After pushing technology stocks to the top of global indices, Artificial Intelligence is also transforming the bond market. To build data centers, purchase processors and secure energy, large technology companies are increasingly turning to debt.
Investors have already provided around $500 billion in funding to AI-related businesses in 2026, according to Goldman Sachs estimates reported by the Financial Times. Around 200 billion would directly concern large technology groups, while in the coming years new issues could overall exceed one thousand billion.
The phenomenon also affects Europe. Meta is preparing, according to rumors gathered by the British financial newspaper, to debut on the euro bond market. These securities can enter bond funds and ETFs, compete with government bonds to attract capital and change the composition of seemingly conservative portfolios.
Why AI needs so much debt
Developing software requires investment, but building AI infrastructure involves costs on another scale. We need data centers, servers, advanced chips, power grids, cooling systems and long-term energy contracts.
Meta expects investments of between 130 and 145 billion dollars for 2026, largely destined for artificial intelligence and infrastructure. In the second quarter its long-term debt rose to 83.7 billion, from 58.7 billion at the end of 2025, according to official data communicated by Meta to the SEC.
In May the group already placed $25 billion in bonds, with maturities between 2031 and 2066. The operation allows the cost of the infrastructure to be spread over many years, instead of immediately using all available liquidity.
The same model concerns, with different characteristics, Alphabet, Amazon, Microsoft and Oracle. Companies considered for years to be cash-producing machines are also becoming large issuers of debt.
The arrival of Big Tech in the European market
The American presence does not start from scratch. An analysis by the European Central Bank on Big Tech issues finds that their euro bonds in circulation are already worth around 40 billion.
These securities represent just over 1% of the main corporate bond indices denominated in euros, but the most significant data concerns new placements: US technology companies have come to generate almost 10% of the gross issues in euros of non-financial companies.
A bond issued in euros by an American company is defined reverse Yankee bond. For the company it means raising money from European investors and diversifying sources of financing. For investors it means being able to purchase Big Tech debt without directly taking on the exchange rate risk between the euro and the dollar.
| What changes | Opportunity | Risk |
| More tech bonds in euros | New offering of issuers with high ratings | Increased market dependence on the AI cycle |
| Very large emissions | Competitive returns possible | Pressure on the prices of bonds already in circulation |
| Maturities up to 30 or 40 years | Coupons cashable for a long time | Strong sensitivity to rate increases |
| Entry into the indices | Greater sector diversification | Concentration in the major issuers |
| Data center financing | Participation in infrastructure growth | Future revenues lower than expected investments |
What do BTPs and government bonds have to do with each other?
Big Tech bonds are not directly perfect alternatives to BTPs. They have different taxation, credit risk and characteristics. However, they compete for a common resource: investor capital.
When a well-known company offers an attractive return, funds, insurers and managers can allocate a greater part of their resources to corporate bonds. Governments and businesses must then deal with an audience called upon to absorb large quantities of debt at the same time.
This does not mean that AI emissions will automatically cause an increase in Italian yields. The sustainability of public finances, the decisions of the ECB and inflation remain crucial. The enormous needs of Big Tech, however, add to the supply of sovereign bonds and may contribute to the pressure on long-term rates.
To understand why the price of an already issued security falls when yields rise, QuiFinanza’s guide on how bonds and obligations work is useful. The effect tends to be more intense on distant maturities: those who buy a thirty-year bond must be willing to tolerate even significant fluctuations before repayment.
The hidden risk in savers’ ETFs
The less obvious point concerns ETFs. A saver can own Meta, Microsoft or Alphabet shares through a Nasdaq, S&P 500 or global equity ETF. At the same time, a global or American corporate ETF can hold bonds issued by the same companies.
The investor thinks he has separated stocks and bonds, but both components may depend on the economic success of the AI. It is not a perfect duplication: shareholders and bondholders have different rights and risks. However, there remains a concentration on the same group of issuers and on the same investment cycle.
QuiFinanza’s previous study on how much AI weighs in stock ETFs already showed the concentration of the main indices. The new wave of bonds now extends the phenomenon to the bond part.
| Check to be carried out | Why it matters |
| Major ETF issuers | It reveals how much individual Big Techs weigh |
| Average duration of the securities | Indicates sensitivity to rate changes |
| Currency and exchange rate hedging | Distinguishes dollar risk from an investment in euros |
| Average rating | Helps evaluate credit quality |
| Yield to maturity | It is more indicative than the coupon alone |
| Presence of the same companies in the stock market | It brings out overall concentration |
Financial opportunity or new risk
The bonds of big tech companies should not be confused with the debt of companies with no revenues.
The risk arises from the size of the investments and their concentration. If the revenues produced by AI grow enough, the debt will have financed infrastructures capable of generating value for decades. If demand disappoints, groups may reduce investments, write down assets or slow programs.
The data to observe is not only how much debt is issued, but the relationship between new investments, cash flows and revenues actually produced by artificial intelligence.
The transformation has already begun: AI no longer occupies only the dynamic part of portfolios. It is also getting into bond funds, traditionally used to reduce risk.
