FROM THE BOOK

Monetizing Agentic AI

Chapter 3 · The Response: How the Services Industry Is Responding to Agentic AI
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Globant’s Subscription Bet

While the giants invest in platforms and the agencies restructure around them, one firm stands out for having most explicitly executed the business model transition that the rest of the industry is still debating.

Globant, the Argentina-founded digital services company with 30,000 employees and $2.5 billion in trailing twelve-month revenue, launched AI Pods in 2025, a subscription-based delivery model that represents a fundamental departure from how technology services have been sold for decades. CEO and co-founder Martin Migoya described the shift in terms that capture its significance: for the first time in 22 years, his company can scale without simply hiring more people.

AI Pods are modular, subscription-priced packages that combine autonomous AI agents with human oversight to deliver software development and digital transformation services. Instead of selling hours and hoping to estimate scope correctly, clients pay a monthly subscription. Behind the scenes, AI agents handle product definition, code generation, and testing, all supervised by human experts who ensure quality and context.

The model directly addresses what Migoya identified as one of the industry’s most persistent problems: companies in general have a very large problem defining perfect scopes. Scopes are variable, change constantly, and evolve as businesses change. With the subscription model, clients can modify requirements without renegotiating contracts or facing unexpected bills.

Globant organized its AI capabilities around eight industry-specific studios covering financial services, life sciences, airlines, retail, and other verticals. Each studio develops AI Pods tailored to solve particular industry challenges. The company also built three core agents: Coda for software development, Navigate for enterprise backend integration, and Fusion for digital marketing.

By Q3 2025, 17 of Globant’s top 20 customers, which collectively account for nearly 40 percent of revenue, were already integrating the subscription delivery model. AI Pod pipeline more than doubled in a single quarter. The company’s revenue per IT professional reached $87,500, reflecting a deliberate orientation toward high-value digital transformation rather than traditional IT outsourcing.

Migoya has been direct about what this means for his workforce. He believes that the future of his people will shift from creating lines of code to orchestrating agents and serving as guides through an extremely complex environment. Rather than requiring less knowledge, he argues his people need to know more, understanding both traditional engineering principles and the rapidly expanding universe of AI capabilities. This is the harness argument expressed as a staffing strategy: the value shifts from the people who do the production work to the people who orchestrate the system that does the production work.

Globant’s case is worth studying because it is the furthest along in executing the T&M-to-subscription conversion. The company has a live subscription product, paying clients, measured results (including an 80 percent reduction in legacy system modernization times and a 50 percent reduction in software development costs for clients using the platform), and a pipeline that is growing faster than its traditional services business. For any mid-market services firm wondering whether the conversion is real, Globant is the proof point.

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