Technology does not ask for permission before changing the world. It simply arrives, disrupts established habits, challenges comfortable professions, and exposes those who mistake yesterday's success for tomorrow's security.
The first time I sat in an Artificial Intelligence (AI) class was in 2013. It was part of my Bachelor's degree in Computer Science. At the time, our understanding of AI was largely built around one fundamental idea: making human work easier. We discussed intelligent systems, automation, and the possibility of machines performing tasks that would otherwise require human effort. But there was something we never seriously contemplated: eliminating the human being from the equation.
Even then, the human being remained at the centre of artificial intelligence. Someone had to design the system, provide instructions, interpret the results, and decide what needed to be done. AI was a tool, not an independent replacement for human existence. It was supposed to extend human capabilities, not render human beings irrelevant. Thirteen years later, I still hold that fundamental position.
AI has become more sophisticated, more accessible, and considerably more powerful. It can write, analyse, calculate, compose, generate images, produce videos, and perform tasks that once demanded hours of human labour. Yet, behind the impressive demonstrations, there is still a human being defining objectives, providing direction, setting boundaries, evaluating outcomes, and deciding whether the final product is useful.
A machine can generate a thousand paragraphs. But who decides whether those paragraphs communicate the intended message? Who determines the audience? Who provides the experience, the philosophy, the convictions, and the moral judgment behind the work?
The human being has not disappeared. The tools have simply become more powerful. And that brings me to the second time I found myself in an AI class.
This time, it was not a computer science class. It was a business class. The objective was no longer to understand the technical architecture of artificial intelligence or to examine how algorithms function. Instead, we were learning how to communicate with AI. We were learning how to write prompts.
That experience introduced me to another important dimension of artificial intelligence. The issue was not necessarily whether someone understood how AI was built. The issue was whether that person knew what they wanted AI to accomplish. In other words, the person who could communicate clearly with AI had an advantage over the person who simply knew that AI existed. Think about it.
You can give two people access to exactly the same AI platform. One will ask it to write an article about leadership and receive a predictable collection of ordinary paragraphs. The other will explain the intended audience, the argument, the desired tone, the personal experiences to incorporate, the depth of analysis, the examples to use, and the conclusion to pursue. The results will be dramatically different. The difference is not necessarily the technology. It is the person operating it.
A person who does not know what they want cannot expect artificial intelligence to magically manufacture a clear vision on their behalf. AI may produce something impressive-looking, but impressive-looking is not the same as meaningful. It may produce thousands of words without communicating anything worth remembering.
This is why I find some of the current hostility towards AI among authors and content creators rather interesting. Some authors are already declaring war on AI. Some content creators regard anyone using it as a fraud. Others have adopted an almost religious conviction that genuine creativity must remain untouched by artificial intelligence. I find this position dangerous.
Not because every concern about AI is misplaced. There are legitimate questions about intellectual property, originality, attribution, misinformation, employment, and the possibility of flooding the internet with low-quality content. These concerns deserve serious attention. But rejecting an entire technology because some people misuse it is not wisdom. It is surrender disguised as principle. And when I listen to some of these arguments, one name keeps coming to mind: Kodak.
Kodak: A warning to people who think the world owes them continuity
Here is the irony: Kodak actually developed an early digital camera prototype in 1975. The technology was not completely foreign to the company. It had the technical knowledge and intellectual resources to understand what was coming.
However, embracing digital photography threatened the established film business that had made Kodak successful. The company struggled to navigate the transition, and its eventual bankruptcy filing in 2012 became one of the most famous corporate cautionary tales about technological disruption.
The lesson is not that Kodak never saw the future. It is that recognising the future and adapting your business to it are two very different things. And this is precisely where I see a dangerous similarity with some authors and content creators today.
An author may have spent twenty years developing a writing career. A journalist may have spent decades mastering the art of storytelling. A content creator may have built an audience through painstaking work. Those achievements deserve respect. But the world does not owe anyone a permanent market for the methods through which they achieved success.
The fact that you wrote your first book without AI does not mean that every future book must be written without AI. The fact that you spent ten hours researching an article does not mean that someone using AI to accelerate research is automatically less creative. The fact that you learned to edit photographs manually does not make someone using modern editing tools an inferior photographer.
Technology does not become illegitimate simply because it reduces the amount of effort required to produce something. If that were the standard, we would have to reject computers, word processors, digital cameras, spellcheckers, calculators, search engines, and even the printing press.
Imagine an author in the 1980s declaring that using a computer to write a book was cheating because real authors used typewriters. Imagine a photographer insisting that digital cameras were destroying the dignity of photography because real photographers used film. Today, such arguments would sound ridiculous. Yet some of the arguments being made against AI are built on exactly the same philosophy: that the value of creative work must be measured partly by how much manual effort went into producing it. That is a dangerous way of thinking.
The reader does not buy a book because the author suffered while writing it. The reader buys a book because it communicates something valuable. The audience does not consume content because the creator spent an exhausting afternoon producing it. They consume it because it informs, entertains, challenges, or inspires them. Effort matters, but effort alone is not the product.
Imagine an author in the 1980s declaring that using a computer to write a book was cheating because real authors used typewriters. Imagine a photographer insisting that digital cameras were destroying the dignity of photography because real photographers used film. Today, such arguments would sound ridiculous. Yet some of the arguments being made against AI are built on exactly the same philosophy: that the value of creative work must be measured partly by how much manual effort went into producing it. That is a dangerous way of thinking.
The reader does not buy a book because the author suffered while writing it. The reader buys a book because it communicates something valuable. The audience does not consume content because the creator spent an exhausting afternoon producing it. They consume it because it informs, entertains, challenges, or inspires them. Effort matters, but effort alone is not the product.
Let me provoke another uncomfortable conversation. Not everyone who writes is necessarily a good writer. Not everyone who publishes an article has something meaningful to say. Not everyone who produces a thousand social media posts is a creative thinker.
For years, the ability to write reasonably well gave people a competitive advantage. Some individuals built careers simply because they could organise words better than the average person. AI is beginning to challenge that advantage.
Today, someone with limited writing skills can generate a grammatically correct article within seconds. Someone who has never designed a poster can produce a professional-looking visual. Someone who has never edited a video can generate material that would previously have required specialised skills. This development should worry people who have built their entire professional identity around the mechanical ability to produce content. But it should excite those who have something meaningful to communicate. Why? Because AI is lowering the barriers to production while making the quality of human thinking, judgment, originality, and direction increasingly important.
When everybody can generate words, the question becomes: Who has something worth saying? When everybody can produce images, the question becomes: Who has an original visual idea? When everybody can generate a book, the question becomes: Who has a compelling story, a distinctive voice, and something worth reading?
AI may make it easier to produce content. It does not automatically make the content important. A mediocre thinker using AI can produce mediocrity at an astonishing speed. A person without original ideas can generate thousands of pages without producing one memorable thought. The technology has not eliminated the need for creativity. It has exposed the difference between creativity and production.
I believe authors and content creators need to change their approach. Instead of spending all their energy debating whether AI should be used, they should be learning how to use it intelligently. They should be learning how to write powerful prompts.
And I am not talking about asking AI to write an article and then copying whatever appears on the screen. That is not creativity. That is outsourcing one's thinking without taking responsibility for the outcome. I am talking about understanding how to communicate an idea so precisely that AI becomes an extension of one's creative process.
An author should be able to approach AI with a clear vision of the article they want to write. They should explain the argument, the intended audience, the experiences that inspired the article, the tone they want, and the conclusions they intend to draw. They should know when to reject a paragraph, when to demand deeper analysis, when to introduce a personal experience, and when to insist that an argument be rewritten. They should be able to tell AI what is missing, what is exaggerated, what is inaccurate, and what does not sound like their voice. That is the difference between someone who uses AI as a substitute for thinking and someone who uses AI to amplify thinking.
Consider a simple example. An author who has lived through a difficult experience may have a powerful story to tell. But perhaps they struggle to organise the events, develop the argument, or communicate the lesson in a compelling manner. AI can help structure the story, identify gaps, improve transitions, suggest stronger illustrations, and refine the language. But the experience belongs to the author. The memories belong to the author. The convictions belong to the author. AI is helping the author communicate what already exists in the author's mind. Why should that be considered a threat? If anything, it is an opportunity.
Here is perhaps the most uncomfortable part of this discussion. While some authors are busy condemning AI, other authors are learning it. While some content creators are busy debating whether AI-generated images are legitimate, others are using AI to develop concepts, illustrations, marketing materials, and entire creative campaigns.
While one person spends three days completing a task, another may use AI to complete the initial work in three hours and spend the remaining time improving quality, checking accuracy, and developing new ideas. You may dislike that reality, but disliking it will not reverse it.
Your competition does not need your permission to adopt new technology. The market will not wait for everyone to agree. Readers will not suspend their expectations because an author feels uncomfortable with AI. Clients will not necessarily pay more simply because a creator insists on doing everything manually. This does not mean that speed should replace quality. It means that people who can combine speed, quality, judgment, and originality will have an advantage.
The author who understands AI may have more time to research, write, revise, publish, and engage readers. The content creator who understands AI may explore ideas that would previously have been too expensive or technically difficult to execute.
Meanwhile, the person who refuses to learn may find themselves defending a professional territory that is steadily changing. That is how technological obsolescence begins. Not necessarily with a dramatic announcement, but with a gradual loss of relevance. And by the time some people realise what has happened, the market may already have moved on.
I must, however, make one distinction. Embracing AI does not mean surrendering your intelligence to it. There is a difference between using a calculator and allowing a calculator to decide what you should calculate. There is a difference between using a word processor and allowing it to determine what you should write. AI should not become an excuse for intellectual laziness.
Authors must retain responsibility for their arguments, facts, sources, originality, and final work. They must understand that AI can confidently produce inaccurate information. They must not confuse fluent language with sound reasoning. They must also respect copyright, disclose AI involvement where required, and avoid passing off other people's work as their own. The objective is not to become dependent on AI. The objective is to become more capable because AI is available.
In fact, I would argue that the best AI users will not necessarily be those who know the most sophisticated prompts. They will be those who possess the clearest thinking. A powerful prompt is an expression of a powerful understanding of the desired outcome.
If you do not understand your subject, AI may expose your ignorance. If you do not know your audience, AI may help you produce content that speaks to nobody. If you have no original position, AI may give you a polished version of everybody else's opinions.
The machine can help you express your mind. It cannot give you a lifetime of experiences that you have never lived. It can help you organise your thoughts. It cannot take responsibility for the truthfulness of your convictions. It can help you become more productive. It cannot decide what deserves your attention. That responsibility remains human.
When I think about my first AI class in 2013 and compare it with what AI can accomplish today, I cannot help but appreciate how far the technology has travelled. What was once largely an academic subject has become a tool that ordinary people can access from their computers and phones. What once required specialised technical knowledge can now be initiated through ordinary language. That is a remarkable development. But the most important question is no longer whether AI will change the creative industry. It already is. The question is whether the people working in that industry will change with it.
I do not believe authors should abandon their craft. I believe they should expand it. I do not believe content creators should surrender their creativity. I believe they should discover new ways of expressing it. Like; Learn how to prompt. Learn how to evaluate AI outputs. Learn how to combine human experience with machine capabilities. Learn how to use AI for research, editing, brainstorming, illustrations, organisation, and productivity. And above all, keep developing your own mind. Do not become the person who spends the next ten years explaining why AI is bad while someone else uses it to build what you could have built.
Remember Kodak. The tragedy was not simply that digital photography arrived. The tragedy was that an established giant struggled to transform itself despite having encountered the technology that would reshape its industry. I would hate to see talented authors and content creators make the same mistake. You do not protect your future by refusing to learn the tools that are shaping it. You protect your future by mastering them before they make your old methods irrelevant.
The future is not asking whether you approve of AI. It is presenting you with a choice: learn to work with it, or risk being overtaken by those who do. And perhaps the most provocative question every author should ask themselves today is this: If AI can now do in minutes what you have spent years doing manually, what exactly is the unique value you bring to the table? If your answer is simply that you refuse to use AI, you may already have a problem.