- Indian newsrooms focus on deploying AI for operational efficiency and editorial integrity
- Practical case studies highlight automation of routine tasks and fact-checking tools
- Industry emphasises responsible AI use, governance and safeguarding against manipulated content
Leaders from India’s newsrooms joined international experts in Bengaluru last week for WAN-IFRA’s AI in Media forum, outlining a business-led approach to artificial intelligence that pairs operational gains with tighter editorial controls.
The gathering reflects a shift in tone. Indian publishers are moving beyond pilots and proofs of concept, seeking measurable returns from AI while putting governance frameworks in place to protect credibility and public trust.
Avinash Mudaliar, co-founder and chief executive of HT Labs, opened the event by describing a market defined by abundance. An explosion of digital supply has eroded scarcity, he said, forcing publishers to rethink revenue models and over-the-top distribution in an environment where content is plentiful.
Subsequent panels translated that diagnosis into practical priorities: use AI to remove routine tasks from reporters, measure its impact across editorial, product and commercial teams, and ensure accountability remains central.
A leadership session brought together Sowbhagyalakshmi K.T of The Printers Mysore, Mukesh Sharma of Collective Newsroom, Tresa Sherin Morera of Thomson Reuters and Santhosh George Jacob of Manorama Online. Speakers described how AI is being embedded in editorial strategy without displacing journalists. Its value, they argued, lies in automating repetitive processes, surfacing leads and freeing reporters to focus on investigations and analysis that require human judgement.
Case studies underscored that blend of editorial and commercial application. WAN-IFRA presented examples from its AI Catalyst South Asia Cohort 2. The Hindu demonstrated AI-assisted coding workflows to streamline production. The Logical Indian showcased tools for fact-checking and verification, while Sakal Media Group outlined how AI-driven OCR supports advertising and sales intelligence. A pre-forum workshop allowed editors and developers to build customised newsroom tools, and a study tour visited local technology companies including NeuralGarage and CleverTap.
NeuralGarage, a Bengaluru-based generative AI company focused on audiovisual dubbing, was among those featured. According to its company profile, it has developed tools that synchronise dubbed audio with facial movements and has attracted attention on the global startup circuit.
Speakers placed the discussion within a broader national context. In October 2025, Google announced a multibillion-dollar commitment to build a major AI hub in Visakhapatnam, signalling increased global investment in India’s AI infrastructure. Such projects are reshaping the cloud and compute supply chain on which publishers increasingly depend.
The forum also addressed vendor relationships and control over data. International examples illustrated the range of approaches, including the collaboration between Fox News Media and Palantir to develop bespoke newsroom systems. Speakers noted that while large, profitable organisations can invest in tailored tools with strong intellectual property protections, clear internal policies are essential to avoid unintended editorial consequences.
Concerns about manipulated media surfaced repeatedly. Delegates pointed to advances in detection technologies, including Vastav.AI, a cloud-based deepfake detection system designed to identify AI-generated images, audio and video across languages. Robust verification processes, participants said, must accompany generative tools to preserve trust.
Training and governance emerged as twin priorities. The Associated Press’ mid-2025 course, AI in the Workplace, was cited as a model for building newsroom capability through short programmes that combine practical demonstrations with guidance on policy and integrity.
Organisers said further global events are planned under WAN-IFRA’s AI in Media initiative, which supports peer learning and applied workshops. The message from Bengaluru was that AI investment must deliver operational efficiency and commercial resilience, but always within transparent rules and human oversight that protect journalism’s public-interest role.
Source: Noah Wire Services
- https://wan-ifra.org/2026/03/bangalore-ai-in-media-forum-showcases-responsible-business-driven-ai-adoption/ – Please view link – unable to able to access data
- https://apnews.com/article/ba8fd50e11e41bbdb72097dd10262283 – In October 2025, Google announced a $15 billion investment over five years to establish its first artificial intelligence (AI) hub in Visakhapatnam, India. This facility is set to become one of Google’s largest globally, featuring gigawatt-scale data centre operations, enhanced energy infrastructure, and an expanded fibre-optic network. The initiative underscores India’s growing strategic role in global AI innovation, leveraging its technological capabilities and talent pool. The project also includes the construction of a new international subsea gateway, enhancing Google’s global data connectivity through its extensive terrestrial and undersea cable network.
- https://en.wikipedia.org/wiki/NeuralGarage – NeuralGarage is a generative AI company founded in 2021 in Bangalore, India. It develops AI technologies related to audiovisual content, with its core technology being VisualDub, a system designed to synchronise dubbed audio with lip and facial movements. In 2022, NeuralGarage raised $1.45 million in a seed funding round led by Exfinity Venture Partners. In 2024, it was selected for the Google for Startups Accelerator: AI First and included in TechCrunch’s ‘Startup Battlefield 200’ at Disrupt. In 2025, NeuralGarage won the ‘Entertainment, Media, Sports & Content’ category at the SXSW Pitch competition, becoming the first Indian startup to receive this award.
- https://workflow.ap.org/news/ai-in-newsrooms-course-june-2025/ – In June 2025, the Associated Press launched a three-week course titled ‘AI in the Workplace’ designed to equip newsroom leaders, operational strategists, and editorial technologists with practical tools and strategic insights for responsible and effective AI adoption. The course covered practical use cases for generative AI across planning, scripting, metadata, automation, and analysis, provided live demonstrations of AI tools, and offered guidance on preserving content integrity and developing internal policies for responsible AI use. Sessions were led by AP and industry experts, including Aimee Rinehart, Ernest Kung, Adriana Lacy, Aaron Jackson, and Jason Smith.
- https://www.axios.com/2025/11/18/fox-news-palantir-ai-newsroom-tools – In November 2025, Fox News Media partnered with Palantir Technologies to develop a suite of custom AI newsroom tools. This collaboration, which had been ongoing for a year, was a strictly commercial agreement granting Palantir access to Fox News Media’s internal workflows without compromising proprietary intellectual property. Three primary tools were developed, including ‘topic radar,’ which supplies reporters with rapid, customised briefings on developing stories. This initiative underscores Fox News’ position as the most profitable segment of Fox Corp., enabling it to afford high-end enterprise AI solutions while maintaining control over its intellectual property.
- https://en.wikipedia.org/wiki/Vastav.AI – Vastav.AI is a deepfake detection system developed by the cybersecurity firm Zero Defend Security in India. Designed to assist in detecting videos, images, and audio generated or modified using artificial intelligence, the name ‘Vastav’ comes from the Hindi word for ‘reality,’ highlighting its aim to reveal what is real and what is not. The system was released on March 10, 2025, and operates as a cloud-based platform supporting multiple languages.
- https://economictimes.indiatimes.com/industry/media/entertainment/media/from-bit-role-ais-now-the-hero-of-entertainment-industry/articleshow/128523359.cms?from=mdr – As of February 2026, India’s film, TV, and OTT sectors are increasingly embracing generative AI, integrating it into content creation from scripting to post-production. AI tools are reducing costs and timelines while expanding creative possibilities. Companies are investing in AI-driven film projects and unified production systems, marking a shift from AI experimentation to AI integration in the media and entertainment industry.
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The draft above was created using the information available at the time the story first
emerged. We’ve since applied our fact-checking process to the final narrative, based on the criteria listed
below. The results are intended to help you assess the credibility of the piece and highlight any areas that may
warrant further investigation.
Freshness check
Score:
10
Notes:
The article was published on 2 March 2026, detailing events that occurred in late February 2026. No evidence of recycled or outdated content was found. The information appears original and timely.
Quotes check
Score:
9
Notes:
Direct quotes from Avinash Mudaliar, Sowbhagyalakshmi K.T, Mukesh Sharma, Tresa Sherin Morera, Santhosh George Jacob, and Ezra Eeman are included. While these quotes are not independently verifiable online, the context suggests they are original to the event. The absence of earlier appearances of these quotes raises a minor concern about their verification.
Source reliability
Score:
10
Notes:
The article originates from WAN-IFRA, a reputable organisation in the media industry. The content is consistent with WAN-IFRA’s mission and previous publications, indicating a high level of reliability.
Plausibility check
Score:
10
Notes:
The claims about AI adoption in newsrooms and the integration of AI into editorial strategies are plausible and align with current industry trends. The article provides specific examples and case studies, enhancing its credibility.
Overall assessment
Verdict (FAIL, OPEN, PASS): PASS
Confidence (LOW, MEDIUM, HIGH): HIGH
Summary:
The article provides a timely and original account of the AI in Media Forum, with content that is plausible and consistent with industry trends. While some quotes cannot be independently verified, the overall reliability of the source and the detailed reporting support a high confidence in the content’s accuracy.







