Voice, vernacular and AI: how India’s next 500 million users will interact with technology

Original research by Northstar Digital | April 2026 | Based on a survey of 1,000+ Indian consumers

India’s AI adoption story is being written primarily by urban, English-speaking, young consumers. But the next chapter will be defined by voice and vernacular. Northstar Digital’s Consumer Research (April 2026) reveals that 60% of current AI users already interact via voice at least sometimes, and 59% have attempted AI interactions in Hindi or a regional language. These are not peripheral behaviours. They are early indicators of how AI will scale beyond India’s first 200 million internet users to the next 500 million.

Voice AI: already mainstream, not emerging

Nearly 40% of users interact with AI via voice frequently or always. This is not a niche behaviour—it is a primary interaction mode for a significant share of India’s AI user base. Google’s 2024 Year in Search India report noted that voice searches in India were growing at more than 270% year-on-year. AI chatbots with voice capabilities are accelerating this trajectory by offering conversational, contextual responses—far beyond the keyword-matching limitations of traditional voice search.

What voice AI is being used for

Quick-answer queries dominate at 80.1%, which is expected. The more consequential data point is product search at 52.4%. More than half of voice AI users are using voice to search for products and services. This creates a direct commerce pathway: a consumer speaks a query, the AI responds with a recommendation and a purchase decision is made—all without typing a single character or visiting a traditional website.

Juniper Research’s 2024 voice commerce forecast estimated global voice commerce transactions would exceed $80 billion by 2026. India, with its mobile-first consumer base and growing voice-AI habits, is positioned to be a significant contributor to this number.

The mobile-first gateway

The device data reinforces the voice narrative. 45.9% of Indian AI users access tools primarily through smartphones, and another 13.5% use multiple devices equally. India’s AI interaction is mobile-native by default.

This has direct implications for content strategy. AI-mediated content consumed on smartphones—especially via voice—needs to be concise, conversational, and structured for quick parsing. Long-form marketing copy designed for desktop browsing is poorly suited for this interaction model. GSMA’s 2025 Mobile Economy report for Asia Pacific highlighted that India will add 140 million new smartphone users by 2030, nearly all of whom will enter the internet through mobile—and increasingly through AI-powered interfaces.

The vernacular gap: opportunity and challenge

59% of respondents have tried interacting with AI in Hindi or another Indian language. The results are mixed.

Only 36% describe the experience as impressive. Nearly a quarter (23%) found AI quality worse in Hindi than English, and 8.2% reported comprehension failures. The current state of vernacular AI falls short of the quality bar needed for mass adoption.

Yet this is precisely where the opportunity lies. India has 22 officially recognized languages and over 19,500 dialects. Only 10% of India’s population is comfortable conducting all digital activity in English. KPMG and Google’s Indian Languages Internet Alliance report projected that the Indian language internet user base would reach 536 million. The AI platform that delivers quality vernacular experience will unlock this market.

Code-switching is the default

Our language data reveals a nuance that most platforms underestimate: 40% of users interact in a mix of English and Hindi (“Hinglish”). Only 41.8% use English exclusively. The remaining 18% use Hindi-dominant, topic-dependent switching, or regional language mixes.

This code-switching behaviour is natural in Indian communication—people mix languages within the same sentence. AI platforms that handle code-switching fluently will deliver a fundamentally more natural experience than those that force users into a single language selection.

What this means for brands and platforms

• Optimize for voice-first discovery. With 52.4% using voice AI for product search, brand content must be structured for conversational queries. Think “best phone under 20K with good camera” rather than keyword-optimized product descriptions.
• Build multilingual AI content. If your brand operates in India, your AI-facing content should exist in Hindi and key regional languages—not just English. As vernacular AI quality improves, the brands with multilingual content will gain first-mover advantage.
• Design for mobile-first AI journeys. 45.9% access AI on smartphones. Landing pages, product information and brand narratives must load fast, display cleanly on small screens, and support the referral journey from AI to your site.
• Monitor voice AI recommendations. Voice interactions produce different recommendations than text. A query typed into ChatGPT may yield different results than the same query spoken to Google Gemini via an Android phone. Audit both channels.

The Scale Opportunity

India’s current AI user base—concentrated in metros, English-dominant, under 35—represents the first wave. The second wave will be driven by voice and vernacular: non-English speakers, semi-urban users, and consumers who bypassed the desktop internet entirely. The platforms and brands that solve for voice, multilingual interaction and mobile-first AI will capture a market measured not in millions but in hundreds of millions.

The data is directional and unambiguous. Voice is already a primary AI interface for 40% of users. Regional language attempts, despite quality gaps, show strong demand. The infrastructure for India’s next phase of AI adoption is being built now. The question for brands is whether they’ll be part of it.

Methodology

This article draws on data from Northstar Digital’s AI Adoption in India Consumer Research Report (April 2026), an online survey of 1,000+ respondents across Indian metros. The study focused on urban, digitally active consumers aged 18–44. Findings may not represent the broader Indian population. Full methodology is available in the original report.

About Northstar Digital

Northstar Digital is an AI-native digital agency helping brands build visibility, authority and growth in the age of AI-powered discovery. From AI Engine Optimization (AEO) and brand visibility audits to content strategy and performance marketing, we help businesses stay ahead of the AI curve. Learn more at thenorthstardigital.ai