Another AI Goldrush Just Started (but nobody is talking about it yet)

Summary

The video argues that the more durable AI opportunity may not be building or selling AI tools, but using AI to improve established services that businesses already pay for. The presenter describes this as an AI-based service business: people handle high-value work while AI assists with research, customer acquisition, and routine operations.

Frameworks and Playbooks

Build on an Existing Service Market

Choose a service businesses already buy, then use AI to deliver it faster or more cost-effectively instead of trying to invent a complex AI product.

Use the “Cash Ladder” to Choose Services

• Desirable services: Tasks such as organizing email or scheduling social posts. They can be useful, but their effect on revenue may be difficult to demonstrate.
• Operational services: Examples include data entry, virtual assistance, customer support, and website support. These fit into business operations, though their impact on savings or revenue may be limited.
• ROI services: Services with a clear connection to revenue or return on investment. The presenter recommends prioritizing these because their value is easier to demonstrate and sell.

Niche Down

Narrow a service to a particular market or customer type to reduce direct competition and build relevant expertise. The presenter says his influencer-marketing agency focused on gaming and technology, an area he personally understood.

Lead with a Sample, Not a Generic Pitch

Research a prospect and provide a customized example of the work, such as five LinkedIn posts tailored to their offer. Include a brief explanation of how the sample could help them.

Follow Up Persistently

Continue outreach with useful resources, additional samples, or an offer to conduct an audit or book a call rather than stopping after a few messages.

Automate Around the Valuable Work

Under the “$1,000 task rule,” avoid automating a task you would pay $1,000 to have done well. Keep critical, high-value work under human control and automate lower-value, repetitive steps.

Map the Service Workflow

List each step from delivery through follow-up. Then use AI to identify which tasks require human judgment and which can be automated.

Customer Acquisition and Operations

The presenter describes using Claude and a browser extension to assist with prospect research and outreach. The proposed workflow is:

1. Give AI context about the service and guidelines for creating samples or audits.
2. Review prospect profiles and prepare customized outreach.
3. Use accepted connection requests to identify prospects for tailored samples.
4. Schedule recurring routines so research and preparation happen consistently.

The presenter suggests running one automation at 8:00 a.m. and another at 10:00 a.m. The intended benefit is to handle prospecting early and then focus on client delivery. The video presents this approach as a way to reach hundreds of potential customers in days, but provides no measured conversion rate or other performance data.

Examples and Claims

• The presenter says manual creator research, contact gathering, and writing collaboration pitches took days and led to lost deals because competitors responded sooner. He says AI reduced some of this work to less than a day, helping him close more deals and serve more clients.
• He contrasts selling an AI tool with applying AI inside an existing business, citing Jasper. According to the video, Jasper raised $125 million at a $1.5 billion valuation, and OpenAI released ChatGPT with free access to similar text-generation capabilities 43 days later.
• The presenter says his business made $1 million in the previous month and cites work with brands including Netflix and Microsoft. These are presenter claims; the video does not provide supporting financial detail.
• The video identifies landing a first paying client as the initial proof point. After that, the main challenge is growing beyond five clients while maintaining service quality.

Key Metrics and Targets

Figure Context $1 million Presenter’s claimed business revenue in the previous month $125 million / $1.5 billion Jasper funding and valuation figures cited in the video 43 days Time between Jasper’s valuation milestone and ChatGPT’s release, according to the presenter $1,000 Suggested threshold in the “$1,000 task rule” for work that should remain human-led 5 tailored posts Example of a free sample to send a prospect 8:00 a.m. and 10:00 a.m. Suggested daily automation times More than five clients Growth stage at which maintaining quality becomes a key challenge, according to the presenter

Presenter/source: Suhit Amin