A Beginner's Guide to AI
Human vs. Machine or: Why still play Chess if AI is Better at it?
05 May 2026
Chapter 1: Why do we still create when AI can do it better?
AI can beat us at chess, generate beautiful images, write polished texts and produce more content before breakfast than a human team can make in a week. So why do we still play, photograph, write, create and learn? Because the point was never only the perfect move, the perfect image or the perfect output. The point is what happens to us while we do it.
We notice, we struggle, we improve, we remember, we connect. And occasionally we make a complete mess and learn something useful from it. In the age of AI, the machine may help us create faster, but humans still decide what matters. Today's episode is brought to you by Nebius Token Factory, making advanced AI simple and accessible for everyone.
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Today we are going to talk about a question that sounds almost insulting at first. If artificial intelligence can do so many things faster, cheaper and sometimes better than we can, why do we still bother doing things ourselves? Why play chess when a machine can crush us before we have even finished pretending to understand the Sicilian defense?
Why take photos when AI can generate a golden sunset, a perfect portrait and a dramatic mountain landscape without anyone needing to leave the sofa, pack a lens or get rained on in Wales? Why write, paint, learn, practice, cook, compose, compete or create when a machine can produce something polished in seconds? It is a fair question. Slightly rude, but fair.
And it is not a question for philosophers sitting in leather chairs stroking their chins while looking concerned. It is a question for marketers, creators, business owners, teachers, designers, photographers, writers, and basically anyone who has ever looked at an AI-generated result and thought, well, lovely, there goes another piece of my identity.
Because the age of AI is not only about productivity. It is not only about saving time, automating boring tasks, or creating content at industrial speed. It also forces us to ask what human effort is actually for. And that is where things get interesting. Let's begin with chess. For decades now, computers have been better than humans at chess. Not a little better.
Not your annoying cousin who once went to a chess club better. We are talking brutally, calmly, mathematically better. A strong chess engine can look at positions, calculate possibilities, and evaluate moves with a level of precision that makes even grandmasters pay attention. So, did humans stop playing chess? No.
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Chapter 2: How does chess illustrate the human experience in AI?
It can remove distractions, sharpen details, improve lighting and perform useful digital wizardry. but it did not stand there. It did not wait for the light. It did not know why that blurry holiday picture matters more to you than a perfect generated beach. It did not carry the memory. So again, AI can help with the output, but the human meaning lives in the process.
This gives us an important distinction, output value and process value. Output value is the value of the finished thing, the image, the text, the campaign, the chess move, the presentation. AI is very good at output value. It can draft, generate, summarize, compare, polish, and produce variations very quickly. Process value is what happens while humans do the thing.
When you play chess, you become a better thinker. When you take photos, you become a better observer. When you write, you clarify your thoughts. When you cook, you learn care and taste. When you build a marketing campaign, you learn how people behave, what they want, what they fear, and what makes them ignore you, with the efficiency of a cat ignoring its own name.
AI can support the process, but if it removes the human from the process completely, something important may disappear. Now, let's be fair. Some things should absolutely be automated. Nobody needs to manually rename 800 files to become a deeper person. That is not growth. That is a cry for help. Nobody needs to spend three hours cleaning messy meeting notes if AI can do it properly in 30 seconds.
That is not creativity. That is admin soup. So yes, automate the boring bits. But not every difficult bit is a boring bit. Some difficult bits teach us. Some help us develop judgment. Some build taste. Some connect us to other people. Some make us better at what we do. This is the danger for beginners. If a chess player only copies the engine's best move, they do not learn chess.
They learn obedience. If a photographer lets AI make every visual decision, they may stop developing their eye. If a marketer accepts every AI generated idea without judgment, they become faster at producing generic mush. And generic mush is still mush, even if it arrives instantly and wears a nice headline. That is why judgment becomes more important in the age of AI.
When machines can generate endless options, the valuable skill is choosing what is good, what is true, what is useful, what is ethical, and what actually deserves to exist. AI makes production easier. Selection becomes more important. This matters hugely for marketing. Because marketing is not just content production, it is understanding people.
AI can help you write copy, but you must know whether the message fits the audience. AI can suggest campaign ideas, but you must know which idea is relevant. AI can analyze customer data, but you must understand the human emotion behind the numbers. AI can create 20 headlines, but you must know which one sounds alive and which one sounds like it was grown in a beige corporate laboratory.
This is taste. Taste is the ability to say, this works, this knocks, this does not, this is clear, this is fake, this is clever but cold, this is simple but strong. And taste becomes more valuable when production becomes cheap. Think about digital photography. Once everyone could take endless photos, we did not suddenly get endless masterpieces. We got more images. Many were useful.
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Chapter 3: What does photography teach us about human connection?
This is especially important because AI can generate persuasive messages quickly, and persuasion has ethics. Just because you can influence people does not mean you should influence them in that way. That decision is human. Now this also touches identity. A photographer may ask, if AI can create beautiful images, what am I? A writer may ask, if AI can write fluently, what am I?
A marketer may ask, if AI can generate campaigns, what am I? These are real questions. Work and creativity are tied to who we are, but the answer is not to deny AI's power. That would be silly. The better answer is to clarify the human role. If AI can make images, the human may become the visual director, curator, storyteller, or editor.
If AI can write drafts, the human becomes the thinker, voice shaper, strategist, and judge. If AI can generate campaign ideas, the human becomes the problem framer, customer interpreter, and decision maker. The role changes. It does not automatically vanish. Some tasks will disappear. Some jobs will change. Some basic production skills will become less valuable on their own. That is real.
But human differentiation becomes more important. If everyone has access to similar tools, the tool itself is not the advantage. The advantage is how you use it. Your advantage is your context, your taste, your relationship with the audience, your ability to ask better questions, your ability to spot nonsense, your ability to care about the outcome. So the practical lesson is this.
Do not only learn tools. Tools change. Buttons move. Platforms redesign themselves just when you finally know where everything is, because apparently software enjoys psychological warfare. Learn principles. Learn how to frame a problem. Learn how to give context. Learn how to evaluate output. Learn how to ask follow-up questions. Learn how to verify facts. Learn how to protect customer trust.
Learn how to develop your point of view. These skills survive tool changes. So why do people still play chess and take photos in the age of AI? Because people are not machines trying to maximize output. We are meaning-making creatures. We do things because they shape us, because they connect us, because they help us remember, learn, express, and grow. A chess game can be a lesson in patience.
A photograph can be a memory made visible. A marketing campaign can be a bridge between a real human need and a useful product. AI can assist all three. But the human meaning disappears only if we willingly remove ourselves from the process. That is the real danger. Not that AI becomes good. The danger is that we become passive. Passive creators. Passive thinkers. Passive marketers.
People who accept the first output because it is quick. People who confuse speed with quality. People who let the machine decide what matters, because deciding is hard. And yes, deciding is hard. That is why it's valuable. So when you use AI, do not ask only, how can this save me time? Ask, how can this help me think better? Ask, how can this help me see more clearly? Ask,
How can this help me make something more meaningful? And ask one especially useful question. What should I still do myself? Because doing it changes me. Maybe AI analyses the chess game, but you still play. Maybe AI edits the photo, but you still take the walk and notice the light. Maybe AI drafts the campaign, but you still talk to customers and choose the message. That is the balance.
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Chapter 4: How can marketers maintain authenticity with AI?
Perfect everything. Suspiciously perfect. The kind of perfection that makes you wonder whether everyone at the party is secretly a wax figure. But the slightly blurry photo your uncle took while everyone was singing, that may be the one people keep. Why? Because it happened. It carries a memory. It carries a moment. It says we were there.
The image is not valuable only because of its technical quality. It is valuable because of the human story attached to it. Now let's make the marketing version. Imagine a small bakery wants to promote its cakes. AI can instantly generate polished cake photos, write product descriptions, create slogans, and produce social posts. That is useful. Very useful.
The bakery owner can save time and look more professional. But if every bakery uses the same AI style, everything starts to feel identical. Every cake becomes decadent, mouth-watering, crafted with passion, and perfect for every occasion. After a while, it all sounds like the cake has hired a public relations consultant and lost its soul. The human layer makes the difference.
The bakery owner can say, this chocolate cake is the one my grandmother made every Sunday, except she used to shout at the oven in Polish. That is human. Or, this lemon cake exists because our first version was so sour it nearly started a family argument. That is human. Or we make this birthday cake slightly taller than necessary because birthdays should be a bit ridiculous. That is human.
AI can help shape the words, improve the photo, and create ideas. But the memory, the humor, the taste, the story, and the emotional truth come from people. So the cake example teaches us this. AI can help bake faster. AI can help decorate better. AI can even suggest flavors. But humans still decide why the cake matters, who it is for, and what story it carries.
And if nobody cares, then even the most perfect cake is just sugar wearing a tuxedo. Subscribe to the A Beginner's Guide to AI newsletter at beginnersguide.nl and get practical tips, simple explanations, and useful tricks for working with AI without losing your lovely human brain in the process.
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