In an era marked by rapid advancement in artificial intelligence (AI), big technology companies are stepping up their financial game. As of September and October 2025, these giants have issued a staggering $75 billion in bonds and loans, signaling a significant shift in financial strategy. This marked surge in borrowing is noteworthy as it reflects a decisive change from years of relying on internal cash flows for funding.
Massive Borrowing by Leading Companies
Leading the pack is Meta Technologies , which has secured a whopping $30 billion in funding. Following closely is Oracle —a company in the spotlight for a record-breaking syndicated loan amounting to $38 billion in addition to $18 billion in bonds. Meanwhile, Broadcom rounds up the top three with its own $27 billion in acquisitions. Together, this funding is comparable to the total amount these companies typically borrowed in an entire year.
Importance of the Shift
What does this mean for the technology landscape? The shift from liquidity to debt is a landmark moment in the ongoing race for AI supremacy. Traditionally, these companies financed their expansive infrastructure through robust cash flows. However, the current trend indicates a stark increase in debt that is not linked to bonds, rising from 15% to 30% of their capital. This transition highlights a new era where cash reserves are no longer seen as the primary avenue for growth and stability.
The Money Trail
As mentioned, Oracle has made significant headlines with its $38 billion syndicated loan aimed at bolstering its data centers . This kind of financial maneuver is unprecedented for the company and represents a bold step into the realm of external financing. Similarly, Meta intends to allocate its $30 billion towards the development of its campuses situated in Virginia and Oregon, thus reinforcing its commitment to growth in the tech sector. Broadcom, on the other hand, plans to utilize its funds primarily to enhance its semiconductor division along with its network equipment capabilities.
The Growing Risk
However, this surge in borrowing comes with its own set of challenges. Currently, the interest obligations on this substantial debt consume 15% of these companies’ operating profits—up from 10% a year earlier. With corporate bonds nearing their costliest levels since 2022 , the landscape of borrowing appears treacherous. Should the energy bills increase by as much as 20% —a scenario that seems highly plausible given the current stress on electrical networks—or if the anticipated profits from AI lag behind expectations, the credit ratings of these companies could face downgrading, triggering a domino effect that could destabilize the market.
Bright Side Amid Risks
Despite these risks, large investors continue to purchase these bonds. The attractive returns of 6% are luring in capital, particularly as official interest rates stand at 3.75% . For many investors, lending to tech companies appears to be a smart choice. However, any abrupt change in interest rates could render these bonds significantly less valuable, leading to a sudden downturn in investor confidence.
Balancing Debt and Innovation
At this juncture, although debt serves as a catalyst for the AI revolution , it simultaneously adds layers of fragility to these organizations. The constant influx of investment underscores their relentless pursuit of innovation. Yet, the possibility of a return to inflation or stagnant profits looms large, casting a shadow over the very debt that is intended to facilitate progress. Consequently, the same financial commitments that accelerate technological advancement could potentially morph into a liability.
For now, investors seem to be reaping the benefits, but they do so while bearing the weight of significant risk. The balance between fostering innovation in the tech sector and managing burgeoning debt will undoubtedly remain a pivotal narrative as we move forward.
In summary, the vast borrowing spree by major technology companies signals a crucial moment in their financial strategies. While it can accelerate their growth within the competitive AI landscape, the accompanying risks cannot be ignored.
Featured image | Towfiqu Barbhuiya