creative-ai

4 items

Financial Times 2026-05-05-2

'It's crucial': how AI is reshaping the fragrance industry

Givaudan, Symrise, and dsm-firmenich spent eight years building proprietary ingredient databases with AI tooling now in production at the world's largest consumer brands, and they still trade on commodity-chemistry multiples. Moodify's ML-driven formulation compresses the canonical 18-month development cycle to three months at 30% lower cost; FoodPairing's digital consumer panels hit 77% accuracy against real panels — a direct shot at a $50B+ research industry that gets no equity-market scrutiny. The frontier-lab-doesn't-verticalize pattern is now four verticals deep and priced in nowhere.

Financial Times 2026-04-27-1

End of the road for the 'Mad Men' as AI moves into advertising

Ad agencies aren't being disrupted by AI. They're being disrupted by their own pricing model finally meeting a productivity shock that exposes it. Industry revenue is forecast to grow 7.1% to $1.1 trillion in 2026 while Publicis (the outperformer) is down 11% YTD, agency creative headcount fell 15% last year, and WPP and Omnicom are cutting thousands of jobs: revenue up, agency value down, agency labor down is the value-migration signature, not a cyclical contraction. The agencies that survive will look like Brandtech and not WPP, and the same input/output pricing collision is now coming for every services business that bills hours instead of outcomes.

The Guardian 2026-04-22-1

Why are respected film-makers suddenly embracing AI?

Every creative-tool revolution of the last thirty years — digital cameras, Auto-Tune, CG, stock photography, streaming — lowered the floor faster than it raised the ceiling; value accrued to platforms harvesting the output glut and to a shrinking tier of masters whose scarcity compounded. Generative AI repeats the pattern, with a twist: auteur adoption now functions as a cultural permission structure, giving studios reputational cover to degrade the mid-tier before the tool is actually good. The investable question isn't who builds the best creative AI; it's who owns the craft-provenance layer that lets the top tier monetize its scarcity.

The Intrinsic Perspective 2026-03-08-1

Bits In, Bits Out

Hoel argues writing is the canary domain for AI capability — 6 years in, LLMs produced efficiency gains and slop, not a quality revolution. The Amazon book data is compelling (average worse, top 100 unchanged), but the extrapolation from writing to all domains is structurally weak: verifiable domains like code and math behave differently from taste-dependent ones. Best articulation of the "tools not intelligence" thesis, but cherry-picks the hardest domain for AI to show measurable ceiling gains.