# Как реально зарабатывать на ИИ в 2026 году (Making Money with AI in 2026) #source #ai #product ## Source Metadata - **Date:** batched 2026-06-15; underlying video undated. Duration 19:20. - **Raw path:** `raw/sources/как реально зарабатывать на ИИ в 2026 году.md` - **Source type:** YouTube video conclusions — - **Ingestion date:** 2026-07-17 - **Provenance role:** The "видео про ИИ-монетизацию" cited by the distillation and meta-analysis. **Primary origin of the four-part "pain with money" filter** that appears on [[pain-discovery]]. ## Core Claims 1. **Most AI projects die from "idea → code it in Claude/GPT → launch."** The right order is **validate market and pain first, write code last.** 2. **Three monetization paths**, each with a pipeline: **B2C** (low ticket $10–50, mass market), **B2B** (ticket $100–$100k+, more manual), **everyday AI** (services to ordinary people — coursework, presentations, texts). 3. **Solve a concrete pain, don't "build a platform."** Benefit before feature. A good product **embeds into an existing habit** rather than breaking it. ## Key Evidence / Details **B2C pipeline (6 steps):** hypothesis → monetary market check (will they pay at all) → large-scale research (Reddit/X/YouTube/Telegram + GPT deep research) → manual data verification (GPT may fabricate) → pick a target segment (not "for everyone") → **only now** build. **B2B pipeline:** (0) pick a comfortable niche (online schools, HR agencies, lawyers…) → (1) find *many* companies (Telegram, X, LinkedIn, Google Maps, 2GIS, HH) → (2) "test the ground" via DMs, 3–4 questions about manual tasks (~10% reply) → (3) find **"pain with money": frequent, costs the business money, already solved with crutches, founder understands its value** → (4) MVP in **7–14 days**, usefulness over features. **Simplified B2B:** if you know business owners — meet, hear the pain, solve it, get paid → "connections matter." **Everyday-AI pipeline:** pick 2–3 services → collect sample work (cheap/free for friends) → find clients → run a Telegram channel, collect (filtered-positive) reviews → templatize into a "library." Scalable later into B2C/B2B. **The author's proof figures (all as claimed):** Rezi (B2C) $293,256/mo; Postiz (B2C) $109,000/mo; ChatSEO (B2B, started Nov 2025) $16,000/mo. ## Connections - [[pain-discovery]] — primary source of the four-part "pain with money" filter - [[productized-service]] — MVP in 7–14 days; benefit-before-feature; templatize into a library - [[niche-selection]] — pick a target segment before building; "solve a pain, not a platform" - [[relationships-as-moat]] — the "simplified B2B" path (know owners → meet → solve → paid) rhymes with Sebastian's connections thesis - [[ai-market-shift]] — the solo-founder revenue figures feed the "team size is no longer a signal" thread ## Open Questions - Rezi/Postiz/ChatSEO revenue figures are stated without citation; Rezi's ~$293k/mo especially should be treated as a claimed headline number. - Pipelines are generic; no unit economics (CAC/LTV) — a gap the meta-analysis also flags. ## Change Impact on Wiki - Established the **named origin** of the four-part pain filter on [[pain-discovery]] (previously attributed only to the distillation). - Reinforced [[productized-service]] (MVP cadence, library/templatization) and the "team size ≠ seriousness" thread in [[ai-market-shift]]/[[future-of-engineering-work]].