Comment Gagner de l’Argent avec l’IA

Comment Gagner de l’Argent avec l’IA

🎙 Yassine Sdiri 👥 262K 📅 October 12, 2025 ⏱ 16 min 👁 92K 📄 expert opinion 🧭 2026-08-03
Available in: English (current) Français

Keywords

AI consultantprompt engineeringautomationMakeN8Nspecializationbusiness modelSaaSagencyroadmap

Summary

The video presents a method for making money with AI by becoming a consultant, even with no prior experience. The creator, Yassine Sdiri, shares his personal journey from zero AI experience to consulting for companies generating over 300 million euros annually. He argues that the best starting point is not creating a SaaS or an agency, but rather offering consulting services, as it requires no capital, allows learning while earning, validates the market, and provides a transition to larger business models. He outlines a three-step roadmap: first, find a competitive advantage by specializing in a specific sector based on existing expertise or access to a network; second, develop skills by delivering initial projects, focusing on practical tools like prompt engineering and automation with Make and N8N; third, scale by standardizing solutions and eventually building a SaaS or agency. The video emphasizes the importance of solving real problems and avoiding the common mistake of building solutions based on assumptions. It includes statistics on job displacement and examples like Accenture’s layoffs to highlight the urgency of adapting to AI. The creator also mentions his own startup experience and the lessons learned from its failure. The overall message is that consulting is the safest and most effective entry point into the AI industry.

210 words

Critical Evaluation

The video offers a pragmatic and structured approach to entering the AI field as a consultant. The author’s personal experience adds credibility, but the content is largely anecdotal and lacks rigorous scientific evidence. The statistics cited (e.g., 44% of companies replacing employees with AI, PwC’s prediction of 30% automation) are presented without specific sources, which weakens the factual foundation. The argumentation is coherent: the author systematically compares three business models (SaaS, agency, consulting) and explains why consulting is the most accessible for beginners. He supports his claims with a personal story of a failed startup, which illustrates the risks of building products without market validation. However, the video is essentially an opinion piece and a promotional tool for his academy, as evidenced by the repeated references to his training program. The technical depth is limited; while he mentions tools like Make and N8N, he does not provide detailed guidance on how to use them. The advice on specialization is sound and aligns with common business wisdom. The title accurately reflects the content, and the video is well-structured with a clear roadmap. The main weaknesses are the lack of verifiable sources, the promotional nature, and the absence of concrete case studies or data on the success rates of the proposed method. The video would benefit from citing specific studies or providing more detailed examples of consulting projects. Overall, it provides useful introductory advice for aspiring AI consultants but should be complemented with more rigorous research and technical training.

247 words

Title / Content Match

The title accurately reflects the content, which focuses on making money with AI through consulting.

Quality & Reliability

6/10

The video presents a personal opinion and experience-based advice on becoming an AI consultant. It includes some statistics and examples but lacks rigorous sourcing and scientific depth. The claims about job displacement are not backed by specific studies, and the business model advice is anecdotal.

Key Moments

Cited Sources

Concurring Sources

  • Accenture layoffs announcement — The video cites Accenture's layoffs as an example of AI's impact on jobs.
  • PwC prediction on automation — The video cites PwC's prediction that 30% of jobs could be automated by the mid-2030s.

Dissenting Sources

  • No specific source — The video does not provide specific sources for the statistics on job displacement, making them difficult to verify.

Contribution & Novelties

The video provides a clear, step-by-step roadmap for becoming an AI consultant from scratch, emphasizing the importance of specialization and practical learning. It contrasts with common advice that pushes for creating SaaS or agencies, offering a more accessible entry point. The author’s personal experience adds a unique perspective.

Pour aller plus loin :

  • Prompt engineering — Relevant for understanding the core skill mentioned.
  • Make (software) — Relevant for automation tools mentioned.
  • N8N — Relevant for automation tools mentioned.
  • Consulting — Relevant for the business model discussed.

86 words

Radar Profile

The radar profile shows moderate scores across all dimensions, with the highest in quantity of information and the lowest in technical level. This indicates a video that provides a good amount of content but lacks deep technical detail and rigorous sourcing.

Reliability 5/10

💬 No comments were provided for analysis.