Deep Dive: How to Master the Two-Sided Take (2)

Catch-up: Commercial Awareness Update: 8th July 2026 | Deep Dive: How to Master the Two-Sided Take | Career Advice: The Non-Target Playbook

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After covering Amazon's $25 billion bond sale last week update, the SpaceX financing story, and the broader AI debt boom across the last few months, I realised we've never actually done a proper explainer on how corporate bond markets work.

And that's a problem.

Because bond markets are bigger than equity markets. The global bond market is worth roughly $130 trillion. The global stock market is worth around $110 trillion. Bonds are where the majority of corporate financing actually happens, where a huge proportion of institutional money gets deployed, and where some of the most important signals about the health of the economy actually come from.

Yet most students preparing for finance interviews can talk about stocks fluently and freeze the moment bonds come up.

By the end of today's issue, you should understand:

Let's get into it.

Start with the basics, because getting these precisely right matters in interviews.

When a company needs to raise money, it has two fundamental options.

It can sell equity — issue new shares, which means selling a piece of ownership in the business to investors. That's what SpaceX did in June when it went public.

Or it can sell debt — borrow money from investors by issuing bonds, promising to pay them back at a fixed date with interest along the way. That's what Amazon did last week.

A corporate bond is simply a loan from an investor to a company, structured as a tradeable security.

Here's what that means in practice.

When Amazon issued its $25 billion bond last week, it essentially split that borrowing into thousands of individual bonds and sold them to institutional investors: pension funds, insurance companies, asset managers, sovereign wealth funds, and others. Each investor who bought a bond is now a creditor of Amazon. Amazon owes them money.

In return for lending Amazon that money, investors receive two things.

Coupon payments. A fixed percentage of the bond's face value, paid regularly — typically every six months — for the life of the bond. If you buy a $1,000 bond with a 5% coupon, Amazon pays you $50 a year until the bond matures.

The principal back at maturity. When the bond reaches its end date — in Amazon's case, tranches ranging from 3 to 40 years — Amazon repays the full face value to whoever holds the bond at that point.

That's it. That's a bond. A promise to pay regular interest and return the principal at a specified date.

The crucial difference from equity is this: bondholders are creditors, not owners. They don't participate in the upside if Amazon's profits triple. But they also sit ahead of shareholders in the queue if Amazon ever gets into financial difficulty. In a bankruptcy, creditors get paid before equity holders. That seniority is why bonds are generally considered lower risk than stocks, and why they offer lower potential returns.

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This is the question most students don't think to ask, and it's a genuinely good one.

Amazon generated roughly $70 billion in operating cash flow in 2025. It's one of the most profitable companies on earth. So why is it borrowing $100 billion in a year instead of just paying for its AI buildout from its own reserves?

The answer involves three separate but connected ideas.

First: scale.

Amazon's 2026 capital expenditure target is $200 billion. Even for a company generating $70 billion in operating cash flow, spending $200 billion in a single year would completely exhaust internal resources and then some. When the investment programme is this large, external financing isn't optional — it's necessary.

Second: capital efficiency.

Even if Amazon could theoretically fund everything from cash, it often makes more sense not to.

Debt is cheap relative to equity. Investors who lend Amazon money at, say, 5% annual interest are getting a much lower return than shareholders who own Amazon stock and expect it to appreciate meaningfully over time. That difference in cost — debt being cheaper than equity — means that for certain uses of capital, borrowing is simply more efficient than deploying your own cash or issuing new shares.

There's also a tax advantage. Interest payments on debt are typically tax deductible. Dividends paid to shareholders are not. So from a purely financial engineering perspective, using debt financing reduces a company's tax bill in a way that equity financing doesn't.

Third: preserving financial flexibility.

Holding large cash reserves isn't free. There's an opportunity cost to sitting on cash that could be deployed elsewhere. Companies like Amazon, Apple, and Microsoft maintain substantial cash balances, but they also use debt markets to finance specific large-scale programmes rather than drawing down reserves that might be needed for acquisitions, buybacks, or unexpected opportunities.

The broader lesson is that choosing between debt and equity financing isn't just about "who do we borrow from" — it's a strategic decision that reflects the company's capital structure, its cost of capital, its tax position, and what it's planning to do with the money.

That decision is exactly what investment banking advisory teams help companies think through, which is one of the reasons understanding bond markets is directly relevant to almost every IB interview you'll walk into.

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When Amazon decided to raise $25 billion last week, a specific, well-established process kicked into gear.

Here's how it works from start to finish.

Step one: appointing the banks.

Amazon selected a group of investment banks to manage the transaction. For this deal, the joint book-running managers were Barclays, Goldman Sachs, JPMorgan, and Morgan Stanley. These banks are responsible for structuring the deal, finding investors, and pricing it.

Step two: structuring the deal.

Amazon and its banks decided on the key parameters: how much to raise, how many tranches to issue, what maturities to offer, and whether to use fixed or floating rate notes. Amazon's July deal had eight tranches, with maturities ranging from 3 to 40 years and a mix of fixed and floating rate notes. Offering multiple tranches simultaneously lets Amazon reach different types of investors who have different preferences for duration and rate structure.

Step three: the roadshow and bookbuilding.

The banks go out to institutional investors — the pension funds, asset managers, insurance companies, and others who might want to buy the bonds — and gauge appetite. This process is called bookbuilding. Investors indicate how much they'd be willing to buy and at what yield. The banks compile these indications of interest into an "order book" and use it to determine how to price the final deal.

For Amazon's July deal, the order book peaked at $62 billion — meaning investors wanted to buy $62 billion worth of bonds for a $25 billion deal at initial price guidance. That gave Amazon pricing power: it could tighten the spreads (more on what spreads mean in the next section) and still complete the deal fully.

Step four: pricing and allocation.

Once the book is built, the deal gets priced at a final yield and each tranche gets allocated among investors. The process from announcement to pricing typically happens within a single day for large, well-known issuers like Amazon.

Step five: settlement.

A few days after pricing, the bonds officially settle — money moves from investors to Amazon, and bonds move from Amazon to investors. From that point, the bonds can be traded freely in secondary markets between investors.

The whole process, from mandate to settlement, can take as little as 48 to 72 hours for an investment-grade issuer with a strong credit rating. For a company doing a first-time bond issue or with a weaker credit profile, it typically takes longer and involves more preparation.

This is the concept that confuses people most, so let's be precise about it.

When investors decide what yield they require to buy a corporate bond, they don't think about it in absolute terms. They think about it relative to a benchmark.

In the US, the benchmark is typically US Treasury bonds — bonds issued by the US government, which are considered essentially risk-free because the US government can always print more dollars to repay its debts.

The spread is simply the difference between the yield on a corporate bond and the yield on a comparable Treasury bond.

Here's a simple example.

If a 10-year US Treasury bond currently yields 4.5%, and Amazon's 10-year bond prices at a yield of 5.3%, the spread is 80 basis points. A basis point is one hundredth of one percent, so 80 basis points just means 0.8%.

That 80 basis point spread represents the extra return investors demand for taking on Amazon's credit risk — the small but non-zero risk that Amazon might not pay them back — rather than just holding a risk-free Treasury.

Why spreads matter so much.

Spreads are a real-time indicator of how confident markets are in a company's ability to repay its debts. When spreads are tight — close to Treasuries — it means the market thinks the company is very safe and investors are happy to accept a low premium for lending to it. When spreads are wide — far above Treasuries — it means the market thinks the company carries significant risk and demands a higher premium.

For investment-grade companies like Amazon (rated AA/Aa1 — among the highest possible credit ratings), spreads are typically quite tight. Amazon's July deal priced its 10-year tranche at roughly 80 basis points over Treasuries. Its 40-year tranche priced at around 125 basis points.

Spreads also move with the broader market environment. When investors are nervous — during financial crises, geopolitical shocks, or periods of high uncertainty — spreads widen across the board as investors demand more compensation for risk. When markets are calm and confidence is high, spreads compress.

Here's the signal worth watching right now.

Bloomberg noted last week that outstanding tech bonds weakened in secondary markets after Amazon's deal priced, and that demand for the July deal, at 1.6 times the deal size, was significantly below the March deal's 4-times oversubscription. That suggests the enormous volume of AI-linked corporate debt being issued in 2026 is starting to test investor appetite. $335 billion in AI-related debt globally this year is more than double 2025's total. If supply keeps outpacing demand, spreads will widen — meaning borrowing costs for tech companies rise, which makes future AI infrastructure programmes more expensive to finance.

That feedback loop — AI spending drives debt issuance, debt supply exceeds demand, spreads widen, financing becomes more expensive, spending potentially slows — is exactly the kind of second-order thinking that distinguishes strong candidates in interviews.

Let's zoom out and look at what's happening across the whole sector, because it's genuinely remarkable.

Big Tech is expected to spend over $700 billion on AI infrastructure in 2026 alone. The breakdown is roughly: Amazon $200 billion, Microsoft around $130 billion, Alphabet around $75 billion, and Meta around $60 billion, with others making up the remainder.

For context, the entire US federal highway programme spends around $60 billion a year. The combined AI capex of just four technology companies this year is more than ten times that.

To fund this, these companies have collectively turned to bond markets in a way that has no precedent in the history of the technology sector. Historically, the largest technology companies funded everything from cash. They had so much of it that returning it to shareholders through buybacks was a perennial topic of discussion. The idea that they'd need to borrow was almost hypothetical.

What's changed is the magnitude and speed of the AI buildout.

No company, regardless of how much cash it generates, can absorb a $200 billion annual capital expenditure programme purely from internal resources without either completely depleting its balance sheet or dramatically slowing the investment. Debt markets allow them to maintain balance sheet flexibility while funding the buildout at the pace they believe the competitive landscape demands.

The bond market, in other words, is what's making the speed of the AI infrastructure buildout possible.

There's a broader implication here that's worth sitting with. Every deep dive we've done on the AI trade, on the picks and shovels logic, on hedge funds piling into semiconductors, comes back to the same ultimate question: who's actually paying for all of this?

The answer, increasingly, is debt investors. Pension funds. Insurance companies. Asset managers allocating to investment-grade corporate bonds. The people who bought Amazon's $25 billion deal last week are, in a very real sense, financing the AI data centres that will train the models that will power the next decade of technology.

That's a remarkable thing to be able to articulate clearly in an interview.

Understanding bond markets matters across almost every finance role, and it matters in ways that are more specific than most candidates appreciate.

For investment banking. Debt capital markets, or DCM, is one of the core product groups within any major bank. The team that ran Amazon's $25 billion deal, structuring the tranches, running the bookbuild, pricing the deal, and allocating bonds to investors, sits within DCM. Understanding the mechanics of how that process works is basic commercial awareness for any IB candidate, not optional knowledge.

For asset management and credit. If you're interested in fixed income, corporate credit, or any role that touches bond markets, understanding spreads, duration, credit ratings, and the relationship between corporate bonds and Treasuries is foundational. The AI debt boom is a live, current story that lets you demonstrate that knowledge with real data rather than textbook examples.

For consulting and generalist roles. Capital structure questions, which is essentially the question of how a company should finance its activities, come up in case interviews and in generalist finance roles. Understanding why Amazon chose debt over equity for its AI buildout, and being able to articulate the logic clearly, is a strong signal that you understand corporate finance at a practical level.

The broader point is this. Most candidates who haven't specifically studied bond markets treat them as a black box — something that happens in the background while they focus on equities and headlines. The candidates who can explain how a bond deal actually gets done, what spreads represent, and why the demand cooling in Amazon's latest deal is a signal worth paying attention to, immediately stand out. It's a relatively uncrowded area of knowledge at the candidate level, which makes it disproportionately valuable to have.

If an interviewer asks:

A strong answer could be:

Here's the thing I want you to take from today.

Bond markets aren't a separate, technical corner of finance that you only need to understand if you specifically want to work in fixed income. They're the plumbing through which the majority of corporate and government financing flows. Understanding them is what lets you read a story like Amazon's $25 billion raise and immediately understand not just what happened, but what it means, why the company made that choice, and what the signal in the demand data tells you about the broader market environment.

The AI debt boom is one of the most significant financial stories of 2026. The companies building the infrastructure of the next technological era are doing it, in large part, on borrowed money. Bond investors are, collectively, underwriting the AI transition.

That framing — and the ability to explain the mechanics behind it clearly — is the kind of thinking that makes you sound genuinely prepared for a career in finance.

Not because it impresses interviewers.

Because it's actually true.

Keep at it.

Afzal

Ps. Useful tools for serious candidates: