Creative Writing

Essays 

Who Writes When Machines Learn to Speak

“Artificial” comes from artificium — something made, crafted with skill. “Intelligence” comes from intelligentia — the ability to understand, to choose, to make sense of things. Put together, artificial intelligence is not just about machines. It is about creating something that appears to understand. And that is where the unease begins. Because language has never been just a tool. It is how we think, how we feel, and also how we make sense of ourselves. When we write, we are not simply arranging words — we are locating ourselves in the world. So what happens when a machine begins to do the same?

What happens when writing is no longer human. A few years ago, an experiment led to a novel generated by AI during a road trip from New York to New Orleans. The result, 1 the Road, was imperfect — fragmented, sometimes incoherent — but it was undeniably text that resembled storytelling. It did not come from memory or lived experience. It came from patterns. And yet, we still recognise it as something close to writing. This is the moment we are living in — where language can be produced without being lived.

This has led to the shift in the idea of the author. We have always believed that writing belongs to someone. The word “author” itself comes from auctor — the originator, the one who creates. But with AI, this idea becomes unstable. If a machine generates a story:

Is the machine the author? or The programmer who built it? or The data it learned from? or The person who prompted it? Authorship, once clear, becomes distributed. Writing is no longer a solitary act. It becomes a collaboration — even if an uneasy one — between human intention and machine generation. 

AI writes by learning patterns. It studies language at scale, absorbs structures, and produces new combinations that often feel convincing. But is that creativity? Or is it imitation at an advanced level? Human writing is shaped not just by patterns, but by experience — by memory, emotion, contradiction, and context. We write from what we have lived, not just what we have seen. A machine does not remember. It does not feel. It does not hesitate. And yet, when we read its words, we sometimes respond as if it does. That response tells us something — not about the machine, but about our own expectations of meaning.

Now, the reader matters more than ever. Because if a text can exist without a single human author, then meaning shifts. It no longer comes from intention alone. It comes from interpretation. So, what matters is not just who wrote the text, but how it is read — how it is understood and used. In this sense, AI does not just change writing. It changes reading. 

The key is to write with machine not against them. We often treat AI as a threat to creativity. But perhaps it is more accurate to see it as an extension. We already write with tools — we search, edit, refine, and translate using digital systems. In many ways, we are already assisted in how we think and write.  The question is no longer whether AI will be part of writing. It already is. The real question is: What remains uniquely human in the process?

Why we still wrte? Even if a machine can generate a poem, it cannot experience what the poem comes from. It cannot: remember a loss, feel uncertainty, struggle to find the right words, or write something it does not fully understand. Human writing is not just about producing text. It is about making meaning. We do not write because we are the only ones who can. We write because we are the only ones who need to. AI can generate sentences. But the “I” — the voice that says I felt and I remember — does not come from data. It comes from being human, from living within real world time, memory and experience. That “I” is imperfect. Sometimes unclear. Sometimes contradictory. But it is real. And perhaps that is what will matter most in the years ahead. Not whether machines can write like us. But whether we continue to write like ourselves.