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Twenty minute talk / AI and design work
Can designers imagine a step up?
A direct question. A direct answer: yes, if you know what part of the work is actually yours.
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Opening, 1 min. Start with the question people actually have, even if they do not say it out loud. “Can designers imagine a step up?” Do not soften it. The talk is not about defending design as a noble profession. It is about finding the part of the work AI does not simply take over.
The answer we keep hearing
Judgment.
Taste.
Sure.
Those words are not wrong. They are just too blurry to help us on Monday morning.
What AI takes
Standards, checks, variants, first drafts, a lot of pattern checking work.
What remains
Establishing consensus and choosing a direction.
The problem
We use big words for that: taste, judgment, creativity.
The sharper word
Imagination.
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Frame, 90 sec. Keep this simple. “Taste” and “judgment” are useful, but they hide the real skill. The real skill is seeing a possible next thing before it exists. That is imagination, and this talk explains why it matters now.
The route
I
Grieve.Some work is really disappearing. Admit it.
II
Name it.Style, taste, vanguard, imagination.
III
Look outside.New material comes from life before it becomes data.
IV
Ahead of the tool.AI is powerful, but it still needs your judgement and direction.
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Map, 60 sec. Follow the article closely. First, let people feel the loss. Then give them language. Then explain why imagination needs real-world material. Only after that, return to the tool and why it is not optimal yet.
I / Grieving
Start with the loss. Then we can talk honestly about what still matters.
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Transition, 20 sec. Use this as a reset. The first part is not optimism yet. It is naming that something familiar is genuinely disappearing.
I / The shape of loss
The six stages of grief.
01
DenialThis cannot really change the work.
02
AngerThe tool is cheapening what we do.
03
BargainingMaybe it only affects the boring parts.
04
DepressionWhat if the familiar work is gone?
05
AcceptanceSome parts are changing for real.
06
MeaningSo what is still mine to practice?
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Part I, 60 sec. Use the grief model lightly, not clinically. The point is that resistance, anger, bargaining, and sadness are understandable reactions when a craft changes. Then move toward meaning: which part of the work still belongs to the designer?
I / It is not just a bubble
Resistance is good when it doesn't come from fear.
The question cannot only be: “is AI bad?” It also has to be: “can this help me do better work?”
CIA Simple Sabotage Field Manual1944
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Part I, 2 min. Say clearly: ethics matter. Safety matters. But in the workroom, they can also become a way to avoid trying the tool. The CIA manual image helps make that kind of resistance visible: delay, caution, committees, channels.
Ioana Teleanu in LummiIt is just a bubble
Something is ending. That does not mean you are ending.
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Part I, 90 sec. This is the grief slide. Designers are not irrational for feeling loss. Some familiar work is ending. The point is to move from “I am being replaced” to “which part of my work was never the valuable part?”
The uncomfortable part
Some work does not have to be human anymore.
ChecksError states. Responsiveness. Common patterns.
First draftsThe thing you used to assemble before the real decision started.
Divergent creativityIdeas are collaborative.
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Transfer, 90 sec. Do not over-explain. Many designers spent years doing this work, and it mattered. But AI can now do a lot of it well enough. That is painful. It also frees attention. The question is where that attention goes.
II / Four concepts
These will tell why you can step up.
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Transition, 20 sec. Move from grief into practical vocabulary. These four words help the audience tell apart work AI can mimic from work that still needs a person close to culture.
II / Four concepts
Style
A language.Colors, shapes, rhythm, references that already make sense together.
Taste
A choice.This fits. This does not. This is too much. This is right.
Vanguard
A break.Something new before people know what to call it.
Imagination
An image.Seeing the next thing before it exists.
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Vocabulary, 2 min. This is the helpful part for the audience. Make the terms ordinary. Style is a language. Taste is choosing inside that language. Vanguard is the break. Imagination is holding the image before the world has made it easy.
Style
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Style image. Style is the shared visual language people can recognize before they can explain it.
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Style study. Full-screen visual example for style.
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Style study. Full-screen visual example for style.
Taste
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Taste image. Taste is selection: this works, this is too much, this belongs, this does not.
Bad taste is about exaggeration and discrepancy. It creates effects, not meaning.
After Umberto Eco, "The Structure of Bad Taste," in The Open Work (1962; English trans. 1989).
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Taste quote. This paraphrases Eco's argument about bad taste and kitsch: effects are forced in ways that substitute sensation for meaning.
Vanguard
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Vanguard image. Vanguard is the break that arrives before the category has a name.
II / Vanguard
A break with the status quo.
Vanguard appears where culture is under pressure: subcultures, streets, and disrupting agents that make the old language stop working.
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Vanguard definition. Define vanguard plainly as the break with the status quo. It usually arrives from subcultures, streets, and disruptive actors before it becomes a recognized style.
IMAGIN
ATION
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Imagination image. Imagination is the ability to hold the next image before culture has made it easy.
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Envision image. Centered visual reference.
Ioana Teleanu in LummiStyle / taste / vanguard
Taste is not the end
How fast do AI style choices become outdated?
This cycle is not new. Remember flat design?
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Taste, 90 sec. Keep it concrete. AI can make tasteful things because taste often means selecting well inside an existing style. The human edge is earlier: noticing a new signal before it becomes a style.
III / Wild data
If imagination is the skill, then the raw material has to come from outside the model.
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Transition, 20 sec. This part explains why designers still need to go to the world. The model learns from culture after culture has already happened.
III / Imagination needs material
The model is trained on yesterday.
It sees records.Images, words, patterns, things culture has already made visible.
It recombines well.That can be useful, fast, and beautiful.
It misses the raw stuff.The awkward, new, local, bodily, not-yet-named material.
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Wild data setup, 2 min. Avoid “corpus” if possible. Say: the model learns from what culture has already made visible. That is why it is powerful. It is also why it is late. It cannot directly live in the world.
Wild data
New work starts close to real life.
Streets. Subcultures. Team politics. A customer saying the thing no survey would predict.
Google DeepMind in PexelsWild data
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Wild data, 90 sec. Define wild data simply: the material that is still alive and not yet cleaned up. A weird customer sentence. A new behavior. A visual thing in a neighborhood. The model will get it later. Designers need to catch it now.
Bad Bunny
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Visual example. The rise of Bad Bunny as a global masculine archetype. Especially his appearance and dominance around the Super Bowl cultural orbit.
Y2K Flash
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Visual example. Younger generations became fascinated with chaotic Millennial perfectionism: nightlife imagery and morally ambiguous glamour, despite the opposite ethos of these generations.
YouTube Horror
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Visual example. Why did it take 20 years for YouTube to influence cinema, and not the other way around? Nobody knows.
Baggy Pants
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Visual example. Who told that all of a sudden the most persistent trend of Millennial skinny jeans would vanish? Who decided it was over, when? Not AI.
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Liquid Glass
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Liquid glass. Placeholder background expects assets/liquid.gif.
The next thing is always up to us.
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Transition, 30 sec. Use this as the hinge from cultural examples back to the practical tool question. Trends do not arrive by committee. Someone notices, names, and moves first.
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GOT BORING?
Since the iPhone, much of digital design became standardized. Apps and landing pages converged around startup conventions, funding signals, Material Design, and Bootstrap. Design work often shifted into copying the standard.
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Got boring? Background uses assets/factory.gif. Keep the critique concrete: standardization made many interfaces easier to ship and easier to fund, but also more passive.
Gentrification of branding?
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Branding image. Centered visual reference for the convergence of brand systems.
Strauss Zelnick, CEO of Take-Two, May 2026.
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GTA reference. Centered video reference with caption.
IV / The microphysics of design
Now we return to the software: why the tool still needs a person with direction.
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Transition, 20 sec. The final part is about the interface problem. AI is powerful, but it often asks for a destination before the designer has discovered one.
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MILISECONDS
Design is not prompting. Design is iteration at the millisecond scale. Imagination also processes perception, real-world wild data, and the next thing.
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Microphysics title. Background uses assets/coffee.mov. The point is that design work happens through rapid perception, adjustment, and selection.
IV / The tool problem
AI asks you to know before you see.
That is why imagination matters more, not less. You need a direction before the tool can help.
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Tool problem, 2 min. Now return to the interface. In graphical tools, you can move things and discover what you mean. In prompt-based AI, you often have to describe the destination before seeing it. That makes imagination a practical skill, not a poetic one.
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IMAGINATION AND DIFFERENTIAL
AI changes the status quo by making creative production cheaper. Most outputs are still average.
The differential is taste: selecting, rejecting, and sharpening what the tool produces.
The fuel is observation. Imagination turns wild data and pre-prompt vision into something new. IMAGINATION IS YOUR ADVANTAGE.
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Imagination and differential. Background uses a dimmed assets/wild-data.mp4. Use this as the synthesis of AI, taste, observation, and imagination.
So what should designers do?
Let AI handle the obvious.
Spend more time with the not obvious.
Give away standards.Checks, variants, drafts, patterns, cleanup.
Stay with reality.People, places, tensions, references, strange signals.
Practice seeing.Build the image in your head before you ask the tool.
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Practice, 2 min. This is the practical answer. Do not fight AI for the work it is good at. Use that time to get closer to real material and to build a stronger internal image. That is the path to more valuable work.
So what should designers do?
If you can envision, and if you have a sharp eye, you're ahead.
Everybody's smart.The Product Owner can prompt an idea. So can you.
Who can envision?Those with a sharp, selective eye will make the right choices.
What does that mean?If you can have a product idea and you can envision the output, this means you're moving upwards.
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Envision advantage. The differentiator is not intelligence but imagination — the ability to see the output before the tool produces it.
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DESIGN STEPS UP?
Designers are now called to stop following, use imagination to envision, select, prompt, and reason their choices. This can be a step up.
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Design steps up? Background uses assets/stare.mp4 with increased contrast and saturation. End the argument by framing the shift as higher responsibility, not lower value.
Sojourn
Available now. A 235-page book shipped to consultants in the UK, Netherlands, Sweden, Canada, and Finland. sergiotavares.com/sojourn
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Sojourn, 30 sec. Mention the book is available and keep the rotating previews moving like a quiet GIF.
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Close, 60 sec. End cleanly and leave the contact slide up with name, role, web, and LinkedIn QR visible.