Analysts/Institutional Investor Meet/Con. Call Updates

amag1 July 10, 2026 BRSeE: A LMimAiGteI/dS E/2026-27/38 National Stock Exchange of India Limited Phiroze Jeejeebhoy Towers, Exchange Plaza, C-1, Block G, SDcarlaipl SCtoredeet ,– F 5o4rt4, 679 SByamndbroal K –u ArlMa ACoGmI plex, Bandra (E), Mumbai – 400001, Maharashtra Mumbai – 400051, Maharashtra DSuebarje Scitr:/ TMraadnasmcr, i pt of the webinar “Ai in Media”. AI in Media Pursuant to Regulation 30 read with Schedule III of the SEBI (Listing Obligations and Disclosure Requirements) Regulations, 2015, please find enclosed the transcript of the webinar titled “ ” hosted by the Company on Tuesday, July 07, 2026. The said transcript is also being hosted on the website of the Company at https://www.amagi.com/investors/notifications We request you to please take the same on record. Thanking you. Amagi Media Labs Limited For and on behalf of Sridhar Muthukrishnan Company Secretary and Compliance Officer MEnecml.:b Aesr sahbiopv Ne o.: F9606 Amagi Media Labs Limited (formerly known as “Amagi Media Labs Private Limited”) CIN: L73100KA2008PLC045144 Registered office: Raj Alkaa Park, Sy. No. 29/3 & 32/2, 4 Floor, Kalena Agrahara Village, Begur Hobli, Bengaluru - 560076 Karnataka P E W : +91 80 4663 4444 | : info@amagi.com | : www.amagi.com Amagi Media Labs Limited AI In Media July 07, 2026 “E&OE” - THIS TRANSCRIPT IS EDITED FOR FACTUAL ERRORS. IN CASE OF DISCREPANCY, THE AUDIO RECORDING UPLOADED ON THE STOCK EXCHANGE ON JULY 07, 2026, WILL PREVAIL.” Management: MR. BASKAR SUBRAMANIAN – MANAGING DIRECTOR AND CHIEF EXECUTIVE OFFICER – AMAGI MEDIA LABS LIMITED MRS. AMOOLYA GIRIDHAR – VP, FP&A AND INVESTOR RELATIONS Amoolya Giridhar: Thank you, everyone, for joining us today. This is the first session in what we hope will become an ongoing educational webinar series for investors, where we periodically discuss industry-relevant themes and developments. Today's discussion is strictly focused on AI in media, so we request all participants to keep their questions limited to this topic. The session will run for 1 hour. Bhaskar will speak for the first 40 to 45 minutes, followed by Q&A in the last 10 minutes. As this is a listen-only webinar, please type your questions in the chat bot with your name and company. I will voice them during the Q&A. At the end, you will be invited to share feedback through a Google form by scanning a QR code. Please take a moment to share your input and help us improve future sessions. Before we begin, please note the disclaimer. Questions relating to the company's financial performance, business outlook, operational metrics, strategy, or other company specific matters will not be addressed. Please note that certain comments may include forward-looking statements, industry observations, or estimates based on management's current views and assumptions. Actual outcomes may differ materially. With that, I'll turn it over to Bhaskar to kick us off. Baskar Subramanian: Yeah, thank you very much, Amoolya. Thank you folks for joining us. Good morning, good evening, good afternoon, wherever you are. So, today's topic is an interesting and exciting topic, AI in media. I'm sure AI is the topic for all of us across many different industries that we're really working on today, and media is no different, and we're going to talk about it today, right? So, if we look at it, the first thing I want to talk about is to really understand how a typical video value chain works, right? As you know, television and all the OTT video streaming that we see, for example, I want to start off with an example of how that actually works. If you look at it, technically, if you take any sort of sports match or news or entertainment content, it starts from the camera and ends with a screen where we watch content. We watch content either on television sets, or on our phones, or on our tablets. Wherever you're watching that, that's where the content comes through. But it always starts with the camera today, as we speak, right? So, there are a set of sections of how the process works today, as an example. Let's look at it, for example, a game, right? So, if you're watching a cricket match, for example. The action obviously starts in the stadium. At the stadium, the first thing that you see is that you have multiple cameras. All these cameras gets connected to a van called an OB van, which is nothing but a van standing outside of a stadium, typically with a satellite antenna on top. Through which it gets beamed to a studio. We've all seen it, I'm sure any of you have gone to a stadium, you would have seen this as a mechanism that you see. Obviously, there are commentary boxes from where commentary is getting done, and also, there is some sort of a production room where they're trying to look at what camera content may make sense, and they do the switching of the cameras. Now, once that is done, it comes to a preparation stage, where it comes to typically a studio. In studio, this cricket match gets converted with sports scorecards, all the logos of the different teams, multiple audio tracks that you want, and of course, the advertising and ad breaks, all of that gets added in the preparation stage in a typical studio environment. Once that is done, it gets distributed, either through cable or through streaming TV platforms that we are aware of, through which we actually watch this content. This is typically a stage where, obviously, monetization could be advertising, could be as consumers subscribing to content. You kind of, kind of do multiple different monetization capabilities today. And obviously, viewership could be across the globe that people are starting to watch content. This sort of is the chain. So it starts from camera, producing content, preparing the content, distributing the content, and eventually getting to viewers, for example. Now, if you look at it, I just want to give you an analogy of what this works in the world. It's also like a retail analogy, right? So, I'm sure a lot of you have seen the whole retail workflows and chain. For example, like retail, there is a production phase where I'm sure that the consumer goods you produce your goods. You take it to a warehouse and do all the packaging, then you send it through trucks and any sort of logistics to get to retailers, and eventually consumers buy it, either through directly or through the warehouse or the retailers, through a quick commerce or an e-commerce or the mechanism that you see it. Very similar is what's happening in the content business as well. If I'm a content creator, the first thing I do is to really produce content, exactly like a factory. There is a content factory where hundreds of hours or thousands of hours of content gets created, right? So that's the first part of the value chain. Once it's created, it goes through a preparation stage, where, like a warehouse, you're actually preparing this whole media stuff, and eventually, using some sort of logistics, you're sending it to the platforms and eventually these platforms eventually deliver to the viewers, right? So, exactly like a value chain of a retail. Think about it in that particular analogy that I want to really talk about from a media distribution flow standpoint as well, right? Now, if you look at it, AI is transforming every industry. So, like, I'm sure you folks are hearing it every day. Media industry is already changing, and it's found no big difference. It's exactly like every other industry; AI is transforming this industry as well. Now, to look at it, what we're going to do today is to kind of understand this transformation that's happening across two spectrum of things that we're going to talk about today. One is, if I'm a content creator, a business of either building TV channels, or OTT operations, or any sort of studio or a content creator today, for example. I'm looking at either operating leverage through AI, and we talked about Agentic and workflows today, for example. Or I'm looking at market expansions, [Showing first 8,000 characters — download PDF for full document]