Anupam Mittal: AI Firms Must Adapt Value to Succeed in India

TECHNOLOGY
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AuthorAarav Shah|Published at:
Anupam Mittal: AI Firms Must Adapt Value to Succeed in India

Shaadi.com founder Anupam Mittal warns that global AI firms cannot succeed in India by simply reducing prices. He argues that Indian consumers demand immediate, tangible utility for every product. For tech investors, this highlights the necessity for companies to build India-specific product strategies rather than importing models from Western markets to avoid high churn and low adoption.

Anupam Mittal, the founder of Shaadi.com and a judge on Shark Tank India, has highlighted a critical hurdle for global artificial intelligence companies entering the Indian market. He suggests that these firms are currently facing a rigorous test of product value rather than just pricing. In his view, India is not simply a secondary market where Western business models can be replicated at a lower cost. Instead, Indian consumers are highly discerning and often look for immediate, practical benefits before committing their spending.

The core of this challenge, as highlighted by Mittal, is the consumer mindset he describes with the colloquial phrase, "Bhai, isse mera kya hoga?" or "What is in it for me?" This perspective means that simply launching a "cheaper version" of an international product is often insufficient. Consumers in India are historically adept at finding workarounds, such as sharing subscriptions, utilizing free trials, or seeking free alternatives if they do not perceive direct and immediate utility from a premium service.

For investors, this insight is crucial when analyzing the growth trajectories of AI-focused technology companies. Sectors such as telecommunications and digital payments have previously gone through similar cycles. Companies that succeeded in India were often those that re-engineered their services to suit local consumption patterns, such as the widespread success of low-cost data plans and the unique structure of the Unified Payments Interface (UPI). AI firms that attempt to force-fit global subscription-based models without significant localization may struggle with high customer churn and low conversion rates.

The risk for shareholders lies in the high cost of customer acquisition if the product fails to deliver clear, everyday value. Companies that prioritize building India-specific plans and tangible efficiency tools for users and businesses are more likely to achieve sustainable growth. In contrast, firms that rely on a standard international strategy may find their growth limited by a market that prioritizes utility over brand or global features.

Looking ahead, the key monitorable for investors will be how technology companies adapt their product roadmaps. It is not just about the underlying AI model but how that model translates into local solutions that solve specific, everyday problems for Indian users. Successful integration will likely depend on whether companies can shift their focus from global pricing strategies to local value creation.

Disclaimer: This article is published for informational purposes only. This is not a buy sell recommendation.