Globant Q2 Earnings Call Highlights

AI services are scaling rapidly: Globant’s Glob.AI annual recurring revenue rose to $52.8 million from $32.8 million in March, and the company now expects at least $110 million by year-end. AI Pods have been adopted by 45 clients and generate margins roughly 10 percentage points above traditional delivery. Core growth was mixed: Second-quarter revenue reached $614.4 million, up 1.2% sequentially, with strong performance from larger clients, Europe, Latin America, and the Data and AI Studio. North America and new markets declined amid longer decision cycles, travel-sector weakness, and conflict-related delays. Profitability and outlook weakened: Adjusted operating margin fell to 13.2%, and Globant recorded a $32.3 million optimization charge, with another $20 million to $25 million expected in the third quarter. Full-year 2026 revenue guidance was reduced to $2.428 billion-$2.462 billion, though management expects cost savings and increased AI Pod adoption to improve second-half margins.

Globant reported second-quarter 2026 revenue of $614.4 million, up 1.2% sequentially and slightly higher than a year earlier, as the company accelerated its shift toward AI-native services delivered through its AI Pods model. Chief Executive Officer Martín Migoya said the company is developing a delivery and pricing model based on outputs, value and consumption rather than traditional billable hours. The model operates through Glob.AI, a platform launched last week that allows enterprises to deploy AI Pods supported by agentic workflows and human experts.

“As AI Pods deliver more work at higher margin for a similar price, our top line can understate the progress underneath it,” Migoya said. He added that investors should track annual recurring revenue per employee, AI Pod margins and client penetration alongside reported revenue.

Glob.AI annual recurring revenue reached $52.8 million as of June, up from $32.8 million in March. The company expects to exit 2026 with at least $110 million in Glob.AI ARR, raising its earlier expectation of $60 million to $100 million. AI Pod revenue currently represents about 2% of total revenue, with management expecting it to approach 4% by year-end on a run-rate basis.

AI Pods have been adopted by 45 clients and are used by 45% of Globant’s top 20 accounts, according to the company. Migoya said the model’s gross margins run close to 10 percentage points above those of traditional delivery, while revenue per head rose 9.7% year over year to $95,800 on a run-rate basis. Management identified core modernization, experience debt and agentic process transformation as the principal sources of demand. Migoya said the company is increasingly using AI Pods for work such as modernizing legacy systems, rebuilding customer-facing digital experiences and redesigning business processes around AI agents.

Chief Technology Officer Diego Tartara said Glob.AI incorporates more than two decades of engineering and domain expertise into standardized workflows. The platform can route work across more than 140 large language models, he said, while clients retain control of their models and data through dedicated token vaults. Tartara said the platform is designed to reduce token waste and improve reliability through context assembly, architecture mapping, data preparation and quality gates. He cited prior deployments that accelerated drug discovery research at PharmaMar by 15 times, reduced supply-chain contract cycles at YPF by 40%, and sh...