Why My AI Practice Brought Me Back to the Studio

For the last ten weeks, I was part of an experience that didn’t look like an experiment at first. It wasn’t framed as disruption or acceleration. It wasn’t about chasing the latest tool. It was a practice lab inside the Mastermind at AI Salon, led by Liz Miller-Gershfeld and Kyle Shannon, and it gathered people who had largely met through our shared work with generative systems.

On paper, this could sound like a story about AI.

It isn’t.

Black Ink Drawing by Cyndi Coon

This is a story about attention. About permission. About noticing friction instead of smoothing it over. And, unexpectedly, about getting pulled back into my studio like gravity had been waiting patiently for me to remember it existed.

Somewhere along the way, the most meaningful thing that happened to my work with AI was that it pushed me deeper into my hands.

That became the through-line.

We started with a deceptively simple idea: intention before interface. Before opening a tool, pause. Ask what you’re bringing as a human. Ask what you’re actually ready to explore. Then put the work inside a time container. Set a timer. Notice what’s happening as it unfolds. Write while you’re in it, not later, not as performance, but as part of the thinking.

That small shift changed everything.

It made the work deliberate instead of incidental. It also made resistance visible. Slowing down enough to name intention meant I could no longer disguise avoidance as productivity.

When confusion or discomfort showed up, the invitation wasn’t to fix it immediately. It was to stay with it. Long enough to see what it was pointing toward.

That’s when I started tracking complaints.

Not big, dramatic ones. The quiet, habitual grumbles that surface when something feels inconvenient, unclear, or slow. I wrote them down without judgment. I treated them as data. Complaints, I realized, are often early signals of learning. They show up right at the edges of what we don’t yet know how to do.

Around that same time, I pulled out inks and watercolors and put them next to my notebook. At first, it felt like a minor choice. In hindsight, it was a turning point. I wanted slowness. I wanted texture. I wanted the kind of thinking that only happens when the hand is involved.

I’m trained as an artist. This wasn’t nostalgia. It was a dormant system coming back online.

As the weeks went on, my digital and physical practices began to speak to each other. I explored AI image generation not as a finished output, but as a way to spark ideas. I loaded years of my own artwork into mood boards, generated images that echoed my visual language, printed them, and brought them into the studio. From there, I drew, collaged, and made by hand. Then I scanned those pieces back into my digital work.

It wasn’t replacement. It was circulation.

That loop changed how I thought about authorship and credibility. When I stopped outsourcing my hand by default, the work didn’t become less professional. It became more grounded. When I used hand-made images in client-facing work for the first time, the response wasn’t hesitation. It was recognition.

This experience also reshaped how I think about community. Instead of abstract ideas about connection, I created a simple weekly ritual with a small group of friends. Three questions. Once a week. Wins, support, and one intention to revisit. That structure created coherence without pressure. It allowed work to be witnessed, not evaluated.

As the tools grew more capable, the need to stay awake inside them grew stronger. Ease, I was reminded, is not neutral. Systems that work well invite overuse. Grounding practices became a way to calibrate.

When I write with a pen, I can’t move faster than my thinking. When I draw, I have to sit with uncertainty. Those limits aren’t obstacles. They’re feedback. They show me what I actually understand versus what I can generate quickly.

The final week was about integration. Not neat synthesis, but coexistence. Holding my creative practice, my professional work, and my technical fluency in the same space without fragmenting myself. Integration showed up in decisions: what I included, what I stopped outsourcing, what I allowed to be visible.

And here’s the irony I keep returning to.

My relationship with AI led me back to my hands.

Not away from them.

Back to a way of working where attention is not optional. Where thinking slows down enough to feel true. That wasn’t the conclusion I set out to reach. It’s simply where the path led.

That has been the gift.

What I’m carrying forward isn’t a framework. It’s a practice. Timers as doorways. Complaints as signals. Hands as thinking partners. Community as structure. Screens and studios in conversation.

In a moment when many people feel unsettled, the most grounded thing I can offer isn’t an answer.

It’s a practice.

A human one.

A hand-made one.

A real one.

Why Hands Still Matter in an AI-Accelerated World

As generative AI becomes faster, more capable, and easier to rely on, creative work is quietly drifting away from the body. Ideas move from prompt to output with barely a pause, and the friction that once shaped judgment is treated as inefficiency.

This isn’t a crisis of tools. It’s a crisis of touch.

Creatives are being handed a false choice: embrace acceleration or stay grounded in material practice. But the work ahead isn’t choosing sides. It’s designing creative processes where AI and analog making are intentionally held in tension, with the hands playing a central role.

Because when creativity loses contact with the body, it loses its ability to care.

Hands Are Not a Nostalgia Act

Analog making is often framed as a sentimental return to the past. That framing misses the point entirely.

Hands-on practices are not about preservation. They are about perception.

When you sketch, write by hand, cut paper, or move objects around a table, your body becomes part of the thinking system. Resistance shows up. Fatigue appears. Mistakes surface. You slow down just enough to notice what doesn’t belong.

None of that is inefficiency. It’s information.

AI can generate options at scale, but it cannot feel the subtle signals that emerge through making: the hesitation before committing, the discomfort that signals misalignment, the satisfaction that tells you something has integrity.

Those signals live in the hands.

AI Expands Possibility. Hands Shape Meaning.

Generative AI is powerful precisely because it collapses time. It drafts, reorganizes, recombines, and proposes faster than any human can.

Used well, this is a gift. It opens creative space. It accelerates exploration. It helps us ask better “what if” questions.

But acceleration without embodiment is hollow.

In my own practice, AI is where possibility expands. Hands-on work is where meaning is shaped. I use AI to explore broadly, then step away from the screen to sort, edit, and decide using physical materials.

The sequence matters.

AI generates.
Hands select.
Judgment emerges in the space between.

Why Friction Is a Feature, Not a Flaw

Meaning doesn’t arrive fully formed. It appears through resistance.

The pause before a sentence resolves.
The moment when a sketch feels wrong.
The impulse to stop and rework something rather than push it through.

These moments disappear when creation becomes frictionless.

From a systems perspective, this isn’t a creative preference. It’s a feedback problem. When physical resistance is removed, we lose an entire layer of information. Discernment weakens. Care erodes.

Hands-on making restores those feedback loops.

Designing for Embodied Judgment

If AI is part of your creative process, design for embodiment on purpose.

Use AI generously in early exploration, but require that final decisions pass through a physical stage. Write the conclusion by hand. Lay concepts out as cards. Rearrange sketches on a table.

When reviewing AI outputs, notice your body. Tight shoulders. Wandering attention. Relief. Resistance. If something feels off, pause. That sensation is not noise. It’s signal.

And keep at least one analog practice non-negotiable. Drawing. Mapping. Longhand journaling. Anything that keeps your hands in conversation with your thinking.

That practice becomes your calibration tool.

The Work Ahead

Generative AI will continue to accelerate creative work. That isn’t the problem.

The risk is forgetting that judgment doesn’t live in prompts or outputs. It lives in bodies. In hands that know when to stop, revise, or walk away.

Human-centered futures won’t be built by faster generation alone. They will be shaped by people who still know how to make, feel misalignment, and choose deliberately.

Meaning isn’t generated.

It’s shaped.
Handled.
Tested.

And that work still begins with the hands.

The Abandoned Cart Myth: What Cyber Monday Reveals About Power, Pressure, and Real Resistance

Cyber Monday arrives each year with the same choreography: bold countdowns, a tidal wave of “last chance” messaging, and the familiar undertow of engineered urgency. It’s not subtle. It’s not supposed to be. These systems are built to keep attention narrowed, choices accelerated, and clicks flowing.

This year, a social media trend has been circulating the idea that if you load up your online cart and walk away, you can somehow “hurt” the corporations. It’s framed as a tiny act of rebellion, a wink at the machine. A digital version of folding your arms and saying, “Not today.”

It feels good. It’s clever.
And it’s not how the system works.

What an Abandoned Cart Really Is

Leaving items in an online cart doesn’t take money from any corporate pocket. Nothing is manufactured on your behalf. No worker is asked to re-shelve anything. No stockroom shifts. There is no wound.

Your hesitation becomes something else entirely: a data point.

Retailers expect high abandonment rates. They build their systems around it. They study it. They use it. Teams spend their days analyzing where you paused, what you clicked, and what might convert you next time.

An abandoned cart doesn’t make the machine flinch; instead, it fuels it.

What Happens Behind the Screens

Here’s the actual chain reaction when you walk away:

Your hesitation is logged as behavioral insight, not sabotage.
Automated marketing begins: reminders, follow-up emails, the ads that trail you online.
Nothing is held or reserved; inventory carries on untouched.
A few dashboards dip slightly, but the system keeps humming.

It’s ordinary, predictable, expected.

So if the abandoned cart isn’t a blow to corporate greed, why does the trend resonate so strongly right now?

The Symbolism Matters

People are feeling squeezed – by inflation, by relentless sales cycles, by a culture that treats buying as participation. Cyber Monday has become less about deals and more about a yearly behavioral ritual built to trigger speed over intention.

The impulse to push back, even symbolically, tells a story.

It says: I notice the tactics.
I feel the pressure.
And I’m not sure I want to play anymore.

That instinct is important. But the meaningful resistance doesn’t live in the cart. It lives in the pause.

Where Real Resistance Shows Up

If people want to shift the landscape, there are pressure points that actually matter:

Choosing to buy less – as a practice, not a holiday exception.
Supporting small and local businesses where your money has a visible impact.
Buying used, borrowing, repairing, and trading.
Curating experiences instead of accumulation.
Treating attention as a resource, not something to hand over every time a company rings the bell.

These choices move markets. They reshape incentives. They influence how future systems are built.

A Strange Mirror for the Season

Cyber Monday reveals a lot about modern systems: one massive, coordinated effort to shape behavior. But it also reveals the counterforce of millions of small moments where people hesitate, question, or step back.

The abandoned cart trend won’t topple corporate greed. It was never going to. But it points toward something more compelling: the quiet rise of awareness.

People are beginning to see the machinery.
They’re noticing the pressure.
And they’re reclaiming the right to choose their own pace.

Corporations don’t fear abandoned carts. They fear consumers who stop playing by their script.

That’s where the shift begins.

Read more in my Medium article titled Leaving Items Abandoned in Your Cart Won’t Hurt Corporations — But Something Else Might

Cyndi Coon is a time traveler and rule-bender, nerding out for good using data, science and curious questions as an Applied Futurist, author, creative, ecosystem builder, facilitator, producer, researcher, storyteller and publisher for: governments, the military, higher education, private partnerships, enterprise, and industry. Cyndi is the Founder and Principal Futurist at Applied Futures Lab, Founder of Laboratory5, and Co-founder of Arizona State University’s Threatcasting Lab and Press, and is the co-founder at Threatcasting.ai. Cyndi is the co-author of Threatcasting (2021), Futurecasting (2026) and the author of numerous reports, articles and book chapters. Founder and Publisher at Turkey Hill Press.She is an Affiliate at the Center for Emergency Management & Homeland Security. Chief Media Officer for Content Evolution. She leads the i4j (global innovation for jobs workforce) and Coolabilities communities, promoting inclusive and forward-thinking solutions. She is a Web 3 advisor and a Future AI Mindset expert. Connect with Cyndi at Applied Futures Lab Linktree or LinkedIn.