AI Selloff Shifts Convertible Bond Market Power Toward Investors

AI Infrastructure Selloff Gives Convertible Bond Investors Greater Bargaining Power as Technology Financing Costs Rise

New York, November 13, 2026: A sharp selloff in artificial intelligence-related stocks is shifting negotiating power toward convertible bond investors, forcing technology companies seeking fresh capital to offer more attractive terms after months of exceptionally strong demand for AI-linked financing.

The change follows a record year for US convertible bond issuance, during which companies raised substantial amounts to fund artificial intelligence infrastructure, data centre expansion and other technology investments.

US convertible bond sales reached approximately $153.6 billion through the end of October 2026, compared with $98.6 billion during the corresponding period a year earlier.

Around 70% of this year's issuance was linked to artificial intelligence, reflecting the scale of financing required to build computing infrastructure.

However, recent declines in technology stocks and growing concerns about the financial sustainability of AI investment have changed market conditions.

Investors are now demanding higher interest payments, lower conversion premiums and more favourable pricing before committing capital to new convertible bond offerings.

Recent transactions involving Dropbox and Akamai Technologies illustrate the shift.

The developments suggest that companies can still access convertible financing, but the terms are becoming less favourable for borrowers.

For AI infrastructure providers, which require billions of dollars in upfront investment, the change could increase financing costs and complicate expansion plans.

Convertible Bond Investors Gain Negotiating Power

Convertible bonds are debt securities that allow investors to convert their holdings into shares under specified conditions.

They combine characteristics of conventional bonds and equity investments.

Investors receive interest payments while retaining the possibility of benefiting from increases in the issuer's share price.

For companies, convertible bonds can provide financing at lower interest rates than traditional debt because investors receive an equity conversion option.

During periods of strong stock market performance, investors may accept relatively low coupons and high conversion premiums.

However, falling share prices reduce the potential value of the conversion option.

As a result, investors may demand higher interest rates or more favourable conversion terms.

This change is now becoming visible across the US technology financing market.

US Convertible Bond Issuance Reaches $153.6 Billion

The US convertible securities market experienced a substantial expansion during the first ten months of 2026.

Issuance reached approximately $153.6 billion by the end of October.

This compares with $98.6 billion during the same period in 2025.

The increase represents approximately 56% year-on-year growth.

Artificial intelligence-related companies accounted for around 70% of issuance.

The figures highlight the importance of convertible bonds as a funding source for technology companies.

However, the volume of issuance has also increased investors' exposure to a relatively concentrated set of industries and investment themes.

As market sentiment weakens, investors are becoming more selective about additional commitments.

AI Convertible Bond Market: Key Developments

The figures show how rapidly market conditions have changed from the more issuer-friendly environment earlier in the year.

Convertible Bond Market Falls 17.5% From June Peak

The US convertible bond market has experienced a substantial correction.

A widely followed convertible bond index declined approximately 17.5% from its June peak.

The market also lost more than 6% during October.

That represented its worst monthly performance since the 2008 global financial crisis.

Convertible securities are particularly sensitive to equity market movements because their value partly depends on the issuer's share price.

When technology stocks decline sharply, the equity conversion feature becomes less valuable.

Investors then place greater emphasis on credit quality, interest payments and repayment risk.

The recent selloff has therefore changed how investors assess new convertible offerings.

Dropbox Offering Shows Lower Conversion Premiums

Dropbox's recent $1.1 billion convertible bond offering provides an example of the shift in financing conditions.

The transaction carried a conversion premium of approximately 25%.

This was below the third-quarter market average of around 35%.

The conversion premium determines how far the company's share price must rise above a reference level before conversion becomes economically attractive.

A lower premium generally gives investors a more favourable opportunity to benefit from future share-price appreciation.

For the issuer, however, it can increase the potential for shareholder dilution if the bonds are converted.

The Dropbox transaction suggests that investors are demanding more attractive equity conversion terms.

It also demonstrates that the change is affecting technology issuers beyond companies directly involved in AI data centre construction.

Akamai Pays Higher Interest on Convertible Debt

Akamai Technologies has also issued convertible bonds under terms reflecting changing investor expectations.

Its recent offering carried an interest rate of approximately 1%.

This compares with a recent market average of around 0.75%.

The difference represents an increase of 25 basis points.

Although the absolute coupon remains relatively low, the increase is significant in the context of convertible financing.

Investors receive both interest payments and an equity conversion option.

When equity market conditions weaken, they may demand greater income compensation.

A higher coupon increases the issuer's financing costs.

The Akamai transaction illustrates how changing market sentiment can affect debt pricing even when companies remain able to raise capital.

How Convertible Bonds Work

A convertible bond begins as a debt instrument.

The issuing company receives capital and agrees to make interest payments according to the bond's terms.

The investor also receives the right to convert the bond into shares under specified conditions.

For example, a company might issue a convertible bond with a conversion price 25% above its reference share price.

If the share price rises sufficiently, conversion may become attractive.

If the share price remains below the conversion price, investors may prefer to retain the bond and receive interest and principal payments, subject to the issuer's ability to meet its obligations.

The conversion option makes these securities different from conventional bonds.

However, investors remain exposed to credit risk and market volatility.

Why Falling Stock Prices Change Convertible Bond Pricing

Convertible bond investors assess both the debt component and the potential value of receiving shares.

When share prices are rising, the conversion option may become more valuable.

This can allow issuers to offer lower interest payments or higher conversion premiums.

When share prices fall, the probability of profitable conversion may decline.

Investors then demand compensation through other terms.

These can include higher coupons, lower conversion premiums or stronger investor protections.

The recent AI-related equity selloff has therefore reduced the pricing advantage previously enjoyed by technology borrowers.

Companies seeking new capital may need to accept less favourable terms to complete transactions.

AI Infrastructure Financing Enters a More Selective Phase

Artificial intelligence infrastructure requires substantial upfront investment.

Companies must acquire advanced processors, networking equipment, data centre facilities and electricity infrastructure.

Many projects involve spending billions of dollars before the associated computing services generate meaningful revenue.

This creates a financing gap.

Companies may use equity issuance, conventional bonds, convertible notes, bank loans or private credit to fund expansion.

During the earlier phase of the AI investment cycle, strong investor enthusiasm made financing relatively accessible.

However, the recent selloff has increased scrutiny of debt-funded growth.

Investors are now evaluating whether future cash flows can justify the scale of borrowing.

CoreWeave Debt Pressure Highlights Credit Risks

CoreWeave has become an important example of changing investor sentiment toward AI infrastructure financing.

The company provides high-performance computing capacity to customers developing and operating artificial intelligence systems.

Its business requires substantial investment in processors and data centre infrastructure.

CoreWeave has relied on a combination of debt, equity and customer-backed financing arrangements to support expansion.

Recent declines in its bonds have increased attention on borrowing costs.

In October, yields on some of the company's debt rose to approximately 15%–16%.

The increase reflected heightened investor concern about leverage, financing requirements and the timing of future cash generation.

Although CoreWeave has substantial customer commitments, the company must still finance infrastructure before collecting all associated revenue.

AI Companies Face a Funding Mismatch

A central challenge for AI infrastructure providers is the difference between investment timing and revenue generation.

Computing equipment and data centres often require large payments before operations begin.

Customer revenue may then be collected over several years.

This creates a mismatch between upfront spending and future cash receipts.

Companies may rely on borrowing to bridge the gap.

However, higher financing costs can reduce project profitability.

Construction delays may create additional pressure by postponing revenue while interest expenses continue.

The recent market correction has increased investor attention to these risks.

Nebius and Other AI Cloud Providers Face Scrutiny

Specialised AI cloud companies, sometimes described as neocloud providers, are also facing increased scrutiny.

These businesses rent computing capacity to artificial intelligence developers and enterprise customers.

Their expansion depends on access to advanced processors, suitable data centre facilities and financing.

Nebius, CoreWeave and other infrastructure providers have experienced significant share-price volatility.

Investors are evaluating the relationship between contracted demand, capital expenditure and future cash generation.

Strong customer demand does not automatically eliminate financing risk.

Companies must bring infrastructure online on schedule and operate it profitably.

The recent selloff has made these execution risks more important to capital providers.

Banks and Private Credit Investors Become More Cautious

The shift extends beyond convertible bonds.

Banks and private credit investors have also become more selective about AI infrastructure lending.

Some lenders are reviewing their exposure to data centre projects and specialised cloud providers.

They are examining customer contracts, repayment structures and the financial resilience of borrowers.

Lenders may demand stronger collateral or tighter contractual protections.

They may also limit additional exposure to borrowers with high leverage.

This reflects concerns about concentration risk within the rapidly expanding AI financing market.

However, financing remains available for projects with credible cash flows and suitable security arrangements.

The market is becoming more selective rather than uniformly closed.

Hyperscaler Debt Issuance Could Reach $420 Billion in 2027

The scale of future financing requirements remains substantial.

Goldman Sachs Research projects that global hyperscaler debt issuance could reach approximately $420 billion in 2027.

This compares with an estimated $250 billion for fiscal 2026.

The projection implies an increase of more than 60%.

Hyperscalers operate large cloud computing platforms and data centre networks.

Their financing requirements are influenced by artificial intelligence investment, infrastructure construction and broader capital allocation decisions.

However, these companies often have stronger balance sheets and cash flows than smaller infrastructure providers.

Consequently, their borrowing costs and access to financing may differ significantly.

The forecast demonstrates the potential scale of future debt supply but remains subject to changing investment plans.

Investors Demand Stronger Credit Protection

Credit investors are increasingly evaluating the structure of AI-related financing agreements.

Important considerations include the financial strength of customers, the quality of collateral and the timing of expected cash flows.

Some loans are secured by computing equipment or contractual payment commitments.

Others rely more heavily on the borrower's overall financial position.

Investors may seek restrictions on additional borrowing, minimum financial performance requirements or stronger security arrangements.

These provisions can reduce lender risk.

However, they may also limit the financial flexibility of borrowers.

The shift in bargaining power could therefore influence both financing costs and the structure of future AI infrastructure projects.

GPU Collateral Creates Additional Risks

Graphics processing units are among the most valuable assets used in AI computing infrastructure.

Some financing arrangements use these processors as collateral.

However, advanced computing equipment can lose economic value as newer generations become available.

The useful life of a processor depends on performance requirements, customer demand and technology development.

If equipment values decline faster than expected, lenders may face greater collateral risk.

This makes financing structures based solely on hardware value potentially vulnerable.

Some investors therefore prefer arrangements supported by long-term customer contracts or other cash-generating assets.

However, contractual arrangements also carry risks if customers delay, reduce or terminate commitments.

Customer Contracts Become More Important

AI infrastructure providers often secure multiyear agreements with major technology companies.

These contracts can support revenue visibility.

They may also help borrowers obtain financing.

However, lenders must evaluate the specific terms of each agreement.

Important considerations include payment schedules, service obligations, termination provisions and customer creditworthiness.

A large contract value does not necessarily mean that all associated revenue is guaranteed.

The infrastructure provider must deliver the required services.

Construction delays or equipment shortages can affect performance.

As a result, investors are placing greater emphasis on contract quality rather than headline backlog figures alone.

Convertible Financing Can Reduce Immediate Interest Costs

Convertible bonds remain attractive to some technology companies because they can offer lower interest costs than conventional debt.

The equity conversion option provides potential additional value to investors.

This may allow borrowers to reduce cash interest payments.

For companies investing heavily in infrastructure, preserving cash can be important.

However, convertible bonds introduce other considerations.

If the share price rises and conversion occurs, existing shareholders may experience dilution.

If the share price remains weak, the company may need to repay the debt at maturity.

The financing instrument therefore does not eliminate financial risk.

Its suitability depends on the issuer's capital structure and future cash-generation prospects.

Lower Conversion Premiums Increase Dilution Potential

A lower conversion premium makes it easier for a company's share price to reach the level at which conversion becomes economically attractive.

This can improve the potential return for investors.

However, it may increase the likelihood that bonds convert into equity.

For existing shareholders, conversion can increase the number of outstanding shares.

The resulting dilution may affect earnings per share and ownership percentages.

Companies sometimes use hedging transactions to manage potential dilution.

However, such arrangements can involve additional costs.

As investors demand lower conversion premiums, technology issuers must balance immediate financing benefits against potential future dilution.

Higher Coupons Raise Borrowing Costs

The coupon is the interest rate paid on a bond.

When investors demand higher coupons, issuers face greater interest expenses.

For companies with substantial debt, even relatively small changes in financing costs can become meaningful.

Higher interest payments reduce cash available for other purposes.

This can affect investment, operations and debt repayment.

For AI infrastructure providers, the effect may be especially important because many projects require years of capital investment.

However, the impact depends on the amount borrowed and the terms of the financing.

The recent increase in convertible bond coupons signals a broader repricing of technology financing risk.

Non-AI Issuers Attract Investor Interest

Recent convertible offerings from companies outside the most heavily exposed AI infrastructure categories have attracted investor demand.

Transactions involving Xcel Energy and SS&C Technologies traded above their offering prices.

The performance suggests that investors are distinguishing between different types of issuers.

Companies with established cash flows or lower direct exposure to AI infrastructure spending may appear more attractive under current market conditions.

However, the relative attractiveness of individual securities depends on their specific financial characteristics.

The market response does not imply that all non-AI issuers are low risk.

Instead, it indicates a more selective approach to credit and equity exposure.

AI Infrastructure Investment Faces Sustainability Questions

The global AI investment cycle has generated substantial demand for computing equipment and data centres.

Major technology companies are spending heavily to expand infrastructure.

However, investors are questioning whether future AI-related revenue will justify the scale of capital expenditure.

The concern is particularly significant for companies relying on external borrowing.

Higher financing costs can make projects less profitable.

Delays in construction or customer adoption may further reduce expected returns.

Nevertheless, demand for AI computing remains strong in several market segments.

The current debate concerns the financing and economics of expansion rather than establishing that demand has disappeared.

Market Selloff Could Delay Data Centre Projects

If financing becomes more expensive or difficult to obtain, some AI infrastructure companies may reconsider expansion plans.

Projects with uncertain customer demand or limited financial flexibility could face delays.

Developers may prioritise facilities closer to completion.

They may also focus on projects supported by stronger customer commitments.

This could affect demand for processors, networking equipment and other infrastructure components.

However, well-financed companies may continue investing despite weaker market sentiment.

The overall impact will depend on the duration of the financing squeeze and the ability of borrowers to secure alternative capital.

Technology Companies Explore Alternative Funding

AI infrastructure providers have several potential financing options.

These include conventional debt, convertible bonds, private credit, equity issuance and customer prepayments.

Some companies also use asset-backed structures linked to computing equipment or contracted revenue.

Each approach involves different costs and risks.

Equity issuance can dilute existing shareholders.

Conventional debt increases fixed repayment obligations.

Convertible bonds combine debt obligations with potential equity dilution.

Customer prepayments may improve liquidity but create future service commitments.

Companies must select financing structures that align with expected cash flows and operational requirements.

Implications for Global Financial Markets

The repricing of AI-related financing can influence broader capital markets.

Technology companies have become significant borrowers as infrastructure spending increases.

Changes in investor demand can affect bond yields, credit spreads and equity valuations.

Large financing requirements may also influence the availability of capital for other industries.

However, the effects are not uniform.

Companies with strong cash flows and established credit profiles may retain favourable access to capital.

More leveraged borrowers may face substantially higher costs.

The current market environment highlights the importance of distinguishing between individual credit risks.

Implications for India and Emerging Markets

Global technology financing conditions can affect investment sentiment toward emerging markets.

India's technology and data centre industries participate in the broader AI infrastructure ecosystem.

Domestic businesses are expanding cloud computing, digital services and data centre capacity.

However, international financing costs can influence the economics of large infrastructure projects.

A sustained increase in global borrowing costs could affect investment decisions.

Foreign portfolio flows may also respond to changes in global risk appetite.

Nevertheless, India's financing conditions depend on domestic interest rates, economic growth and financial market liquidity.

The impact of the AI financing selloff will therefore vary across businesses and sectors.

Outlook for Convertible Bond Issuance

Market participants expect convertible bond issuance to recover as borrowers adjust to changing conditions.

However, the timing remains uncertain.

AI infrastructure companies may return to the market because their capital requirements remain substantial.

Investors are likely to continue evaluating credit quality and equity conversion terms carefully.

Issuers with stronger balance sheets and predictable cash flows may obtain more favourable pricing.

Highly leveraged companies may need to offer greater compensation.

The next phase of issuance will provide evidence of how permanently market conditions have changed.

For now, the balance of negotiating power has shifted toward investors.

Conclusion

The recent AI infrastructure market selloff has strengthened the negotiating position of convertible bond investors after a record period of technology-related issuance.

US convertible bond sales reached approximately $153.6 billion through October 2026, with around 70% linked to artificial intelligence.

However, a 17.5% decline in the convertible bond market from its June peak has changed investor expectations.

Recent offerings from Dropbox and Akamai demonstrate the shift toward lower conversion premiums and higher interest payments.

At the same time, financing pressure affecting AI infrastructure providers has increased scrutiny of debt-funded expansion.

Companies continue to require substantial capital for processors, data centres and computing infrastructure.

However, access to funding increasingly depends on credit quality, contractual protections and the credibility of future cash flows.

For investors, the market correction has created an opportunity to negotiate more favourable terms.

For technology companies, it signals that financing the next phase of AI infrastructure growth may become more expensive and more demanding.