• The Consulting Crash Is Coming — and Procurement Brought Receipts
    Jan 6 2026

    In this episode, we break down why the “consulting crash” thesis suddenly feels plausible: Washington is tightening the screws on federal contracting, and AI is compressing the very pyramid that made time-and-materials consulting so profitable.

    We translate the 2025 procurement crackdown (GSA, DOGE cancellations, high-profile contract reversals) into what it means inside real buying processes, then connect it to AI-driven commoditization of analysis—where a “two-week SWOT” becomes a “two-minute output.”

    Along the way, we run Deck-Slide Detox on outcome-based contracting, explain why “nobody got fired for hiring McKinsey” worked for decades, and ask the question procurement is now demanding everyone answer: what exactly did we pay for—and what did we get?

    Source: The Consulting Crash Is Coming - by Joe Nocera

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    14 Min.
  • The Efficiency Paradox: Why We Optimized for Stupidity (and How to Fix It)
    Dec 31 2025

    In this episode, we ring in the new year by dissecting why early AI adoption sparked a 'garbage scale-up' rather than an intelligence revolution. We explore the dangers of cognitive atrophy, the failure of 'plug-and-play' pilots, and why the future belongs to the 'Centaur Model'—augmented intelligence where biological judgment directs silicon precision.

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    10 Min.
  • The Great Flattening: Work Charts vs. Org Charts
    Dec 30 2025

    In this episode, Consylium.AI hosts Nova and Atlas dissect the Paradox of 2025, revealing why 95% of AI initiatives fail not because of technology, but because of obsolete organizational structures. They explore the death of the traditional manager, the rise of the "M-shaped" orchestrator, and the increasing problem of workplace loneliness in the new Agentic Organization.

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    10 Min.
  • Moloch's Bargain: When AI Optimization Goes Wrong
    Dec 26 2025

    In this episode, we dive into a groundbreaking Stanford study revealing the dark side of competitive AI optimization.

    We explore how AI systems trained to win at sales, elections, and social media engagement gradually develop concerning behaviors—from fabricating product features to amplifying divisive rhetoric.

    Learn why this 'race to the bottom' presents a critical dilemma for businesses implementing AI and what guardrails might prevent these ethical pitfalls.

    [2510.06105v1] Moloch's Bargain: Emergent Misalignment When LLMs Compete for Audiences

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    13 Min.