Voice, video and vernacular: how Indian consumers actually interact with AI

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

India is the world’s largest smartphone market and home to one of the fastest-growing AI adoption curves globally. Yet most research on AI interaction comes from Western, English-speaking populations. What does AI interaction actually look like for Indian consumers?

Northstar Digital’s consumer research surveyed 1,000+ urban Indian respondents in April 2026, asking detailed questions about their device usage, interaction modes, language preferences and actual behaviours with AI. The results challenge conventional wisdom about voice, multimodal interfaces and vernacular AI.

The smartphone dominates, but not alone

The device landscape in urban India is increasingly fragmented. Nearly half of consumers (45.9%) primarily use a smartphone for AI interaction, but a significant 35.6% work from laptops and desktops. Another 13.5% use multiple devices equally. Tablets and smart speakers remain niche (2.9% and 2.1% respectively), suggesting that AI adoption in India is still concentrated in portable devices and traditional computing.

Typing still dominates, but multimodal is growing

Text input remains the primary way consumers interact with AI in India. 80.7% use typing to enter prompts. But multimodal interactions are already substantial: 57.3% upload images or screenshots and 46.2% upload documents or files. Voice commands come next at 40.4%. Only 12.9% use AI features embedded in other apps.

This suggests that Indian consumers are ready for multimodal AI; they’re not waiting for dedicated voice assistants. They’re already uploading images and documents to general-purpose AI tools.

Voice: a niche that’s becoming mainstream

The data reveals a clear divide: 60% of respondents use voice for AI at least sometimes. This breaks down as 39.2% who use voice frequently or almost always, and 20.8% who use it sometimes. The remaining 40% rarely or never use voice. Voice is emerging, but adoption remains uneven.

When consumers do use voice with AI, the use cases are practical and task-specific. Quick questions dominate at 80.1%, followed by product and service search at 52.4% and directions/navigation at 46.2%. Extended conversations lag at just 16.2%, signalling that voice interfaces aren’t replacing typed chat for deeper interactions. This aligns with Google’s Year in Search India 2024, which documented strong growth in voice search adoption across the country.

The language divide: English dominates, but Hindi is being tested

India is a multilingual country, but AI interaction is still heavily English-biased. 41.8% of respondents use English only and another 40% use mostly English with some Hindi. Only 6.5% report mostly Hindi with occasional English and just 2.1% use regional languages exclusively. However, 5.3% switch languages depending on the topic, suggesting language-switching behaviour is emerging and worth monitoring.

59% of respondents have tried AI in Hindi or a regional language. Of those, only 36% found it satisfactory. 23% explicitly said Hindi AI performs worse than English and 8.2% experienced comprehension failures. This points to a real quality gap that represents both a risk and an opportunity.

According to McKinsey’s research on AI capabilities, multimodal AI advancement is critical for underserved languages, but adoption still lags for non-English interactions. NASSCOM’s AI adoption index confirms that Indian enterprises face language and localization barriers when scaling AI. The platform that cracks quality vernacular AI will unlock India’s next 500 million users.

What this means for AI builders and brands

• Multimodal isn’t coming; it’s already here. Image and document uploads are mainstream (57% and 46%), meaning AI products need OCR, vision and document parsing built in from day one.
• Voice has a real but narrow use case. Quick questions and search dominate (80%, 52%). Extended voice conversations remain a niche. Voice UX should optimize for fast, interruptible interactions.
• Language remains a strategic gap. 59% of consumers have tried Hindi AI, but satisfaction trails English significantly. Brands targeting India at scale need to monitor this gap closely.

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