IT services firms are rethinking their traditional pricing models as artificial intelligence begins to reshape the industry. For decades, companies billed clients based on time and manpower (hours worked by engineers). However, as AI automates routine tasks and reduces the need for large teams, this model is becoming less relevant, pushing firms to experiment with new ways of charging for their services.
One major shift is toward usage-based billing linked to AI consumption. Companies like EPAM Systems and Tech Mahindra are exploring ways to include the cost of AI—particularly “tokens” used by AI models—directly into their pricing. Instead of clients paying separately for AI tools, these costs could be bundled into service contracts, reflecting how much AI is actually used in delivering a project.
This transition also signals a broader move away from “time-and-material” contracts toward more advanced and flexible pricing models. As AI increases efficiency, projects can be completed faster with fewer people, meaning billing purely by hours would reduce revenue. To address this, firms are shifting toward models that capture the value delivered by AI-enhanced services, rather than just the effort involved.
Overall, the article shows that AI is not just transforming how IT work is done—it is fundamentally changing how it is monetized. By embedding AI costs into contracts and focusing on usage or outcomes, IT companies are adapting to a future where software, automation, and human expertise are increasingly intertwined.
