Summary of Key Points
The core argument of this article is that the most significant change in the AI era is that for the first time, ordinary people can access a variety of professional capabilities (such as design, programming, research, etc.) that were previously only available to company teams, at an extremely low cost. This has greatly reduced the organizational costs associated with bringing ideas to reality. While AI will not turn everyone into geniuses, it particularly rewards those who are truly motivated and willing to take action, as it enhances their ability to act but does not create motivation itself. Additionally, while AI makes it cheaper to quickly generate answers, the ability to make informed decisions and choose the right direction has become more valuable. Although everyone can use AI, the differences in how it is used can lead to significant outcomes, with individuals even being able to independently complete complex tasks on their own, much like a small company.
Detailed Analysis
1. The greatest power of AI is not “working faster,” but “being able to work without assembling a team”
In the past, to undertake a slightly complex task, such as developing a small product or writing a series of content, you would need to gather designers, programmers, copywriters, and researchers. Recruiting, managing, and paying them was very costly. Now, AI can handle these steps for you: don’t know how to design? AI can create visual drafts; don’t know how to code? AI can generate basic code; need to research information? AI can quickly summarize the key points. For example, a product manager can use AI to build a prototype on their own, and an independent developer can complete work that used to require the collaboration of 3-5 people. This does not mean that AI replaces professional roles, but rather it changes what is “essential” from “having to have certain people” to “being able to use AI first.” You don’t need to hire staff; you can use AI to create a preliminary version and then seek experts when more specialized expertise is needed. This lowers the barrier to starting something to a level that individuals can handle.
2. “Smart answers” have become cheaper, but “good judgment” is what truly matters
AI can quickly produce well-structured reports, code, and plans, which seem intelligent. However, what is really valuable has changed:
- Do you know the problem you need to solve? (For example, does the user really need this product?)
- Which information is credible? (Content generated by AI may be incorrect.)
- When should you stop? (Adding too many features to a product can make it less usable.)
- Should you take a risk? (Is this opportunity worth investing in?)
Because AI speeds up execution, if the direction is wrong, the consequences can be more severe. In the past, making one mistake in a day meant one mistake; now, ten mistakes can be made in the same amount of time. Therefore, in the AI era, choosing the right direction is more important than knowing how to do things.
3. AI favors “action takers” because it can only amplify capabilities, not provide motivation
AI can help you come up with 100 ideas, generate product prototypes, and analyze market data, but it cannot write articles for two years or help you face dozens of failed tests or take on the risks associated with making decisions. The difference between those who actually bring ideas to fruition and those who simply think they have good ideas lies in their willingness to act. In the past, action takers might be hindered by their skills (e.g., not knowing how to design); now, AI solves these problems for them. For example, while both people use AI, one uses it daily to write articles and optimize products, while the other only asks questions occasionally. The difference doesn’t lie in whether they have AI or not, but in what they use AI for.
4. The more equal the tools, the greater the gap between individuals
Almost everyone can now access AI tools, but there are huge differences in how they are used:
- Some use AI as a “faster search tool” to look up information.
- Some use it as an assistant to revise drafts and research while writing articles.
- Some integrate AI into their entire workflow, using it for market research, generating product plans, building prototypes, and analyzing user feedback.
The more widespread the tools become, the more pronounced the differences in people’s goals, judgments, and methods. For example, two people who both use AI might have different outcomes: one has a clear goal (to create a tool to help the elderly) and uses AI step by step to achieve it, while the other lacks a goal and merely uses AI to generate content. This is the “Matthew Effect” at work—those who know how to use AI become stronger, and those who don’t fall further behind.
5. Individuals can now act like “mini-companies,” and small ideas have a chance of succeeding
In the past, to gain influence, you needed to build a team. Now, an individual can use AI to possess the capabilities of a small organization: conducting market research, writing copywriting, building prototypes, and analyzing data without hiring staff. Many ideas that were previously unlikely to be pursued by companies (e.g., tools for niche hobbies) can now be tried out with very low failure costs. This allows more people who are not good at fundraising or managing large teams but understand a particular issue to turn their ideas into reality. For example, someone who loves pets can use AI to create a pet nutrition advice tool and launch it on their own without seeking investment.
Final Conclusion
The AI era may not be the most comfortable one, but it is the most friendly to ordinary people who want to take action. Because you no longer need to assemble a team, you can bring your ideas to reality at a low cost. Ultimately, what determines the outcome is whether you are willing to do something and how you go about doing it.