Summary
Julia McCoy draws on her history running a 100-person SEO content agency (sold in 2021) and subsequently leading an AI content company to argue that current AI pessimism is misdirected: the technology itself is working fine, but a layer of overnight “guru” educators is collapsing under its own contradictions.
McCoy traces the pattern through three prior gold rushes — SEO in 2012, dropshipping in 2017, crypto in 2021 — and argues that each time, the teaching layer inflated rapidly and then evaporated when the underlying dynamics shifted, while practitioners who were actually using the tools survived. She identifies the same pattern in AI now, and offers what she calls the half-life argument: unlike previous gold rushes where a real knowledge gap sustained the teaching layer for years, AI tools like Claude close their own knowledge gap in real time, meaning shallow courses become obsolete in weeks rather than years.
The video proposes a five-point scorecard for evaluating anyone selling AI education: an 18-month history test (what were they doing before it was hot?), receipts showing results before any course launched, a tool-versus-teaching revenue test, specificity of claimed outcomes, and transparency about what doesn’t work. McCoy applies the scorecard to herself — noting her AI clone generates over a million impressions monthly from systems she teaches — and invites viewers to hold her to the same standard. The piece is notable for acknowledging its own potential conflict of interest explicitly.
📺 Source: Julia McCoy · Published September 11, 2026
🏷️ Format: Opinion Editorial
