Skip to main content

Why Making Money Matters

Applied AI Society talks about making money a lot. This is intentional. Here is why.

Currency Is the Best Signal We Have​

Until humanity invents something better than currency for determining what is valuable, money remains the clearest feedback mechanism for whether you are providing real value to real people.

When someone pays you for your applied AI work, that is not just a transaction. It is a signal. It means you solved a problem they cared enough about to exchange resources for. It means your skills are useful, not just interesting. It means the market is telling you: keep going in this direction.

We have no shyness about this. We think it is virtuous to make money. Specifically: it is virtuous to grow businesses that are doing good. A peaceful, non-coercive exchange of money between two parties who both benefit is one of the clearest signs that value was created. If your margins are improving, if more people want to work with you, if the deals keep coming, those are all indicators that you are applying AI in a genuinely useful way.

The Danger of Ungrounded Curiosity​

Play and exploration matter. Breakthroughs come from tinkering. Nobody is arguing against curiosity.

But curiosity without grounding is a trap. You can spend months building tools that have no clear utility. You can optimize workflows nobody asked for. You can learn every new framework and model and never apply any of them to a problem someone would pay to have solved.

The question you should keep asking yourself: are the skills I am developing leading to people being excited to do deals with me? To pay me for my contributions to their businesses?

If the answer is yes, your curiosity is grounded. You are exploring in a direction that the market is confirming. Keep going.

If the answer is no, that does not mean stop exploring. It means redirect. Use the market as a compass. Let the signal of "someone will pay for this" guide where your curiosity goes next.

Why This Is the Focus​

Applied AI Society exists to shorten the time between someone learning about applied AI and their first money-making opportunity. That is the North Star.

We focus on this because making money doing applied AI work is the proof that you have crossed from theory to practice. It is proof that you are not just consuming information about AI but creating value with it. It is the strongest evidence that your skills are developing in a direction that matters.

This does not mean money is the only thing that matters. It means money is the most reliable early signal that you are on the right track. Once you have that signal, you can make all kinds of decisions about what to do with the income, the relationships, and the reputation you are building. But getting to that first signal is the critical step.

The Alternative​

The alternative is what most people do: read newsletters, attend conferences, build side projects nobody uses, and call it "staying current." That is not applied AI. That is spectating. (See: Five Levels of Value)

We would rather you build something useful, get paid for it, learn from the experience, and compound from there. That is the path. Everything else is preparation for the path, and preparation has diminishing returns if it never converts to action.

See Also​