Digital Products Half-true — works only if you do the unspoken work

By the Income Reality Check Editorial Team · Updated 2026-05-19 · 7 min read

Richard Yu’s 5 digital products of 2026: the math behind the McLaren pitch

Verdict: Half-true — works only if you do the unspoken work. The five categories Yu names are real businesses, but the student testimonials sit at the very top of the distribution and the video’s actual payload is a funnel to his paid coaching program.

Richard Yu’s video “These 5 Digital Products Are Making the Most Money in 2026” has pulled in over 57,000 views with a confident pitch: AI apps, custom GPTs, AI product arbitrage, ebooks and mini-courses are the five categories minting money this year. He frames the proof in personal numbers — $35 million in lifetime digital product sales, a McLaren won in a sales contest, a $500K/month software company called Allen AI — and student stories that range from $1,000 sales before 100 followers to a stay-at-home mom clearing $21,000 in her second month. Are the categories real? Yes. Are those numbers what you should expect? Not even close.

What the video actually claims

Yu walks through five product types in roughly the same shape: here is the thing, here is a tool that builds it for you, here is a student who got rich doing it. For AI apps, the tool is Base44, a no-code “vibe-coding” app builder he promotes with a 30%-discount affiliate link in the description. For custom GPTs, the workflow is “ask ChatGPT to write the prompt that builds your GPT.” For AI product arbitrage, he says creators pay “50 to 90% commissions” on done-for-you offers, and cites a student named Lola who “did $1,000 in sales before she ever had a hundred followers” and crossed $12,000 with only a few hundred. For ebooks, he says lazy AI ebooks fail but expertise-backed ebooks still sell at $27–$97. For mini-courses, he cites Priscilla (stay-at-home mom, $21K in month two teaching TikTok Shop to Christian women) and Sean (former nurse, $20K–$30K/month from a breakup-recovery course).

The video then closes with the actual ask: click the description link to watch a “full master class” that walks through “the entire system” his students use. That master class, in turn, routes to Yu’s coaching program — branded as Impact Clients — which is the business the video is really selling.

What he does not say on camera: testimonial-based income claims like the ones he features are exactly the category U.S. regulators have spent the last two years tightening rules around.

What the method actually requires

Pull apart each of the five and the unspoken costs show up fast.

AI apps via Base44. The free plan is 25 message credits per month — enough to build a toy demo, not a product you can sell. Real building starts at $16/month (Starter) when paid annually, $40/month (Builder) for two or three active apps, and $80–$160/month for anything with real users, according to Base44’s own pricing page. That ignores the integration credits an AI-powered app burns every time a user makes a query: a chatbot with 100 users making 10 queries each chews through 1,000 integration credits, roughly half the monthly allowance on Starter. You’re paying for the picks and shovels before you have a single buyer.

Custom GPTs sold on the OpenAI store. OpenAI’s own creator program pays a share of conversation revenue, and reporting from independent guides puts the average around $0.03 per conversation — meaning you need roughly 33,000 quality conversations a month to clear $1,000. Most listed creators earn nothing because they don’t meet the minimum weekly conversation threshold. OpenAI’s GPT Store announcement describes the program’s structure but does not promise any specific income. The “sell access directly” workaround Yu mentions requires you to build a separate paywall, a payment processor and a marketing site — none of which the video walks through.

AI product arbitrage. Strip the branding off and this is affiliate marketing for digital info-products, often the same MRR (master resell rights) ecosystem that’s drawn its own scrutiny. Commissions of 50–90% are real for some programs, but Investopedia’s overview of affiliate marketing notes that beginner affiliates typically clear far below the headline rates because conversion is the bottleneck, not commission. Industry trackers put a first-year beginner’s range at roughly $0–$1,000/month, with most landing around $300–$500/month by month 12. TikTok organic affiliate conversion sits at 1–3%. Hitting Lola’s numbers without a face requires posting one to two AI-generated videos every day for months and hoping the algorithm picks one up.

Ebooks and mini-courses. These categories work. They also work much less often than the pitch implies. Thinkific reports the average paid-plan creator earns roughly $1,200/month. Kajabi puts average creator revenue at about $37,000 a year — gross, before refunds, ad spend, platform fees and taxes. Teachable’s published statistic that 64% of “top schools” clear $2,500/month is, by design, a slice of the top performers, not the average user.

The right-hand column is real. It is also the 99th percentile, and the video presents it as the standard outcome.

Who actually wins this game?

Look at who succeeds in every example Yu names and a pattern shows up. Allen AI took “over seven figures to invest and build” — his own words. Priscilla had a pre-existing community: she ran a women’s ministry at her church, which is an audience and a trust network most beginners don’t have. Sean was a registered nurse selling a relationship-recovery product, leveraging perceived professional credibility. Lola posted “one to two posts every single day” — that’s a part-time job, not a passive income stream, and we have no independent way to verify her numbers.

The winners in digital-product land tend to be one of four things: people with an existing audience, people with paid-traffic budgets, people with deep niche expertise, or people who moved early on a platform before saturation. They almost never look like the “no skills, no audience, no face” persona the pitch is selling to. For a parallel breakdown of who actually clears five figures from these workflows, see our review of 12 passive income ideas tested over a year and our look at the AI side-hustles that actually move money.

What you’d realistically earn

If you started one of the five tomorrow with no audience and no budget beyond a $40/month Base44 plan or a $39/month Thinkific plan, the honest expectation curve looks like this: months one through three, $0–$50 in revenue while you learn the tooling and post content into an empty feed; months four through six, $50–$500/month if you’re consistent and one piece of content gets lucky; months seven through twelve, $300–$2,000/month if you’ve nailed a niche, a hook and a repeatable content cadence. Anything beyond that requires the same boring things every online business needs — search rank, email list, paid ads or a real audience.

Yu’s testimonials cross $10,000 in months that most full-time creators don’t reach in a year. Possible? Sure. Typical? No, and that distinction matters legally, not just rhetorically. The FTC’s Consumer Reviews and Testimonials Rule took effect on October 21, 2024, with penalties of up to $51,744 per violation for misleading testimonial practices. In January 2025, the FTC went further and proposed expanding the Business Opportunity Rule to cover “money-making opportunities” including business coaching, requiring sellers to substantiate any earnings claims and to share that substantiation on request. U.S. readers should know: a “results not typical” disclaimer alone has been repeatedly rejected by courts as a fix for atypical testimonials. The FTC’s 2024 guidance on multi-level marketing earnings claims requires that any income claim be “based on reliable empirical evidence” and net of expenses, not just gross revenue.

That rule doesn’t say testimonials are illegal — it says you have to be ready to show your work.

Who this is (and isn’t) for

This pitch makes sense for one specific reader: someone with 10+ hours a week, $50–$200/month for tooling, an existing skill or community they can package, and the patience for a six- to twelve-month ramp before money meaningfully shows up. The AI tools genuinely have lowered the production cost of digital products — that part of the pitch is real. Building a custom GPT or a no-code app today is hours of work, not months. The ebook category is not dead. The mini-course format does work better than the bloated $2,000 course.

It does not make sense for someone with no time, no skill, no audience, and the expectation that AI distribution will replace the distribution work. The video promises faceless content can do that. The conversion math on TikTok organic — 1–3% on a tiny following — says otherwise.

If you are considering Yu’s paid program after the master class, do what the FTC’s proposed rule would soon require him to provide anyway: ask for the substantiation. Specifically, ask for the typical-buyer outcome distribution — not the highlight reel — and the refund rate. Independent reviews of his Impact Clients program are mixed, with recurring complaints about upsell pressure and refund difficulty. That is not unique to Yu; it is the texture of the high-ticket coaching category.

What to remember

Five real categories, five real ways people make money, and a presenter who is using survivorship-biased testimonials to sell a coaching program. The unspoken work is the marketing, the daily content cadence, the paid tooling, and the months of zero before the curve bends. If you can do that work, the categories pay. If you can’t, no AI tool will close the gap for you.