Rethinking Originality: How AI and Human Creativity Recombine Ideas

“Everything that can be invented has been invented,” a phrase often misattributed to the early twentieth century, captures a feeling that has quietly returned in a new form today. In light of the fact that AI is now able to produce essays, images, music, and new ideas almost instantly, one might say that the concept of originality has somehow diminished, leaving less room to be innovative by the moment. Given the fact that technology can create all this, it poses an interesting dilemma regarding the manner in which human beings think and come up with ideas.

According to cognitive psychology, human thinking has never been a clean break from what came before. One of the core ideas discussed is associative thinking, where the mind basically moves from one idea to another through a network of connections built from memory, experience, and language. A single word like “ocean” might lead to “holiday”, then to “childhood”, and then to a memory of standing near water without thinking too much about anything else. Thoughts rarely arrive as complete, finished structures. Instead, they unfold gradually, each idea linked to something already stored in the mind and shaped by what we have encountered before.

This also connects closely with schema theory, which describes how the mind organizes knowledge into mental frameworks that help us navigate the world.  For instance, we have different schemas of eating out, taking part in a class discussion, or chatting, and if any new data comes up, we don't redevelop a concept from scratch. Instead, it is integrated into existing schemas or adjusted slightly in order to become relevant. Hence, all thoughts are formed using knowledge obtained previously to some extent, although we might not realize it.

AI systems make this process easier to see because they generate outputs by recognising patterns in large amounts of existing human material and recombining them at scale. While this can feel very different from human thinking, the underlying structure is not entirely unfamiliar. The fundamental approach used by both humans and AI machines involves nothing else but the reorganization of existing materials into new forms.

Creativity, then, is often less about invention in the pure sense and more about recombination. It involves taking existing ideas and bringing them together in ways that have not been combined before, or at least not in quite the same form. This can include stories based on common themes but using a new setting, a new idea in science that synthesizes knowledge from two different observations that were previously seen to be distinct, or any normal problem-solving process that involves reorganizing elements.

When seen through this lens, the boundary between “original” and “derivative” thinking becomes less clear than it first appears. Humans have always thought based on previous input, from society, language, education, personal experiences, or elsewhere; each thought has been in some way influenced by previous thoughts, although not always immediately discernible.

AI systems make this process easier to see because they generate outputs by recognising patterns in large amounts of existing human material and recombining them at scale. While this can feel very different from human thinking, the underlying structure is not entirely unfamiliar. In essence, both methods involve the manipulation of previously available data into new configurations, and the only difference is speed and scale rather than the method itself.