Indian IT firms face margin pressure as AI token costs rise

Indian IT services giants are reporting squeezed profit margins due to the escalating costs of AI tokens required for enterprise projects. As Fortune 500 clients scale their generative AI initiatives, the financial burden of API calls and infrastructure is impacting traditional revenue models.

For teams building production AI, this shift highlights the critical need for token optimisation and cost governance to ensure long term project viability. Efficient resource management is becoming as important as model performance in the enterprise sector.

  • Rising token expenses are impacting the profitability of large scale AI deployments
  • Enterprises are shifting focus towards managing and reducing operational expenditure for LLMs
  • Traditional IT service delivery models are being challenged by the high cost of AI infrastructure
AI Apps & Platforms Generative AI
All AI news

More AI news

Models

Moonshot AI launches world's largest open model with 2.8 trillion parameters

Beijing based startup Moonshot AI has released Kimi K3, a massive model featuring 2.8 trillion parameters. This release positions the model as a significant open weight competitor to top tier proprietary systems currently dominating the market.

Tooling

GitLab 19.2 introduces governed agentic automation to manage AI generated code backlogs

GitLab has launched version 19.2 of its DevSecOps platform, introducing new governed agentic automation capabilities. This update specifically targets the growing backlog of code, dependencies, and change requests generated by AI coding tools. By providing intelligent orchestration, the platform helps teams maintain velocity without sacrificing oversight.

Models

Kimi k3 secures third place on the SevenLab AI leaderboard

The Kimi k3 model has officially entered the top ten of the SevenLab AI leaderboard, debuting at the number three position. This specific ranking is derived from value-adjusted performance data provided by ArtificialAnalysis. It represents a significant shift in the competitive landscape for high-performance large language models.

Ready to build something
extraordinary?

15 minutes. No pitch deck. Just a conversation about what AI can do for your team.

Talk directly with our AI specialists

15 min, no strings
No sales pressure
Prototype in 7 days