How Much Does a 900k YouTube Channel Make? (Answering All Your Questions)

How Much Does a 900k YouTube Channel Make? (Answering All Your Questions)

by Matt Wolfe

Humanities, Social Sciences & Thought Computing & Cybersecurity UDBInternet guides and online servicesUDBSSocial media
🎙 Matt Wolfe 👥 1.0M 📅 April 15, 2026 ⏱ 41 min 👁 53K 📄 expert opinion 🧭 2026-08-28
Available in: English (current) Français

Keywords

YouTube revenueAI video generationDaVinci Resolveautomationstudio setup

Summary

In this Q&A video, Matt Wolfe, a tech YouTuber with nearly 900k subscribers, answers a wide range of questions from his audience. He begins by explaining how he creates his AI-generated intros, using tools like Leonardo AI with models like Kling and Veo, and demonstrates his editing process with DaVinci Resolve and the Recut tool. He then gives a tour of his home studio, showcasing his equipment including cameras, Stream Deck, and a DGX Spark for local AI models. He discusses his computer setup, recommending a PC with an Nvidia GPU for local model running. He shares his automation workflows using n8n and make.com to manage his Future Tools website and news aggregation. He addresses questions about AI’s impact on creators, his thoughts on ChatGPT vs. Claude, and how he keeps up with AI developments. Finally, he reveals his YouTube revenue, stating he makes around $10,000 per month from AdSense, and discusses his plans for reaching 1 million subscribers. The video is a mix of practical tutorials, personal insights, and transparent financial disclosure.

173 words

Critical Evaluation

Value of the Information & Strength of the Argument

The video provides high practical value for aspiring YouTubers and content creators, offering detailed, step-by-step tutorials on video editing, AI tool usage, and automation. The creator’s transparency about his revenue and workflow is refreshing and adds credibility. The argumentation is based on personal experience and is presented in a clear, logical manner, though it lacks external data or comparative analysis to strengthen the claims.

Scientific Rigor, Source Quality, Title Accuracy

The video is a personal account without formal citations, but the creator references specific tools and platforms (e.g., Leonardo AI, Recut, n8n) which are verifiable. The title accurately reflects the content, which is a Q&A covering revenue and other topics. The description includes links to his website and social media, but no external sources are cited. The content is consistent with the creator’s expertise in AI tools and content creation.

149 words

Title / Content Match

The title accurately reflects the content, which is a Q&A covering the creator's YouTube earnings and various behind-the-scenes aspects of his channel.

Quality & Reliability

7/10

The creator provides transparent, first-hand insights into his YouTube workflow, equipment, and revenue, which is valuable for its authenticity. However, the video is largely anecdotal and lacks external verification or data sources, limiting its scientific rigor.

Chapters

Cited Sources

  • Future Tools — The creator's website for AI tools and news, mentioned as a resource for keeping up with AI.
  • Future Tools Newsletter — The weekly newsletter mentioned for staying updated on AI developments.
  • OptiDev — Sponsored tool for building AI apps, mentioned in the video.
  • Matt Wolfe on LinkedIn — Social media profile mentioned in the description.
  • Matt Wolfe on Threads — Social media profile mentioned in the description.

Concurring Sources

  • Future Tools — The creator's own website, which aligns with his expertise in AI tools.

Contribution & Novelties

The video offers a unique behind-the-scenes look at a successful tech YouTuber’s workflow, including specific AI tools and automation setups. It provides actionable insights for content creators, such as using AI for intros and editing, and transparently discusses revenue, which is rare in the creator economy. The ‘Pour aller plus loin’ section suggests exploring related concepts.

Pour aller plus loin :

  • AI video generation — Overview of AI-generated media, relevant to the intro creation process.
  • DaVinci Resolve — Professional video editing software used in the video.
  • n8n — Workflow automation tool mentioned for building automations.
  • make.com — Another automation platform used by the creator.
  • Stream Deck — Device used for live editing and scene switching.

115 words

Radar Profile

The radar profile shows high scores in information quantity and quality, reflecting the video's rich content and practical value. The technical level is moderate, suitable for a general audience, while reliability is solid due to the creator's transparency and experience.

Reliability 7/10

💬 Très positif. Sur les 30 commentaires analysés, les spectateurs expriment une forte appréciation pour la transparence et l'authenticité de Matt, avec des remerciements pour le partage de son expérience et de ses coulisses.