LTM Projects AI Revenue Growth
Indian software services provider LTM anticipates that its revenue generated from artificial intelligence (AI) will eventually surpass earnings from its conventional service offerings. Venu Lambu, the company's Chief Executive Officer, conveyed this outlook, emphasizing the expectation that businesses will increasingly rely on IT firms to implement advanced large language models developed by entities such as Anthropic and OpenAI.
This projection comes amidst market apprehension regarding the potential for increasingly sophisticated AI models to disrupt established IT services businesses. Such concerns have contributed to a more than 23% year-to-date decline in India's Nifty IT index, positioning it for one of its most significant losses since 2008.
Strategic Focus on AI Implementation
LTM recently formalized a collaboration with Anthropic to deploy its Claude AI model to enterprise clients. The company views these models as catalysts for establishing a new market for IT firms focused on implementation, provided solutions are delivered with appropriate context and cost efficiency. Lambu indicated that virtually all current deals incorporate an AI element, though he clarified that not every business scenario necessitates the use of expensive frontier models.
The acceleration of AI adoption is expected to manifest through initially smaller and diverse projects. Lambu noted that demonstrating a successful proof point to a client often leads to expanded engagements with the same customer. He forecasts a significant acceleration in enterprise AI adoption during the second half of fiscal year 2027.
Financial Performance and AI Revenue Disclosure
LTM reported a 6.1% year-on-year increase in its first-quarter revenue. For the first time, the company disclosed its AI revenue, which stands at $150 million on a quarterly run-rate basis. This figure represents 12% of LTM's total revenue and is derived from three distinct AI-native business segments. These segments are characterized by AI being a foundational component from their inception. The company differentiates this from enterprise AI, which involves integrating AI into existing client technology stacks and software processes, and does not include sales from enterprise AI in its reported AI revenue.
In comparison, HCLTech, a larger industry peer, reported $171 million in advanced AI revenue during the June quarter, accounting for approximately 4.6% of its total revenue.
Addressing Client Concerns on AI Costs
A significant concern among clients, according to Lambu, revolves around the token costs associated with utilizing AI models. AI providers are increasingly adopting token-based pricing structures that charge customers based on usage. LTM is concentrating its efforts on assisting companies in developing robust governance frameworks to effectively manage both usage and associated costs of AI solutions.
