- Verses Over Variables
- Posts
- Verses Over Variables
Verses Over Variables
My 2026 predictions for creative AI: the shift from making things to making systems that make things

Welcome to Verses Over Variables, a newsletter exploring the world of artificial intelligence (AI) and its influence on our society, culture, and perception of reality.
My 2026 Predictions for Creative AI
We’re watching a transformation in creative work that’s quieter than the AI hype cycle but significantly more consequential. The shift I’m tracking for 2026 is about creative professionals realizing that their execution skills are getting commoditized while their systems-thinking skills are becoming exponentially more valuable.
This sounds abstract until you see what’s actually launching.
Style Passports Become Infrastructure
Brand guidelines are evolving from suggestions in a Google Doc into portable files that force AI tools to stay in their lane. By mid-2026, I expect a new file format to emerge that we’re calling “style passports.” Think of it as a file containing your complete creative DNA. Every color grading rule you’ve spent years perfecting. The typography constraints that define your aesthetic. Tone parameters that encode your brand voice, including the fact that you hate the word “leverage” and your client loses their mind over wide-angle drone shots.
You build this passport once. Then you import it into whatever tool you’re using this week. Your aesthetic follows you everywhere. The early adopters have figured out something crucial: the passport itself is more valuable than any individual piece of content it produces.
The risk: Once your creative soul is a 40kb file, anyone who gets a copy can wear your brand like a skin suit. And the legal infrastructure doesn’t exist yet because copyright law doesn’t know what to do with a file that encodes creative decisions but contains no output.
If style becomes this portable and commoditized, what happens to the entire concept of “signature aesthetic” as a competitive advantage? The creatives who spent a decade developing a distinctive look might find themselves competing against someone who bought their exact style for $149. Do we end up in a world where style expertise becomes worthless, or does this create a premium market for “un-copyable” aesthetics that resist systematization? I suspect both happen simultaneously, which means the industry splits into two incompatible markets.
Project Memory Beats Personal Memory
The platforms are building a different kind of lock-in through memory. We’ve all noticed that ChatGPT remembers you’re a freelancer who hates Oxford commas. Claude knows you prefer Python. This personal memory feels convenient until you try switching platforms and realize you’re starting from zero.
The smarter shift I’m seeing is toward project-scoped memory instead of user-scoped memory. You spin up a new workspace for each client engagement and spend the first hour building the project brain. The successful creatives are treating this initialization as a sacred ritual. (You can do this already with Projects in some tools and almost in NotebookLM.)
There’s a tension emerging though. If you’re billing for “project brain initialization” and clients start seeing this as a line item, they’re going to ask why it takes an hour. Or why they can’t just reuse the brain from the last project with a different agency. We might be creating a new expectation (AI systems that remember client preferences) that undermines the very expertise we’re trying to monetize. Data leakage between projects is one risk. The bigger one is clients realizing they don’t need you once the brain is built.
The Memory Portability War Heats Up
While platforms fight to lock you into their memory ecosystems, I predict third-party services will emerge to make your context portable. Think password managers, except instead of passwords, you’re managing your accumulated creative preferences, project contexts, and interaction history. Your context becomes yours, not platform-specific data you’re renting access to.
The professionals who see this coming are backing up their AI context graphs, versioning them, choosing tools based on export capabilities, even when those tools aren’t quite as polished as the locked-down alternatives. They’ve learned that being platform-independent is worth a small performance penalty because platforms (and pricing) change.
The risk: You want to switch to a better tool, but you can’t because your current one has six months of your secret sauce trapped in its database. If you can’t export your context, you don’t own your workflow. You’re just an unpaid intern for OpenAI.
Actually, that’s not quite right. The bigger risk is that memory portability might not matter at all if one platform achieves total dominance. If 80% of creative professionals end up using the same ecosystem because it’s 15% better and has network effects, then portability becomes a theoretical feature that nobody actually uses. We’re optimizing for platform independence in a world that might be moving toward platform consolidation. I’m genuinely uncertain which force wins.
Taste Tools Become a Category
I’m watching a new category of tools emerge that don’t generate anything. These are taste tools. Cliché detectors that flag when you’ve used “dive deep” for the fourth time. Brand consistency checkers identifying the places where your color palette drifted.
The workflow becomes: generate with AI, critique with different AI, refine based on the critique, generate again, critique harder, repeat until it passes your taste threshold. (Design thinking anyone?) You’re training your own judgment faster than you could solo. The smart creatives stopped trying to make AI generate better outputs. They started using it to critique what they already had. This is AI as creative director, not AI as production intern.
These tools optimize for what has been done historically. They smooth out the weird judgment calls that break patterns and create new paradigms. If you let the AI critique everything, you end up with work that is perfectly fine but totally soulless. It sands off all the interesting mistakes.
Which raises an uncomfortable question: are we training a generation of creatives who are excellent at recognizing mediocrity but incapable of producing genuine novelty? The taste tools tell you what’s wrong but they can’t tell you what’s brave. If everyone’s using the same cliché detector, we all converge on the same “non-clichéd” alternatives, which become the new clichés. I’m not sure whether taste tools accelerate creative evolution or just create a faster treadmill.
Workflow Wallets Replace Portfolios
I think the most valuable skill emerging in 2026 is workflow architecture. The professionals winning aren’t the ones who can generate the best first draft. They’re the ones who’ve built modular workflow “wallets” (portable, shareable node-based pipelines) that they can fork and deploy across projects. Think Weavy, Adobe’s Project Graph, Freepik Spaces. This is going mainstream fast.
Think about how we hire software developers. Nobody cares if you wrote one beautiful piece of code. They care if you can consistently produce quality at scale with version control and testing. Creative work follows the same pattern. Sophisticated professionals are building workflow libraries rather than thinking project by project. Reusable pipelines for common tasks.
Workflow complexity becomes gatekeeping. You don’t need Photoshop mastery anymore. But you need to understand node-based architectures, parameter passing, memory management. Different skills, possibly higher ceiling, definitely not more democratic.
This creates a fascinating second-order effect for design education. If the valuable skill is workflow architecture rather than execution, what are we teaching students? Do traditional design programs retool to focus on systems thinking and technical infrastructure? Or do they double down on conceptual development and taste, positioning themselves against the workflow engineers? I suspect we see schools split along this fault line, which means in five years we might have two incompatible definitions of what “designer” even means.
The First Draft Collapse
When everyone can generate a decent logo in 30 seconds, a competent blog post in 2 minutes, and product photos that used to cost $500 instantly and infinitely, the economic value of those first drafts approaches zero.
I predict the new valuable skill will be a second-draft specialist. Someone who can take raw AI output and apply taste, cultural context, and strategic editing at speed. These professionals are editors who curate and refine. Their pitch isn’t “I can make you a logo.” It’s “I can generate a hundred options, identify the three that actually work for your brand context, refine them strategically, and deliver something distinctly yours instead of generically competent.”
The race to the bottom on pricing is real. Clients see you editing AI output and think “Why does this cost money?” The value of curatorial expertise is invisible to people who don’t have it.
The part that keeps me up at night: what happens to the pipeline of talent development? If junior creatives can’t get paid to do first drafts anymore, how do they develop the 10,000 hours of taste that makes them valuable second-draft specialists? We might be creating a world where the path to expertise no longer exists. The seniors who already have developed taste will thrive. The juniors trying to build that taste have no economic runway to practice. We could end up with a missing generation of creative professionals, which eventually hollows out the entire industry when the current experts age out.
The Anti-Slop Aesthetic Emerges
We’ve been talking about this for a while: the value of humanity and craft. And now we’re seeing a cultural backlash forming against AI. For exactly one year, the market moved toward perfection. AI-generated clean, polished, professional content. Everyone loved it. Then people got suspicious because the content was too clean, too perfect, too algorithmic.
I think prosumers will start intentionally injecting imperfection into their work in 2026. Film grain, handwriting, brush strokes, and temporal inconsistencies. Imperfection as a strategic marker of humanity. In a world where AI content is ubiquitous and perfect, the luxury market inverts. Perfection becomes cheap. Imperfection becomes expensive.
Creators are developing “humanization” workflows, studying analog aesthetics, even printing AI outputs and rescanning them or running digital video through actual VHS decks. The market is responding with “AI-generated, hand-finished” positioning.
The market gets flooded with humanity filters, and suddenly having a signature style just means you picked a different grain setting. Fake-ugly becomes the new generic.
This gets complicated though. This prediction directly contradicts the style passport prediction. If imperfection and handcraft become the premium markers, then the entire premise of systematized, portable style breaks down. You can’t encode “happy accidents” into a file. Which means we might see the market split: commercial work dominated by style passports and systematic production, while premium/luxury work returns to handcraft and resistance to systematization. The tools that win in one market will be completely wrong for the other. I don’t think both trends can coexist in the same creative practice, which means professionals will be forced to choose which market they’re serving.
The Pattern I’m Seeing
Creative work in 2026 stops being about making things. It starts being about making systems that make things. The bottleneck shifts from generation to curation, from creation to judgment, from doing the work to designing how the work gets done.
The professionals making this shift (executor to architect, maker to curator, craftsperson to systems designer) are going to have unfair advantages in a market where execution work becomes free. The ones still competing on first drafts or execution speed are competing against infinite AI generation.
But I keep coming back to this: what if I’m wrong about the fundamental premise? What if a meaningful percentage of the market rejects this entire trajectory and succeeds by going in the opposite direction? What if creative work splits the same way, and the “systems thinking” path I’m describing only captures half the market while the other half builds sustainable practices around craft, slowness, and human touch?
I honestly don’t know. But the professionals who are thinking about this question right now, rather than assuming one path is inevitable, are probably the ones who will navigate 2026 successfully regardless of which future actually happens.
— Lauren Eve Cantor
thanks for reading!
if someone sent this to you or you haven’t done so yet, please sign up so you never miss an issue.
we’ve also started publishing more frequently on LinkedIn, and you can follow us here
if you’d like to chat further about opportunities or interest in AI, please feel free to reply.
if you have any feedback or want to engage with any of the topics discussed in Verses Over Variables, please feel free to reply to this email.
banner images created with Midjourney.