The First AI Generated Image in 1973: History Explained

Before the Prompts: How 1973 Gave Birth to the World’s First AI Artist

When we think of artificial intelligence and imagery today, our minds instantly jump to web browsers, instant text prompts, and hyper-realistic, cloud-computed graphics generated in seconds. Yet, long before neural networks scraped the internet or GPUs rendered photorealistic fantasies, the blueprint for AI-generated art was quietly sketched out over half a century ago.

The story of the world’s first AI-generated image does not start in a Silicon Valley tech incubator. Instead, it begins in 1973 in an artist’s studio, driven by a man who decided to teach a machine how to draw.

The Painter Who Invited a Machine Into the Studio

In the late 1960s, British-born painter Harold Cohen was an established, successful artist. Having represented Great Britain at the prestigious Venice Biennale, Cohen was at a comfortable peak in his career. However, he found himself gripped by an unorthodox, radical curiosity: What is the core essence of drawing? How does the human brain translate abstract thoughts into physical lines on a canvas?

To answer that question, Cohen stepped away from conventional painting and immersed himself in computer science, taking a position at the University of California, San Diego. He didn’t want to use the computer merely as a digital paintbrush or a passive tool. He wanted to create an autonomous entity—a software program that could make its own creative decisions.

He named his digital creation AARON.

1973: The Breakthrough of AARON

By 1973, Cohen’s programming efforts culminated in a monumental milestone: AARON successfully produced its first autonomous images.

Operating on a mainframe computer, early AARON did not use modern machine learning, deep learning, or massive datasets. There was no internet to pull from. Instead, Cohen painstakingly encoded cognitive and artistic rules into the program. He taught the software logic regarding:

• Geometry and spatial reasoning: How lines intersect, close, and define shapes.
• Proportion and composition: How elements relate to one another within a defined boundary.
• Autonomy: Once Cohen hit “run,” he did not interfere. The computer made independent choices about what to draw next based on internal rules.

The resulting 1973 outputs were abstract, intricate compositions of primitive lines, closed forms, and stark black-and-white patterns. While they looked remarkably minimalist compared to modern AI art, their significance was seismic. For the first time in history, an algorithm—not a human hand holding a pen—conceived and executed a visual artwork from scratch.

A Lifelong Collaboration

What makes the story of AARON truly fascinating is that 1973 was only the beginning. Cohen did not treat AARON as a one-off experiment; he spent the next four decades of his life as a co-creator alongside his software.

As computing technology evolved through the decades, Cohen continuously updated AARON.

• In the 1980s and 1990s, AARON evolved from drawing abstract black-and-white lines to understanding closed forms that resembled rocks, plants, and eventually human figures.
• Cohen eventually taught AARON how to handle color, designing specialized hardware so the machine could mix its own paints and physically paint large-scale murals displayed at institutions like the Tate Modern and the Whitney Museum of American Art.

Cohen famously referred to AARON as his “doppelgänger”—an intellectual partner that possessed a specialized form of machine cognition, reflecting Cohen’s own understanding of art back at him.

The Legacy Left Behind

Harold Cohen passed away in 2016, leaving behind a legacy that anticipated the modern generative AI revolution by decades.

When millions of people generate digital art today with a simple stroke of a keyboard, they are participating in a technological lineage that dates back to a mainframe computer humming away in 1973. AARON proved that creativity was not strictly exclusive to human biology—opening up a philosophical and artistic frontier that we are still aggressively exploring today.