Wednesday, June 10, 2026

AI Isn’t the Problem


 Artists Forgetting Their Power Is

Artists being afraid of new technology isn’t new. We’ve been here more times than people want to admit.


When paint was literally pulled from the earth, that was considered the “real” way to work; then oil painting arrived. It looked like cheating. If you didn’t grind your own pigment and get clay under your fingernails, were you even an artist? It took centuries for people to stop arguing and use the tool.


Industrial paint production hit next. Synthetic pigments flooded the market. The traditionalists called them vulgar. Sound familiar?


Then came the collapsible paint tube. Nobody hated the tube itself. They hated what came inside it. Artists complained the paint wasn’t “pure” or “handmade” enough. The pattern keeps repeating.


Photography showed up in the 1800s and shook the whole foundation of painting. A device could capture reality faster and cleaner than any painter. Critics called it “the mortal enemy of art.” Painters either adapted or became historical footnotes. The ones who stayed around did it by changing how they painted, not by trying to beat the camera at its own game.


Duchamp dropped a urinal in a gallery in 1917 and forced the entire field to admit that ideas matter just as much as execution. People hated him for it. Conceptual art exists today because one guy said, “What if art isn’t what you think it is?”


Acrylic paint was considered cheap and plastic. Today it’s standard.


Digital took even more heat. Early computer graphics were mocked. “Cold.” “Sterile.” “Not real art.” The minute artists got tablets and styluses, we turned the whole thing on its head again. But not before years of resistance, accusations of cheating, and a lot of hand-wringing about what’s “real.”


And even now, people still yell, “If it’s digital, it doesn’t count.” Some folks act like using a mouse or code erases the artist’s hand.


Every wave follows the same script. The new tool arrives. Artists complain. Artists adapt. Artists create something new. The field expands. Then something else shows up.


AI is our latest version of this same anxiety.


And yes, we have a legitimate grievance this time. AI scraped from artists without consent or compensation. I’m angry right along with you. But pretending we can shove AI back in the bottle isn’t realistic. The horse didn’t just leave the barn. It galloped across three counties.


I’m working on something that may help, but even that will be a bandage, not a cure. The damage is done. So the real question becomes: what now?


When you look at the history of every single art upheaval, we adapt. We create something that didn’t exist before. That’s our actual superpower, not the brush, tablet, or software. Us.


So when I hear “AI is going to take my job,” I can’t accept that.

AI isn’t going to take your job. A person who learns how to use AI will take your job.


If you sit in your puddle of fear and hate, someone else will make the leap you refused to make. That’s the part artists don’t want to hear, but it’s the truth.


We’ve always thrived when we stop guarding the old gate and start building new doors.


In the 1990s, the artists who were on the bleeding edge hijacked the only software available and bent it to their will. That software was “Ye Olde Photoshoppe.” Photoshop was created for photographers to retouch photos, but look what we artists did! We perverted its Prime Directive to suit our own needs.


From here on out, I want to show you how to use AI as an ally instead of a rival, how to let it handle the boring work so you can get back to the real work. The creative work. The part only we can do.


If you’re open to it, stick around. I’ll walk you through how artists can use AI in ways that strengthen, not replace, what we do. Leave your comments and questions. We’ll navigate this together.


Just create™


Note* I used AI for this infographic because I was never good at putting these together. Let’s let it do something I don’t want to do. No one’s paying me for it.

Tuesday, June 9, 2026

Disney Isn’t Fighting AI

 

It’s Redrawing the Rules of Creativity

With apologies to Charles Schulz copyright 2026 H. Simpson

Disney isn’t trying to stop generative AI. It’s using lawsuits and licensing deals to redraw who gets to control it.

The real question isn’t whether AI can learn from art, but whether independent artists will be allowed inside the system once the corporations finish drawing the borders.

The Disney and Universal v. Midjourney lawsuit is not just another AI copyright dispute. It is a power struggle over who gets to set the rules for generative AI going forward.

Unlike earlier cases brought by individual artists, this one involves two of the largest IP holders on the planet. That matters. Disney and Universal are not more morally right; however, they have the leverage to force outcomes that smaller creators never could.

In June 2025, Disney (including Marvel and Lucasfilm) and Universal (including DreamWorks) filed suit against Midjourney in federal court. Their claim was blunt: Midjourney operates as a bottomless pit of plagiarism, producing near-perfect replicas of protected characters on demand.

Not “inspired by.” Not “loosely reminiscent.” Functionally interchangeable copies.

What the studios are alleging

The core allegations are straightforward.

Midjourney trained its models by scraping millions of copyrighted images and countless hours of film without licenses. The resulting system can generate Elsa, Yoda, Shrek, or Minions with minimal prompting. And by marketing that capability, the studios argue Midjourney is inducing users to infringe on copyright at scale.

This is not about a single image. It is about industrialized replication.

Midjourney’s response follows the now-familiar AI defense playbook. Training is transformative. Learning from images is how human artists learn. And, in a counterpunch, Midjourney accused Disney and Universal of “unclean hands,” claiming their own employees and vendors use Midjourney internally for ideation.

That last point is interesting, but legally fragile. Hypocrisy is not permission.

Why this matters to individual artists

On the surface, this looks like billion-dollar companies fighting over territory. Underneath it, artists should be paying attention.

If the courts decide that AI training requires permission or licensing, that principle does not belong exclusively to Disney. It applies to everyone who holds copyright.

Individual artists do not have the resources to litigate that fight. Disney and Universal do. They are effectively spending billions to establish rules that will govern the entire ecosystem.

A ruling in their favor could force AI companies to adopt licensing models rather than scraping. That opens the door, at least in theory, to opt-in datasets and new revenue streams for creators.

More importantly, this case directly challenges the idea that “style” is fair game. The lawsuit targets the ability to reproduce the look and feel of protected characters. If that argument holds, it could strengthen protections against tools that generate work “in the style of” living artists.

The timing is not accidental

As of January 2026, the case is still in discovery. No ruling yet. But the pressure has already reshaped activities across the industry.

Companies like Adobe and Getty Images have doubled down on “commercially safe” models trained only on licensed or public-domain content. That is not altruism. It is risk management.

Then there is the move that changes how this lawsuit should be read.

In December 2025, Disney announced a three-year, $1 billion deal with OpenAI. Disney became the first major studio to license its characters to OpenAI’s tools, including Sora and ChatGPT, under strict guardrails. No actor likenesses. No voice replication. Tight controls.

Disney did not sue OpenAI. That was a choice.

The stick and the carrot

Look at the sequence.

June 2025: Disney and Universal sue Midjourney. December 11, 2025: Disney announces a $1 billion deal with OpenAI. Same day: Disney sends a massive cease-and-desist letter to Google, alleging copyright violations across Gemini and YouTube.

This reads less like a coincidence and more like a strategy. Litigation is the stick. Licensing as the carrot.

The message to AI companies is clear. You can fight us in court for a decade, or you can write a very large check and play inside our walls.

The walled garden problem

The OpenAI deal is not about stopping AI. It is about controlling it.

Disney didn’t just license content. They took an equity stake. They provided a clean, high-fidelity dataset that lets AI generate character-consistent output without legal risk. And they explicitly excluded actor likenesses to avoid union backlash and exposure to deepfakes.

From a corporate perspective, it is a smart move. From an artist's perspective, it raises an uncomfortable question. What happens after Disney and Universal “get their bag”?

The risk to independent creators

If Disney and Universal win, they will establish a precedent. Training requires permission. That sounds like a win for artists.

But precedent without access can cut both ways.

A pay-to-play licensing world favors those who already control massive catalogs. Smaller artists may find themselves excluded, not compensated. AI companies could simply stop training on unlicensed individual work altogether, consolidating cultural output around a handful of corporate datasets.

That creates a two-tier system.

An elite tier where major studios license and profit. An open tier where individual creators are left outside the walls.

This is the real tension of the AI copyright wars. Not whether AI exists, but who gets to decide what it is allowed to learn from.

Disney is not trying to kill generative AI. They are trying to own the map. And once the roads are built, everyone else has to decide whether they can travel on them.

Warner Bros. Discovery v. Midjourney (2:25-cv-08376): Filed in September 2025

copyright 2026 Howard Simpson

Monday, June 8, 2026

What Artists Miss When They Argue About AI

Photo by Rodrigo Rodrigues | WOLF Λ R T on Unsplash

Lately, I’ve seen artists panicking about AI, and I get why. It feels like someone is sneaking into your studio and stealing your pencils and brushes.

I grew up sharpening my craft the hard way, hours at the kitchen table, then the drafting table, crayons, markers, color pencils, ink stains, paint on my clothes and under my fingernails, deadlines, the whole shebang.

Artists keep asking me why I’m leaning into AI when I’ve spent my whole life drawing by hand; even when I use the computer, I’m still drawing by hand. The answer’s simple: I’m not betting on the tool, I’m betting on the artist who knows how to use it.

Here’s the truth: AI isn’t replacing artists. The artists who learn to use it will replace those who don’t.

I’m not anti-AI. I’m anti-artists getting left behind because they waited too long. How long did it take you to start drawing on the computer?

I’ve put decades into my craft, and I’m not about to let fear make decisions for me. If anything, AI pushed me to level up, not check out.

If you’re an artist watching all this unfold, now’s the moment to get curious. Not defensive. Not bitter. Curious.

Your creativity is still the engine. AI gives you a bigger car.

If you’re an artist, this is the moment to get ahead of the curve instead of hoping the curve slows down. Learn the tools. Shape them. Bend them toward your vision. Stay the artist in the room who understands where things are going.

Because the artists who learn AI aren’t losing jobs.

They’re taking them.

copyright 2026 by Howard Simpson

Wednesday, February 12, 2025


AI, Copyright, and the Future of Artists Like Us

The U.S. Copyright Office just dropped a deep dive into AI and copyright. If you’re an artist, designer, or creative of any kind, you need to pay attention. The report, Identifying the Economic Implications of Artificial Intelligence for Copyright Policy, doesn’t just analyze the law—it breaks down how AI is reshaping the economics of creativity. And yeah, it’s as serious as it sounds.

Here’s what stood out:

1️⃣ Can AI Art Be Copyrighted?

Right now, AI-generated work isn’t eligible for copyright unless there’s enough human creativity involved. But where’s the line? If an AIassistsyour process, does that count? If AI spits out a design that’s 90% your style, should it be protected? After all, you can train AI on your style. These are questions no one has clear answers to yet, and that’s a problem.

2️⃣ AI’s "Inspiration" vs. Straight-Up Infringement

AI models are trained on billions of images, artworks, and written works—many created by human artists like us. But is thatlearningor theft? If AI generates something strikingly similar to an existing painting, is it just a remix, or is it copying? The way copyright law definesoriginalityandinfringementis about to get tested in ways we’ve never seen before.

3️⃣ Whose Face, Whose Voice?

AI isn’t just mimicking styles—it’s cloning identities. From digital actors to AI-generated voices, the tech is getting scary good at replacing human creatives. The report talks about rights of publicity—meaning, should artists, musicians, and performers have legal control over their likeness, style, or voice when AI can imitate them in seconds?

4️⃣ The Data Dilemma: Should AI Companies Pay for Training Data?

Right now, AI companies are scraping massive datasets—including copyrighted works—without paying creators. Some argue it’s fair use; others say it’s flat-out exploitation. If AI companies had to license our work to train their models, how would that change the game?

🔹 What This Means for Artists

We’re at a turning point. AI is already competing with us, and if we don’t push for fair policies now, the future could look like a digital Wild West where human artists are devalued while AI profits from our creativity. This report doesn’t provide final answers, but it does frame the economic stakes in a way policymakers can’t ignore.

💡 What’s Next?

Copyright policy is still evolving, and artists need to be part of the conversation. Whether it’s fighting for licensing rights, pushing for transparency in AI training, or figuring out how to protect our styles, voices, and livelihoods, we can’t afford to sit this one out.

👉🏽 What do you think? Should AI be able to train on copyrighted art? Should AI-generated work be copyrightable? Let’s talk. 👇🏽


text copyright 2025 Howard Simpson