Right now, about nine out of every ten dollars in advanced economies exists only as bank numbers, not cash in a wallet. You walk into a bank, sign a loan contract, and — without printing a single bill — the bank types a figure into your account. That quiet keystroke changes the money supply.
That new balance in your account is not “taken” from someone else’s savings. In modern banking, loans come first; matching reserves and funding come after. When a bank approves a $10,000 loan, it instantly records a $10,000 asset (the loan) and a $10,000 liability (your deposit). Its balance sheet grows by $20,000 in total entries, but the bank’s net worth hasn’t changed by a cent. What *has* changed is the amount of spendable money in the economy: there is now $10,000 more deposit money than before.
Now scale this up. If a mid‑sized bank issues $1 billion in new net loans over a year, that’s $1 billion added to broad money, unless offset elsewhere. Across an entire banking system, persistent credit growth of just 5% annually can double deposit money in about 14 years, reshaping prices, debts, and asset values.
Zoom out to the whole system. In many advanced economies, 90–95% of broad money is this kind of bank-created deposit, while physical notes and coins make up only 5–10%. In the Eurozone, banks are required to hold just 1% of certain deposits as reserves; in countries like the UK, Canada, and Australia, the formal reserve requirement is 0%. That doesn’t mean “infinite lending,” because banks are constrained by capital rules and risk limits. Still, when U.S. M2 jumped roughly 25% between February 2020 and 2021, it was largely because banks expanded their loan books and governments injected deposits via stimulus.
To see how this plays out in practice, follow a single $300,000 mortgage through the system.
Day 1: A bank approves the mortgage. Your account shows +$300,000. The seller of the house sees +$300,000 in their account when you pay. Two different people now feel richer by the same amount, even though no extra cash moved through a teller’s window.
Day 2–30: The selling bank may lose $300,000 in reserves if the seller uses another bank. Your bank now has a funding problem, not a “missing deposits” problem. It can respond in several ways, each with different implications for the system:
- It can borrow short-term from other banks in the interbank market. - It can issue longer-term bonds or covered bonds to investors. - It can attract time deposits by offering higher interest rates. - It can borrow from the central bank at the policy rate plus a spread.
If funding is easy and cheap, your bank is comfortable repeating this process hundreds or thousands of times. Suppose it writes $500 million in net new loans in a year across mortgages, business credit lines, and credit cards. If, on average, 80% of those new deposits stay in the same banking group and 20% leak out to others, it needs to secure funding and reserves for roughly $100 million, not the full $500 million.
Now introduce capital rules. A bank with $2 billion in equity can only support a certain volume of risk‑weighted assets. If regulators require, say, a 10% common equity tier 1 ratio, that equity might back up to $20 billion of risk‑weighted loans. A safer prime mortgage might carry a 50% risk weight; a risky corporate loan might be 100% or more. That means $100 million in new prime mortgages “uses up” only $50 million of risk‑weighted capacity, while $100 million in riskier loans uses the full $100 million. Profitability, perceived risk, and these weights silently steer where new money shows up: suburban housing, stock buybacks, commercial real estate, or small‑business credit.
This is why two countries with similar headline interest rates can experience very different booms. If one country’s banks channel most new credit into existing property, you get soaring house prices and household debt. If another directs credit toward businesses and infrastructure, you get more productive capacity instead of just higher asset prices.
**Your challenge this week:** pick one local bank and read its latest annual report or Pillar 3 disclosure. Look for three things: (1) which loan categories are growing fastest; (2) how much equity it holds versus total assets; and (3) any comments about “risk‑weighted assets.” You’re not trying to become an accountant. You’re training yourself to see where new purchasing power is actually being steered in your own economy.
Now connect that abstract process to visible outcomes. Suppose a regional bank increases its commercial real‑estate book from $2.4 billion to $3.0 billion in a year, while small‑business lending crawls from $500 million to $520 million. That’s a $600 million push of new purchasing power toward offices and malls, versus only $20 million toward local firms. Or look at household debt: if mortgages at a national bank rise 8% to $110 billion while wages in that region rise 3%, the gap signals more pressure on future incomes to service past borrowing.
One analogy to keep in mind: a software company that keeps pushing automatic updates to certain apps more than others. Wherever the “updates” go most frequently is where capabilities—and bugs—accumulate. In banking, those “updates” are credit flows. Reading a bank’s numbers tells you which parts of your economy are being upgraded with fresh spending power, and which are left running on old code.
When banks redirect where new money first appears, they also reshape future risks. If a major lender shifts 15% of its book toward green projects and away from coal, that might mean $3–5 billion less funding for high‑emissions assets over five years. As CBDCs or large stablecoins scale to, say, 10–20% of payments, they could drain cheap deposits from banks, forcing them to pay more for funding or shrink lending. Watch which sectors then receive less credit—and adjust your own exposure.
Treat every headline about “credit growth” or “tightening lending standards” as a map of where future demand and risk are heading. If a sector’s bank credit shrinks 5–10% while another’s expands 15%, expect very different price paths, defaults, and job prospects. Tracking those shifts turns opaque bank data into early warning signals you can actually use.
Here’s your challenge this week: Open your last 30 days of bank and credit card statements and calculate exactly how much of your spending was financed by credit (anything that created or increased a balance, including Buy Now Pay Later) versus money you already had in deposits. Then, choose one recurring expense that currently hits a credit card (like subscriptions or food delivery) and switch it to be paid directly from your checking account so it’s backed by existing deposits, not new credit. Finally, set a specific “maximum monthly credit creation” number for yourself (for example, no more than $200 of new credit card balance) and track it for the next 7 days to see how your personal money creation compares to what you thought before hearing the episode.
