A thought, 03 August 2026

The value of work is information in motion.

A small theory of how energy, time, and information become value, and why the scarce resource is moving from execution to insight.

Model
J-I-T
Built from
Energy, Information, Time
Format
Essay and visualizer
01

A model for the work underneath the work

The claim is simple: time is not equally valuable when different amounts of information pass through it.

Every useful activity spends energy over time. But the output is not determined by effort alone. A physical movement can be precise or wasteful; a thought can repeat a protocol or change the shape of a system. Information is the difference: it reduces entropy, concentrates effort, and turns a finite hour into something rarer.

This is the intuition behind the J-I-T model. It treats money or economic value as the visible output of three convertible flows: a base of energy, a duration of work, and the information carried by that work. The model does not pretend to price a person or explain an entire market. It is a lens for seeing why two people can spend the same eight hours and leave behind radically different amounts of leverage.

The core equation

A = J × [(Tp × Ip) + (Ti × Ii)]

Value is energy multiplied by physical time made precise and intellectual time made rare.

01

Energy and money

Wealth requires a force or transformation of energy, directly or indirectly. J is the system's raw capacity to act.

02

Time is finite

The same finite resource can be deployed as Tp, physical execution, or Ti, reflection and cognitive load.

03

Information dilates time

Intellectual time is not merely chronological. Acquiring and processing data can magnify what a short interval is able to do.

04

Information is a catalyst

I reduces wasted motion and multiplies the intrinsic value of energy and time. It is the model's entropy-reducing operator.

02

Four kinds of work

Change the nature of time, then change the density of information inside it.

more intellectual time up
Q3

Intellectual flow

J × Ti

Secretary, data entry, telesales. Cognitive work on standardised, automatable protocols.
Q4

High-value intellectual

J × (Ti × Ii)

Strategy, market finance, political direction, fund management, arbitrage. Rare information with systemic impact.
Q1

Pure physical

J × Tp

Handling, construction, conventional agriculture, maintenance, convenience cooking. Linear force with little information.
Q2

Qualified physical

J × (Tp × Ip)

Surgery, elite sport, craft, lutherie, high-precision mechanics. A precise gesture carries a large memory of information.
more information injected

The horizontal axis is information injected into the work. The vertical axis is the kind of time mobilised. The model predicts a floor where time stays simple, and leverage where information becomes rare.

03

Move the model

The visualizer keeps the original J-I-T inputs, then makes the dominant quadrant and the trade-off visible.

Inputs

Start with the workbook's baseline: J = 100, eight hours of physical and intellectual time, and no information multiplier.

𝓘c is the optional Chiddush multiplier added by the original visualizer. It is not part of the core PDF equation; it models the extra lift of an original transformation.

Live outputQ1, Q3 tie
1,600A, relative value units
100 × [(8 × 1) + (8 × 1 × 1)]
Q1 pure physical
800
Q2 qualified physical
800
Q3 intellectual flow
800
Q4 high-value intellectual
800

At the baseline, the four simplified quadrants begin at the same value. Add information and the work moves right: the same energy and time carry more leverage.

04

Information can become time

The key move is algebraic: information injected into energy can replace physical effort.

The model's most useful equivalence is not that physical and intellectual work are identical. It is that information can move a system between them. If a technique makes a gesture ten times more precise, the system can reach the same output with a tenth of the physical time. The saved time is not empty: it becomes capacity for judgement, strategy, or a different kind of work.

(J × I) × Tp = J × (Tp × I) = J × Ti

Injecting information into physical energy is a way of transforming physical time into intellectual time.

same target valueRequired physical time falls as information rises

The curve is the workbook's trade-off: at J = 100, reaching A = 5,000 requires 50 hours at I = 1, but only 1 hour at I = 50.

05

The Jevons turn

Efficiency does not always reduce demand. Sometimes it makes the resource more usable, and demand expands.

In 1865, William Stanley Jevons described a counter-intuitive pattern: improvements that made coal more efficient did not simply reduce coal use. They widened the field of applications and multiplied total consumption. The same shape appears in knowledge. When AI makes standard information almost free, the demand for information does not disappear. It rushes toward the next bottleneck: the ability to select, transform, and see something others do not.

relative scaleUnit cost down, total demand up
unit costtotal demand

Before, information costly

  • Access requires time and money.
  • Knowledge is a durable competitive advantage.
  • Experts are paid for holding knowledge.
  • Scarcity protects Q1 and Q3.

After, information nearly free

  • Information is instantly available to everyone.
  • Only original insight remains durable.
  • Experts are paid for the ability to transform.
  • Value migrates toward Q2 and Q4.
06

From wheat to bread

A concrete image for the same idea: raw energy becomes useful through transformation.

In the visualizer's original metaphor, wheat does not fully nourish a person until it has been transformed into bread. The grain is not lacking energy. It is lacking a process: milling, kneading, waiting, and knowing when the transformation is complete. That process is information acting on energy over time.

01

Wheat

J × Tp

Raw energy
the grain eaten whole
02

Mill

+ Ip

Know-how
reduce entropy
03

Knead and rise

+ Ti

Reflection
let the process work
04

Bread

J × Ti × Ii × 𝓘c

Insight / Chiddush
transformed value
07

Where the bottleneck goes

The conclusion is a prediction, not a moral ranking of people or jobs.

In a post-industrial, highly automated economy, the cost of standardised information tends toward zero. That mechanically depreciates work whose advantage was access to a repeatable protocol. It does not mean that physical or administrative work disappears, or that it is less human. It means the market's relative reward increasingly concentrates around rare coefficients of information: highly trained physical precision, systemic judgement, original synthesis, and the capacity to turn knowledge into a new form.

The J-I-T model therefore ends with a practical question: what information does this hour carry that another hour cannot?

The scarce resource is not time by itself. It is the quality of transformation that time makes possible.

08

Reference notebook

The source folder can go away. The model's definitions, scenarios, and working tables stay here.

Source files and model assumptions
  • Synthese_Theorique_Energie_Temps_Information.pdfThree-page theory note: four postulates, the global equation, four quadrants, convergence, and the conclusion about standardised information in the AI era.
  • Modele_JIT_Energie_Information_Temps.xlsxFour sheets: Global Equation, Convergence, Four Quadrants, and Dashboard.
  • web_visualizer, style.css, app.jsOriginal interactive visualizer, including the optional insight / Chiddush multiplier, the Jevons section, the wheat-to-bread metaphor, and visual analyses.
Definitions carried over from the dashboard
VariableMeaningUnitRole
AMoney / total valueEURSystem output
JBase energyJoulesRaw driving force
TpPhysical timeHoursMaterial execution duration
TiIntellectual timeHoursCognitive-load duration
IpPhysical informationIndex ≥ 1Density of physical know-how
IiIntellectual informationIndex ≥ 1Complexity / rarity

Dashboard baseline: J = 100, T p = 8h, I p = 1, T i = 8h, I i = 1. The workbook calculates the physical component as T p times I p, the intellectual component as T i times I i, and A as J times both components added together.

Workbook scenarios, 8-hour comparison
ScenarioJTpIpTiIiValue ACategory
Unskilled worker1008100800Q1
Expert craftsperson100810008,000Q2
Surgeon1006252516,000Q2 + Q4
Secretary1000081800Q3
Financial analyst1000081512,000Q4
Fortune 500 CEO1000085040,000Q4
Algorithmic trader10000410040,000Q4
Senior AI developer1001272014,200Q2 + Q4
Workbook reference tables, equation, convergence, quadrants
Equation A by I i, J = 100, T p = 8, I p = 1
IiTi = 1h2h4h6h8h10h
19001,0001,2001,4001,6001,800
21,0001,2001,6002,0002,4002,800
31,1001,4002,0002,6003,2003,800
41,2001,6002,4003,2004,0004,800
51,3001,8002,8003,8004,8005,800
61,4002,0003,2004,4005,6006,800
71,5002,2003,6005,0006,4007,800
81,6002,4004,0005,6007,2008,800
91,7002,6004,4006,2008,0009,800
101,8002,8004,8006,8008,80010,800
111,9003,0005,2007,4009,60011,800
122,0003,2005,6008,00010,40012,800
132,1003,4006,0008,60011,20013,800
142,2003,6006,4009,20012,00014,800
152,3003,8006,8009,80012,80015,800
162,4004,0007,20010,40013,60016,800
172,5004,2007,60011,00014,40017,800
182,6004,4008,00011,60015,20018,800
192,7004,6008,40012,20016,00019,800
202,8004,8008,80012,80016,80020,800
Equation A by T i, J = 100, T p = 8, I p = 1
TiIi = 15101520
19001,3001,8002,3002,800
21,0001,8002,8003,8004,800
31,1002,3003,8005,3006,800
41,2002,8004,8006,8008,800
51,3003,3005,8008,30010,800
61,4003,8006,8009,80012,800
71,5004,3007,80011,30014,800
81,6004,8008,80012,80016,800
91,7005,3009,80014,30018,800
101,8005,80010,80015,80020,800
111,9006,30011,80017,30022,800
122,0006,80012,80018,80024,800
Information trade-off, J = 100, physical hours required for target A
IA = 5,000A = 10,000A = 20,000A = 50,000
0.51002004001,000
150100200500
22550100250
316.6733.3366.67166.67
5102040100
86.2512.52562.5
105102050
153.336.6713.3333.33
202.551025
301.673.336.6716.67
5012410
Proof of equivalence, (J x I) x T p = J x (T p x I) = J x T i
ITpJ × I(J × I) × TpTp × IJ × (Tp × I)TiJ × TiEqual?
1810080088008800YES
282001,600161,600161,600YES
585004,000404,000404,000YES
1041,0004,000404,000404,000YES
2022,0004,000404,000404,000YES
4014,0004,000404,000404,000YES
800.58,0004,000404,000404,000YES
Value by quadrant as information rises, J = 100, T = 8h
IQ1Q2Q3Q4Q4 / Q1
18008008008001
28001,6008001,6002
58004,0008004,0005
108008,0008008,00010
1580012,00080012,00015
2080016,00080016,00020
3080024,00080024,00030
5080040,00080040,00050
Hours saved through information, baseline T p = 100
IWithout informationWith informationHours savedReduction
110010000%
2100505050%
5100208080%
10100109090%
2010059595%
5010029898%
10010019999%
Original visualizer's AI sensitivity sketch, relative value, base 100
StageQ1, pure physicalQ3, intellectual flowQ2, qualified physicalQ4, high-value intellectual
Pre-AI100100100100
Basic AI8070110150
Advanced AI4030120350
General AI1510130800
Post-AI531402,000

The original visualizer described the Jevons analogy as applicable to knowledge and to the study of Torah: when access becomes cheap, the bottleneck moves toward interpretation, synthesis, and Chiddush, an original insight or new reading.

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