How to Balance Technology and Human Creativity

AI can not just augment, but increase human creativity. Two recent extensive empirical studies on Humans + AI creativity yield a number of important lessons and insights. 🧭 Iteration doesn’t self-improve Across 10 rounds, human–GenAI pairs didn’t become more creative just by repeating the cycle. “More rounds” isn’t a strategy by itself. Creativity improved only when people were explicitly pushed into co-development behaviours (critique + refinement) rather than defaulting to fresh generation each time. 🛠️ Co-development is the real engine The strongest gains came from treating AI as a partner for sharpening an idea - stress-testing, reframing, combining, and tightening - not generating endless options. If you want creativity to rise over time, design the workflow so refinement is unavoidable. 🔁 Galleries beat blank prompts In a study of over 800 people, simply exposing them to “galleries of examples” increased engagement and led to better-quality outcomes. The intervention wasn’t “smarter prompting,” it was changing the interaction pattern so people could browse, compare, and build. 👀 Attention is impact, not just edits Simply viewing AI suggestions can influence the creative process even before any copying or modification happens. Action-based metrics alone undercount value. Evaluation should include attention measures, especially time spent reviewing suggestion galleries, to capture the cognitive engagement that’s driving outcomes. 🧩 Different people need different AI “shapes” The value of one generation strategy (e.g., AI generated vs random suggestions) varies based on the designer’s approach, and that approach can change mid-process. Static “one-size AI assistance” will underperform compared to systems that adapt to the user’s current mode. 🕰️ Don’t promise time savings Galleries increased engagement and led to longer sessions, and those longer sessions produced better outcomes. The win is quality, not speed. Treat these tools as creativity amplifiers, not efficiency hacks. Here is a repeatable Humans + AI creativity process directly derived from the research that you can implement: 1️⃣ Scan a shared gallery of AI suggestions/examples before prompting from scratch. 2️⃣ Select and lock 1–2 candidate ideas to refine instead of generating more. 3️⃣ Run 2–3 co-development passes: critique → strengthen → rewrite the same idea. 4️⃣ Re-open the gallery to compare, recombine, and upgrade the refined version. 5️⃣ Track time spent viewing suggestions and the ratio of refining to generating. 6️⃣ Repeat this cadence regularly and optimize for quality over speed.

Designers are going to be replaced, but not by AI. They're being replaced by the designers using AI. Here's what I'm seeing: → Half the design community is panicking about AI taking their jobs. → The other half is trying to use it for everything and getting frustrated with mediocre results. Both groups are missing the point. I spent the last couple of years finding new ways to leverage AI in my design workflow—from research and rapid concepting to iteration and copy refinement. Some attempts were game-changing. Others were complete disasters. The breakthrough was when I stopped asking "Can AI do this?" and started asking "Should AI do this?" AI can either amplify your creativity or replace it—the key is distinguishing what needs to stay human from what can be enhanced by AI. Here's the partnership model that's transformed how our team works: AI excels at: → Ideation volume: Generate 50 layout variations in minutes → Content creation: Draft copy, headlines, microcopy at scale → Asset production: Icons, illustrations, stock photo alternatives → Pattern recognition: Analyze user data for insights → Repetitive tasks: Resizing, formatting, batch operations Humans excel at: → Strategic thinking: Understanding business context and user needs → Emotional intelligence: Crafting experiences that resonate deeply → Judgment calls: Knowing when to break conventions → Stakeholder dynamics: Reading the room, building consensus → Quality curation: Distinguishing good ideas from great ones Perfecting the human+AI partnership: 1. 𝗟𝗲𝘁 𝗔𝗜 𝗵𝗮𝗻𝗱𝗹𝗲 𝘁𝗵𝗲 𝘃𝗼𝗹𝘂𝗺𝗲 𝘄𝗵𝗶𝗹𝗲 𝘆𝗼𝘂 𝗵𝗮𝗻𝗱𝗹𝗲 𝘁𝗵𝗲 𝘃𝗶𝘀𝗶𝗼𝗻. Start with AI for rapid iteration, then apply human judgment to select and refine. 2. 𝗨𝘀𝗲 𝗔𝗜 𝗳𝗼𝗿 𝗱𝗶𝘃𝗲𝗿𝗴𝗲𝗻𝘁 𝘁𝗵𝗶𝗻𝗸𝗶𝗻𝗴 𝗮𝗻𝗱 𝗵𝘂𝗺𝗮𝗻𝘀 𝗳𝗼𝗿 𝗰𝗼𝗻𝘃𝗲𝗿𝗴𝗲𝗻𝘁 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻𝘀. Let AI explore possibilities you wouldn't consider. Use human intuition to choose the right direction. 3. 𝗨𝘀𝗲 𝗔𝗜 𝘁𝗼 𝗮𝗰𝗰𝗲𝗹𝗲𝗿𝗮𝘁𝗲 𝗲𝘅𝗲𝗰𝘂𝘁𝗶𝗼𝗻 𝘄𝗵𝗶𝗹𝗲 𝗵𝘂𝗺𝗮𝗻𝘀 𝗱𝗲𝗳𝗶𝗻𝗲 𝗾𝘂𝗮𝗹𝗶𝘁𝘆. Speed up the creation process, but never skip the critical evaluation phase. 4. 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗲 𝘁𝗵𝗲 𝗽𝗿𝗲𝗱𝗶𝗰𝘁𝗮𝗯𝗹𝗲, 𝗽𝗲𝗿𝘀𝗼𝗻𝗮𝗹𝗶𝘇𝗲 𝘁𝗵𝗲 𝗶𝗺𝗽𝗼𝗿𝘁𝗮𝗻𝘁. Use AI for templates and patterns. Reserve human creativity for moments that matter most. AI isn't a threat, nor is it a magic solution. Think of it as an enthusiastic design intern—incredibly fast, eager to help, but needs clear direction and oversight. How are you currently using AI in your design workflow? #uxdesign #ai ——— 👋 Hi, I’m Dane—I like to gush about UX and branding. ❤️ Found this helpful? Dropping a like would be 🔥. 🔄 Share to help others (or for easy access later). ➕ Follow for more like this delivered to your feed every day.

If your AI brainstorming starts with an AI prompt  such as “give me ideas about for X,” you’re limiting your imagination.  I learned this while working through IDEO U’s Human-Centered Design and AI certificate program, which keeps reminding me that AI only supports creativity when humans stay actively involved. To test this, I ran a small experiment tied to my design challenge: how can nonprofit professionals use AI to augment their thinking so their work becomes more strategic, creative, and human-centered? Here’s what happened. When I began with human-only ideation (my own brain or a brainstorming session with other humans), the ideas were grounded in mission, constraints, and real community needs. When I switched to AI with a clear creative direction to generate ideas, I asked for absurdity.  AI delivered: costume-based learning scenes, dramatic falling sequences, Play-Doh brains, even a human–AI tango. These weren’t solutions or a waste of time. They were creative provocations that loosened up the tight mental space we often operate within. The best ideas emerged only after I cycled through several layers of human grounding, AI variation, and human synthesis. It felt like a club sandwich of thinking modes. Humans brought mission and ethics. AI widened the possibility space. Humans shaped meaning. The infographic (created in Nano Banana) shows the practices that made this work: 💡Begin with human insight. 💡Give AI a clear creative direction. 💡Separate idea expansion from idea selection. 💡Use reflective checkpoints. 💡Treat AI as a partner, not a replacement. This experiment makes me think that the real value of AI in nonprofit brainstorming is less about efficiency and more about expanding imagination. When humans guide the process, AI becomes a thought-partner for more human-centered creativity. What would open up in your work if your organization treated AI as a creative partner instead of a shortcut?

Generative AI's surprising truth: It's not replacing humans, but revealing our strengths.💪 Researchers at Goldman Sachs have been tracking the adoption of artificial intelligence by various industries. Joseph Briggs and Devesh K. found that although companies’ investments in AI have soared, as of June 2024, only 5% of U.S. businesses report using AI to produce goods or services. Adoption has understandably varied widely across industries. This may be because of the practical challenges of replacing jobs with generative AI. Research shows: ✅ AI excels in routine tasks, but struggles with nuance ✅ Human-AI collaboration outperforms solo AI efforts ✅ Contextual understanding requires human intuition 🤔 Reflect on this: 1️⃣ Where do you add unique value amidst AI-driven efficiency? 2️⃣ How can you leverage AI to amplify your creative potential? 3️⃣ What tasks require human empathy and judgment? 💡 Tips for leaders: 👉 Focus on high-touch, high-empathy work: Prioritize roles requiring human connection, emotional intelligence, and complex decision-making, such as counseling, coaching, or conflict resolution, where empathy and nuance trump AI's capabilities. 👉 Develop AI-augmented skills, not AI-replaced ones: Invest in training that complements AI, focusing on skills like creativity, critical thinking, and strategic problem-solving, enabling humans to work alongside AI, amplifying productivity and innovation. 👉 Cultivate diverse teams to balance AI biases: Assemble teams with diverse backgrounds, perspectives, and expertise to identify and mitigate AI biases, ensuring more accurate and inclusive outcomes, and fostering a culture of human-AI collaboration. By embracing AI's limitations, we: ✅ Unleash human creativity and problem-solving ✅ Foster collaboration, not competition ✅ Develop AI that complements human strengths The future of work is human-AI harmony, not replacement. Invest in skills that make you indispensable. #collaboration #futureofwork #coachingtips #ai

I had a very profound discussion with a couple of CHROs this week. As we all know, technological developments are suddenly emerging like bamboo after rain: fast, dense, and everywhere. But our minds as leaders aren’t “upgrading” at the same speed. So how do we ensure we’re matching our human minds with the rapid rise of new technologies? Here’s what came up in our conversation: 1️⃣. Start with self-awareness, not just upskilling. Before we plug humans into smarter systems, we need to help leaders understand how they think, process, decide, and react. Neuroscience-based self-awareness isn’t a “nice to have”. it’s foundational. Because if you don’t understand how your mind works, you’ll get swept up by how AI thinks for you. 2️⃣. Slow down the input. Sharpen the focus. AI gives us speed. But humans thrive on clarity. We need to get better at filtering, framing, and focusing, so we don’t drown in data while starving for insight. → Design systems that curate, not just flood. → Give leaders time to reflect, not just react. 3️⃣. Rewire how we define “value.” AI can handle the fast, scalable, repeatable work. But the human mind? That’s where empathy, ethics, and creativity live. What are we uniquely qualified to do? → Hold tension → Build trust → Navigate nuance → Ask better questions → Envision → Inspire 4️⃣. Build mental fitness like a core leadership skill. Just like AI models get trained and optimized, leaders need to treat mental resilience as mission-critical. Because when the system gets faster, it’s the human’s calm and composure, not just cognition, that will lead. So how do we marry human and machine? Not by trying to compete with AI, but by elevating what only humans can do - keep strengthening the human elements. How are you preparing your teams (or yourself) for this shift? Catherine ♻️ Repost to inspire more leaders 🔔 Hit the bell on my profile for leadership updates 📬 Newsletter: https://lnkd.in/g-AD5aEP

Ask le MAJ, they say... Well, Kevin Spangberg asked me how do we keep human creativity distinct from AI? AI predicts what's likely, not what's radical. That's the paradox we're living through. Generative AI accelerates creation and lowers every barrier to entry, but it produces without perspective. It has no lived experience to draw from, no stance toward the world. It optimizes toward the average because that's what prediction does, it finds patterns in what already exists. Human creativity works differently. It thrives on intentional deviation: the conscious choice to break a pattern and introduce something that shifts perception. As Kant showed us, aesthetic judgment is free from logic, utility or rules. Our taste is shaped by our social and personal trajectories. Our judgment formed through experience, not extracted from data. The real challenge isn't competing with AI on speed or scale. It's maintaining space for the radical, the unexpected, the genuinely new. When algorithms decide what deserves attention, through recommendation engines, engagement metrics, or our own over- reliance on generative tools, the space for true invention shrinks. I watch companies and teams navigate this tension. The ones who understand that AI handles the predictable so humans can pursue the radical are creating something genuinely new. The others make noise. So, I'm curious: If AI generates, how are you inventing?

“Use your brain first, Mom!” My 15-year-old called me out when I Googled “robot dance” to confirm what I already knew. He wasn’t wrong. That moment hit me hard—not just as a parent, but as a professional. We’ve become allergic to uncertainty. The second we don’t know something (with 100% confidence), we look it up on the internet. But here’s the thing: That brief, uncomfortable space between question and answer is where creativity lives.  It’s where new ideas thrive and where innovation is born. Tech has always brought trade-offs: → Computers helped us type, but we forgot how to hand write → GPS got us there faster, but cost us our sense of direction → Now, AI gives us answers instantly—but risks dulling our instincts The goal isn’t to reject tech. It’s to use it intentionally—and know when not to. The best leaders I know make space for uncertainty and thinking followed by smart checks. Here’s how I’m practicing: 🧠 Practice "think first" moments before reaching for devices—modeling that uncertainty isn't failure, it's a starting point ⚡ Create tech-free problem zones for complex challenges that benefit from sustained thinking 🎯 Teach teams (and teens) that comfort with uncertainty is a superpower, not a flaw How are you helping your teams (and kids) navigate this balance between human intelligence and artificial assistance?? #Leadership #InformedIntuition #Innovation #CriticalThinking #ParentingInTech

𝐇𝐮𝐦𝐚𝐧-𝐅𝐢𝐫𝐬𝐭 𝐋𝐞𝐚𝐝𝐞𝐫𝐬𝐡𝐢𝐩: 𝐀𝐥𝐢𝐠𝐧𝐢𝐧𝐠 𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧 𝐰𝐢𝐭𝐡 𝐏𝐞𝐨𝐩𝐥𝐞 𝐚𝐧𝐝 𝐏𝐮𝐫𝐩𝐨𝐬𝐞 “Human-first” means approaching innovation, AI, and enterprise transformation in a way that prioritizes people at the center of every decision. It’s about creating systems and processes that enhance human potential, while ensuring technology serves as an enabler of trust, clarity, and empowerment. By leveraging ACT (𝐀𝐥𝐢𝐠𝐧𝐦𝐞𝐧𝐭, 𝐂𝐥𝐚𝐫𝐢𝐭𝐲, 𝐓𝐫𝐚𝐧𝐬𝐩𝐚𝐫𝐞𝐧𝐜𝐲), this approach ensures that innovation is guided by leadership principles that respect, elevate, and embolden the workforce. 𝐀𝐩𝐩𝐥𝐲𝐢𝐧𝐠 𝐭𝐡𝐞 𝐀𝐂𝐓 𝐌𝐨𝐝𝐞𝐥 𝐭𝐨 𝐚 𝐇𝐮𝐦𝐚𝐧-𝐅𝐢𝐫𝐬𝐭 𝐀𝐩𝐩𝐫𝐨𝐚𝐜𝐡: 1. 𝐀𝐥𝐢𝐠𝐧𝐦𝐞𝐧𝐭: • Innovation must align with both individual and organizational goals. • Ensure AI and automation integrate seamlessly with workflows, enabling employees to do their best work by focusing on higher-value, creative tasks. • Align ethical and cultural values with technological progress to maintain trust and engagement across teams. 2. 𝐂𝐥𝐚𝐫𝐢𝐭𝐲: • Simplify the adoption of new technologies by making processes, roles, and AI capabilities clear and accessible. • Provide employees with clear paths for training and development, enabling them to confidently work alongside AI systems. • Communicate the “why” behind changes, ensuring everyone understands the vision and purpose of the innovation. 3. 𝐓𝐫𝐚𝐧𝐬𝐩𝐚𝐫𝐞𝐧𝐜𝐲: • Make AI systems explainable, visible, and accountable, building trust in their outputs and decisions. • Foster an open culture where employees can give feedback on how technology impacts their roles. • Create transparency in leadership, ensuring employees see how decisions about technology benefit them and the organization. 𝐄𝐧𝐚𝐛𝐥𝐞, 𝐄𝐦𝐩𝐨𝐰𝐞𝐫, 𝐄𝐦𝐛𝐨𝐥𝐝𝐞𝐧: • 𝐄𝐧𝐚𝐛𝐥𝐞: Provide employees with the right tools, frameworks, and training to embrace AI and innovation with confidence. • 𝐄𝐦𝐩𝐨𝐰𝐞𝐫: Let people take ownership of how technology integrates into their work, fostering creativity and innovation. • 𝐄𝐦𝐛𝐨𝐥𝐝𝐞𝐧: Create a culture where people feel supported and inspired to take risks, explore new ideas, and challenge the status quo. A human-first approach, guided by the ACT model, ensures that introducing new ideas, innovations, and AI systems strengthens the workforce rather than displacing it. It’s about crafting a path forward where leadership and technology serve as partners in empowering individuals and driving enterprise success. 𝗡𝗼𝘁𝗶𝗰𝗲: The views within any of my posts, are not those of my employer. 𝗟𝗶𝗸𝗲 👍 this? Feel free to reshare, repost, and join the conversation. #humanfirst #leadership #people Gartner Peer Experiences Forbes Technology Council Theia Institute™ VOCAL Council InsightJam.com Solutions Review PEX Network IgniteGTM

AI can predict outcomes, sure... but true innovation still comes from human creativity. Choose your brain wisely. Generative AI is shaking up marketing It can boost a marketer's creative performance by 40% save HOURS (if not days) and predict customer behaviour with pinpoint accuracy. Sounds like a dream, right? But here’s what everyone forgets: AI works with what it knows. It pulls from existing data, which means it can stifle originality. The risk? Content overload and a sea of sameness. So how do we keep innovation alive? By balancing the two brains: → Grow your 'left-AI brain' to master predictive tools and data-driven insights. → Protect your 'right-brain' talent to spark fresh, human ideas that AI can’t replicate. I’ve seen brands thrive by doing both. They train their teams to use AI for efficiency while empowering creatives to stay bold and original. AI is a powerful tool, but it’s not the source of innovation. That’s still human. How are you using AI to enhance - not replace - your creativity?

New content alert 📢 The conversation around AI often focuses on what it will replace. I believe the more powerful question is: what will it unleash in us? 🚀 As technology automates routine work, the true engine of business value is shifting to our most human qualities: deep creativity, emotional intelligence, and complex problem-solving. This isn't an abstract cultural shift; it's a design challenge. Our physical environments must become intentional incubators for these irreplaceable skills. The office is no longer just a place to complete tasks. It's where we must cultivate the human ingenuity that AI cannot mimic. In our latest JLL piece, we explore how to design for this new reality with three specific space types: 💡 The Idea Factory: A project-based environment built for the messy, brilliant work of long-term creative collaboration. 🔄 The Agile Studio: A dynamic homebase giving teams the autonomy to flow between focused thought and energetic group work. 🤝 The Immersive Pod: A high-tech space engineered to foster genuine connection and bridge the distance in a hybrid world. The future isn't about choosing between technology and people. It's about designing workplaces where technology serves to amplify our most essential human talents, creating a culture that AI can't replicate and a competitive edge that lasts. Curious to learn more? DM me for a copy of our latest report. ➡️