# ensarguet-beyond-brain-speed-economics-computation-2026-03-11

## Veille

End of the brain-hour as a unit of value, shift to the kilowatt-hour of intellectual work, economics of agentic computation - LinkedIn

## Titre Article

Beyond Brain Speed: The Economics of Computation

## Date

2026-03-11

## URL

https://www.linkedin.com/pulse/beyond-brain-speed-economics-computation-philippe-ensarguet-7bnpe/

## Keywords

computation economics, brain-hour, knowledge kilowatt-hour, token, time billing, outcome-based model, Jevons paradox, agentic AI, orchestration, execution commoditization, org chart, compute budget vs salaries

## Authors

Philippe Ensarguet

## Ton

Profile: technical-leader-and-strategist perspective, essayistic-analytical register, accessible level. Philippe Ensarguet writes with a powerful narrative style, opening with a striking anecdote (the consultant whose deliverable is replicated in 4 minutes by an agent) before developing an argument structured in five movements. The tone is that of a lucid observer who neither celebrates nor laments, but observes a structural transformation. The analogies are precise and evocative (candle/light bulb, kilowatt-hour, cloud/infrastructure). The author positions himself as a benevolent scout offering concrete courses of action. Personal register at times ("I just have a feeling"), balanced between macroeconomic vision and human implications. Target audience: executives, consultants, managers, HR.

## Pense-betes

- Opening anecdote: a consultant delivers 3 weeks of work, the client replicates it in 4 minutes with an agent, 1000x cheaper
- "Kilowatt-hour" moment of the knowledge economy: just as the light bulb ended the era of the candle, AI ends the brain-hour as a unit of value
- For decades, the knowledge economy ran on a proxy: time was paid for, not value, in the hope that results would follow
- Systemic distortion: slowness was rewarded (more time = more billing)
- Commoditization shock: just as the cloud commoditized infrastructure, generative AI commoditizes cognitive execution
- Jevons paradox: when execution cost falls to near zero, demand becomes infinite - 1000x more output is expected
- Signals already visible: budget lines are shifting from salary budgets to computing power budgets
- New value equation: Value = Computation Quality x Data Context x Orchestration Intelligence (multiplicative, not additive - if one factor is zero, everything collapses)
- First wave (generative AI): collapse of execution time (1/3 of project time)
- Second wave (agentic AI): tackles the remaining 2/3 (meetings, alignment, approvals, waiting, coordination)
- The second wave calls the org chart itself into question: coordination layers (project managers, integration leads, middle management) face the same pressure as execution roles
- The unit of work shifts from "a person assigned to a project" to "an outcome contracted to a system"
- Three new emerging human roles:
- Trajectory guardians: strategic alignment, ethics, direction
- Context shepherds: sector-specific nuance, client history, regulatory subtlety
- Trust architects: guardrails, validation, governance of autonomous systems
- Human intelligence incorporates values, emotions, culture, lived experience - no GPU replicates that
- Recommendations: experiment with outcome-based pricing, track the salary/compute spending ratio, organize the company around orchestration

## RésuméDe400mots

Philippe Ensarguet develops a strong thesis: we are living through the "kilowatt-hour moment" of the knowledge economy. Just as the light bulb ended the era of the candle, AI ends the brain-hour as a unit of economic value. He opens with a striking anecdote: a consultant delivers three weeks of work that the client replicates in four minutes with an agent, a thousand times cheaper.

For decades, the knowledge economy relied on a proxy: time was paid for (person-days, billable hours) in the hope that value would follow. This system created a systemic distortion in which slowness was rewarded. When an AI agent produces in a few minutes the code, the audit, or the report that used to justify several billable days, the very foundation of the model collapses. This is the commoditization shock of our generation, comparable to what the cloud did to infrastructure.

Ensarguet invokes the Jevons paradox: when execution cost falls to near zero, demand becomes infinite. We will not expect less work, but 1000 times more output. The signals are already there: budget lines are shifting from salaries to computing power. He proposes a new multiplicative value equation: Value = Computation Quality x Data Context x Orchestration Intelligence. If any one of the three factors is zero, total value collapses.

But execution represents only a third of project time. Agentic AI tackles the remaining two-thirds: meetings, alignment, approvals, coordination. This second wave calls the org chart itself into question. Coordination layers (project managers, middle management) face the same pressure as execution roles. The unit of work shifts from "a person assigned" to "an outcome contracted to a system".

Ensarguet identifies three emerging human roles: trajectory guardians (strategic and ethical alignment), context shepherds (sector-specific nuance, client history, regulatory subtlety that models cannot learn on their own), and trust architects (guardrails, governance of autonomous systems). Human intelligence, which incorporates values, emotions, culture, and lived experience, remains irreducible.

In conclusion, he recommends three actions: experimenting with outcome-based pricing now, tracking the salary-to-compute spending ratio as a strategic indicator, and reorganizing the company around human-agent orchestration.

## GrapheDeConnaissance

- Philippe Ensarguet —affirme_que→ heure-cerveau n'est plus unite de valeur (AFFIRMATION, 0.97)
- IA générative —réduit→ cout de l'execution cognitive (CONCEPT, 0.95)
- IA agentique —s_applique_à→ coordination et orchestration (CONCEPT, 0.92)
- moment kilowatt-heure —observé_dans→ economie de la connaissance (CONCEPT, 0.9)
- modele outcome-based —remplace→ Modele jours-homme (CONCEPT, 0.88)
- Paradoxe de Jevons —prédit→ demande infinie quand cout execution tend vers zero (AFFIRMATION, 0.9)
- Valeur computation —est_basé_sur→ qualite compute x contexte donnees x orchestration (CONCEPT, 0.92)
- IA agentique —s_oppose_à→ organigramme et middle management (CONCEPT, 0.88)
- budgets puissance de calcul —remplace→ Budgets salariaux (CONCEPT, 0.85)
- Token —remplace→ heure comme unite de facturation (CONCEPT, 0.85)
- Gardien de trajectoire —permet→ alignement strategique et ethique (CONCEPT, 0.88)
- Berger de contexte —permet→ nuance sectorielle et historique client (CONCEPT, 0.88)
- Architecte de confiance —a_créé→ guardrails et gouvernance systemes autonomes (CONCEPT, 0.88)

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Canonical: https://www.thekb.eu/en/fiches/ensarguet-beyond-brain-speed-economics-computation-2026-03-11/