Thursday, June 25, 2026

The Just Create Coach

Commission in progress

 The Just Create Coach is my attempt to make my art teaching more accessible.

It’s free.

You can use it here:

https://www.abbadabba.com/freebies.html

It contains all the information in this blog and stuff in my brain. It's an easy resource to use.

That’s where much of my thinking lives. The coach I created just lets you ask questions instead of digging through posts, pages, and years of material. I used AI to make this interactive. 

For anyone who has an immediate reaction to AI, I understand the hesitancy. 

I’m using it to organize my own knowledge into a searchable tool. That’s the kind of thing I could not have afforded to build with custom programming. This is practical.

And it solves a real problem. People ask me if I’d talk to aspiring artists they know. I say yes. I give them my contact info. Almost nobody reaches out. I don’t think they’re lazy. I think they’re nervous. I was nervous too. So now they can ask the awkward question without the awkward email or phone call.

Try it.

If you stump it, tell me what you asked.

That helps me make it better.

Just create.™

art copyright 2026 Howard Simpson

Wednesday, June 24, 2026

One Way to Learn

 


I have so much unfinished art. I came across this unfinished piece while making room on my laptop and moving it to a backup drive.

At the time, I wanted to challenge myself in a few ways. I wanted to try that 1950s pin-up style. Second, I wanted to see if I could bring this washed-out photo to life. I also wanted to get better at hair. I've always disliked drawing hair, so I never put much effort into it.

I feel I was on my way to a good illustration. This didn't get finished, most likely, because I started it in-between jobs and then got busy with paying work. 

I must have done this around the time I created the hair video tutorial. https://youtu.be/Jd_4mjGH1u0?si=kZcGNC4yWvbhiFV_

The style I'm using looks like the 1950s. Not my usual technique. I created this video after not finding a hair tutorial that suited my needs. So I studied hair. I put what I learned into this video tutorial.

A lot of artists get stuck when they can't find a prepackaged way to learn. They want tips, tricks, and quick results. Not only did I learn more by studying hair on my own, but that knowledge is now mine. It's a part of me. I don't have to keep referring to someone else's tutorial.

Where did I learn? From hair stylists and barbers.

Seeing it now gives me an idea for something different I can do with this style. Won't get to it until next year. I have a big project I have to do first.

Just create.™

art and text copyright 2026 Howard Simpson




Friday, June 12, 2026

The Law is Catching Up to AI

The AI copyright debate is starting to leave the campfire stage.

For a while, it really was the Wild West. Models trained fast. Data was scraped faster. Artists were told this was just “learning” and “get used to it.”
That era is ending. Not because courts suddenly care about art. Because money, sourcing, and market harm are now on the record.
First, a baseline that still matters. The U.S. Copyright Office has ruled that AI-generated work, by itself, cannot be copyrighted. That decision limits ownership on the output side.
The real fight is upstream.
Bartz v. Anthropic put training data under a microscope. The case wasn’t about whether AI can learn. It was about what it learned from. Pirated shadow libraries, not legitimately licensed books.
The result was a $1.5 billion settlement. The largest copyright recovery in U.S. history.
The ruling split the issue into two:
Training may qualify as fair use in theory.
Using stolen data does not.
That distinction forced the settlement and sent a clear signal to the industry. Scraping without permission now has a price tag.
Then came Thomson Reuters v. Ross Intelligence.
The court rejected the idea that copying copyright-protected works is harmless if the final output looks different. Intermediate copying still counts if you’re building a competing product. More importantly, the court recognized something creators have been saying for years.
Training data has market value. If there’s a licensing market, taking the data for free is not fair use.
California is now pushing that logic further with the bill AB-412, the AI Copyright Transparency Act. The bill would require AI developers to disclose what copyrighted works were used in training, and give creators legal recourse when companies refuse to answer.
This doesn’t shut AI down. It removes plausible deniability. For artists, this is a qualified win. Not a royalty system. Not full protection. But leverage.
The Wild West doesn’t end when everyone agrees. It ends when the rules start getting enforced.


 

Thursday, June 11, 2026

Why I Don't Fear AI

 

Here’s why I don’t fear AI replacing what I do as an illustrator, storyboard and comic book artist.
AI can replace labor. It can’t replace an illustrator.
Not real ones. Not the ones who think, interpret, translate, and direct the eye with purpose.
Here’s why.
  1. Illustrators don’t draw pictures. They shape meaning.
    Your process makes that clear. You read the script until the scene forms in your mind. You don’t start drawing until you see it. The mind is your first tool, not the pencil.
    AI doesn’t see a scene. It rearranges data. It doesn’t interpret subtext, pacing, emotional temperature, or intent. It simply imitates the surface.
  2. Illustrators light a scene with purpose.
    You understand why a shadow traps a character’s emotion or why a hard edge focuses a reader’s eye. You’ve spent years observing how light bends around form and how it drives story.
    AI understands none of that. It renders “lighting style.” It doesn’t know why a character should be ominous in panel seven or contemplative in panel three in a graphic novel. Your mastery is rooted in the craft of storytelling, not aesthetics.
  3. An illustrator makes choices. AI only outputs.
    Your thumbnails, your refusal to judge early sketches, your search for the one moment that carries emotional truth; these are decisions formed from training, taste, restraint, and experience.
    AI can’t choose with intention. It can’t feel when a composition is honest or when it cheats. It generates options. An illustrator creates meaning.
  4. Illustrators bring lived history and influence to the page.
    Your lineage stretches from Windsor McCay to Jack Kirby, from Caravaggio to Alex Toth. You don’t mimic them. You absorb them. You understand why Kirby pushed perspective or why Caravaggio staged light the way he did. AI copies appearance without understanding lineage. It can’t synthesize tradition into something new.
  5. Illustrators solve problems AI can’t see.
    Editors and Creative Directors hire illustrators for judgment. For pacing. For visual distinctness. For continuity. For deciding how the reader will move through a sequence of emotional beats.
    You understand the invisible mechanics: panel rhythm, line of action, silhouette clarity, balloon space, acting, and camera grammar.
    AI doesn’t know any of those rules. It imitates them when they are accidentally present in the data. It doesn’t apply them with intention, and it can’t troubleshoot a broken sequence.
  6. Illustrators collaborate. AI doesn’t.
    A script is a conversation. You interpret, negotiate, push, question, and revise. You bring intelligence to the table. A collaborator.
    AI is a tool. It brings no perspective, no lived understanding, no creative friction. And friction is where good work comes from.
  7. Illustrators create from identity.
    You don’t create for an audience.  Remember when you were drawing as a little kid.  You did that for yourself. Maybe you showed the really good ones to your mother. You create to stay alive. It’s breath. AI has no inner life to draw from. No unconscious to wrestle with. No inner child to reconnect to.
  8. Illustrators bring value defined by time, cost, and experience.
    Your worth is not measured in hours but in your eye, your training, your storytelling instincts, your reliability, and your ability to solve visual problems no dataset understands. Your rates reflect that value.
    AI has no rate. It has no consequences. It has no accountability.
  9. Illustrators evolve. AI repeats.
    You adapt to the story. You shift. You grow. You interpret.
    AI is static. A mirror of training data, not a mind that responds to the moment.
  10. Illustrators create the work AI imitates.
    Without illustrators, AI has no dataset. It feeds on the very people it supposedly replaces. Remove the illustrators, and the machine starves.
AI can speed production. It can fill gaps. It can generate references, variations, and studies. It can serve the illustrator.
But it can’t be the illustrator. Because an illustrator isn’t the hand.
It’s the mind behind it. The taste. The judgment. The lived experience. The instinct sharpened by years of seeing the world with intention. That can’t be replaced.
Not by a model trained on pixels. Not by a prompt. Not by speed.
Only by another human who sees.

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