How generative AI is rewriting the rules of art and business

Until recently, typing something absurd like "Spiderman on the moon shaking hands with a surreal Elon Musk" and instantly getting a hyper-detailed, photorealistic image would have sounded like sci-fi.

Now, it is just an average afternoon on the internet. On December 19, the CEO of Ukrainian AI startup Reface published a column in Forbes breaking down how generative AI is rapidly transforming human art and business strategy.

Explosive adoption meets an ethical showdown

The speed at which visual AI tools are spreading is unprecedented.

Consider the timeline: it took GPT-3 two years to hit one million users. Copilot beat that record by about six months. DALL-E crossed the million-user threshold in two and a half months. DreamStudio, powered by Stable Diffusion, blew past that same milestone in under a single month.

Automated journalism is not completely new. Outlets like The Washington Post with Heliograf, Forbes with Bertie, and Reuters with Lynx Insights have used machine learning for years to keep production velocity high.

What is new is the sheer level of personalization and creative fidelity. Breakthroughs like Google Research's DreamBooth let users train Stable Diffusion on specific objects, associating visuals with keywords to generate personalized scenes, styles, and synthetic content on demand.

From DALL-E Mini taking over social feeds as a meme generator this past summer to platforms like Adobe, Canva, and Figma integrating generative features, creators are using these models to build endless design templates or craft characters for games like Dungeons and Dragons and Fortnite.

Yet the creative world remains deeply divided. Jason Allen took first place at the Colorado State Fair with an artwork generated using Midjourney, while Louis Rosenberg proposed a "humanity tax" on synthetic artwork trained on user data.

Corporate reactions are just as split. Adobe and Shutterstock have leaned in, with Shutterstock announcing sales of AI art, while Getty Images banned synthetic content outright due to lingering legal risks.

To navigate this shift, Reface's chief suggests a clear product tactic: turn customers into creators by giving them accessible AI tools that spark user-generated content and boost engagement.

Why it matters

For everyday creators and indie builders, the democratization of media generation changes the baseline. Tasks that used to require mastery over complex 3D tools or illustration software now start with a simple prompt. The upside is effortless iteration; the flip side is that raw technical craft alone no longer offers a moat.

For businesses, the smartest takeaway is the shift from internal automation to user empowerment. Instead of treating generative AI merely as a back-office tool to cut headcounts or speed up copy, baking prompt-based generation into customer-facing products gives everyday users a reason to stick around, create, and share.

We think the elephant in the room remains copyright and intellectual property. The contrasting moves between Getty Images and Shutterstock show that legal risk is far from settled. Companies jumping headfirst into generative features must realize that until the rules around training data are codified, relying heavily on third-party models could expose them to serious regulatory whiplash.