How AI is Changing Artistic Expression

Creativity is up. Diversity is down. Everyone’s talking about how GenAI speeds up creativity. But speed isn’t the real shift. What’s actually changed is how we create, and who does what. A few years ago, being creative meant starting from zero. Now it means knowing what to keep, what to cut, and what to remix. The best creatives I know aren’t just creators. They’re: ➡️ Curators, picking from AI outputs ➡️ Editors, tightening what matters ➡️ Prompt writers, shaping the next round GenAI doesn’t replace the process. It reshapes it. Taste matters more than originality. Workflow matters more than perfection. But here’s the catch: When everyone uses the same tools in the same way, The work starts to look the same. Sameness scales. A Science Advances study showed that while GenAI boosts individual creativity, it reduces the diversity of what gets made. Polished? Yes. Different? Not always. If we’re not careful, AI might make us more productive but less original. So the next creative skill isn’t generation. It’s direction. → Inject human unpredictability → Break the template → Ask better questions than the model can answer Curious: What’s one way you’re protecting originality in your creative or product work? Let’s trade notes 👇 🖼️ Image: AI-generated via Ideogram

I won a Grammy without playing a single instrument. The industry panicked. Now they’re panicking again — about AI. They were wrong then. They're wrong now. Before recorded music was invented in 1877, people could only hear music by seeing bands perform live. The music industry thought it was the end of live performances, which defined the industry, but it only grew the music pie. When computers were introduced to music creation, traditionalists said music was officially dead forever because computers were taking over. It’s not real music, they cried! But these digital tools instead created producers, engineers, and an entire economy of creators who couldn't afford orchestras - like me. Even back then, to make music, you needed: → $100,000 studio → Years of training → Industry connections Now? → A laptop → A bedroom → A vision That same revolution is happening with AI. What was required to create technology: → A development team → Years of coding → Millions in funding Now needs: → An idea → An AI prompt → A weekend At Adventr, we're proving this every day. We're creating experiences that would have required 50-person teams just three years ago. Now small teams with AI can build them in days. The gatekeepers always panic when the gates disappear. But the creators? They thrive. Labels feared digital production. Studios fear AI. Agencies fear generative tools. Why? Because they lose control and creators gain it. But history is clear: When creation becomes more accessible, industries get bigger, not smaller. More creators means more content. More content means more consumption. More consumption means more jobs. AI isn't replacing creativity.  It's eliminating the 𝘣𝘢𝘳𝘳𝘪𝘦𝘳𝘴 to it. The question isn’t whether AI will replace artists. It’s whether you’ll help build the next creative revolution - or get left behind, looking at the skeletons of old models. But, just my take... -DH

Who would have thought that broken glass could become a canvas for breathtaking art? Simon Berger, the Swiss artist, transforms shattered glass into mesmerizing portraits, proving that creativity thrives where others see only destruction. His work is a testament to the boundless ingenuity of the human mind. But what if the next leap in creativity isn’t just about what we do with our hands, but how we collaborate with machines? Recent research reveals that when artists collaborate with AI, their brains show increased connectivity, suggesting that the creative process itself is being rewired and expanded. These real-world results are staggering: ✅ Creative output can rise by up to 300% when humans and AI work together, compared to working alone. ✅ Over 80% of top creators now leverage AI in some part of their workflow, blending human intuition with machine precision. ✅ AI is no longer a novelty, it’s becoming the connective tissue of modern creative work, scaffolding human imagination rather than replacing it. The partnership between human and AI is not about replacement, but amplification. AI can suggest, iterate, and inspire, but it’s the human touch, our intuition, emotion, and willingness to see art in the unexpected - that turns shattered fragments into masterpieces. This invites us to consider: ✅ If broken glass can become art, what new forms of beauty might emerge when we break the boundaries between human and artificial creativity? ✅ As AI becomes a creative partner, are we witnessing the birth of a new kind of artist - one that is part human, part machine? ✅ Could the next Simon Berger be a duo: a person with a hammer and an AI with a vision? What will you create when you let go of old limits and embrace the new tools at your fingertips? Creativity is about daring to make something beautiful from what others overlook. In the age of AI, our capacity to imagine, adapt, and collaborate is more powerful than ever. To Stay Ahead in #Technology and #Innovation:  👉 Subscribe to the CXO Spice Newsletter: https://lnkd.in/gy2RJ9xg  📺 Watch us on CXO Spice YouTube: https://lnkd.in/gnMc-Vpj

I made a Latin rock song using AI... I haven’t touched an instrument since junior high, yet after a few words in Riffusion, I had a track that—while not Grammy-worthy—was surprisingly decent. AI isn’t just automating tasks. It’s reshaping creativity itself. 𝗛𝗲𝗿𝗲’𝘀 𝘁𝗵𝗲 𝗿𝗲𝗮𝗹 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻: If AI can generate music, art, and writing in seconds, 𝘄𝗵𝗮𝘁 𝗱𝗼𝗲𝘀 𝘁𝗵𝗮𝘁 𝗺𝗲𝗮𝗻 𝗳𝗼𝗿 𝗵𝘂𝗺𝗮𝗻 𝗰𝗿𝗲𝗮𝘁𝗶𝘃𝗶𝘁𝘆? Most people assume creativity is about:   - Making something from nothing   - Having a unique vision   - Producing something original  But maybe we’re thinking too small.  𝗧𝗵𝗲 𝗦𝗵𝗶𝗳𝘁 𝗬𝗼𝘂 𝗡𝗲𝗲𝗱 𝘁𝗼 𝗠𝗮𝗸𝗲... 𝗔𝗜 𝗶𝘀𝗻’𝘁 𝗿𝗲𝗽𝗹𝗮𝗰𝗶𝗻𝗴 𝗰𝗿𝗲𝗮𝘁𝗶𝘃𝗶𝘁𝘆—𝗶𝘁’𝘀 𝗿𝗲𝗱𝗲𝗳𝗶𝗻𝗶𝗻𝗴 𝗶𝘁. - 𝗔𝗜 𝗮𝘀 𝗮 𝗖𝗮𝘁𝗮𝗹𝘆𝘀𝘁 – Instantly generate ideas, concepts, and variations   - 𝗛𝘂𝗺𝗮𝗻𝘀 𝗮𝘀 𝗗𝗶𝗿𝗲𝗰𝘁𝗼𝗿𝘀 – Set the vision, emotion, and purpose   - 𝗧𝗼𝗴𝗲𝘁𝗵𝗲𝗿 𝗮𝘀 𝗖𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗼𝗿𝘀 – The feedback loop that leads to new creative breakthroughs  The smartest creators aren’t fighting AI.   They’re learning how to 𝘄𝗼𝗿𝗸 𝘄𝗶𝘁𝗵 𝗶𝘁. 𝗛𝗼𝘄 𝗬𝗼𝘂 𝗖𝗮𝗻 𝗦𝘁𝗮𝘆 𝗔𝗵𝗲𝗮𝗱 I dive deeper into this in my latest newsletter:   𝗜𝘀 𝗔𝗜 𝘁𝗵𝗲 𝗠𝘂𝘀𝗲 𝗼𝗳 𝘁𝗵𝗲 21𝘀𝘁 𝗖𝗲𝗻𝘁𝘂𝗿𝘆 𝗼𝗿 𝘁𝗵𝗲 𝗘𝗻𝗱 𝗼𝗳 𝗖𝗿𝗲𝗮𝘁𝗶𝘃𝗶𝘁𝘆? What’s your take? Drop your thoughts below—I respond to every comment.   1️⃣ Repost ♻️ this if you found it useful. 2️⃣ Subscribe to my [Weekly (occasionally more often) Future-Proof Your Career] for actionable strategies to turn AI anxiety into career momentum. 3️⃣ Follow me for daily insights on leading with humanity in a machine-driven world. 𝗟𝗶𝗻𝗸 𝘁𝗼 𝘁𝗵𝗲 𝘀𝗼𝗻𝗴 𝗶𝗻 𝘁𝗵𝗲 𝘀𝘁𝗼𝗿𝘆!

🎨 Is AI going to put artists out of work? Let’s stop dodging the question—yes, AI will replace some artists. And no, that’s not inherently a bad thing. Before you rage-scroll, hear me out. Not every artist is a tortured visionary creating timeless masterpieces. Many are commercial creatives paid to deliver assets—fast, on brand, and on budget. If an AI can do that in 10 seconds for $10… guess what? Companies are going to use it. That’s not unfair. That’s economics. What we’re witnessing is not the “death of art.” It’s the death of monopoly on creative production. For decades, tools and access were gatekept—by training, by software, by studios. Now anyone with a laptop and an idea can generate professional-looking content. That terrifies some people. But it shouldn’t. Because the artists who will thrive are the ones who understand this: AI is a tool, not a replacement. Just like Photoshop didn’t kill painting, and photography didn’t kill realism. Instead, it forced a transformation—and the best artists evolved. The ones who insist AI art “isn’t real” or “doesn’t count” are fighting the wrong battle. The real question is: how do you stay creatively relevant when anyone can create anything? The answer is vision. Taste. Narrative. AI can remix what’s been done. It’s still us who decide what’s worth doing. If you’re an artist right now, you have two choices: 1️⃣ Compete with AI by doing what it does faster and cheaper (good luck). 2️⃣ Use AI to elevate your process, expand your ideas, and do things no traditional pipeline ever could. Art is evolving. The audience is evolving. You can fight it, or you can lead it. So no—AI isn’t killing art. It’s just killing laziness, gatekeeping, and creative stagnation. What do you think—scary future or overdue revolution? #AIArt #ControversialOpinion #FutureOfCreativity #GenerativeAI #ArtistsVsAI

Did OpenAI just kill the careers of designers and illustrators? I see a lot of these posts with this claim 👆 , so here's my take 👇 OpenAI recently introduced a new image generation model as a part of GPT-4o, combining remarkable capabilities in text and image generation. We have all tried Studio Ghibli styles at this point for our personal images (Huge fan!) Truth: It will disrupt careers and transform the creative landscape! However, claiming this advancement "kills" careers misses a crucial point: tools enhance creativity; they rarely replace it outright. This new model can create stunning visuals in seconds. It can mimic styles, generate ideas, and produce high-quality work. The speed and efficiency are unmatched. This shift has left many designers feeling threatened. Job security is at risk. Many wonder if their skills will still be valued. I call it the "Creative Disruption Effect". This powerful change impacts the art world in five critical ways: → Accessibility: Everyone can create art now. → Quality: AI produces high-quality images fast. → Variety: Countless styles and options are available. → Cost: Cheaper alternatives to hiring artists. → Competition: More creators in the market. Each of these elements brings challenges. • Increased accessibility = "Oversaturation" • Quality without effort = "Devaluation" • Endless variety = "Confusion" • Lower costs = "Reduced earnings" • More competition = "Struggle for visibility" Here’s how to thrive in this new world: 1/ Embrace technology: ↳ Learn to use AI tools to enhance your work  ↳ Combine your creativity with AI’s power 2/ Focus on storytelling: ↳ Create art with a unique narrative  ↳ Connect with your audience on a deeper level 3/ Build a personal brand: ↳ Showcase your style and personality ↳ Stand out in a crowded market 4/ Collaborate: ↳ Work with other artists and tech experts. ↳ Create something new and exciting 5/ Keep learning: ↳ Stay updated on trends and tools ↳ Make YOU + AI your personal brand! The future belongs not to AI alone, but to those who best leverage the collaboration between "human ingenuity" and "artificial intelligence"

"AI will destroy art," they said. Today: their brain waves control robotic arms in front of world leaders at Davos, turning mistakes into masterpieces, making machines dance, and proving everyone wrong. Born in Canada to immigrant parents, Sougwen Chung lived between two worlds: A father who filled rooms with opera, and mother who wrote in code. "I was raised speaking both languages," they recall, "music and programming, art and technology, seeing the internet as an optimistic frontier where anything was possible." As a young artist her early works exploded on paper, abstract forms seeking expression. But traditional media couldn't contain their vision. Chung wanted more: > more movement, > more unpredictability, > more life in their art. Then came 2015, and an invitation that would change everything: The MIT Media Lab. Armed with open-source blueprints and revolutionary ideas, Chung built their first robot: DOUG 1, (Drawing Operations Unit: Generation 1). The plan was simple: The robot would watch them draw and copy every stroke perfectly. Instead, it made mistakes.  Beautiful, unexpected mistakes that changed everything. Each generation of DOUG pushed boundaries further: > DOUG 2 learned from the past, trained on hundreds of Chung's drawings, creating art so compelling the Victoria and Albert Museum claimed it for their collection. > DOUG 3 became a swarm, multiple robots moving as one, their paths guided by the pulse of New York City streets, translating urban flow into artistic expression. > DOUG 4: connected directly to Chung's brain, translating consciousness into art. This journey of human-machine collaboration reached its peak in January 2025. At the World Economic Forum, Chung unveiled "Spectral" - DOUG 4's most ambitious performance yet. The audience watches transfixed as thoughts in brain become movement and movement becomes art, and the line between human and machine begins to blur. While others see AI as art's replacement, For Chung, each performance proves technology isn't just a tool - it's a collaborator in creativity. Yet the audience sees none of this. They see only the dance: Artist and machine, Mind and metal, Creating something entirely new. "We're trapped in this idea of AI versus human," says architect Zihao Zhang. "Chung shows us a different way: not competition, but co-production." "Artificial intelligence remains human at its core," Chung insists. "It relies on human data, shaped by human biases, impacts human experiences. These technologies don't emerge in a vacuum - there's real human spirit behind every movement." From ink on paper to brain waves controlling robots, Chung hasn't just adapted to the future - they've reimagined what it can be.

AI is here to stay, and the design field will undergo its most dramatic shift in the last 100 years. First, it’s important to understand that the design paradigm constantly changes due to technological and cultural advances. In the 1920s–30s, the rise of industrial production separated design from craft, ushering in functionalism and standardization. By the mid-century (1940s–60s), a more human-centered approach emerged, softening modernism's cold edges. The 1970s and 1980s brought postmodern critique and semiotic play, in which design became language, not just utility. With the 90s–2000s digital boom, focus shifted to systems, interfaces, and user experience. The 2010s emphasized participation and co-creation. Most recently, design has expanded beyond the human, towards trans-humanism and systemic thinking. Now, with the ongoing AI revolution, the question is, what is changing? What is the paradigm shift? The high-level shift is a move from human-centered to intelligence-centered design. The emergence of generative AI, autonomous systems, and synthetic cognition is morphing design into a field detached from siloed human authorship, cognition, and perception. The definition of “designer” expands to meet AI as co-creator, interpreter, and participant. The result is tools that learn and evolve, and workflows that are no longer linear or purely human-driven. AI reshapes ideation, iteration, and even judgment. The design process becomes increasingly emergent, probabilistic, and hybrid. Craft becomes curation, and curation becomes art. Fundamentally, the shift is a change in the locus of meaning-making. Design ontological boundaries are challenged by a new reality in which intelligence becomes a fluid and scalable resource that pervades everything we interact with. That’s the paradigm shift.

To AI or not to AI? Over the past several months, I’ve been pursuing two seemingly contradictory creative processes: painting with acrylic on canvas and painting with image generation AI. I love both, and juxtaposing the purely analog with the purely digital every day is a powerful kick-in-the-pants reminder about the fundamentals of creativity. The painting on the left is my own handiwork, a large canvas I covered with many layers of paint. The painting on the right is also my own handiwork, a Midjourney rendering based on teaching the AI robot to paint like I do. Which is a “better” painting is a moot point to me. What I find fascinating is not how similar or different the paintings are, but how different  the decisions I had to make to produce each were  -- and how thin, conceptually, a surface-only image actually is. To create the first painting, I had to make thousands of tiny decisions every step of the way, from which color to use, to where to put things in the composition, to which direction to push the brushstroke, to what level of detail to apply to each element. While the result is a pretty painting, what a photo can’t show is how much thought, care, experience, angst, and learning is behind the final surface.  To make the second painting, I also had to do a lot of work. Using Midjourney’s new “Moodboard” engine, I fed the robot dozens of my previous paintings, then tinkered with the app’s extensive array of settings to find just the right mode, mood, colors, textures, and light to reasonably mimic my style. Then I used a photo as the prompt, and presto: instant simulation of a not-bad painting. As the “is AI creative?” debate heats up, the lesson for me is this: when used thoughtfully, AI is an incredibly valuable creative tool for people who worry about their creative capabilities or are looking for a sidekick to help them. But because image generation AI tools (using present “diffusion models”) see only the skin-deep surface  of previously completed images and ideas -- and have no ability to discern the bones underneath -- they pose no threat to the depth of the true joy and learning of the human creative process. So keep drawing, painting, writing, making music, and crafting your dreams. If you do these for love, there is nothing that the AI brings that could stop you. On the contrary, when I look at the AI version of my painting, I see so many things I would never want to do. 

The Academy’s recent update to the Oscar rules formally acknowledges the use of generative AI in filmmaking. AI usage will not disqualify a film from being nominated, but the Academy clarified that achievements with strong human authorship will be valued more. This shift has sparked wide discussion across the industry. This is not just a technical adjustment. It reflects a deeper change in how we think about creative work. Over the past year, AI has quietly entered the filmmaking process. For example, The Brutalist used AI to enhance actors’ accents, which triggered debate about authenticity. Other major films like Dune: Part Two and Emilia Pérez also used AI tools in post-production. These examples show how AI is becoming part of the creative toolkit. But they also raise important questions about whether the emotions, or the soul of any work, is being diluted or displaced. This concern is understandable. Every major wave of technological change brings discomfort. The invention of photography once worried painters. Digital effects challenged traditional set design. But history reminds us that creative people are not replaced by new tools. They adapt, and they often go further because of them. What makes a film meaningful is not the tool itself, but the human behind it. The thoughts, emotions, and decisions that shape a story are deeply human and cannot be replicated by machines. It is the writer who creates characters and dialogue grounded in human truth. It is the director who shapes the world and pacing of the story with feeling and intent. It is the VFX team who transforms imagination into imagery that supports emotional depth. It is the actor who delivers presence, vulnerability, and authenticity, forming a bond with the audience. Film is a human art form. It speaks through sound, image, and rhythm, but its purpose is always emotional connection. It helps us understand one another. It helps us feel something real. That essence must be protected. The true value of innovation lies not in automation, but in expansion. When more people have the technology to tell stories, creativity becomes richer and more inclusive. In the short term, disruption is inevitable. But in the long term, I believe this shift can elevate emotional storytelling, and bring us closer through art. That is the future we are working toward at Cybever. #film #creativity #AI #humanfirst #Cybever https://lnkd.in/etUPkaXt