Convertible Bonds Explained: Why Fast-Growing AI Companies Use Them

Fast-growing AI companies need enormous amounts of capital.

But issuing ordinary debt can be expensive, while selling too much equity can dilute existing shareholders.

That is where convertible bonds come in.

AI-cloud company Nscale recently agreed to sell about $3.1 billion of convertible bonds, including $1 billion to Nvidia, as it prepares for a U.S. IPO. Nscale is growing quickly, but it also reported a $1.02 billion net loss in the first half of 2026.

Convertible bonds offer a middle ground between debt and equity.

What Is a Convertible Bond?

A convertible bond starts as normal debt.

The investor lends money to a company.

In return, the investor receives:

  • interest payments
  • repayment at maturity
  • the option to convert the bond into shares

So the security combines:

bond protection + potential equity upside

That can make it attractive to both companies and investors.

Why Companies Use Convertible Bonds

Growth companies often prefer convertibles because they can borrow more cheaply.

Why?

Because investors are willing to accept a lower interest rate in exchange for the possibility of receiving shares later.

Imagine:

Normal bond coupon: 8%

but

Convertible bond coupon: 4% + stock conversion option

The company pays less interest today.

For a capital-intensive AI company, that can save significant cash.

What Is the Conversion Price?

The conversion price determines when the bond can effectively become equity.

Suppose a company’s stock trades at $20.

A convertible bond might allow investors to convert at $30.

If the stock stays below $30, investors may simply keep the bond.

But if the stock rises to $50, converting into shares can become attractive.

That gives investors upside if the company succeeds.

Why Investors Like Convertibles

Convertible bonds can provide a different risk-return profile from ordinary stocks.

If the company performs poorly, investors still hold debt with a claim on repayment.

If the stock performs very well, they may convert and participate in the upside.

That creates an asymmetric structure:

Downside protection from the bond

plus

Upside potential from the shares

It is not risk-free, however.

If the company runs into serious financial trouble, bondholders can still lose money.

The Main Risk for Shareholders: Dilution

Convertibles can eventually create new shares.

That means existing shareholders may own a smaller percentage of the company after conversion.

For example:

100 million existing shares

plus

20 million new shares from convertibles

means existing shareholders now own a smaller share of the business.

This is called dilution.

So convertible financing may protect cash flow today but reduce ownership per share later.

Why AI Companies Are Natural Users

AI infrastructure companies often face a difficult financing problem.

They need large amounts of money for:

  • data centers
  • GPUs
  • power infrastructure
  • networking
  • cloud capacity

But many are still scaling and may not yet generate large profits.

Nscale fits that pattern. Reuters reported that its revenue jumped to $140.6 million in the first half of 2026, while losses remained above $1 billion. It also has more than $103 billion in total contracted value, highlighting both rapid growth and enormous capital needs.

Convertible bonds can therefore help fund growth without forcing the company to issue all the equity immediately.

Expected Return vs Risk

For investors, convertibles sit between bonds and stocks.

FeatureConvertible Bond
Interest incomeYes
Principal repaymentUsually
Equity upsideYes
Dilution riskYes
Credit riskYes
Stock sensitivityIncreases as shares rise

The key question is:

Is the equity upside worth the credit and dilution risk?

For shareholders, the question is slightly different:

Does cheaper financing today create enough future value to offset dilution later?

The Bottom Line

Convertible bonds are useful because they solve a financing trade-off.

Companies get:

lower borrowing costs + delayed equity issuance

Investors get:

bond protection + potential stock upside

But shareholders must watch the conversion terms carefully.

The most important factors are:

coupon + conversion price + maturity + dilution

For fast-growing AI companies, convertibles can be a flexible way to fund expansion.

But whether they create value depends on what the company earns from the capital raised.

For more risk analysis, market education and model-driven tools, sign up to TradingSimuLab and explore Risk Simulation alongside the wider five-model research framework.


SEO Title: Convertible Bonds Explained: Why AI Companies Use Them

Slug: convertible-bonds-ai-companies

Meta Description: Learn how convertible bonds work, including coupons, conversion prices, dilution and why fast-growing AI companies use them to raise capital.

Primary Keyphrase: convertible bonds

Secondary Keyphrases: convertible debt, conversion price, bond coupon, shareholder dilution, AI stocks, growth company financing, hybrid securities, convertible bond investing

Continue exploring TradingSimuLab.

  • Qualcomm vs Nvidia: Can Amazon’s $60 Billion AI Chip Deal Change the Race?

    Qualcomm just gained one of its biggest opportunities yet to challenge the AI-chip leaders. Amazon has entered a long-term partnership with Qualcomm covering custom AI data-center chips and high-speed optical connectivity. Under the agreement, Amazon could purchase up to $60 billion of Qualcomm products and services over time. That does not mean Qualcomm suddenly replaces…

  • ASML’s $400 Million High-NA Machines: Why They Matter to the AI Chip Race

    The next generation of AI chips may depend on machines costing as much as $400 million each. They are called High-NA EUV lithography systems, and only one company makes them: ASML. TSMC, Samsung, SK Hynix and Intel are all moving toward High-NA adoption as chipmakers push toward smaller, faster and more power-efficient semiconductors. The question…

  • China Credit Slowdown: Why Weak Loan Demand Matters forAsian Stocks

    China’s banks are lending again—but borrowers are still reluctant to take on debt. Chinese banks issued just 60 billion yuan of new loans in August 2026, far below market expectations of around 400 billion yuan. Household borrowing also contracted for a sixth consecutive month. That matters far beyond China’s banking system. Weak credit demand can…

  • China Property Reset: Can Beijing Stabilize Four Million Unsold Homes?

    China is trying to reset its property market after years of falling prices, developer failures and weak buyer confidence. The challenge is enormous. China is still dealing with millions of unsold and unfinished homes, while new-home prices fell again in August 2026. The key question is: Can Beijing reduce excess housing supply fast enough to…

  • Why S-REITs Are Raising Billions in 2026—and What Dilution Means for Investors

    Singapore REITs are raising billions of dollars again. By September 10, S-REITs had raised at least S$4.5 billion through equity fundraising in 2026, exceeding the amount raised during the same period last year. The money is largely being used to buy new properties and expand portfolios. But issuing new units creates an important question: Does…

  • S-REIT Yield Spread Explained: Why a 6% Yield Is Not Automatically Cheap

    Singapore REITs currently offer attractive headline income. But a high yield does not automatically mean a REIT is cheap. S-REITs yield about 6.2% on average, while Singapore’s 10-year government bond yield is around 2.36%. That leaves a sizeable income premium for taking REIT risk. The important question is: Is that extra yield compensation for an…

  • DBS vs OCBC vs UOB: Why Singapore Banks React Differently to Interest Rates

    DBS, OCBC and UOB are all major Singapore banks—but interest-rate changes do not affect them in exactly the same way. Higher rates can improve lending margins. Lower rates can squeeze them. But today’s banks also earn heavily from: That means the real question is: Which bank is most dependent on interest income—and which has the…

  • Singapore’s AI Chip Supply Chain: The Stocks Behind the Semiconductor Boom

    Singapore does not have its own Nvidia or TSMC—but it occupies several increasingly valuable parts of the global AI chip supply chain. The city-state specializes in areas such as: Those activities become more important as AI chips grow more complex and expensive. Singapore secured about S$30 billion of semiconductor investment between 2022 and 2025, and…

  • Falling AI Token Costs: Why Cheaper AI Could Drive Another Wave of Chip Demand

    AI is becoming dramatically cheaper to use. That could create more—not less—demand for chips. Silicon Data’s benchmark for the cost of one million AI tokens stood at about $0.97 on August 31, down from roughly $2.07 in May. That is a decline of more than 50% in only a few months. The important question is:…