The rise of generative AI represents a massive leap forward in the democratization of creativity. For too long, the ability to express complex visual ideas was limited to those with the time and resources to spend decades mastering technical skills. AI tools act as an equalizer, allowing anyone with a vision to manifest it. It is no different from the transition from film to digital photography or the introduction of digital painting software—every technological shift in art faces initial resistance from traditionalists who feel their status is threatened. Using AI still requires human direction, taste, and iterative refinement. It is a collaborative process where the human remains the architect of the concept. We should embrace this as a way to expand the human imagination and lower the barrier to entry for storytelling, rather than trying to stifle innovation out of a fear of change. Progress shouldn't be held back by those who want to gatekeep what counts as 'real' art.
The fundamental problem with generative AI is that it cannot exist without the unauthorized use of millions of human-made works. These models are trained by scraping the internet without consent, effectively strip-mining the collective heritage of artists to create a commercial product that competes directly against the very people it stole from. It is not 'inspiration' in the human sense; it is a mathematical process of replication and statistical averaging. By automating the creative process, we are devaluing human effort and the unique perspective that comes from a person’s lived experience. If we allow corporations to replace artists with algorithms trained on stolen data, we are not just losing jobs; we are losing the very thing that makes art meaningful—human connection. Supporting AI art means supporting a system that prioritizes corporate efficiency and 'content' over human dignity, craftsmanship, and intellectual property rights.