When Will AI Replace Formateur en développement personnel ?

The impact on Self-Enrichment Teachers is unfolding rapidly, with AI automation set to significantly alter the landscape by 2028. While specific early, mid, and late stages are not precisely defined, the overall trend points to substantial AI integration across the field.

The early wave of AI impact involves the automation of core instructional delivery. This includes AI's capability in personalized lesson planning, providing real-time feedback to students, and creating adaptive learning paths tailored to individual needs.

The mid-wave transformation will see AI further solidify its role through automated assessments and the scaling of AI tutors. This will create significant shifts in how enrichment education is delivered and consumed, challenging traditional models.

Teachers offering skills that are easily digitized are most at risk from AI automation. This includes instruction in areas that can be effectively replicated through online platforms and AI-driven tools, potentially reducing the need for human instructors in certain capacities.

The executive summary does not provide specific data on safe roles or salary increases, focusing instead on the broad impact of AI automation on the field of self-enrichment teaching.

To navigate the AI-driven transformation, self-enrichment teachers must adapt. The rise of platforms like Duolingo, MasterClass, Skillshare, and Coursera, alongside emerging AI tutors, highlights the shift towards scalable, personalized online learning.

Teachers need to consider how their offerings compare to the price competition from massive online courses, often priced at $15-30/month versus $50-200 per in-person session. Embracing online learning and demonstrating unique value will be crucial.