AI won't make you rich. (You'd be rich by now)
In a Nutshell
AI doesn't create outsized returns for most businesses because people apply it to low-priority work instead of addressing real constraints. Other forms of leverage—capital, media, teams, and especially good decision-making—still matter more than AI. The key test is whether AI implementation has actually increased revenue; if not, focus on prioritization and core offer quality rather than automation.
These notes were generated by AI and may contain inaccuracies.
The speaker argues against the idea that AI has canceled every other form of leverage. Leverage is defined as the difference between what you put in and what you get out. High leverage means putting little in and getting a lot out. While AI introduces high leverage, many other things also create leverage, and the belief that success requires only using AI is a misconception. Businesses and individuals are seeing token bills rise without corresponding revenue increases.
The speaker's own business experienced a recent revenue step increase unrelated to AI. The increase would have occurred even without AI. Conversations with wealthy, older friends revealed they personally do not use AI daily, though their teams do. This observation challenges the assumption that heavy AI usage is essential for success.
Capital retains tremendous leverage that AI has not erased. Media leverage, such as a video reaching thousands or millions, remains powerful. Teams and people still create leverage. Frontier AI labs themselves employ thousands of employees, indicating people remain necessary. These forms of leverage can be multiplied together.
Business owners who AI-max often use increased capacity to execute lower-priority tasks faster. Without AI, limited capacity forces better prioritization on needle-moving activities. Most observed AI use cases are not generating significantly more revenue. While AI ad creative and an AI sales rep provide efficiency, they are not typically the business constraint.
- Shifting from one-on-one to one-to-many or one-to-small-group delivery creates immediate leverage (e.g., one-to-10 equals 10x).
- Moving from scheduled to asynchronous client appointments increases capacity without adding headcount.
- Improving the sales motion to raise close rates allows fewer salespeople to handle the same volume by educating prospects better, resulting in shorter, higher-quality conversations.
None of these require AI or technical expertise.
The highest-leverage activity, exceeding AI, is making good decisions. Deciding not to pursue unimportant work frees team capacity more effectively than automating low-priority tasks. AI is likened to access to many third-world virtual assistants—helpful but not transformative on its own. Businesses still compete on offer quality, brand strength, and execution fundamentals. A poor offer cannot be rescued by AI on the backend.
AI increases leverage but does not eliminate other forms. Many people apply AI to low-value activities and continue making poor resource-allocation decisions, resulting in no revenue increase. The key question is: "Has implementing AI in my business made me more money?" If not, return to identifying the true business constraint. The ability to focus limited resources on the single highest-impact activity remains more valuable than AI itself. AI is a tool, not the answer.
The speaker offers a free scaling roadmap based on lessons from scaling multiple businesses past $10M and $100M revenue milestones.
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