10 AI Content Creators to Follow in 2026 (No Hype)

August 7, 2026 · AI Resources

Picking AI content creators to follow off subscriber count alone is how you end up with a feed full of people reacting to model releases they have never used.

So I judged this list on a different signal. Not the channel. What each person publishes everywhere else.

Every number below came off a live page in August 2026, and I say plainly who each person is wrong for.

Why subscriber count is a weak signal on its own

Almost every roundup in this category ranks people by how many subscribers they have. Reach is real, and I am not going to pretend it means nothing. It just does not tell you whether someone has done the thing they are teaching.

That is the gap I care about. Audience size and demonstrated practice are two different measurements, and the second one is hard to fake.

So I looked for evidence of practice outside the channel. Something with a price on it. A back catalog long enough to show the work is a habit. A community where people can ask follow-up questions in public. A credential issued by somebody other than the person claiming it.

None of that proves someone teaches well. It does prove they are exposed to being wrong, which is the part reach alone never guarantees.

One honest exception up front. Matt Wolfe is on this list precisely for news-cycle coverage, which is the behavior I just described as weak evidence. He earns it a different way, and I explain how in his entry.

The result is a list where the smallest channel might teach you the most. One person here has 9.1K subscribers, a paid membership and her own conference. Another has 992K and earns the spot for a completely different reason.

Which of my lists do you actually want?

I have written about this territory twice before, and the three pages answer different questions. Rather than make you guess, here is the fork.

If you want which channels to subscribe to, judged as channels, read my best AI YouTube channels roundup. That one ranks the viewing experience and is the right starting point if you are building a watch list.

If you want software that makes content rather than people who teach it, read the best AI tools for content creators. Repurposing, video editing, voiceovers and images, with the limits on each.

This page is the third question. Not which channel is good, but which of these people has evidence of doing the work off the channel, and where that evidence lives. Some names appear on both lists, and the reason each one is here is different from the reason it is there.

The 10 best AI content creators to follow in 2026

The AI content creators to follow in 2026 are Sabrina Ramonov, Chris Koerner, Ryan Doser, Mark Kashef, Riley Brown, Matt Wolfe, Corey Ganim, Sandy Lee, Corbin Brown and Brooke Wright. Each entry below names where they publish besides YouTube, and each one says who should skip them.

This is not a scored ranking and I am not going to pretend it is. It runs roughly from the broadest teachers toward the most specialised. Read the "skip if" line as carefully as the rest, including on my own entry.

1. Sabrina Ramonov (Best for agent systems that actually run)

Sabrina Ramonov sits at 347K YouTube subscribers, and the channel is the smallest part of what she does.

She writes long technical walkthroughs at sabrina.dev, where the newsletter reports over 236,000 subscribers, and she ships an actual product in Blotato. Running the software means customers report the failure modes to her directly, which is a feedback loop tutorials alone do not create.

The credentials hold up to checking, which is rarer here than it should be. She studied Computer Science and Physics at UC Berkeley, made the Forbes 30 Under 30 list for enterprise technology, and the NLP startup she co-founded was acquired by Pegasystems in 2021. Pega never disclosed the terms, so ignore any dollar figure attached to that exit.

Skip if: you want short videos. Her best material is long and assumes you will follow along at a keyboard.

2. Chris Koerner (Best for business ideas, not AI tutorials)

Chris Koerner has 655K subscribers and over 900 videos, and the channel is still only one of the places he publishes.

His podcast domain now redirects to The Koerner Office newsletter, which promises one business idea deep dive per week. The podcast itself is past 400 episodes and still shipping. He runs several other YouTube channels, posts to X, Instagram, LinkedIn and Facebook, and operates three paid communities.

Be clear about what he is. Koerner is a business-idea guy who uses AI, not an AI teacher. He will tell you about a $10K per month appliance-rental business before he mentions a model release, and he has publicly pushed back on AI agent hype. That framing is why he is worth the follow.

Skip if: you want step-by-step AI tooling. He works at the level of the opportunity, not the build.

3. Ryan Doser (Best for marketers using Claude Code)

This one is me, so weigh it accordingly. I sit at number three here while running the third-smallest channel on the list, 39.2K against Matt Wolfe's 992K. If that ordering looks convenient, judge it against the fact that I am the only person here who had to write his own downside.

Off YouTube I publish a weekly newsletter to 10,000+ subscribers, run the AI Marketing Insiders community on Skool, and sell a Claude Skills Stack at skills.ryandoser.com. Before working for myself in 2019 I ran paid media at Meredith Corporation for titles including People and Better Homes & Gardens, and I have a marketing degree from the University of Northern Iowa. That decade of marketing work is the actual reason the paid skills are worth anything. The subject-matter expertise is the product, not the file format, and you can start with the free ones.

I teach Claude Code to marketers who do not write code, which is a narrow lane on purpose. If you want the unvarnished version of that, read how I run social media with Claude Code.

Skip if: you want breadth. I cover one stack in depth and I will not be the person who tells you what launched this week, and unlike Sabrina or Koerner I do not have a long written archive to work through.

4. Mark Kashef (Best for prompting and agent depth)

Mark Kashef runs an 81.7K subscriber channel and describes himself as having over ten years in data science and machine learning.

His social accounts are close to dormant, which is worth saying because it shows the test I am using is not really "post everywhere." Kashef publishes almost nothing on X or TikTok and still clears the bar.

He clears it on third-party vetting instead. He teaches live courses through O'Reilly, holds a listing in the Microsoft Learn creator community, runs the Prompt Advisers consultancy, and has a Skool community past 1,300 members. Somebody other than Kashef decided he was qualified, and that is the signal, not the platform count. His teaching runs closer to the engineering end, covering how a multi-step system behaves when it breaks.

Skip if: you want marketing strategy rather than engineering, or you are looking to learn entirely from free material.

5. Riley Brown (Best for building apps with AI)

Riley Brown has 269K YouTube subscribers, and YouTube is not even his biggest room. TikTok is, at 636K followers, and he runs Instagram and X at real scale alongside it. The material changes shape on each one rather than being cross-posted.

On the vetting test he clears it twice. He co-founded Vibecode, which raised a $9.4 million seed round led by Alexis Ohanian's Seven Seven Six, and Forbes featured him on vibe coding alongside Andrej Karpathy. Investors doing diligence is a harder filter than an audience clicking subscribe.

Worth knowing going in. His educational videos and his own products live in the same territory, and he has been criticized publicly for pointing viewers toward his own app inside content framed as neutral teaching. I still rank him here because the underlying work is real and the tutorials genuinely teach, but it helps to notice which product a given video is built around.

Skip if: you want a reviewer with no stake in the tools. He builds in the category he teaches, which is exactly why the builds are good and also why you should know it going in.

6. Matt Wolfe (Best for knowing what shipped this week)

Matt Wolfe is at 992K subscribers with 760 videos, and he is the exception I flagged earlier. His main output is news-cycle coverage, which I said is weak evidence on its own.

The difference is that he does the boring maintenance work underneath it. He built FutureTools.io, a directory tracking thousands of AI tools that has to be kept current every week, with a newsletter its own signup page puts at 250,000 readers. He also co-hosts The Next Wave, published through the HubSpot Media Network, which is a credential somebody else issued him.

Reacting to launches is easy. Maintaining a catalog that is wrong in public the moment it goes stale is not, and that is what earns him the spot.

One caveat worth holding. FutureTools carries affiliate relationships and he openly describes himself as an investor in AI companies, including Canva and Replit. Tool-roundup content is commission-shaped by nature, so read his recommendations as informed rather than disinterested.

Skip if: you want depth on one workflow. His job is breadth, and breadth has a cost.

7. Corey Ganim (Best for operators who already run a business)

Corey Ganim has 22.1K subscribers against roughly 1,100 videos, which tells you where his effort goes.

His Build With AI podcast is 188 episodes deep and still publishing, and the format is operators sharing a screen and building live. He also writes a newsletter, runs a paid community, and co-founded Return My Time, which builds AI agents that answer leads and follow up with customers for other businesses. That is the off-YouTube evidence this list looks for: he is selling the thing, not just describing it.

One thing to weigh. His own site and his LinkedIn give different lifetime revenue figures, both self-reported, so treat any number he quotes as a claim rather than a verified fact. The podcast and the company are the parts you can check.

Skip if: you have not started a business yet. His material assumes you already have operations to point AI at.

8. Sandy Lee (Best for starting with no technical background)

Sandy Lee has 66.1K subscribers on a channel that only opened in October 2025, the shortest tenure of anyone here.

The backstory is the reason she is here. She previously grew an audience she puts at 550K across three platforms teaching Spanish to Korean speakers, and says she barely monetized any of it before burning out. She is rebuilding from zero with the monetization figured out first, and that scar tissue shows up in what she teaches.

Alongside the channel she runs a paid Skool community, a Substack and a podcast, and teaches Claude Code and Claude Cowork to people with no technical background. I had her on my own channel to walk through the rebuild.

Skip if: you want a long track record. The channel is under a year old, so if you prefer someone with years of archive behind them, start elsewhere and come back.

9. Corbin Brown (Best for building software without coding)

Corbin Brown has 181K subscribers under the tagline "build real software without learning to code."

He runs Thumio, an AI thumbnail tool, and sells Boost OS as a one-time purchase rather than a subscription. That pricing choice is worth noting on its own, because a one-time fee gives him no recurring revenue to protect if the product disappoints.

One caveat on credentials. His verifiable biography is the thinnest of anyone here, with no confirmable education or employment history, and I could not find independent reviews of either product. He is the one person on this list who does not clear my "did somebody else vet them" question, which is why the shipped software carries the weight.

Skip if: you want a documented pedigree before you take advice. He is here on what he has shipped, so judge him on the software rather than the resume.

10. Brooke Wright (Best for women founders scaling with AI)

Brooke Wright has 9.1K YouTube subscribers, the smallest channel on this list, and 781 videos published against it.

A subscriber ranking filters her out entirely, and that is the case for reading this list differently. The work sits elsewhere: a paid Skool membership, a 31-episode podcast, a newsletter, and her own live event in Sydney this November.

On outside vetting she clears the bar through AI-CON Australia, which put her on its speaker roster. She teaches AI systems to women founders and neurodivergent entrepreneurs, and her consulting page carries an explicit "not a fit if" section with pricing published rather than hidden behind a sales call.

On that note, treat her audience figures with care. Her site, YouTube and Threads bios each give a different total, so I am not repeating any of them as fact.

Skip if: you are not the reader she writes for. She has picked a specific audience and serves it closely, which is a feature if you are in it.

How to choose who to actually follow

You do not need ten subscriptions. You need two or three that match what you are trying to do this quarter. These are the questions I apply before following anyone in this category.

• Did somebody else vet them? A publisher, a conference, an acquirer or a platform partner applies a standard the creator does not control.
• Have they shipped something with a price on it? Selling the thing exposes you to refunds, support tickets and reviews. Teaching about it does not.
• Is the advice specific enough to be wrong? Vague advice cannot fail, which is what makes it useless.
• Can you find them being critical? Not contrarian for sport. One documented case of them saying a popular tool was not worth it.
• Does the archive show a habit? A long back catalog with consistent dates is harder to stage than a good month.

Every count on this page came off a live channel or site in August 2026, and where a figure is self-reported I have said so rather than laundering it into a fact.

Who I left off, and why

Most lists in this category are built from the research and academic tier. Andrej Karpathy, Grant Sanderson, Yannic Kilcher, Lex Fridman and Two Minute Papers show up on nearly every one.

They are genuinely excellent and I left them off on purpose. This list is for people trying to apply AI to a business, and that tier teaches how the models work rather than what to do on Monday. Different job, different list.

I also left off anyone whose income claims trace back mainly to selling the course rather than doing the work. That pattern is common in AI automation right now, and it is the exact thing this list exists to filter.

Ryan's Final Thoughts

Follow two people from this list, not ten. Pick the ones whose off-YouTube work matches what you are building, then read the newsletter or join the community rather than only watching.

The channel is the advertisement. The newsletter, the podcast and the paid product are where someone has to be right in front of people who can ask follow-up questions.

Once you have picked your two, the same test applies to what lands in your inbox and which rooms you pay to sit in. I put the best AI newsletters and the best AI communities through it separately.

Disclosure: I am on this list, and I sell AI marketing products and consulting, which makes me a competitor to several people named here. Some links in this post are affiliate links, and I may earn a commission at no extra cost to you. Nobody paid or was asked to be included. Full disclosure.