3 BEST AI businesses to start before 2027 ($1,000+/day)

Overview

Nathan Nazareth compares three AI-enabled business models for someone starting from scratch, ranking them by ease of starting, required investment, and potential to scale. His stated goal is $1,000 per day, but the models measure that differently: agency revenue, digital-product sales, or e-commerce sales before costs.

The figures and outcomes below are the presenter’s examples and estimates, not guaranteed results.

Business models and scoring

Rank Model Ease Startup investment Scalability Total 1 AI e-commerce 6/10 8/10 10/10 24/30 2 Digital products 7/10 9/10 7/10 23/30 3 AI agency 5/10 9/10 5/10 19/30*

*The agency total is calculated from the presenter’s three scores.

3. AI agency

Operating playbook

• Find a service businesses already pay for, use AI to deliver it faster, and charge a recurring monthly fee.
• Two service ideas:
  • E-commerce advertising: Write scripts with Claude and produce video ads using AI actors; use image-generation tools for static ads.
  • AI reception for local businesses: Automatically respond to missed calls and messages and schedule leads, for example, for dentists or chiropractors.
• Use direct outreach to find clients. The presenter describes making hundreds of unsuccessful calls before offering a roofing company a 14-day trial: the company covered ad spend, and he would be paid only if the results were satisfactory. The business became a $2,000/month client and referred others.

Metrics cited

• One person could produce 15–20 ads per day; the presenter says businesses might pay $1,500–$3,000 per month for this service.
• AI reception was priced at $500–$1,000 per month, with tool costs described as only a few dollars monthly.
• Reaching $30,000/month would require about 15 clients at $2,000/month—equivalent to $1,000/day in revenue.
• The presenter says hiring may be necessary around five or six clients.

Trade-offs

• Low initial cost—the presenter says a laptop and AI tools can be enough—but client acquisition requires persistent sales outreach.
• Revenue depends on retaining clients; losing a large account can significantly affect income.
• The presenter found the model difficult to scale because client work and management felt like having multiple bosses.

2. Digital AI products

Operating playbook

• Start with knowledge you already have and create a simple product that solves one specific problem for a defined audience.
• Example: Build an app that generates Airbnb guest guides covering check-in, Wi-Fi, and house rules. The presenter says Base44 can generate a first version from a prompt.
• Sell the product through a website and attract customers with roughly one TikTok or Instagram video per day.

Metrics cited

• Example price: $27–$97; at $47, the presenter estimates about $45 net per sale before considering broader business costs.
• About 22 sales per day at $47 would produce roughly $1,000 in daily gross sales.
• The presenter says he has sold over 10,000 digital products since 2021.
• He describes many independent sellers plateauing around $5,000–$15,000 per month when customer acquisition becomes a constraint.
• He says his company’s larger-scale digital-product revenue comes substantially from programs used by companies, rather than only small consumer products.

Trade-offs

• No physical shipping and low setup costs, but the creator still needs subject knowledge, a useful product, and a way to reach customers.
• AI makes product creation easier for competitors too, increasing the risk of generic offerings.
• The presenter rates the model highly for low investment, but says substantial scale is harder for most solo sellers.

1. AI e-commerce

Operating playbook

1. Find a trending product that solves a tangible problem, preferably small enough to keep shipping costs manageable.
2. Use a product-research and fulfillment tool to identify trends and route orders to customers.
3. Generate a storefront with AI.
4. Create a mix of phone-shot and AI-generated content.
5. Post three to five videos per day on new TikTok and Instagram accounts; the presenter recommends delaying paid advertising until sales begin.
6. Test products and use audience response and sales data to identify what works.
7. Once a product succeeds, improve sourcing and build a real brand around it.

Metrics and example

• The presenter says AI can now produce a store in under five minutes, compared with several days when he started.
• He estimates a few hundred dollars can cover initial tools and a first product.
• At $40 per order, 25 orders per day equals $1,000 in daily sales.
• He estimates that after product, shipping, and advertising costs, 25–35% may remain: about $250–$350 per day, or approximately $90,000–$128,000 annually, if those assumptions hold.
• His example of a UV sterilization wand generated more than $200,000/month in store revenue at its peak. He also says profits had reached $75,000/month before a supplier dispute and the use of stolen ads contributed to losses. He presents this as a warning about fragile sourcing and marketing practices, not as a typical outcome.

Trade-offs and recommendation

• The model has more moving parts than the others: product selection, content, fulfillment, customer experience, and potentially advertising.
• The presenter recommends moving beyond a short-lived winning product: find reliable suppliers, develop or modify the product, and build a defensible brand. He argues that a branded e-commerce business can continue selling without the founder’s constant involvement and may eventually be sellable.

Practical takeaways

• Match the model to your strengths: Agency work favors selling and client service; digital products favor expertise and problem-solving; e-commerce requires product testing and operational execution.
• Validate demand before investing heavily: Use trials, content response, and early customer data rather than assuming a product will sell.
• Treat customer acquisition as central: The video’s examples rely on cold outreach or frequent short-form content; AI-generated products alone do not create demand.
• Plan for operational constraints: Agencies need delivery capacity and client retention; digital products need ongoing audience growth; e-commerce needs dependable suppliers and fulfillment.
• Separate revenue from profit: The $1,000/day examples are not equivalent. The agency figure is monthly client revenue, the digital-product figure is primarily sales math, and the e-commerce figure explicitly excludes costs before estimating a net margin.
• The video also promotes two purportedly free coaching programs for e-commerce and digital products, with paid software subscriptions still required. The presenter says software companies such as Wix or Base44 fund the programs.

Presenters and sources

• Presenter: Nathan Nazareth.
• Tools/platforms mentioned: Claude, Make UGC, Higgsfield, Nano Banana, Base44, AutoDS, TikTok, Instagram, Wix, and Facebook.