Noah Brier is the co-founder of Alephic, an AI-first consultancy tackling marketing's most complex challenges, and the driving force behind BRXND.ai, an organization pushing the boundaries of how artificial intelligence reshapes marketing and brand strategy. Previously, Noah co-founded Percolate, a pioneering content marketing platform serving giants like Unilever and GE, which was acquired by Seismic in 2019. His career, spanning journalism, creative leadership, and entrepreneurship, has consistently focused on the intersection of marketing and technology. Recognized as one of Fast Company's most creative people in business, Noah's insights reach thousands through his daily newsletter, "Why Is This Interesting?", and his writing in publications like AdAge and Fast Company.
MIT Media Lab researchers find that using ChatGPT reduces critical evaluation and weakens neural connectivity, a phenomenon they term “cognitive offloading.” But like writing, calculators, and GPS before it, every tool that eases our mental load also extends our capabilities in new ways.
AI empowers multi-hyphenate professionals to amplify diverse skills, exposing the absurdity of forced early specialization. Now is the perfect moment for “weirdos”—those with hyphens—to thrive in small companies willing to break rigid corporate molds.
I built Aesthete—a local-only Typescript/NextJS/Tailwind site powered by Claude Code and Anthropic frontend design skills—to curate nearly 200 aesthetically satisfying brands, showcasing how “software for one” can turn ideas into polished, interactive experiences almost instantly.
By applying Herbert Simon’s concept of satisficing to AI, this post argues that language models might prefer logical‐sounding content over emotional appeals, mirroring human biases but inverted. It unveils a paradox: humans use emotion to decide rationally, while LLMs use pseudo‐rational style to appear helpful.
Forward-deployed engineers sit alongside customers to collapse the layers of organizational friction in traditional software development, delivering better quality solutions faster and at lower cost. Fueled by AI, this model breaks the classic ‘good, fast, cheap—choose two’ trade-off and reshapes how enterprises solve problems.
Reflecting on three years of AI adoption, this talk emphasizes that transformative technologies like transformers are still in their infancy, requiring hands-on exploration and healthy skepticism toward confident predictions. It argues that AI acts more as a mirror—revealing our own organizational patterns and biases—than a crystal ball for the future.
Claude Code combines a terminal-based Unix command interface with filesystem access to give LLMs persistent memory and seamless tool chaining, transforming it into a powerful agentic operating system for coding and note-taking. Its simple, composable approach offers a blueprint for reliable AI agents that leverage the Unix philosophy rather than complex multi-agent architectures.
Noah distills his 2,400+ hours of AI use into a candid, unordered list of 29 controversial takeaways—from championing ChatGPT’s advanced models and token maximalism to predicting enterprise adoption bottlenecks—and invites fellow practitioners to discuss. CMOs can reach out to Alephic for expert guidance on integrating AI into their marketing organizations.
The AI revolution will be dictated by three physical constraints—compute packaging capacity, energy availability, and organizational agility—that concentrate power in gravity wells. Whoever controls these choke points, not merely the best models, will shape the next decade of AI.
As AI becomes the default starting point for every task, CEOs from IBM to Shopify are issuing mandates that range from theatrical pronouncements to enforceable operating frameworks. This post decodes these moves in a 2×2 matrix—Peacocks, Stagecraft, Bettors, and Executors—to help you spot who’s driving real transformation and who’s just playing to the crowd.