadoLibre aims to stay ahead of competitors who may be spending more on less efficient AI strategies. The focus is on measurable metrics like conversion rates and productivity hours.

Looking ahead, the company will likely continue to expand the scope of Mago and other internal tools. As the technology matures, the goal is to see even greater improvements in user engagement and cost savings. The current results suggest that the company's