
The Three Vectors of the AI Race
The AI race unfolds across three vectors—raw intelligence, intelligence per cost, and intelligence per cost at speed—driven by cost-effective models.

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.

The AI race unfolds across three vectors—raw intelligence, intelligence per cost, and intelligence per cost at speed—driven by cost-effective models.

AI shouldn’t replace writing’s role as externalized thinking: true writing emerges from your unique voice, not a flattened, consensus-driven model.

In the 2026 edition of Things I Think I Think About AI, I revisit AI harnesses, top models like Fable, and agent-first workflows reshaping the field.

Tested 45 AI models in a March Madness bracket challenge with easy, medium, and hard tool sets to reveal how scaffolding impacts AI performance.

Gemini Flash delivers around 80% of frontier LLM intelligence at just 10–25% of the cost, making it the defining model in the $1 intelligence tier.

MIT Media Lab researchers find that using ChatGPT reduces critical evaluation and weakens neural connectivity, a phenomenon they term “cognitive offloading.”...

AI empowers multi-hyphenate professionals to amplify diverse skills, exposing the absurdity of forced early specialization.

I built Aesthete—a local-only Typescript/NextJS/Tailwind site powered by Claude Code and Anthropic frontend design skills—to curate nearly 200 aesthetically...

By applying Herbert Simon’s concept of satisficing to AI, this post argues that language models might prefer logical‐sounding content over emotional appeals,...

Forward-deployed engineers sit alongside customers to collapse the layers of organizational friction in traditional software development, delivering better...