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Season 7—Spring 2026  ·  11 episodes  ·  Through-line: the human architecture of institutional change
Season 7 ideation · S7E4

Cheap Prediction, Expensive Change

Avi Goldfarb argues AI is not magic labor replacement so much as cheaper prediction: filling in missing information at scale. That reframing moves teams from debating benchmarks toward economics: complements like compute, scarce data, and human judgment appreciate when forecasts commoditize. The upside hides in system solutions that reorganize power inside firms, which is why adoption stalls even when models work.

Guest Avi Goldfarb
Episode S7E4 · Invisible Machines
Cluster Prediction economics · 2 pieces
Cheap Prediction, Expensive Change · Avi Goldfarb · Invisible Machines
Originating episode  ·  S7E4  ·  Avi Goldfarb
Avi Goldfarb  ·  Economist; Co-author, Prediction Machines & Power and Prediction
Cheap Prediction, Expensive Change · Invisible Machines
From the episode breakdown  ·  Josh Tyson

Goldfarb’s frame helps leaders separate theater from transformation: point solutions slide into slide decks because they preserve workflow and hierarchy; system solutions rewrite what your organization sells and who matters inside it.

The insurance vignette is not sector trivia—it is a generic story about power centers (underwriting versus marketing versus claims) refusing the same spreadsheet conclusion.

This cluster pairs the episode (video + transcript) with the UXM companion essay. From here, Jennifer Pahlka’s friction-at-the-seams diagnosis and Marina Nitze’s crisis windows land as adjacent lenses on institutional refusal.

—Josh Tyson, Contributing Editor
Everything in this Ideation  ·  2 pieces
1
Episode  ·  Invisible Machines

Cheap Prediction, Expensive Change

Josh Tyson and Robb Wilson with Avi Goldfarb on prediction economics, complements when forecasts commoditize, point versus system adoption, insurance power centers, disruption timing, and why generative AI rhymes with earlier waves like cheap search.

Avi Goldfarb  ·  S7E4 Recorded 2023 · shipped 2026 Free · watch & read
2
UXM Article

Cheap Prediction, Expensive Change

Companion essay: cheap prediction, expensive organizational change, and why internal politics—not model accuracy—often gates system-level wins.

UX Magazine Staff 8 min read Free to read
Season 7 ideations · Draft placeholders

Five Season 7 ideation clusters above are live with episode media and companion artifacts. Additional Season 7 placeholders below ship when each narrative locks.

Placeholder · review next
S7E3

What ‘Cheap Prediction’ Means for Enterprise

Joshua Gans · Economist, Co-author of Prediction Machines
Ideation tag (draft): TBD ("Ideation in progress" on podcast mockup)

[Placeholder] Drop in episode artwork/video ID, hero media card, and practitioner connectors after production.

Listener hook (draft): Prediction economics translated for people who own roadmaps, budgets, and risk.

Placeholder · review next
S7E2

Scaled AI Requires Canonical Truth

Joe DosSantos · VP Data & Analytics, Workday
Ideation tag (draft): Canonical Truth

[Placeholder] Link out to standalone Canonical Truth ideation page when you split clusters; keep this row as summary or redirect card.

Listener hook (draft): Without canonical truth, enterprise AI scales confusion—not automation.

Placeholder · review next
S7E1 · Season premiere

Ben Goertzel on the Decentralization of AI

Ben Goertzel · CEO, SingularityNET
Ideation tag (draft): TBD ("Ideation in progress" on podcast mockup)

[Placeholder] Premiere episode cluster—decide whether ideation opens Season 7 landing narrative or stays episodic.

Listener hook (draft): AGI, decentralization, and the incentive geometry behind who controls capability.

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The Conversation

3 responses  ·  curated for this cluster

Early commentary on complements versus commodities, point pilots versus system redesign, and whether insurers are the canary for every legacy workflow AI touches.

JT
Josh Tyson
Contributing Editor, UX Magazine

If your roadmap only buys complements that vendors ship (tokens, seats, foundation APIs) but never retrains internal judgment and incentives, you are renting cheaper prediction inside an unchanged org chart.

May 2026 · Editorial note echo
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