I have sat in a lot of discovery calls with Indian TV news channel heads over the past two years.
One moment keeps repeating itself.
I ask how many clips their video editing team published yesterday. They give me a number, usually somewhere between 50 and 200. Then I ask how many hours of live broadcast their channel ran. They say 18 to 24.
There is a pause. Not because they are confused. Because they already know what the gap means and have not quite said it out loud yet.
58% of Indians get their news from YouTube. The Reuters Institute confirmed it in their 2026 Digital News Report. Not social media broadly. Not news apps. YouTube specifically.
That number did not surprise anyone I have shown it to. What surprised them was seeing it written down.
Here is something I noticed across 90 plus discovery conversations.
Every digital head I spoke to already knew YouTube mattered. They were not arguing about whether to invest in it. They were stuck on how, because the gap between knowing YouTube matters and actually scaling output on it is not a strategy problem. It is a pipeline problem.
The Indian news audience did not wait for broadcasters to figure this out. They moved to YouTube years ago. Regional language audiences especially. Marathi speakers looking for Maharashtra politics. Telugu speakers following AP assembly coverage. Tamil audiences tracking local governance stories. They are searching for this content on YouTube every single day.
And they are finding it, from whoever published fastest.
That is the part that does not show up in strategy decks. The audience is not choosing between your channel and a competitor based on journalism quality alone. They are choosing between your clip published 55 minutes after the live moment and someone else's clip published 8 minutes after the same moment.
I want to be precise here because I think the outside view of this problem is often too abstract.
A video editor on a TV news channel's digital team opens a browser tab, pulls up the live stream or the overnight recording, and starts scrubbing. They are looking for moments worth clipping, a key statement, a debate, a breaking development. When they find one, they mark the in-point, mark the out-point, export the clip, write a title, write a description, add hashtags, and upload to YouTube.
That process takes roughly 9.7 minutes per clip.
Meanwhile, the live broadcast has produced another 9.7 minutes of content. And another. And another.
The video editor is not slow. They are running at full capacity. The issue is that the broadcast never pauses to let the queue clear.
In an 8-hour shift, a team of four video editors working efficiently will produce somewhere between 40 and 60 clips. That same broadcast produced 480 minutes of content.
Most Indian TV news channels are publishing between 50 and 500 clips a day. The range is wide because team sizes vary. But even at 500 clips, the upper end, achieved by channels with large dedicated digital teams, they are still clipping a fraction of what aired.
The rest disappears.
I want to stay on this point because I think it gets lost in conversations about YouTube strategy.
National English news channels have larger video editing teams. Larger budgets. Bigger digital operations. They are still leaving a significant portion of their broadcast unclipped, but they at least have the infrastructure to be competitive.
Regional language channels are in a much harder position.
A Marathi news channel with a team of three video editors, covering Maharashtra politics, crime, weather, agriculture, and local governance across 18 hours of daily broadcast, is making real-time decisions about what to sacrifice. Every clip they do not have time to produce is a choice they did not want to make.
And here is the thing about regional language YouTube. The competition is thinner. Search queries in Marathi or Telugu or Tamil are less saturated than Hindi or English news searches. A regional TV news channel that figures out how to increase clip output, even by 2x, has a genuine shot at dominating its language category on YouTube.
That opportunity is sitting there. The constraint is not editorial. The video editing team knows what to clip. The constraint is hours.
I will share what we saw in one of our regional news channel pilots.
We ran Decouple AI alongside a regional Marathi-language TV news channel's existing video editing team for a full broadcast day. Eight hours and seven minutes of continuous live coverage.
The video editing team published 73 clips.
Decouple AI identified 206 clips from the same broadcast.
Of the 73 clips the team published, Decouple AI had independently identified 30 of them exactly, same moment, same start point, same end point. Another 40 were close matches where the content was identical but one side cut slightly earlier or later.
The editorial judgment was aligned. The difference was volume and speed.
The 133 additional clips Decouple AI identified were not low-quality moments the team deliberately skipped. They were moments the team simply did not reach before the shift ended.
Those 133 clips are 133 missed search entry points. 133 missed subscriber notifications. 133 moments that could have been found by someone in Maharashtra searching for news that evening.
You can read the full methodology and findings in the regional news channel pilot report.(DOWNLOA CASE STUDY HERE).
58% of Indians are looking for news on YouTube.
Your video editing team is doing everything they can within the constraints of a manual workflow. They are not the bottleneck. The pipeline is.
The question worth sitting with is not whether your channel needs to be on YouTube. You already know the answer to that.
The question is how much of your live broadcast is actually reaching the 58% of Indians who went looking for it, and how much disappeared the moment it aired.
Start a free 7-day pilot on your own live news broadcast to clipping with Decouple AI.
Contact for Demo Here -
About the author: Tusharr Patill is the Founder and CEO of Decouple AI, an autonomous live broadcast clipping platform for TV news channels. He has 14 years of experience in Indian broadcast media and AI/ML consulting. Decouple AI is backed by CIE IIIT Hyderabad, Upekkha, SucSEED, MeitY, and NVIDIA Inception.