AI in Creative Industries

Generative AI is reshaping portrait art, merging technology with creativity to redefine artistic boundaries. How do you rate The Hybrids? - Enhancing Creativity and Innovation: Generative AI introduces unique styles, enabling artists to explore new creative realms and achieve high customization levels. - Accessibility and Efficiency: AI facilitates rapid portrait generation at reduced costs, making top-quality art more reachable to a wider audience. - Blending Technology and Art: Interactive features in AI portraits craft immersive experiences, while data-driven insights amplify audience engagement. - Expanding Artistic Possibilities: AI-generated portraits transcend physical limits, unlocking fresh mediums and collaboration prospects. - Democratizing Art Creation: AI tools empower budding artists and promote global connectivity, nurturing a diverse artistic community. Generative AI acts as a creative collaborator, heralding a new era of innovation in portrait art. Examples like DeepArt, GANPaint Studio, and collaborations with artists like Refik Anadol highlight AI's potential in crafting breathtaking portraits. The Hybrids by Phil Langer. Gen AI portraits. @hybridportraits #GenerativeAI #PortraitArt #ArtificialIntelligence #Innovation #AI

If broadly true, this is massive. "Our findings reveal that AI enhances general human capital (cognitive abilities and education) by facilitating adaptability and idea integration but diminishes the value of domain-specific expertise." A fascinating study, "Augmenting Minds or Automating Skills: The Differential Role of Human Capital in Generative AI's Impact on Creative Tasks" (link in comments) researches humans + AI work dynamics in highly creative domains. The results align with what I have been thinking: because we can readily access and learn domain expertise, generalist skills are rising in relative value. This leads to many more questions, such as how we develop generalist skills, when this can only be built from sets of domain expertise. I will be sharing more on this in later posts. Some specific insights from the paper: 📊 Generative AI Enhances Creativity but Favors General Human Capital: Across two experiments—flash fiction writing and songwriting—AI improved creativity, particularly in novelty and overall impression. However, this effect was significantly stronger for individuals with high general human capital (education and IQ). Specific human capital, like domain-specific expertise, negatively moderated the AI-creativity relationship, as experts benefited less. In songwriting, AI use did not consistently improve creativity, suggesting task-specific limits of AI's impact. 💡 AI’s Role in Breaking Knowledge Barriers: The experiments highlight how generative AI transforms the value of expertise by reducing reliance on domain-specific knowledge. In songwriting, for instance, AI’s ability to synthesize diverse information outperformed the narrower focus of experts, allowing novices to achieve comparable results. 🎯 Implications for Task Design and Skill Development: The findings reveal that AI excels in tasks involving broad exploration and integration of ideas, while its impact diminishes in emotionally nuanced or deeply specialized contexts, such as songwriting. Organizations can leverage AI most effectively by redesigning roles to emphasize strategic oversight and integration rather than routine expertise. 🔄 Cognitive Ownership and Engagement Dynamics: AI use decreased participants’ psychological ownership of their creative work, potentially undermining intrinsic motivation. However, it boosted creative self-efficacy, particularly for novices, empowering them to engage in tasks they might have avoided due to perceived skill gaps.

𝐂𝐚𝐧 𝐀𝐈 𝐄𝐜𝐥𝐢𝐩𝐬𝐞 𝐇𝐮𝐦𝐚𝐧 𝐂𝐫𝐞𝐚𝐭𝐢𝐯𝐢𝐭𝐲? 🎨 I've been closely watching the evolution of artificial intelligence (AI) and its expanding role in our daily lives. From simplifying mundane tasks to performing complex calculations at speeds and accuracies far beyond human capability, AI's potential seems limitless. But as it ventures into realms traditionally reserved for human intuition and creativity, particularly art, it begs the question: Can AI truly emulate, or even surpass, the artist's touch? AI's foray into the arts has been both fascinating and controversial. We've seen algorithms compose music that stirs emotion, generate paintings that captivate viewers, and write poetry that touches the soul. These developments challenge our preconceived notions of creativity as a uniquely human attribute. AI-generated art raises profound questions about the nature of creativity and the value we place on human versus machine-generated works. On one side of the canvas, AI's ability to learn from vast datasets and generate art based on learned patterns offers exciting possibilities. AI can introduce us to new styles and perspectives, pushing the boundaries of traditional art forms. It democratizes creativity, offering tools for those without formal training to express themselves in novel ways. However, art is not just about the end product but also the process—infused with personal experiences, emotions, and the artist's unique touch. Critics argue that while AI can mimic these elements, it lacks the consciousness to infuse its creations with genuine emotion or to understand the context behind its works. Moreover, the intersection of AI and art sparks a debate on originality and copyright, challenging our legal frameworks and ethical standards. As AI-generated art becomes more prevalent, determining the line between inspiration and infringement, or defining authorship, becomes increasingly complex. The fusion of AI and art is not a question of replacement but of collaboration. By combining AI's computational power with human creativity, we can unlock new forms of expression and explore uncharted artistic territories. This partnership could redefine art, expanding our understanding of creativity beyond human limitations. As we navigate this new landscape, it's crucial to foster discussions that consider both the technological possibilities and the ethical implications of AI in art. Embracing AI's potential while honoring the human spirit that breathes life into art will ensure that this digital renaissance enriches our cultural tapestry. What are your thoughts on AI's role in the future of art? Can machines ever truly possess the soul of an artist, or will they remain powerful tools in the hands of human creators? #ai #genai #innovation #artificialintelligence #generativeai

The conversation around AI in Hollywood is shifting fast – and how it gets built matters more than ever. I work closely with leaders across studios, streaming platforms and global franchises. Media and entertainment companies need to create more content, faster, while staying true to their brand and IP. And they need partners who honor the craft, nuance and authenticity that define great creative work. The stakes are high. Demand for content is rising while timelines are shrinking. And no studio, streamer or franchise can afford to sacrifice the originality that sets their work apart, whether they’re expanding beloved characters and franchises or creating stories that are entirely new. Studios want to partner with companies that share their commitment to the integrity of their IP – companies that truly understand creativity, how it scales and what it takes to protect it. For decades, Adobe technology has been at the center of how films get made. Our tools have earned multiple Academy Awards for scientific and technical achievement, and filmmakers have relied on them to cut, shape and finish their own award-winning films. We understand firsthand what’s at stake in the day-to-day realities of production. The director who needs a reshoot while lead actors are halfway around the world. The animator who must maintain character consistency across hundreds of shots in a single series. The studio launching a franchise film across dozens of markets and languages, with every asset needing to stay true to their brand. That's exactly why we built Adobe Firefly Foundry. Foundry enables media and entertainment companies to build and train custom AI models on their own IP. Their characters. Their worlds. Their visual language. Teams can maintain character consistency in pre-visualization, generate hundreds of thousands of on-brand assets quickly and compress the timeline from concepting through post-production. Every output across image, video and audio stays aligned to their story's creative identity. It also gives studios something just as important: the ability to collaborate with creators thoughtfully while expanding access to their IP. This means that as they scale, studios still protect their actors, their characters and the integrity of their work. Creativity is too important to be a side bet. At Adobe, we're deepening four decades of partnership with the creative industry and working hand-in-hand with creators, studios and media organizations to shape what comes next. Really excited about what the next forty years of storytelling will bring. https://lnkd.in/gy6cr942

I just published a new, members-only analysis on Water & Music on one of the hottest and most complex topics in the music business right now: Music AI content and copyright detection. When it comes to the value of music AI, data is like oil — and rights holders are determined to control the pumps. Over 350 music industry organizations have signed ethics statements on music AI, emphasizing the importance of data transparency and artist consent in the model training process. Meanwhile, lawsuits and cease-and-desist letters against music AI startups are piling up, involving every major rights holder. The next six months will define the future of the music business, as we move beyond philosophical and ethical debates to practical solutions for IP protection in an AI-led market. In my analysis, I break down: - How each step of the music AI detection supply chain works, from auditing training data for copyrights to detecting AI-generated deepfakes. - Who the key players are at each stage, and how their detection models work. - Why these developments matter for the future of music, and have a direct tie to the latest lawsuits against Suno and Udio. This piece was several weeks in the making — involving background conversations with several kind people at Audible Magic, BMAT Music Innovators, Pex, Deezer Research, MatchTune, Ircam amplify, and more, along with meticulous fact-checking and research help from my team (Yung Spielburg & Alex Flores). While my resulting analysis only scratches the surface on the topic from a technical and legal standpoint, I'm quite proud of how it turned out, and I hope it helps you make sense of an otherwise quite complex and noisy landscape. Let me know what you think in the comments! 😊 #music #musicindustry #musicai #copyright #legal #ai #futureofmusic https://lnkd.in/eaMB4AQm

As a CMO, one of my top priorities right now is working out what role AI will play in our marketing work at Google. In my experience, Creatives are always the first to play with new tools, and AI is the most exciting sandbox yet. I believe this moment could be a fundamental shift in how we create, allowing us to have impossible ideas and to do things we never could before. While it is still early days, we are already seeing AI revolutionise our workflows, whether it's saving us countless hours storyboarding with ImageFX, or generating 300 variations in one day of our Best Phones Forever spots, using AI to generate copy and visuals. AI can help us do creative testing way faster, or respond to a brief with lots of ideas (or help us organise all the ideas we had but never shipped). Building a culture of experimentation on my team has always been a top priority. Now everyone, regardless of their role on the team, can make things and bring their ideas to life. And the most important part is that humans are in control. We are still the ones calling the shots and making sure that the final work we put out into the world meets our high bar. AI just helps us get there faster, bolder, and with more fun toys along the way. Exciting times! I really enjoyed chatting with Fast Company and Jeff Beer about how my team is harnessing #AI across every stage of the creative process, from ideation to creation. Check out our full conversation & let me know how you’re using AI in your creative process: https://lnkd.in/gxvv2UBD

Most coaches & consultants don’t have a time problem. They have a systems problem. AI doesn’t fix chaos. It scales whatever system you already have. Here are 5 AI tools that actually plug into your daily workflow (with real use-cases): 1. ChatGPT: Use it to think, not just write. Daily integration: Pre-call: Generate 5 sharp questions based on client background Post-call: Convert notes into insights and next steps Sales: Practice objection handling before discovery calls Example: “Here are my client notes → identify blind spots and suggest 3 tough questions for next session.” 2. Notion AI :Your second brain for client delivery. How to use: Create client dashboards with auto summaries Maintain SOPs for your programs Turn session transcripts into insights + next steps Example: Upload session notes → “Summarize key breakthroughs + assign action items” Your client gets clarity instantly. 3. Descript: Content creation without the headache. How to use: Edit podcasts/videos by editing text Remove filler words automatically Repurpose long-form content into shorts Example: Record a 20-min coaching insight → Cut it into 5 LinkedIn videos + 10 reels in under an hour. 4. Otter.ai.: Never miss what your client actually said. Daily integration: Record and transcribe coaching calls Highlight key patterns across sessions Build a repository of client insights over time Example: Spot recurring phrases like “I feel stuck” and use that language in your next session to go deeper. 5. Make: Where everything connects. Daily integration: Auto-send session summaries after calls Connect forms to CRM, email, and task managers Build end-to-end onboarding flows Example: Client fills a form, gets a calendar link, books a call, receives a prep doc, and you get a summary. All automated. Here’s the shift most people miss: Don’t ask, “Which AI tool should I use?” Ask, “Which part of my workflow is still manual?” That’s where AI fits. Because the goal isn’t to use more tools. It’s to free up more thinking time. What’s one task in your workflow you’d love to automate right now?

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"

I wasted months switching between AI tools...😐 Until I realized I didn't need a better AI. I needed a better AI workflow.🙌 Like many designers, I kept asking: "Which AI tool should I use?" ChatGPT ? Claude ? Claude Code ? Figma AI? I was searching for the one tool that could do everything. It doesn't exist. After months of experimenting, failing, and refining my workflow, I realized something that completely changed how I work: Every AI tool has a different superpower.🚀 Once I stopped comparing them and started combining them, my productivity and more importantly, the quality of my thinking improved dramatically. Here's the AI stack I'm currently exploring in my design workflow: 🧠 Claude → UX strategy, PRDs, user flows & design critique 💬 ChatGPT → Brainstorming, UX writing & creative exploration 🎨 Figma AI → Wireframes, UI generation & rapid iterations ⚡ Raycast → Everyday productivity & AI shortcuts 💻 Claude Code → Turning designs into production-ready code with developers 🧩 zeroheight → Design systems & documentation 🚀 Lovable → Build and validate MVPs in hours 🤖 n8n → Automate repetitive design workflows with AI agents The biggest lesson? AI won't make you a better designer by itself. But the right combination of AI tools can help you: - Think deeper. - Design faster. - Collaborate better. - Ship with more confidence. We're entering an era where knowing how to orchestrate AI tools may become as valuable as knowing Figma itself. 👏 I'm still learning, experimenting, and changing my workflow almost every week. This isn't the "perfect stack."🌱 It's simply the one that's helping me become a better product designer today. 👇 Which AI tool has genuinely changed your design workflow? I'd love to discover a few more. #uxdesign #productdesign #figma #claude #chatgpt #artificialintelligence #aidesign #designsystems #designworkflow #productdesigner #uidesign #futureofwork #designcommunity #learninginpublic #generativeai #uiux #aitools #ai #aidesigns #aiera #designercommunity #juniordesigners ##learning #designers #community #linkedin #creators

He sold two tech companies before the age of 16. Today, he runs a $1.5B AI startup reshaping online shopping. John Imah is a Nigerian immigrant and self-taught builder whose story doesn’t follow the usual Silicon Valley script. He didn’t come through elite networks or polished pipelines. He learned by building early, obsessively, and repeatedly. As a teenager, he taught himself to code and went on to sell two technology companies before most people have chosen a university major. Instead of treating that as a finish line, he treated it as a foundation. He went on to work at Snapchat, Twitch, and Meta, where he deepened his understanding of platforms, user behavior, and what it actually takes to scale products used by millions. That mix of early entrepreneurship and big-tech exposure led him to a very specific insight: one of the biggest problems in online retail hasn’t been solved by branding, logistics, or marketing. It’s trust. More specifically, the inability for shoppers to truly know how something will fit them. That insight became SpreeAI. SpreeAI uses photorealistic AI try-on technology that allows shoppers to see clothing on their own bodies from a single photo, with up to 99% sizing accuracy. For consumers, it removes guesswork and frustration. For brands, it dramatically reduces returns, lowers costs, improves conversion rates, and tackles a major sustainability challenge in fashion. Backed by nearly $60M and valued at $1.5B in 2025, SpreeAI is a rare example of AI solving a real, global commerce problem at scale. John’s journey has been consistent. Early curiosity became experimentation then products and, eventually, companies. This is often what real leadership and innovation look like. Not chasing the next trend, but staying close to a problem long enough to understand it deeply and then building something that actually changes how people experience the world. What problem have you been circling for years, even as your tools, roles, and titles have evolved? Time to strike yet? #Leadership #Entrepreneurship #Nigeria #OurStories #ArtificialIntelligence #Retail #AfricanFounders #Storytelling Cc: The Numbers Game