Summary of "5 EASIEST Ways to Make Money With AI (No One is Doing This)"

High-level thesis

AI adoption is a major near-term revenue opportunity — framed in the source as the “biggest money-making opportunity for 2026.” To capture it you must move beyond toy prompt engineering to building repeatable workflows/agents and productized services that solve clear business pain points.

Three strategic mindset shifts

• Agentic automation / workflows Think in end-to-end workflows (data → action → follow-up) that can be automated and run continuously for clients.

• Context engineering > prompt engineering Focus on how much and which context to supply the model (data, examples, tone, constraints), not just writing single prompts.

• Low adoption = runway Only ~5–10% of internet users are using AI heavily today, so there’s large upside in adoption and productization.

Five concrete business playbooks

Each playbook includes process, pricing examples, and tools.

1) Poach competitor customers via review scraping (Outbound + sales automation)

• Playbook (process)

  1. Scrape negative reviews from Trustpilot and other review sites.
  2. Identify reviewers’ LinkedIn profiles.
  3. Enrich with email addresses (e.g., Apollo).
  4. Run automated targeted outreach (e.g., Instantly) with Calendly links.
  5. Book calls and close clients for your product/service or work on commission.

• Example metrics / case study

  • Scraped 290 reviews → found 203 LinkedIn profiles.
  • 11% email reply rate → 23 replies.
  • 19 calls booked → 8 clients closed.
  • Avg deal size: $4,000 → >$35,000 revenue.
  • Commission example (10–15%): agent earns >$5,000 from one campaign.

• Scalability

  • Set up once per competitor/company and replicate across accounts.
  • Run daily to continuously surface “angry customers.”

• Tools mentioned

  • Trustpilot, Claude (scanning/analysis), Apollo (enrichment), Instantly (email outreach), Calendly (booking).

• Actionables

  • Build a repeatable pipeline, create outreach templates, and track reply/call/close rates per campaign.

2) License your voice / create monetized voice assets (passive income)

• Playbook

  • Record a high-quality voice model (11 Labs) and submit the voice to a platform marketplace. Earn revenue share based on usage/subscriptions.

• Example result

  • One person earned ~₹40,000 by publishing a voice once.

• Requirements / caveats

  • A unique/useful voice and compliance with platform terms.

• Tool

  • 11 Labs

• Actionables

  • Produce professional recordings, register the voice on the platform, and market to creators/publishers if allowed.

3) AI consultancy and enterprise training (B2B services + recurring revenue)

• Playbook

  1. Create thought-leadership content about AI agents/workflows.
  2. Capture leads (Topmate/Calendly).
  3. Sell training sessions for employees.
  4. Implement AI agents/workflows for teams.
  5. Offer ongoing management / recurring fees.

• Pricing examples (INR)

  • Employee training sessions: ₹1–5 lakh per session.
  • Additional setup and recurring management fees on top.

• Requirements

  • Deep practical knowledge of tools, training/communication skills, visible content presence.

• Tools to implement/train on

  • Claude, Claude Co-work, Replit, Make.com (and more).

• Actionables

  • Package training as a productized session, create case studies, and define a monthly management SLA.

4) Creator / founder content-as-a-service (productized creative services)

• Playbook

  • Onboard creators/founders, collect examples of their writing/tone, train a lightweight model or cloud project to reproduce tone, and generate LinkedIn posts, short-form scripts, thumbnails, carousels, and infographics on demand.

• Pricing examples (INR)

  • Monthly retainer for writing: ₹10–20k.
  • Thumbnails/infographics: ₹500–800 each.
  • Potential income: ~₹30–50k/month working with a couple of creators.

• Tools

  • Nano Banana Pro (thumbnail/carousel), prompt engineering + cloud project for fine-tuning outputs.

• Actionables

  • Create a “voice/tone” kit per client, produce templates, and define per-piece and retainer pricing.

5) Build and sell local business websites (local SMB GTM)

• Playbook

  • Find local shops, clinics, real estate agents, interior designers without websites. Build a site using AI-assisted site builders via a refined prompt. Pitch a pre-built site and offer optional monthly management.

• Pricing examples (INR)

  • One-time site sale: ₹4–5k.
  • Monthly maintenance: ₹1–2k.

• Business value

  • Improved trust, Google visibility, lead capture — easy ROI story for SMBs.

• Tools mentioned

  • Replit (and other site-builder platforms), Claude/GPT for prompt refinement.

• Actionables

  • Create a rapid demo site for each vertical, prepare a one-page pitch with ROI, and close with a fixed-price + maintenance plan.

Key metrics, KPIs and targets cited

• Adoption / market

  • Only ~5–10% of the internet population are heavy AI users (implies large TAM growth potential).
  • Indian youth survey: 69% use AI tools for doubt/problem solving (awareness figure).

• Outreach campaign example funnel

  • 290 reviews → 203 LinkedIn profiles found.
  • 11% reply rate → 23 replies.
  • 19 calls booked → 8 clients closed.
  • Avg deal size $4,000 → >$35,000 revenue.
  • Commission (10–15%) → >$5,000 to the agent.

• Pricing examples (INR)

  • Corporate training: ₹1–5 lakh per session.
  • Creator retainer: ₹10–20k/month.
  • Thumbnail/infographic: ₹500–800 each.
  • Local website: ₹4–5k one-time; ₹1–2k/month maintenance.
  • Voice revenue example: ~₹40,000 (one person’s result).

Actionable recommendations / quick checklists

• Outbound poaching pipeline

  1. Build an automated scraper for negative reviews (Trustpilot + other sites).
  2. Enrich identities (LinkedIn → email via Apollo).
  3. Prepare templated outreach (Instantly) with Calendly links.
  4. Measure: review→contact rate, reply rate, booked call rate, close rate, avg deal size, commission per deal.

• Enterprise consulting

  1. Publish content/case studies to attract leads.
  2. Productize a 1–2 hour training and a hands-on implementation package.
  3. Offer a 30/60/90-day implementation + monthly management SLA.

• Creator services

  1. Capture 10–20 sample posts to create a style dataset.
  2. Build templates and an approval loop for revisions.
  3. Upsell thumbnails/shorts/carousels as add-ons.

• Local website sales

  1. Build a demo site for each vertical (dentist, pet shop, real estate).
  2. Use a simple ROI pitch (new customers via Google + trust).
  3. Offer a low-cost maintenance subscription to create recurring revenue.

Tools, platforms, and learning resources mentioned

• Automation / outreach / enrichment: Apollo, Instantly, Calendly, Topmate
• LLMs / AI agents / creation: Claude, Claude Co-work, GPT (ChatGPT), Replit, Make.com
• Voice monetization: 11 Labs
• Design / content tools: Nano Banana Pro (thumbnail/graphics generator)
• Website builders / rapid sites: Replit (and other site-builder platforms referenced)

Courses

• AI For Everyone (Andrew Ng / DeepLearning.AI) — beginner course
• Generative AI Engineering (IBM) — hands-on
• Vanderbuild (prompt engineering course referenced; transcript name uncertain)
• Additional courses available on Coursera (links referenced in source video)

Risks and caveats

• Platforms’ terms of service: Scraping review sites, mass outreach, and creating voice clones may violate legal/ToS restrictions. Verify before scaling.
• Quality / delivery risk: Enterprise clients expect reliability and measurable uplift. Productize SLAs and metrics to manage expectations.
• Competition: As adoption rises, margins and uniqueness may compress. Focus on repeatability and specialization.

Presenters and sources

• Presenter: Isan / Ishan Sharma (name appears in transcript as both).
• Cited examples and people: friend Priyam (Twitter), an unnamed Twitter user who ran the review-to-sales campaign.
• Courses/organizations referenced: Andrew Ng / DeepLearning.AI, IBM, Vanderbuild, Coursera.
• Tools/Platforms referenced: Trustpilot, Claude, Apollo, Instantly, Calendly, 11 Labs, Replit, Make.com, Nano Banana Pro.

Category

Business

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