4. Virtual Balances

The smallest operations can now afford financial control programs that
account for their finances with greater speed and sophistication that even the
largest corporations could have achieved through their production hierarchies a
few decades ago.

James Dale Davidson and Lord William Rees-Mogg

Financial sums are most essentially the finished product of an arithmetic process. For example, the balance of a particular account is really the result of adding all of the deposits (debits) and subtracting all of the withdrawals (credits). It is just a matter of addition and subtraction, an operation that humans do laboriously and erratically but which is done effortlessly and flawlessly my machines.

The same can be said for the other monetary amounts that we use to determine the value of a business and its success or failure. Income is the sum of all of the revenues and expenses that occur to a business during a given period of time; the term “assets” is the sum of all of the resources available to the company; and the term “retained earnings” is the owner’s book value based upon the simple sum of the company’s assets and liabilities (liabilities are actually subtracted from the company’s assets). Financial data is basically the finished product of some very simple arithmetic operations.

The importance of this observation lies in the disparity between the computer’s ability to perform millions of arithmetic operations perfectly each second while humans must struggle to do the same in many months of effort with a paper and pencil. Because of computer’s computational power, the value of the finished product of the arithmetic approaches zero. If you can perform a million operations effortlessly and in virtually no time, you can perform those same operations again and again at no cost, making the value of sums as free as air. The sums of the operations become valueless while the value of the input data to those operations (the amounts of simple financial transactions) increases in value (since they can be reused effortlessly in many different combinations to produce unique new sums).

In the twenty-first century, only the simple data that summarizes the simple atomic financial transactions needs to be stored in the computer. The sums and balances that affect our financial markets will be produced upon demand by machines that are imbued with the intelligence of how those sums and balances can be produced from the rawest of data.