Don't Sell AI Agents, Sell AI Infrastructures Instead (crazy opportunity)
By Serge Gatari
Key Concepts:
- AI Infrastructure vs. Single-Use AI Workflows
- AI Growth Infrastructure
- Niche Specialization
- Build and Release Model
- Process Selling VSL (Video Sales Letter)
- Speed to Lead
- Client Acquisition Strategy
- First-Mover Advantage
1. The Problem with Single-Use AI Workflows
- Limited Impact: Single AI agents or automations (e.g., content creation, personalized cold outreach) are insufficient for significant business growth (e.g., from $100k to $1M or $1M to $10M).
- Commoditization: The low barrier to entry for single-use AI solutions (e.g., automating copywriting) leads to market saturation and price competition.
- Perception as a Commodity: Selling a single AI workflow positions you as easily replaceable.
- Example: A client implementing an AI dialer charged $500-$1,000 per implementation. By shifting to an entire AI growth infrastructure, they secured a $12,000 upfront payment from a real estate investor in a 22-minute sales call.
2. The AI Infrastructure Opportunity
- Comprehensive Solutions: The market demands a set of AI mechanisms that address all obstacles preventing businesses from achieving their growth goals.
- AI Growth Infrastructure: Focus on building and releasing entire AI infrastructures, especially AI growth infrastructures, for better opportunities in 2025.
3. Risks of Selling AI
- Low Barrier to Entry: Anyone can copy and sell the same AI tools quickly (e.g., voice agents for real estate agents).
- Competition from LLMs: Large Language Models (LLMs) like those from Microsoft will likely offer AI agents for broad functions like marketing, sales, customer support, and coding, potentially at low or no cost.
- Need for Niche Specialization: To avoid competition, focus on specific niches and the gaps you bridge for them. LLMs won't target niche markets like med spas or real estate agencies.
4. The Build and Release Model
- Niche-First Approach: Instead of focusing on AI solutions, identify a market niche and the obstacles preventing its scaling.
- Gap-Focused Solutions: Prioritize bridging the gap for businesses using AI, regardless of the specific AI solution used.
- Build Once, Release for Value: Build the AI infrastructure once and release it to the business for long-term value, rather than offering a traditional agency retainer.
- Example: A client targeting dental clinics scaled to $440,000 a week by addressing lead generation, lead nurturing, appointment booking, and closing. They charged $7.5k upfront, positioning it as a one-time build and release, even though some solutions cost only $49/month.
5. Client Acquisition Strategy
- Step 1: Niche Selection: Choose a niche with foundationally strong and sustainable businesses that have product-market fit and capital to invest.
- Step 2: Gap Identification: Determine the specific problem or gap the niche faces (e.g., appointment issues, lead nurturing).
- Step 3: Process Selling VSL: Create a video sales letter (VSL) that demonstrates the gap in their business.
- Step 4: Traffic Generation: Drive traffic to the VSL landing page using cost-effective methods like Meta ads. Example: One client saw cost per lead drop from $100 to $7, and cost per booked call drop from $150 to $20.
- Step 5: Speed to Lead: Contact leads within 5 minutes of them expressing interest.
- Step 6: One-Time Payments: Sell the AI infrastructure for a one-time payment (e.g., $7,000-$15,000) rather than a monthly retainer. This increases client commitment and LTV. After initial success, offer monthly retainers for ongoing issues.
6. The Urgency of Action
- First-Mover Advantage: Early adopters capture over 90% of profits in any platform shift.
- Time Sensitivity: Delaying action will result in lower profits due to increased competition.
- Supply and Demand: When supply exceeds demand, service providers struggle.
7. Upcoming Masterclass (March 13th)
- A live masterclass will cover building AI offers, market selection, client acquisition funnels, team building, fulfillment, and AI tool selection.
8. Notable Quotes
- "You want to sell an entire AI infrastructure because based on the data that we have from launching AI offers every single month that's where the real money is."
- "...building it once and releasing it into the business so they can experience value over time which makes them open to giving us a lot of money upfront."
- "The first movers end up earning over 90% of all the profits on any platform shift."
9. Technical Terms
- AI Agent: An autonomous AI program that can perform specific tasks.
- AI Automation: The use of AI to automate repetitive tasks.
- AI Infrastructure: A comprehensive set of AI mechanisms working together.
- LLM (Large Language Model): A type of AI model trained on vast amounts of text data.
- VSL (Video Sales Letter): A video designed to persuade viewers to purchase a product or service.
- LTV (Lifetime Value): The total revenue a business expects to generate from a single customer.
10. Synthesis/Conclusion
To maximize profitability in the AI market in 2025, avoid single-use AI solutions and instead focus on building and releasing comprehensive AI growth infrastructures tailored to specific niche markets. Prioritize identifying the gaps preventing businesses from scaling and use AI to bridge those gaps. Act quickly to capitalize on the first-mover advantage and secure a significant share of the market.
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