A look at YouTube and TikTok “hustle gurus” claiming to teach followers how to earn passive income through dropshipping, crypto schemes, AI companies, and more
Those can't, teach. — Those who can't teach make YouTube hustle videos telling others how to get rich. … Tweets: David Teicher / @aerocles : The only get rich quick schemes that work are the ones that sell get rich quick schemes to the naive and desperate. This is the same trash content that turned clubhouse into an unusable, unbearable, shitshow (except then it was crypto/NFTs, now it's AI) https://www.vox.com/... Anthony Vicino / @anthonyvicino : “Recently the real estate YouTuber Anthony Vicino published a thorough (yet polite) debunking of many of the strategies used by these young YouTube Millionaires.” I am nothing if not polite in my takedowns. https://www.vox.com/... David / @armano : “Who young get-rich-quick gurus really owe their popularity to, however, are the elder statesmen of motivational speakers: Tony Robbins, Grant Cardone, and Gary Vaynerchuk” The founding fathers of the Grift Economy—Great weekend read https://www.vox.com/... Rob Hart / @robhartwbbm : Good piece, good thread. If you spend five minutes on IG the algorithm takes you from finance videos to hustle bros to conspiracy theories with shocking speed. https://twitter.com/... See also Mediagazer
Context & Ripple Effects
The Vox piece lands at the end of a three-year escalation in finfluencer coverage: Bloomberg documented dubious financial advice drawing millions of views on TikTok back in December 2020, the WSJ showed social media stock pickers earning more from ads than from their picks in 2021, and the NYT exposed the 'YouTube automation' course industry in August 2022. What changed with each cycle was only the product being sold.
This article names that rotation explicitly: as David Teicher's cited tweet puts it, the pitch moved from crypto and NFTs to AI — the same churn The Verge captured last month with finfluencers pushing ChatGPT get-rich-quick tutorials onto Udemy. Vox frames it as a 'grift economy' where the reliable revenue is selling the scheme, not running it.
First-order effects
- YouTube and TikTok are the direct hosts and beneficiaries: hustle content generates watch time and ad revenue regardless of whether any follower earns anything, so the platforms have no built-in incentive to throttle it.
- Debunkers like real-estate YouTuber Anthony Vicino gain an audience by politely dismantling guru strategies — criticism itself becomes a competing channel in the same recommendation ecosystem.
Second-order effects
- Scheme topics now track the hype cycle rather than any underlying opportunity: crypto gave way to NFTs and then AI within roughly two years, meaning the course sellers' business model is arbitrage on whatever platform-wide enthusiasm is newest.
- Legitimate adjacent players pay the credibility cost — Udemy-style marketplaces absorb chatbot-generated tutorial spam, and real estate or e-commerce operators compete against courses teaching their own trade as 'passive income.'
Third-order effects
- If the pattern holds, the structural shift is toward income claims becoming unfalsifiable marketing: the WSJ's finding that bullish advice drives pageviews means audience growth, not client outcomes, is the measurable KPI — an incentive structure regulators and platforms have yet to price in.
- With young users treating TikTok as a source of financial literacy per Bloomberg's earlier reporting, the grift economy pressures schools and regulators to become de facto verifiers of advice delivered by people whose actual business is the advice itself.
The trend: Finfluencing is evolving from bad advice about assets into a self-sustaining industry that sells the dream of income rather than income, rebranding around whatever technology cycle is current.