Philosophy eats Artificial Intelligence for dinner!

When Marc Andreessen came out in 2011 and said, “Software is eating the world,” those who thought software would swallow everything were thrilled. But Nvidia CEO Jensen Huang showed in 2017 that it doesn't work that way: “Software is eating the world, but AI is going to eat software.”

Today, everyone is talking about how AI is inevitable. But no one is asking this question: What will eat AI?

The answer is simple: Philosophy. Those who do not understand this will be nothing more than extras in a world governed by AI.

You Are Still Debating “Ethical AI,” Yet the Real Issue Is Philosophical Education

You are taking the easy way out by calling it “ethical AI”! As much as the ethics of AI, what it thinks, how it makes decisions, and what it accepts as true should be discussed. An AI without a philosophical framework is like an uneducated human: a puppet prone to being misled and easily manipulated.

This is why the Google Gemini AI scandal erupted. Google trapped its AI between historical accuracy and diversity, creating a model that altered historical realities. It depicted Vikings as Asian women and chose American Founding Fathers from unrelated ethnic groups. The reason for this was not bad code, but flawed philosophical training.

The problem is that most of you still think this was an algorithm error. It wasn't. Google chose the wrong philosophical priorities, and the AI acted accordingly.

For companies to ignore the philosophical infrastructure while training AI is like a captain setting sail into the ocean without a compass. If you don't have a route, it doesn't matter how fast you are going.

Did You Think You Could Measure Loyalty with KPIs?

Let's give you a familiar example. Customer loyalty. Most companies try to measure this with KPIs. How many times was a purchase made? How much was spent? But I have bad news for you: These do not measure loyalty; they only show habits.

Amazon and Starbucks understood this years ago. Jeff Bezos designed Amazon Prime not to measure customer loyalty, but to create it. Amazon showed loyalty to its customers, and its customers became attached to it.

But most of you are still teaching AI the wrong things with the wrong data. Instead of measuring loyalty, you are fooling yourselves with metrics that simulate loyalty. This is called mathematical dogmatism, and if you train AI this way, the result will be nothing more than a statistical illusion.

You Don't Even Know What AI Will Work For

Let's get to the critical point: AI is not just a calculator.

The AI systems you use today only offer suggestions by looking at past data. But a philosophically trained AI can set goals, make decisions, and provide strategic guidance.

Here is an example:

Traditional AI:

“According to historical data, the best supply chain strategy is to increase safety stock.”

Philosophically trained AI:

“I have analyzed the current disruption and have three suggestions:

1. Strengthen supplier relationships

2. Optimize supply chain processes

3. Reduce costs through strategic inventory management

I have simulated these suggestions; would you like to see them?”

Do you see the difference? One is a calculation machine drowning in data; the other is a system that derives meaning and makes decisions.

Most Companies Are Training AI Wrong, Then Wondering Why It Doesn't Work

Now let me give you the bad news: Today, the vast majority of companies are building their AI on incorrect philosophical assumptions.

Because if you do not add teleology (purpose), epistemology (knowledge), and ontology (reality) to your system, your AI will only make faster but stupider decisions.

So, before asking, “Why is the AI giving wrong suggestions?” ask yourself this question: “Did we teach it how to think correctly?”

If you do not train AI in accordance with your own business philosophy, it will just be a machine that presents you with more data. But if you build it on the right philosophical foundations, it becomes a truly intelligent system that will create new opportunities for you.

Conclusion: AI Is Not Intelligent; It Works Only As Well As You Train It to Be

In summary, AI without philosophical training is just an advanced calculator.

As Google experienced, wrong philosophical priorities push AI to make irrelevant, incorrect, and even dangerous decisions.

If you want to exist in a world governed by AI in the future, you must create the philosophical infrastructure that will teach it what to think and how to think.

Philosophy is eating AI. But those who understand this will write the future. The others? They will just be extras in a world governed by AI.