Algorithmic Art: When AI Writes the Code, Where Is the Art?

An algorithmic artist reflects on how AI coding tools have lowered the technical barrier in his field, arguing that the art lies not in the final image but in the space of possibilities the artist builds—rules, bounds, colours and chance—and that the real risk is not authorship but monoculture, as shared models narrow what gets explored. He describes using Cursor and Claude for tooling, maths and rendering while keeping art direction and final decisions his own, and cites Linda Dounia's self-trained models as an example of AI serving an intention.