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#Wharton

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Transformación y Adopción Traducción verificada automáticamente

You will know that the AI labs believe in ASI when [they dissolve their forward deployed engineering teams]

Ethan Mollick's (Wharton) consistency test: we'll know AI labs truly believe in ASI the day they dissolve their *Forward Deployed Engineering* (FDE) teams. Public debate with roon (OpenAI) on LinkedIn: roon objects that this is a **hayekian problem** (intelligence does not automatically resolve organizational information flow) and revives the term "**Gentle singularity**". Consensus in the comments: technology is the easy part; internal politics / legacy workflows / contractual liability are the real bottleneck. Marker phrase: *"Curing cancer might be easier than replacing Accenture"*. Epistemic **East Coast vs West Coast** opposition on the trajectory of AI adoption.

#ASI (Artificial Super Intelligence)#Forward Deployed Engineering (FDE)#AI consulting

Ethan Mollick (professeur Wharton, auteur *Co-Intelligence*) — auteur du post ; roon (employé OpenAI, identité publique anonyme, voix influente du cercle accel) — interlocuteur cité ; commentateurs anonymes (praticiens, consultants, chercheurs).

Transformación y Adopción Traducción verificada automáticamente

Writing the AI-HR Playbook with Ethan Mollick

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"