Behind the Industry Machine

How platform economics select for different story-shapes—and why each “machine” behaves the way it does.

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Intro

Platform incentives don’t just decide what gets funded — they decide what kinds of stories are *possible* to make at scale, and what kinds of risks become illegible.

Replace this with your final prose. The sections below are keyed to the five “machines” in your JSON.

Behind the Netflix Machine

How subscription growth logic, global scale, and data-driven retention pressures shape story-form.

Incentive model

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Story-shape outcomes

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What would improve it

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Behind the HBO Machine

How prestige strategy, brand trust, and a narrower slate can change what “quality” means in practice.

Incentive model

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Story-shape outcomes

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What would improve it

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Behind the Amazon Machine

How a commerce ecosystem, bundling, and cross-subsidies create strange incentives for “content value.”

Incentive model

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Story-shape outcomes

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What would improve it

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Behind the Apple Machine

How hardware ecosystem goals, brand posture, and curated scarcity shape what stories get protected or softened.

Incentive model

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Story-shape outcomes

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What would improve it

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Behind the Paramount Machine

How legacy studio logic, cable-era economics, and IP dependency influence the kinds of bets that get made.

Incentive model

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Story-shape outcomes

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What would improve it

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