'AI isn't just..': Anand Mahindra backs Palantir CEO's theory, sees India's edge lie elsewhere

As nations and corporations invest significantly in developing advanced artificial intelligence systems, Anand Mahindra suggests that the true competitive advantage may not reside in the models themselves but in their applications. In response to remarks made by Palantir CEO Alex Karp, Mahindra, the chairman of the Mahindra Group, emphasized that while cutting-edge AI models are crucial, the software that operates atop these models will play a vital role in shaping their commercial and strategic value. In a post on X (formerly Twitter), Mahindra noted that Karp's insights would spark extensive discussion, acknowledging that some may perceive the comments as self-serving. Nonetheless, he believes that the framework presented warrants serious consideration. Mahindra outlined his perspective on AI as comprising three interconnected layers, agreeing with Karp that critical infrastructure cannot depend solely on AI models. He stated, "Critical infrastructure doesn't run on a model alone; it needs an application layer sitting on top." Drawing parallels to the smartphone revolution in his recent shareholder letter to Tech Mahindra, he remarked, "A smartphone is remarkable technology, but it became indispensable because of the apps and experiences built on top of it." Mahindra asserted that the enduring value in AI will likely stem from the specialized applications that address real-world business challenges, rather than merely from the companies producing the foundational models or chips. He emphasized, "The ecosystem determines who creates lasting value, not the chip or the model underneath." Mahindra further reinforced Karp's argument that enterprise AI necessitates safeguards that go beyond the capabilities of foundational models. Karp pointed out that the application layer is essential for ensuring AI is "safe and precise," particularly in sectors like defense, banking, healthcare, and other heavily regulated industries. While he highlighted the importance of application development, Mahindra reiterated his support for India’s ambition to create sovereign frontier AI models. He cautioned, however, that as AI models risk becoming commoditized with various open and proprietary options available, India’s strategy should not focus solely on the models. Instead, he advocated for a synergistic evolution of computation, models, and applications to foster a robust AI ecosystem. Finally, Mahindra believes that AI service companies can leverage their deep understanding of enterprise workflows to gain a lasting competitive edge. By remaining model-agnostic, these firms can select the most suitable open or proprietary models for their clients' needs while developing secure, industry-specific applications that uphold business governance and operational control. He concluded, "The application also has to enable business enterprises to preserve their 'alpha'," underscoring the unique position of AI service companies in generating long-term value.