Chapter 070　Do People Become Enterprise Value?

“People are our greatest asset,” we have said, over and over. The sentence is a slogan, not a proposition. We call people an asset while our institutions treat them as a cost. Markets, for their part, do not price the depth of a workforce directly. This chapter is about that gap. By what route is human capital converted into Enterprise Value (the market’s valuation)? What gets disclosed, how do investors use it, and what stays invisible? Vol. II, Ch. 016 dealt with what people must now be able to do, and Vol. V, Ch. 048 with the scope of the term. Here we look at people from the side of finance and disclosure.

1 The question — why it arises now

The source of enterprise value moved quietly over the past half century. Value once came from plants, equipment, and inventory. All three sit on the balance sheet. Because they sit there, investors could count them. The real strength of a company and the image accounting reflected were roughly the same picture. Value now comes from knowledge, data, relationships, and people. People do not sit on the balance sheet. So a gap opened between the strength of a company and the image the accounts return. How to close that gap has become the unsolved problem of the capital markets. Three changes then arrived together. First, human capital moved from the language of management into the language of regulation. Frameworks for disclosing information about people to investors are being built in one country after another. Figures that were once internal documents of the HR function now appear in public filings. Once a figure is public, an obligation to explain it follows. People became a subject executives must speak about in public. Second, investors began trying to evaluate the intangible. The differences between companies that financial indicators cannot explain had simply grown too large (→ Vol. IV, Ch. 033). A difference that cannot be explained cannot be left alone indefinitely. Third, AI. AI takes over part of the work people used to carry. The meaning of “having many people” changes as a result. Headcount has weakened as a proxy for capability. With the same number of people, an organization that has absorbed AI and one that has not produce entirely different output. The three changes together changed the shape of the question. The old question was how to manage people. The current question is how people become Enterprise Value. We moved from a question of management to a question of conversion. And part of the answer is not obvious. A company with many people is not necessarily a company with high Enterprise Value. A company that spends heavily on training is not necessarily repaid. Between human capital and Enterprise Value there is a process of conversion. We have barely put that process into words. That conversion is the subject of this chapter.

2 Conventional answers and their limits

Three answers circulate. All three are offered in good faith. All three walk straight past the conversion. The first answer: “People are our greatest asset” The most widely spoken answer. It is said at the shareholders’ meeting, at the induction ceremony, and on the opening page of the medium-term plan. No executive contradicts it. The trouble is that nobody contradicts it. A proposition that cannot be falsified does not move a decision. In practice, even at companies that fly this banner, a shortfall in results puts labor cost control on the agenda first. A slogan does not change the conclusion of a meeting. Why does it not? Because institutionally, people are not assets. Spending on people is recognized as a cost of the current period. The mechanism by which that accounting asymmetry distorts decisions was set out as four routes in Vol. V, Ch. 048, and is not repeated here. What matters for this chapter lies beyond it. Even if accounting did capitalize people, there would be no guarantee that people become value. Sitting on the balance sheet and producing value are different things. The weakness of the slogan is not only the fault of the accounting rules. Far heavier is the fact that it says nothing about the conversion. The second answer: “Disclose human capital and it will be reflected in Enterprise Value” The second answer is newer and more operational. Build the disclosure. Lay out the indicators. Explain them to investors. The value that was invisible then gets priced in. The first half is right. Disclosure reduces information asymmetry, and reducing it can dissolve an excessive discount for uncertainty. The second half does not hold. Disclosure is a mapping. It does not create the thing it maps. What has not been captured does not appear, however fine the mapping becomes. And most of what is disclosed today is input. How many people. How many training hours. In what proportions the workforce is composed. Input does not indicate the level of capability. Still less does it indicate the speed at which capability is being renewed. Companies that have worked hard on disclosure sometimes fail to earn any assessment matching the effort. The cause is not the quality of the disclosure. The items disclosed and the elements producing value are misaligned to begin with. Raise the resolution while the aim is off and no image forms. The third answer: “Raise employee engagement and performance follows” The third answer is stronger because it comes with data. Surveys showing correlation between employee satisfaction and business results are numerous. That makes it easy to use as the basis for a program. But correlation does not tell us the direction of causation. Good results may fund good treatment, and good treatment may raise satisfaction. A third factor may be lifting both. More awkward is what happens the moment an indicator becomes a target. Connect a satisfaction survey to appraisal or bonus and the numbers rise. The risen numbers no longer reflect the state of affairs. The hazard of promoting an indicator into a management objective was argued in Vol. III, Ch. 026. The three conventional answers share one defect. They treat human capital and Enterprise Value as two points joined directly. They never ask what lies between. So when things do not work, nobody can say where the blockage is. Without knowing where the blockage is, no remedy can be chosen.

3 Redefinition — human capital is a latent quantity that

can be converted

3.1 Where the idea of human capital came from

The term human capital did not come from management. It came from economics. In the 1960s, Schultz and Becker recast education and training as investment rather than consumption. Schooling and in-company training are both expenditures made to raise future income. If so, they are the formation of capital. That shift of view is where human capital theory begins. The shift had a clean consequence. If it is investment, a rate of return can be computed. Measure the relation between years of schooling and lifetime earnings and the return can be estimated. Spending on people moved from a matter of sentiment to an object of calculation. The force the term carries comes from that single point. Becker introduced a further distinction that matters here: general human capital and firm-specific human capital. The first is capability that holds anywhere. The second holds value only inside a particular firm. The distinction is decisive for management because it explains who bears the cost and who takes the return. Investment in general capability walks out the door with the person. So the firm is reluctant to fund it. Firm-specific capability cannot walk out. So the firm has a motive to fund it. The Japanese combination of long tenure and in-house education has long been explained on this logic. And here the most important property of human capital appears. Human capital belongs to the person. It does not belong to the enterprise. What the enterprise holds is continuing access to that capital (→ Vol. V, Ch. 048). That single point is what makes investment in people fundamentally unlike investment in equipment.

3.2 Where the classical frame is shifting

In the Age of AI, the frame Becker and his successors built is shifting in two places. It has not been refuted. Part of its groundwork has moved. One shift: part of firm-specific capability is migrating into systems. Memory of procedure, internal convention, the history of past decisions. These are being documented and put into a form AI can consult. Some of what once lived only in people is leaving people. To that extent, firm-specificity thins. The other shift: general capability is going obsolete faster. When the useful life of a learned skill shortens, human capital held as a stock loses value. The return on an investment depends on its useful life. Capital with an unreadable useful life cannot be discussed in quantities. The view of human capital as an accumulated quantity is therefore collapsing from its assumptions upward. Keep arguing in quantities and we will keep counting a depreciating asset.

3.3 The central proposition

On that basis we set the central proposition of this chapter. Human capital is not the cause of Enterprise Value. It is a latent quantity that can be converted into Enterprise Value. What does latent mean here? It means that without a mechanism of conversion, it does not become value. Having capable people and having that capability become the value of the enterprise are separate events. The first is the result of hiring and development. The second is the result of design. The proposition is consistent with the order of the Future Value Chain. Purpose → Learning → Redefinition → Creation → Enterprise Value Enterprise Value comes last. Human capital is not the entrance to the chain. It is closer to the fuel that drives it. Fuel without an engine goes nowhere. The engine is purpose, the machinery of learning, and the practice of redefinition.

3.4 Separating Human Capital from Learning Capital

To ask about conversion rather than quantity, we keep two forms of capital apart. Human Capital is the total capability the organization is connected to at this moment. Learning Capital is the capability to keep renewing that total. The first is a stock. The second is a flow. Both are named in the eight forms of Future Capital — Human is the second, Learning the third. The stock erodes if left alone. Skills go obsolete, people leave, context thins. The erosion is quiet and does not show in this year’s numbers. Only the flow makes replenishment faster than erosion. First Principle 5 names that asymmetry. Learning Is the Ultimate Competitive Advantage. Learning is the ultimate competitive advantage, because knowledge and technology depreciate. How to read that principle as a requirement for people was argued in Vol. II, Ch. 016. Our interest here is on the other side. Neither Human nor Learning is meaningfully measured by any current disclosure framework. What we disclose is money spent and hours spent. Not the level of capability held. Still less the speed of its renewal. Improving disclosure and designing the conversion are two separate programs, and they must be run separately.

4 Structure — the equation, and four routes of

conversion

4.1 Where people sit in the Future Capital Equation

Future Value Theory holds the capital of an enterprise in one equation. Future Capital = Financial × Human × Learning × Trust × AI × Knowledge × Ecosystem × Purpose Eight terms joined by multiplication. Not addition. If any single term is zero, the product is zero. An abundance of financial capital cannot compensate for absent purpose, and advanced AI cannot compensate for absent trust. In the context of Enterprise Value, the equation shows three things. One: human capital does not work alone. Make Human as large as you like, and if Purpose is zero the product is zero. Capability not connected to a purpose adds nothing to Future Capital. Two: Human and Learning are counted as separate terms, and the separation means something. Having people and having those people continuously renewed are two different forms of capital. Disclosure barely reaches the first. It hardly touches the second. Three: Trust sits in the same equation. When people build relationships with customers and with society, what grows is not Human but Trust. The effect of human capital often shows up transposed into another term. Look for the return on investment in people only in the Human column, and you will not find it.

4.2 The four routes of conversion

Human capital is converted into Enterprise Value along four routes. They differ in how they work, in their time horizons, and in how easily they are imitated. The first route is productivity. More output from the same input. The effect arrives fastest and reaches Financial Value directly. This route is also the easiest to imitate. Procedures travel and tools can be bought. The spread of AI works to level the differences on this route. The second route is innovation. New value offered, and a new source of earnings. It takes time to begin working. This period’s cost corresponds to earnings several years out. The way that asymmetry pushes investment into the future was the subject of Vol. VII, Ch. 069. The third route is trust. Customers, suppliers, communities, regulators. Relationships are built by people, and the relationship stays with the organization. First Principle 8 states it. Trust Compounds Faster Than Capital. Trust compounds faster than capital and becomes the last durable advantage. But lose the people who carry the trust and the loss is fast as well (→ Vol. VII, Ch. 068). The fourth route is redefinition capability. The power to rebuild the enterprise when its assumptions go obsolete. This power has been systematized as Enterprise Redefinition Capability (→ Vol. V, Ch. 043). It works on the longest horizon and is the hardest to imitate. Set the four side by side and a tendency appears. The faster a route works, the easier it is to copy; the slower it works, the harder it is to measure. The stronger the short-term pressure on a company, the more resources it moves to the first route. Having moved them, it competes where no difference can be made. The four are not independent. An organization with deep trust can form outside partnerships quickly. Quick partnerships increase the volume of learning. More learning widens the options for redefinition. The routes reinforce one another. Design only one of them and the expected effect rarely appears.

4.3 Disclosure measures none of the four routes

Now the misalignment between disclosure and conversion, stated head-on. Most disclosed items are inputs sitting upstream of the first route. Training hours are an input to productivity, not an output. Diversity ratios are composition, not integration. Retention is the fact that people have not left, not the fact that something is accumulating. For the second through fourth routes, corresponding disclosure items barely exist. The power to generate innovation, the power to carry trust, and the power to redefine cannot be expressed as inputs. This is not a defect in the disclosure regime. Disclosure requires comparability. Comparability requires standardization. Standardization selects the inputs that are easy to count. Structurally, it cannot be otherwise. Executives therefore need two ledgers. One for disclosure, one for managing the conversion. However fine you make the first, the second does not appear from it.

5 What it looks like in practice — disclosure on the

ground, and where conversion stops

5.1 The disclosure movement, read as a structure

The details of the rules differ by country and by year. We describe only the structure. There are broadly three layers. The first is international guidance: attempts to systematize reporting items on human capital, of which ISO 30414 is the best known. The second is statutory disclosure in each jurisdiction; in Japan, statements about human capital and diversity have come to be required within the annual securities report. The third is what companies publish voluntarily, in integrated reports and sustainability reports. All three layers share one structure. What gets disclosed is what can be counted. Headcount, composition, amounts, hours, ratios. Alongside them sit narrative statements of policy. And narrative cannot be compared. What cannot be compared tends to be set aside in an investor’s analytical process. The result is that only the comparable numbers are actually used. The total volume of disclosure grows; the kinds of information used do not.

5.2 How investors actually use it

Usage divides roughly three ways. One is exclusion. Find an extreme number and drop the company from the universe. Outliers on safety and on attrition are used this way. Two is material for dialogue. Rather than the figure itself, the executive is asked about what lies behind it. In recent engagement with institutional investors this use has grown (→ Vol. VIII, Ch. 074). Three is change over time. Not the absolute level but the direction. Since comparison across companies is hard, the trajectory of a single company carries more information. One caution. Human capital figures rarely enter a valuation model directly. In most cases they are treated as supporting information, used to check whether the assumptions are reasonable. Disclosure, in other words, works in the direction of dispelling doubt. It does not yet work in the direction of adding to the assessment. The expectation that more disclosure lifts the valuation misses this structure. Why does it stay supporting information? The reason is simple. No established relation links the disclosed figures to future earnings. With revenue or profit, continuity with the past allows an inference about the future. Training hours have no such continuity. How many hours of training produce how much revenue, and in which year? Nobody holds an answer. Which is precisely why it matters that the company explains the route. Not a list of figures, but an account of which route those figures travel to become value. The account cannot be compared. The quality of the dialogue changes anyway.

5.3 The limits of disclosure, one level deeper

There are three limits. First, input is confused with outcome. Training spend is an input. What the organization became able to do because of it is a different piece of information. No line in the disclosure joins the two. Second, level is invisible. The same training hours with different content produce different results. The same headcount with a different distribution of capability produces different output. What can be counted is quantity, not quality. Third, speed is invisible. What we most want to know is how fast this organization’s capability is being renewed. No standard indicator of renewal speed exists at present. What does not exist cannot be disclosed. Disclosure is necessary. Necessary, and not sufficient. Saying both of those at once, and continuing to say them, is part of the executive’s role.

5.4 What is happening when people do not become Enterprise

Value Conversion stops in three shapes. None of them is rare. First, capability is closed inside an individual. One person alone can make the judgment. That person takes leave and the process halts. In the short run this state looks efficient. It does not become enterprise value, because enterprise value is capability that is reproduced whether or not a particular individual is present. Capability closed inside a person disappears the moment the person leaves. The disappearance shows up late, as next year’s order book or as a wobble in quality. Second, capability is not connected to a purpose. High capability is deployed without a direction. Able people do precise work on assumptions nobody has questioned. Back in the equation, this is a state in which the Purpose term is small. Because the relation is multiplicative, making Human larger does not lift the product. From outside, this failure looks like a diligent organization. So it is found late. Third, capability leaves. There is an asymmetry here. The people who renew themselves fastest are the people who hold anywhere. So the first to go are, in most cases, the most valuable. And departures improve the current period’s result, because labor cost falls. The financial indicators record the loss as profit. What the three share is that none of them appears in the current period’s financial statements. They do not appear, and then, some years later, they do. By that time, few executives attribute the cause to people. Market conditions and competitor behavior are offered as the reason instead.

5.5 So what should the executive measure?

We carry the design thinking of the VURA Future Index across to human capital (→ Vol. III, Ch. 026). Three of its principles apply. Measure capability, not track record. Measure the rate of renewal, not only the level. And do not build a single composite score. On that basis we propose four observation points. These are not regulatory disclosure items. They are items for management’s internal ledger, and they are proposed here rather than established. One, the transfer rate. The share of critical judgments and skills that two or more people can carry. It shows whether capability is closed inside individuals. Two, the connection rate. The share of the allocation directed at people that went to areas tied directly to the declared purpose. It shows direction. Three, traces of renewal. The number of cases in the past year in which the person doing the work rewrote an assumption themselves. We use it as a proxy for Learning Capital. Four, the quality of departures. Not the number of leavers, but whether the capability lost through their departure can be described in words. It looks at content rather than count. None of the four can be compared against another company. That is not a defect. Conversion follows a different route in every enterprise. What to read is your own series over time. And the four must never be summed into a single score. The lowest of them is what is stopping the conversion.

6 Questions for the executive

The argument, in one line. People do not become Enterprise Value as they are. They become Enterprise Value only when converted along four routes: productivity, innovation, trust, and redefinition capability. And most of what is disclosed today sits upstream of that conversion, as input. The point is not to value people. Nor is it to enrich the disclosure. Both are preconditions. Neither is the conversion itself. Three questions to close. Each can be answered at your next executive meeting. Question 1 — Of the human capital items your company discloses, how many show an outcome rather than an input? Count them. Almost all of them, in all likelihood, are inputs. If so, adding disclosure items will not move the assessment. What has to move is the conversion, not the disclosure. As long as the work sits with the disclosure function alone, it will not begin. Question 2 — Of your critical judgments, how many can only one person make? The larger that number, the more your human capital is closed inside individuals. Closed capability does not accumulate as the value of the enterprise. Designing for transfer is a separate task from designing for development. Growing someone and moving what they hold are different jobs. Question 3 — Can you say in words what was lost through last year’s departures? If you cannot, we have not recognized what we lost. An unrecognized loss cannot be addressed. An attrition rate, as a single number, does not answer this question. None of the three questions asks how many people you have. All three ask whether capability is moving from individuals to the enterprise. Human capital theory gave us the view that spending on people is investment. Half a century on, we have to ask what comes next. By which route does the investment become value? First Principle 3 states the role of capital. Capital Exists to Create Possibility. Capital exists to create possibility, not merely to maximize return. Human capital that creates no possibility is not capital. It is payroll. And First Principle 2 states the order. Future Value Precedes Enterprise Value. Markets recognize enterprise value but cannot create Future Value. People sit upstream of that order. Management that measures nothing upstream and controls only what is downstream is watching results and nothing else. Do people become Enterprise Value? The answer is a conditional yes. In an enterprise that holds a design for the conversion, they do. In one that does not, they do not. And the difference does not appear in the disclosure documents. It appears in the financial statements, some years later.

In brief

Human capital is not the cause of Enterprise Value. It is a latent quantity that can be converted into it.
There are four routes of conversion: productivity, innovation, trust, and Enterprise Redefinition Capability.
Human capital belongs to the person. What the enterprise holds is continuing access to it.
Most disclosed items are inputs, and they do not measure the outcome of the conversion.

Key concepts

Human Capital / Learning Capital / Future Capital / Enterprise Value / Enterprise Redefinition Capability

The chain of ideas

Learning → Human Capital → Future Capital → Enterprise Value → Financial Value

Related first principles

Principle 5 — Learning Is the Ultimate Competitive Advantage. Principle 3 — Capital Exists to Create Possibility. Principle 2 — Future Value Precedes Enterprise Value.

Related chapters

Vol. V, Ch. 048 “What Does It Mean to Redefine Talent?” — rebuilding the definition of talent itself
Vol. II, Ch. 016 “What Kind of People Does the Age of AI Need?” — the same principle read from the side of requirements
Vol. VII, Ch. 068 “Does Trust Become Enterprise Value?” — one of the four routes of conversion, in detail
Vol. IV, Ch. 033 “Are Intangible Assets Future Value?” — the general case of capital that never reaches the books

Papers and companion volumes

Kadowaki, N. (2026a). Future Value Theory: A Management Framework for Enterprise, Capital, and Society in the Age of AI. VURA Working Paper Series. SSRN: https://ssrn.com/abstract=7120980 / Zenodo: https://doi.org/10.5281/zenodo. 21255662
Kadowaki, N. (2026b). Enterprise Redefinition: Toward an Enterprise Evolution Theory for the Age of AI. VURA Working Paper Series. (Published on Zenodo; under review at SSRN)
100 Questions on Management in the Age of AI, #002 “The Human Capabilities That Gain Value as AI Gets Smarter” / #060 “How Does Employee Growth Change in the Age of AI?”

Chapter 070 Do People Become Enterprise Value?