In-depth op-ed published on **sfeir.com** on August 1, 2026, authored by **SFEIR** (the firm's editorial voice). It brings together **two July 2026 publications** with opposite methodologies — the preregistered field experiment **"The Cybernetic Teammate"** at **Procter & Gamble** (Dell'Acqua, Ayoubi, Lifshitz, Sadun, **Ethan Mollick** et al., *Organization Science* 37(4), 2026) and the first report in **OpenAI Economic Research**'s **"Work at the Frontier"** series (Jul. 27, 2026, >800,000 messages from US ChatGPT users) — into a single thesis: *"generative AI doesn't just speed up existing work, it redistributes who does what."* The architecture unfolds in four stages: **the mechanism** (P&G: AI acts as a *boundary-spanning* device, erasing functional silos — an individual + AI reaches the level of a pair without AI, **+0.37 σ**), **the scale** (OpenAI: **43.5%** of profession-specific messages fall outside the user's own profession), **the agenda** (Mollick: the walls are thinning, the division of labor must be rethought, and well-orchestrated recomposition "pays off handsomely"), then **the firm's response** — **Skill Based Organisation (SBO)**, adopted at SFEIR under the impetus of **Rosalie Zandona** (VP People & Culture): **actually operational skill** replaces the job description as the unit of organization (**up to 13 skills identified per role**), shifting from a **status-based identity** ("I am a manager") to an **operational identity** ("I know how to design complex architectures"). The rhetorical move is proof by internal example: *"we made the shift in-house before recommending it."* **Three caveats are noted**: the SBO shift dates back to **February 2026**, hence *predating* the diagnosis it is supposed to resolve (the argumentative order reverses the chronological order); **nothing in the data demonstrates** that a skill-based organization absorbs crossover better than a role-based one (an untested design hypothesis); the P&G result has been circulating **since March 2025** (NBER w33641) — the "a few weeks earlier" applies to the peer-reviewed publication, not to the result itself.
#Skill Based Organisation#SBO#skill-based organization
**SFEIR** — ESN française « AI Only » (~850 ingénieurs, 8 agences France & Benelux). Voix éditoriale du cabinet (byline « SFEIR »).
Case study published by the **Cornell AI Innovation Hub** (June 15, 2026): how a two-semester collaboration between the AI Hub, graduate students, and Cornell's Treasury team turned a time-consuming manual investigation into an AI tool that **recovered $100,000** in unidentified payments on a first batch. A successful **AI4Business** use case (financial process) that illustrates the **Leader-Lab-Crowd** framework of **Ethan Mollick** almost point by point: the **AI Hub** plays the role of the **Lab** (a central, ambidextrous team of technologists plus students); **Treasury** (Cheryl Barnes, Marie Graves…) is the **Crowd** carrying business knowledge and the real pain point; and the **$100,000** constitutes the **visible reward** (vivid win) that anchors adoption — exactly the incentive lever Mollick considers decisive. Key method: **"context first, then plan, then build"** via **Claude Code Plan Mode**, a chain of **fuzzy matching → Gemini Enterprise Web Search → Claude synthesis**, all within the governed **Cornell AI Gateway**. *"The $100,000 is a start."*
#Cornell AI Innovation Hub#unidentified payments#payment reconciliation
**Pete Stergion** — Desktop Engineer au Cornell AI Innovation Hub · co-tech lead du projet (avec Phil Williammee). Article institutionnel signé de l'AI Hub.
Valence summary of the virtual summit "AI & the Workforce: The Adoption Gap": Ethan Mollick lays out the Leader-Lab-Crowd framework, coins "HR is R&D now," and argues that the AI "shadow economy" and the collapse of the apprenticeship model force CHROs to become the architects of the transformation. Five actionable experiments for writing the AI-HR playbook.
#HR is R&D now#Leader Lab Crowd framework#Ethan Mollick
Alex McMurray (Valence) — synthèse de l'intervention de Ethan Mollick au sommet Valence "AI & the Workforce: The Adoption Gap"