The framework
Value = A × B × C × D
Every book in the series argues that a company creates lasting value only when a few conditions hold at once. They multiply rather than add: if any one is zero, the result is zero. Around them sit forces no company controls, such as prices, policy and the cycle, which act like weather.
The factors are different in each industry. Below, each book states its own equation in its own words, taken from the preface.
Healthcare
The Care Equation
The difference is rarely the technology alone. This book argues that a healthcare business creates durable value only when four things are true at once, and that the factors multiply rather than add: if any is zero, the result is zero. The care must improve health or lower its cost. There must be a payer willing and able to pay for it, from a budget that renews. The company must be able to reach that payer for less than the payer is worth. And the proof must be strong enough to survive contracting and regulation. Around those four factors sit two forces that no company controls, reimbursement policy and capital cycles, which behave like weather: they do not decide whether care works, but they decide how long a company has to show that it does. In healthcare the patient is rarely the buyer, the person who chooses is often the clinician, and the payer is usually an insurer, an employer or a government. Most of the failures in this book come from treating one of the four factors as given rather than earned.
Finance
The Money Equation
The difference is rarely cleverness. This book argues that a financial company creates durable value only when four things are true at once, and that the factors multiply rather than add: if any is zero, the result is zero. Customers and counterparties must trust it with their money, and that trust must be deserved. The risk it takes must be priced correctly, over a whole cycle rather than the good years in the data. It must be able to reach customers for less than they are worth. And its balance sheet must survive the bad year, with the capital, liquidity and stable funding to absorb losses and withdrawals without forced sales. Around those four factors sit two forces that no company controls, the interest-rate cycle and regulation, which behave like weather: they do not decide whether a firm deserves trust or prices risk well, but they decide how long it can survive if it does not. Most of the failures in this book come from treating one of the four factors as given rather than earned, and most of the successes from a firm that kept all four in view when its competitors stopped.
Artificial Intelligence
The Intelligence Equation
The difference is rarely the quality of the research. This book argues that an AI company creates durable value only when four things are true at once, and that the factors multiply rather than add: if any is zero, the result is zero. It must have capability that survives real work, a system that does a job reliably enough, on evidence a buyer can check, that someone changes how they work and pays for it. It must have unit economics that hold at real usage, so that each token, query, seat or resolved task earns more than the compute it consumes when real customers, not pilots, use it. It must hold a position the next layer cannot route around, something scarce that keeps its supplier from taking the margin and its customer from switching. And it must have the capital and permission to last the cycle, the money to fund compute, chips and power, and the legal and political licence to operate, long enough to get paid. Around those four factors sit two forces that no company controls, the capital cycle and the rules, from copyright rulings and AI laws to export controls, which behave like weather: they do not decide whether a product works or earns its keep, but they decide how long a company can survive if it does not. Most of the failures in this book come from treating one factor as proven because another was, and most of the successes from a company that tested all four before its competitors did.
Energy
The Power Equation
The difference is rarely the quality of the resource or the engineering. This book argues that an energy company creates durable value only when four things are true at once, and that the factors multiply rather than add: if any is zero, the result is zero. It must have supply at a cost the market will pay, a resource, plant, machine or service that delivers energy, or the equipment for it, below the price buyers will pay across the cycle, not just at the top of it. It must have a route to market, an offtake contract, pipeline, grid connection, rate base or customer base that turns production into revenue, because stranded supply is worth nothing. It must have capital matched to the asset, financing whose cost, term and structure fit an asset that is paid for up front and earns over decades, strong enough to survive the low point of the cycle. And it must hold a licence to operate, the permits, regulatory approvals, safety record and public consent that let it build and keep running. Around those four factors sit two forces that no company controls, commodity prices and politics, from OPEC+ quotas and wars to tax credits granted and withdrawn, which behave like weather: they do not decide whether a project is sound, but they decide how long an unsound one survives, and they can bankrupt a sound one financed for fair weather only. Most of the failures in this book come from treating one factor as proven because another was: cheap capital mistaken for low cost, a subsidy mistaken for a market, a licence mistaken for permanent.
Supply Chain
The Flow Equation
The difference is rarely the quality of the ships, trucks, warehouses or software. This book argues that a supply-chain business creates durable value only when four things are true at once, and that the factors multiply rather than add: if any is zero, the result is zero. It must have a cost to serve below what the customer will pay across the freight cycle, not just at its peak, counting empty miles, idle capacity, returns, claims and the inventory carried along the way. It must have density, enough volume on the right lanes and through the right nodes that its fixed assets run full and each extra shipment costs less than the last. It must have reliability, a promise customers can plan around, on time, in full, undamaged and visible, kept in an ordinary week and in a disruption. And it must have capital matched to the cycle, balance sheets, leases, charters and working capital that survive the trough of the freight cycle and the swing of the inventory cycle. Around those four factors sit two forces that no company controls, the freight cycle, with its booms and busts amplified along the chain by the bullwhip, and shocks and trade politics, from pandemics, canal blockages, wars, strikes and cyberattacks to tariffs and customs rules. They behave like weather: they do not decide whether a business is sound, but they decide how long an unsound one survives, and they can bankrupt a sound one financed for fair weather only. Most of the failures in this book come from treating one factor as proven because another was: a boom-year rate mistaken for cost to serve, venture money mistaken for density, a tariff exemption mistaken for a supply chain, a cheap supplier mistaken for a reliable one.
Trading & Options
The Edge Equation
The difference is rarely the cleverness of the idea. This book argues that durable trading profit exists only when four things are true at once, and that the factors multiply rather than add: if any is zero, the result is zero. There must be an edge: a positive expected value after costs, with a source that can be named, a risk premium someone pays to shed, a behavioural or structural mispricing, information, or speed and liquidity provision, and evidence that survives out of sample. There must be survival: sizing and leverage such that the worst plausible sequence of results does not end the game, whether it arrives as a margin call, an overnight gap or the crash that a seller of insurance is paid to bear. There must be execution: costs, liquidity, capacity, technology and operations that let the edge be captured at the size the trader needs. And there must be discipline and adaptation: following the rules through drawdowns, watching for decay, and capital that stays. Around those four factors sit two forces that no trader controls, the market regime and the rules. They do not decide whether a trader is sound, but they decide how long an unsound one survives. Most of the failures in this book come from treating one factor as proven because another was: a high win rate mistaken for an edge, a backtest mistaken for evidence, an edge mistaken for survival, a zero commission mistaken for zero cost, and a good five years mistaken for a strategy.
Venture Capital
The Outlier Equation
This book develops that understanding in twenty-five chapters. It begins with the logic of the power law and the venture fund, follows an investment from sourcing through term sheet, board work, and exit, and then examines stages, sectors, geographies, liquidity, regulation, and the people who make investment decisions. Selected cases show how markets, founders, instruments, and investor judgment interact. Worked examples and practical tools support the narrative.
Private Equity
The Ownership Equation
This book develops that foundation in twenty-five chapters. It begins with the ownership model and fund relationship, follows an investment from sourcing to exit, and then examines specialist strategies, portfolio access, governance, performance, and the investment organization. Selected cases illustrate how business economics, capital structures, and owner decisions interact. Worked examples and practical tools support the narrative.
Education Technology
The Learning Equation
The difference is rarely the technology alone. EdTech succeeds when four things line up: a learning design that actually changes what students know and can do; a buyer who is willing and able to pay, whether that is a parent, a teacher, a district, a university, an employer, or a government; a route to that buyer that costs less than the customer is worth; and evidence strong enough to survive procurement, renewal, and scrutiny. It fails when any one of these is assumed rather than earned. The user is often not the buyer, the buyer is often not the person who benefits, and the benefit often appears years after the purchase. Those gaps explain more failures than bad software does.
Manufacturing
The Production Equation
The difference is rarely the quality of the machines. This book argues that a manufacturer creates durable value only when four things are true at once, and that the factors multiply rather than add: if any is zero, the result is zero. It must have a product worth making, one customers will buy in enough volume and at a price above its full cost, across the cycle and not just at its peak. It must have process capability, the ability to make that product right, safely and repeatably, which is the hardest factor to buy and the easiest to lose. It must have utilisation and scale, enough volume through its fixed assets that each extra unit costs less than the last. And it must have capital matched to the cycle, balance sheets, pensions, tooling, working capital and public money financed to survive the downturn and the long ramp from groundbreaking to volume. Around those four factors sit two forces no manufacturer controls, the demand and input cycle and policy and geopolitics, from tariffs and subsidies to wars, pandemics and floods. They behave like weather: they do not decide whether a manufacturer is sound, but they decide how long an unsound one survives, and they can ruin a sound one built for fair weather only. Most of the failures in this book come from treating one factor as proven because another was: a subsidy mistaken for a product worth making, a pre-order list mistaken for demand, automation mistaken for process capability, a boom-year price mistaken for unit cost, a tariff mistaken for a competitive cost.