What Are the Trending Topics on YouTube Right Now?

When I ask what is trending on YouTube right now, I am not asking for a generic list. I want to see existing demand before I put time, money, and energy into the next video and find out too late that the audience was never there.

Before I open the data, I may already like an idea, see the creative angle, and feel confident enough to build a video that burns a week of work and lands like nobody was waiting for it.

The point is not to love the idea less, or to blindly follow Trending Topics. It is to check demand first, because revenue from my channel creates the base to keep producing, improving, and delivering the vision with more power.

First, I choose the category.

This is the real cut: if I run a tech channel, I need Science & Technology data, not a mixed list of gaming, sports, celebrity news, and random viral topics. A Trending Topic is only useful when it belongs to the category I can actually publish in.

A lot of creators make the wrong move here. They see something big on YouTube and think, “Maybe I should make a video about that.” But if the topic does not fit the category, it is not an opportunity; it is noise.

Then I choose the time range.

It decides how fresh the demand signal is, and wrong timing can kill a good video.

Then I sort by Revenue, the money filter.

Views can make a topic look exciting. Uploads can make a topic look active. But Revenue helps me look for where attention is already turning into value, and that is the signal I care about.

The real pain is not only low views. It is putting hours into a video that never had strong demand from the start. Revenue sorting does not make the decision for me, but it tells me where to look first.

After Revenue sorting, I open one of the strongest topics. This is still dangerous, because a broad label can make me feel like I found the answer while I am actually standing at the edge of another expensive guess.

For example, I can see that artificial intelligence is strong in Science & Technology, but that alone is not enough: “artificial intelligence” is too wide. If I stop there, I only know the big label. I do not yet know where the real pull is: tools, hardware, software, phones, engineering, agents, or something else.

This is the moment where the topic looks promising, but the video direction is still unclear. That is where time disappears: research gets longer, the script gets heavier, the angle keeps changing, and the upload can still land flat.

When I open Sub-Topics, the money question finally becomes specific: the broad topic turns into a set of concrete demand signals. Now I am not staring at “AI” as a huge abstract idea. I can see where the money already is inside the topic.

In this case, artificial intelligence is the main Trending Topic in Science & Technology, but the real answer is in the leading sub-topics: