5 Ways to Make Money in 2026 (with AI)
A content creator outlines five AI-based income methods for 2026: building a personal brand for sponsorships, creating faceless videos, offering Claude training to businesses, vibe coding single-feature apps, and setting up AI marketing automations. The presenter emphasizes that none of these require deep technical expertise and that consistency is the primary success factor. Each method is broken down with specific tactical advice on execution and common pitfalls.
Summary
The presenter, who claims 30 million views per month and a profitable AI business, outlines five monetization strategies centered around AI for 2026, positioning them as accessible even to complete beginners.
Method one involves building a personal brand in AI to earn sponsorship revenue. The presenter argues that the vast majority of AI education content on platforms like TikTok and YouTube is simply a restatement of official documentation, meaning no special expertise is required. Creators can ask Claude to generate scripts or browse help docs for ideas, film short videos, and post twice daily on TikTok while cross-posting to other platforms. As followings grow, AI startups — flush with venture capital — will reach out with paid sponsorship deals.
Method two covers faceless video creation, with three sub-strategies: making AI-generated videos for TikTok Shop, running an AI avatar persona account (like the 'monk' example that reached 2 million Instagram followers selling simple products), and offering AI avatar cloning services to busy business owners who want to maintain a content presence without filming themselves. A key warning here is to avoid automating the process before manually validating what works.
Method three is offering Claude training to businesses. The presenter notes that demand for Claude specifically is surging in 2026, with many users migrating from ChatGPT. The pitch is a one-day team training that saves 5 hours per week per employee, priced at $5,000–$10,000. Outreach via cold DMs on Instagram and LinkedIn, combined with free lead magnets, is the recommended client acquisition strategy.
Method four is vibe coding, but constrained to building a single-feature app. The presenter identifies two critical mistakes: over-engineering the first version instead of delivering value within the first 90 seconds of user onboarding, and spending 90% of time on product development instead of switching to 90% marketing focus post-launch. The blog SocialGrowthEngineers.com is recommended for studying viral consumer marketing case studies. The goal is to identify a 'repeatable viral format' and deploy it through personal posting or paid micro-influencers.
Method five is setting up AI marketing automations for businesses, covering three specific tools: Go High Level (a white-label CRM with AI-powered lead follow-up and meeting booking), ManyChat for Facebook and Instagram DM automation (with a tactic of testing broken outreach funnels as a prospecting method), and LinkedIn automation tools like Expandi, Phantom Buster, and Lead Shark. All three are framed as helping businesses convert social media attention into revenue more efficiently.
The presenter closes by advising viewers to choose the path that genuinely interests them, citing lack of long-term commitment — not lack of skill — as the primary reason people fail.
Key Insights
- The presenter claims that 99% of AI education content on TikTok, Instagram, and YouTube is simply a restatement of official documentation, arguing that creators can generate entire video libraries just by reading tools like Anthropic's Claude help docs or asking Claude itself for script ideas — no personal expertise required.
- The presenter argues that the single biggest mistake vibe coders make is never switching their time allocation after launch — staying at 90% product development instead of moving to 90% marketing — which is identified as the primary reason vibe-coded apps generate zero revenue despite being functional.
- The presenter describes a specific client prospecting tactic for ManyChat automation services: deliberately commenting on a creator's or business's Instagram video to test whether their follow-up automation is broken, and then cold DM-ing them to offer to fix it if no response comes.
- The presenter uses Cal AI as a case study to argue that massively successful consumer apps can be built on a single sentence of functionality — 'user takes photo of food and AI outputs calorie breakdown' — with all additional complexity stripped from the first version to enable faster iteration and word-of-mouth spread.
- The presenter identifies a 'repeatable viral format' as the core goal of consumer app marketing, describing their own example — 'what happens when you ask Claude to make you as much money as possible?' — as a hook-and-walkthrough structure that consistently outperforms other formats and can be handed off to a network of micro-influencers.
Topics
Full transcript available for MurmurCast members
Sign Up to Access