The Best Books on Art and Design to Read This Summer (2026 Reading List)
The Talk: WE AND THE COLOR's Art and Design Podcast
This episode explores the existential challenge posed by generative AI to creative professionals in 2026. The hosts walk through five curate
Key takeaways
- Adam Moss's concept of 'generative erasure' posits that the act of rejecting ideas actively defines a work forward.
- Allan Pete's 'permanence first principle' suggests designers must optimize for long-term physical reality rather than short-term client pitches.
Main topics
- Generative AI impact on creativity
- The creative process and 'generative erasure'
Notable quotes
The struggle is the art.
Conclusion
The ultimate value of human design in an automated age lies in its cap
Transcript preview
Speaker 1 (0:00) In the time it takes you to listen to this sentence, an artificial intelligence model just generated, I don't know, 50,000 corporate logos. Oh, Speaker 2 (0:07) easily. Speaker 1 (0:07) Right. And it probably mapped out 300 architectural floor plans and rendered a museum's worth of hyper-realistic oil paintings. Speaker 2 (0:14) Yeah. Speaker 1 (0:15) And it did all of that without breaking a sweat, without taking a sip of coffee or, you know, experiencing a single moment of human doubt. Not Speaker 2 (0:22) at all. Speaker 1 (0:23) So here we are. It is the summer of 2026. And the overriding question hovering over every creative studio, every architecture firm, and frankly, every individual who simply likes to make things is basically this. Why bother making anything ever again? Yeah. I mean, when the machine can give you a flawless rendering in three seconds, what is the actual point of human design? It Speaker 2 (0:46) is honestly the defining existential crisis of our current moment. I mean, we have completely decoupled the final output from. the friction of the process for centuries. You know, the value of a designed object, whether that was a chair or a corporate identity or a physical build at that value was inextricably linked to human labor. The Speaker 1 (1:07) trial and error. Speaker 2 (1:08) Exactly. The trial and error, the highly specialized knowledge required to actually manifest that thing in the physical world. But now. Now Speaker 1 (1:16) the labor and time are essentially zero. Right. Speaker 2 (1:19) They've been reduced to zero by generative. algorithms. So we are forced to define what the human mind actually brings to the table. Like if our advantage isn't speed and it's not flawless execution, what is it? And Speaker 1 (1:32) that is exactly the territory we are mapping out today. Welcome to the talk podcast proudly presented by we and the color dot com. Thanks Speaker 2 (1:40) for having me. Speaker 1 (1:41) I want to set a very specific. Speaker 1 (1:44) deliberate tone for our conversation right out of the gate here. We are going to slow down today. I Speaker 2 (1:49) love that. We definitely need it. Speaker 1 (1:50) Yeah, because summer is supposed to be the season that gives you permission to step off the treadmill, right? To sit on a porch or a train and just engage in slow, difficult, sustained reading. Speaker 2 (2:01) Not just the frantic scrolling we do for nine months out of the year. Speaker 1 (2:04) Exactly. Not the scrolling. We're talking of the kind of reading that actually rewires your perception. So to navigate this massive technological shift we're in, we are unpacking five pivotal books recently curated on WeAndTheColor.com. And Speaker 2 (2:20) it's a fantastic list. Speaker 1 (2:21) It really is. This isn't just some random assortment of titles. These were selected by the platform's founder, Dirk Petzold, specifically because they interrogate the foundational roots of human creativity. Across Speaker 2 (2:33) wildly different scales, too. Speaker 1 (2:35) Yeah, from painting and graphic design all the way to architecture and historical manufacturing. Speaker 2 (2:39) And what is particularly compelling about this collection, I think, is what it completely omits. Speaker 1 (2:44) Oh, yeah. That's a great point. Speaker 2 (2:46) Because none of these five texts are like. anti-technology manifestos. You're not going to find any angry essays demanding we smash the servers and return to drawing in the mud. Speaker 1 (2:56) Right. There's no ban the AI rhetoric here. Speaker 2 (2:58) Exactly. Instead, they mount this rigorous defense of human design by simply illuminating the domains where algorithmic generation fundamentally fails. They Speaker 1 (3:08) focus on the physical stuff. Speaker 2 (3:10) Yeah, the necessity of material honesty, the slow cultivation of long-term permanence, and frankly, the biological realities of human space. Speaker 1 (3:18) So if you are a graphic designer out there staring down an AI that can perfectly mimic your style, or an architect wondering how to justify your fee, or even just someone looking around your living room wondering why the space feels subtly hostile. This conversation is designed to rebuild your understanding of physical and visual value. It Speaker 2 (3:38) really is a necessary reframing. Speaker 1 (3:40) And we are going to start that rebuilding process not with a finished, polished product, but with the chaotic, often agonizing internal landscape of the human mind. The Speaker 2 (3:49) messy part. The Speaker 1 (3:50) very messy part. We're opening with Adam Moss' extraordinary book, The Work of Art, How Something Comes from Nothing. Moss, for those who don't know, is the former editor of New York Magazine, and he spent years interviewing over 40 heavy-hitting creatives. Speaker 2 (4:04) Novelists like George Saunders, painters like Amy Sillman. Speaker 1 (4:07) Composers, filmmakers, yeah. But the key is he didn't ask them to wax poetic about inspiration. Speaker 2 (4:12) No, because inspiration is usually just a post-rationalized myth. I mean, artists love to tell stories about a lightning bolt of genius striking them in the shower, but that rarely reflects the actual reality of the work. Speaker 1 (4:24) It sounds good in an interview, though. Speaker 2 (4:26) Right, it sounds great, but it's not helpful. Moss bypasses that mythology entirely by employing what he calls the artifact-first method. Speaker 1 (4:36) Which I found fascinating. Speaker 2 (4:37) It's brilliant. Speaker 1 (4:38) Rather Speaker 2 (4:38) than asking an artist to just describe their philosophy, he asks them to physically produce the archival evidence of their process. He basically wants to see the literal trash. The Speaker 1 (4:48) trash. Speaker 2 (4:49) Yes. He examines George Saunders' heavily crossed out, incredibly chaotic early drafts. He looks at the discarded, fragmented visual references Sofia Coppola used before she solidified a film's aesthetic. He pours over composer Nico Mouly's messy, annotated musical scores. Speaker 1 (5:06) It's like evaluating a Michelin star restaurant, not by eating the final, geometrically perfect plate of food, but by walking into the alley behind the restaurant and digging through the kitchen scraps. Speaker 2 (5:17) That's a perfect way to look at it. Speaker 1 (5:18) You want to see the burn pans, right? The split sauces. The 50 failed experiments the chef threw in the garbage before they understood the exact chemical balance of acidity required for that one dish. Speaker 2 (5:29) Because the final plate. creates an illusion of inevitability. Speaker 1 (5:33) Exactly. You look at it and think, well, obviously it looks like that. It's perfect. But the kitchen scraps proved that the perfection was not inevitable at all. It was brutally forged. And Speaker 2 (5:42) that illusion of inevitability is exactly what generative AI exploits today. Speaker 1 (5:47) Oh, that's such a good point. Speaker 2 (5:48) When a machine spits out a photorealistic image of a futuristic city, it looks inevitable. It hides the total lack of process behind a veneer of instant perfection. But Moss's book argues that the process, the messy, agonizing struggle evidenced by those artifacts is not merely the vehicle to get to the art. The struggle is the art. Right. And this becomes incredibly clear when Moss introduces the concept of the threshold moment. Speaker 1 (6:15) Let's unpack the threshold moment because we all have vague ideas floating around in our heads all the time. Right. But Moss differentiates between a passing thought and a creative imperative. Speaker 2 (6:27) Yeah, a threshold moment is that precise, often terrifying instant when a vague curiosity suddenly crystallizes into an inescapable demand. It's the moment the artist realizes, I don't just want to make this, I am obligated to make this. Speaker 1 (6:42) It's a compulsion. Speaker 2 (6:42) Yes, but the crucial mechanical takeaway from Moss's interviews is that this moment is never passive. You do not sit around waiting for the threshold moment to arrive. Speaker 1 (6:52) It's not the lightning bolt. It's Speaker 2 (6:54) not. It is the result of active, accumulated discipline. You spend years reading, observing, taking notes, and failing, essentially building this complex internal filtration system. So when a tiny fragment of an idea finally drifts by, your mind is actually prepared to catch it and recognize its weight. Speaker 1 (7:11) That makes a lot of sense. It completely demystifies the whole genius narrative. But I want to dig into the day-to-day mechanics of that struggle because... We've all sat in front of a blank screen, typed out a paragraph, hated it and deleted it. Oh, Speaker 2 (7:23) constantly. Speaker 1 (7:24) And feels like moving backward. It feels like a massive waste of time. But Moss reframes this entirely with the concept of generative erasure. Speaker 2 (7:32) Generative erasure is arguably the most vital concept in the entire book for our current era. It posits that the act of destroying, removing or rejecting an earlier attempt does not set the work backward. It actively defines the work forward. Speaker 1 (7:47) Explain how that works in practice. Well, Speaker 2 (7:49) Moss uses the painter Amy Sillman as a primary case study. Sillman's practice involves these intense, relentless cycles of construction and destruction. She will paint a massive, complex layer onto a canvas, sit back, evaluate it, decide it doesn't work, and literally scrape it off or paint entirely over it. Speaker 1 (8:07) Well, wait, I want to push back on this or at least examine it through the lens of a machine. Go for it. If generative erasure is essentially just trial and error. You know, stripping away what doesn't work to find what doesn't. Isn't AI doing the exact same thing, just a million times faster? Well, machine learning models run millions of iterations in latent space, discarding failures and optimizing parameters to find the correct mathematical path. So why is a human painter scraping off blue paint inherently more valuable than a neural network dropping a dead statistical weight? If the AI gets to the right answer in a fraction of a second, Why do we care about the human slow erasure? Speaker 2 (8:46) See, that is the core philosophical trap of 2026. You are assuming that art has a right answer that simply needs to be computed. Speaker 1 (8:54) Okay, fair point. Speaker 2 (8:55) AI trial and error optimizes toward a predefined target metric. The human artist engaging in generative erasure is searching for the metric itself. Speaker 1 (9:04) Oh, wow. They don't even know what the target is yet. Speaker 2 (9:06) Exactly. Amy Sillman isn't trying to render a mathematically perfect apple. She is trying to resolve an internal biographical tension. When she scrapes away that blue paint, it leaves a physical topographical history on the canvas. Speaker 1 (9:19) The texture changes. Speaker 2 (9:20) The texture