The AI Six
AI headlines and what's shifting for creative leaders this week
🟢 Organizational Intelligence Becomes the New AI-Era Priority — Rather than treating AI as an add-on productivity tool, companies are beginning to redesign workflows so humans and AI systems co-learn and co-decide. This shift—toward “organizational intelligence”—prioritizes alignment, shared context, and smarter decision-making across teams. As highlighted in the article, "The shift toward an AI-powered workplace requires leaders to enable organizational intelligence across the enterprise." (Fast Company, Nov. 20)
🔵 AI Doesn’t Equalize Creativity — Skill Still Drives Outcomes — New research tracking 400+ participants shows that people with higher baseline creativity and intelligence continue to outperform others even when using the same AI tools. For creative industries, this means AI amplifies talent rather than leveling it—expertise, style, and taste remain decisive. AI becomes a creative multiplier, not a democratizer, reinforcing the ongoing need to invest in human skill. (Implicator, Nov. 21)
🟡 The Creativity Clause: Why the Future of AI May Belong to Artists — This opinion piece argues that artists—not platforms—should shape how AI is built, trained, and governed. "Once again, creators are being told innovation must come before fairness." While AI lowers barriers for independent creators, it also risks concentrating power unless artists actively influence rules around consent, compensation, and cultural equity. The article frames this moment as a chance for creatives to co-author the future of AI. (AI Journal, Nov. 25)
🟩 AI Helps Decode the Neuroscience of Dance — Researchers used AI motion-capture analysis and neural modeling to study how the brain synchronizes movement, rhythm, emotion, and spatial awareness during dance. "The study also highlighted distinct differences between the two groups of participants. The brain activity of expert dancers was more accurately predicted by the dance features than that of the novices." (PsyPost, Nov 27)
🟠 Large-Language Models Will Never Be Intelligent, Expert Says — A recent opinion piece argues that LLMs (like those behind popular generative-AI tools) are fundamentally incapable of true intelligence, because language is not the same as thought. Even with more data and compute, LLMs remain “language emulators,” not reasoning machines. "Because LLMs are a probabilistic system, they reach a point where they are no longer capable of generating novel and unique outputs that aren’t nonsensical." (futurism.com, Nov. 28)
🟤 Data Centers Struggle With Heat as AI Demand Surges — As generative AI workloads explode, data centers worldwide are facing a cooling crisis, with traditional air systems failing under extreme power draw. Operators are now turning to liquid cooling and new energy-efficiency strategies to keep systems stable. For creative businesses relying on cloud-based AI tools, this highlights the physical and environmental limits behind the scenes—and the importance of sustainable infrastructure. (Reuters, Nov. 28)