Globant, a leading tech consulting firm, has transformed its traditional billing strategy to embrace artificial intelligence by introducing subscription-based AI Pods. This new model allows clients to access AI-powered services, including software engineering and product design, through a monthly subscription that employs a token-based system for usage. The shift comes as generative AI technology drives changes across industries, compelling companies to rethink pricing models. Globant’s CEO, Martín Migoya, emphasized that this approach represents a significant departure from the conventional effort-based billing methods, which often lead to misalignment between service providers and clients. The firm aims to stabilize pricing and minimize surprises in the evolving landscape of AI-driven services, where outputs are increasingly determined by token usage rather than hours worked. Early adopters of this model include notable clients in the finance and entertainment sectors, indicating a potential trend towards subscription-based consulting services in the broader industry.
Salesforce’s senior executive, Bill Patterson, emphasized the need for flexibility in artificial intelligence pricing models, acknowledging that no vendor has definitively established the best approach. He stated that AI providers, including standalone model providers and cloud companies, are still trying to determine which pricing model is most effective for various use cases. Salesforce has experimented with different pricing structures, including a $2 charge per AI agent conversation and a model based on AI actions, such as updating customer records or automating workflows. Recently, the company introduced a flexible pricing system called Agentforce, which combines conversation and action-based pricing alongside a credit-based system to enhance user flexibility. Patterson noted the potential for outcome-based pricing but cautioned that it can be difficult to scale due to the subjective nature of determining contributions from AI and human input.
Why do we care?
We care because these moves by Globant and Salesforce signal a critical inflection point in how AI services are monetized—with deep implications for IT services providers. Traditional billing models built around time, effort, or vague project scopes are increasingly misaligned with AI-driven delivery, where output, not hours, defines value.
The billing transformation we’re witnessing isn’t about payment mechanics—it’s about how value is defined and delivered in the AI era. For IT service providers, this means rethinking offerings to align with usage-based economics and outcomes-driven expectations. The Globant model suggests an early move toward productizing services, bundling AI capabilities with advisory layers in a way that supports scale and predictability.
However, caution is warranted. Most MSPs are unprepared to adopt token-based or usage-tiered pricing without foundational changes to how they scope, deliver, and support services. The smart play now is experimentation in controlled segments, paired with strong analytics and transparency tools. Those who master pricing innovation early will define how trust and margin coexist in the AI-powered services economy.