Make Money Selling AI Images From MidJourney

Make Money Selling AI Images From MidJourney

by Matt Wolfe

Applied Sciences & Engineering Economics & Finance KJMVManagement of specific areasKJMV7Sales and marketing management
🎙 Matt Wolfe 👥 1.0M 📅 January 9, 2023 ⏱ 23 min 👁 314K 📄 tutorial 🧭 2026-08-28
Available in: English (current) Français

Keywords

AI artMidJourneyAdobe Stockupscalingstock photography

Summary

Matt Wolfe presents a tutorial on earning money by selling AI-generated images on Adobe Stock. He begins by sharing his own results: approximately $47.78 earned from 54 images in about a month. He explains Adobe’s policies on generative art, emphasizing the need to avoid disfigured anatomy, multiple variations of the same prompt, and content that misleads buyers. The workflow involves researching top-selling images via Adobe’s ‘Insights’ section, generating similar images with MidJourney, cropping borders, upscaling to meet resolution requirements (using either paid Topaz Gigapixel or free alternatives), and then uploading with appropriate titles and keywords. He also mentions Wirestock, a service that distributes images to multiple stock platforms. The video concludes with tips on volume and consistency, and a promotion for his FutureTools.io newsletter.

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Critical Evaluation

Value of the Information & Strength of the Argument

The video provides a clear, actionable method for generating income from AI art, backed by the creator’s own modest but real earnings. The argumentation is practical and grounded in personal experience, avoiding exaggerated claims. The step-by-step demonstration, from idea generation to final upload, adds practical value. However, the income potential is presented as ‘fairly passive’ and the creator acknowledges that most images won’t sell, which tempers expectations. The advice to check Adobe’s terms is responsible, given the evolving legal landscape.

Scientific Rigor, Source Quality, Title Accuracy

The video references official Adobe Stock contributor guidelines and links to relevant tools. The creator is transparent about his earnings and the limitations of the method. The title accurately reflects the content, which is a tutorial on selling AI images. The sources cited are primarily the tools and platforms mentioned, which are directly relevant. The video does not cite academic or scientific sources, but it is a practical tutorial rather than a research piece. The creator’s personal experience serves as the primary evidence, which is appropriate for this type of content.

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Title / Content Match

The title accurately reflects the content: a tutorial on generating income by selling AI-generated images from MidJourney.

Quality & Reliability

7/10

The video provides a practical, step-by-step tutorial based on the creator's personal experience, with transparent reporting of modest earnings. It includes references to official Adobe Stock terms and tools, but relies on anecdotal evidence and lacks independent verification of income claims.

Key Moments

Markers derived by PSI from the transcript: the creator did not define chapters.

Cited Sources

Concurring Sources

  • Adobe Stock Generative AI Content Policy — Confirms that Adobe allows AI-generated content with specific guidelines.

Contribution & Novelties

The video offers a practical, step-by-step method for monetizing AI-generated art, which is a relatively new and evolving field. It provides specific techniques for finding marketable niches using Adobe Stock’s Insights, and for preparing images to meet platform requirements. The comparison of paid vs. free upscaling tools and the introduction of Wirestock as a multi-platform distribution service add practical value.

Pour aller plus loin :

  • Adobe Stock Contributor Guidelines — Official policy on AI-generated content, essential for compliance.
  • MidJourney Documentation — Official guide to using MidJourney, including prompt techniques.
  • Topaz Gigapixel AI — Commercial upscaling tool mentioned in the video.
  • Wirestock — Platform for distributing images to multiple stock sites.
  • AI and Copyright: A Guide for Creators — Overview of copyright issues related to AI-generated art.

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Radar Profile

The radar profile shows high scores in quantity and quality of information, indicating a content-rich tutorial. The technical level is moderate, suitable for beginners. The global reliability is good, but the lack of independent verification of income claims prevents a higher score.

Reliability 7/10

💬 Très positif. Sur les 30 commentaires analysés, la majorité exprime de la gratitude et de l'enthousiasme pour les conseils pratiques, avec quelques retours d'expérience positifs et des questions sur le processus.