Software companies face higher borrowing costs, tougher scrutiny as AI threatens businesses


FILE PHOTO: Figurines with computers and smartphones are seen in front of the words "Artificial Intelligence AI" in this illustration created on February 19, 2024. REUTERS/Dado Ruvic/Illustration/File Photo

Feb 23 (Reuters) - Software companies are delaying debt ⁠deals as higher borrowing costs and tougher scrutiny from lenders weigh on the sector, at a time when mounting pressure from artificial intelligence threatens their business models, industry sources said.

Software firms ⁠both in the U.S. and elsewhere have already paused or postponedfundraising efforts as lenders and investors expect AI to upend the industry. These concerns have been underscored in ‌loan markets, where spreads for risky companies have started to price in more defaults. AI jitters also affected private capital manager Blue Owl, whose shares slid after its latest move to sell $1.4 billion in assets to return money to investors.

"We expect AI disruption risk to be increasingly reflected over 2026 to early 2027, particularly for lower‑quality credit sectors with elevated refinancing needs — and more so in the U.S. than in Europe," said Matthew Mish, UBS' head of credit strategy.

Leveraged loans, especially for U.S. tech companies, have ​begun to price modestly higher defaults. UBS expects defaults to rise 3% to 5% in a scenario of quicker market disruptions, ⁠compared with market expectations for an increase of 1% to 2%.

"The disruption is ⁠going to play out over two years," Mish said. "We ultimately think that the market will price in a majority, but not all of the defaults that we're forecasting."

Even those companies whose debt is deemed ⁠higher ‌quality and less vulnerable to the impact of AI have held off on tapping markets until trading levels recover, one banker said.

The market will closely watch investor reception to Qualtrics, a well-established software maker whose lenders will be in the market next month to raise a $5.3 billion acquisition financing package for its purchase of rival Press Ganey Forsta, a source familiar with the matter said.

Qualtrics declined to ⁠comment. Press Ganey did not immediately respond to a Reuters request for comment.

LEVERAGED LOANS

The potential disruption from AI ​is having a bigger impact on more leveraged loan deals than high-yield ‌bond deals, according to two bankers who declined to be identified discussing transactions.

Technology industry borrowers, of which 60% are in software, account for the largest portion of leveraged loans, according ⁠to Brendan Hoelmer, head of U.S. ​default research at Fitch Ratings.

Tech loans represent 17% of outstanding loans in the leveraged market, valued at$260 billion.

Meanwhile, tech borrowersmake up just 6% of outstanding high-yield bonds totaling $60 billion, Hoelmer noted. Of those, 70% are to software borrowers.

A majority of the software sector's exposure is tied to lower credit ratings - with 50% of the loans holding a "B- or lower" credit rating - loans which typically denote a higher risk of default, Morgan Stanley estimates.

Private credit software and services exposure is about ⁠20%, BNP Paribas analysts estimate.

U.S. stocks have also been roiled by AI, starting with investors dumping shares of ​software companies, then companies in sectors vulnerable to automation. The software index is down 20% so far this year.

Only 0.5% of outstanding software sector loans are due this year, while 6% are due in 2027, Fitch's Hoelmer said. On the high-yield side, only 0.7% of software debt is due this year and 8% in 2027, he added.

Still, companies in the sector that have tried to tap U.S. debt markets have faced significantly higher borrowing ⁠costs from banks to underwrite the debt. Banks marketing the loans also are facing more skepticism from potential investors, according to the two bankers.

Banks likely will ask for higher yields on new debt and deeper discounts on earlier debt, said the first banker, who declined to be named discussing specific deals.

Companies will come off the sidelines when prices improve, the first banker said.

Future deals are also likely to include stricter covenants, or legal protections for investors, to get done, the second banker noted. These include maintenance covenants, which forceborrowers to keep their debt-to-earnings ratios below specific levels, the banker added.

Several planned deals in the tech sector have ​been pulled or delayed since late January. European digital service provider Team.blue postponed an extension of its 1.353 billion euro ($1.60 billion) term loan from September ⁠2029 and a repricing of its $771 million term loan, according to the first banker. Team.blue declined to comment.

There are currently no leveraged loan deals for software companies, as companies and banks wait for trading levels on ​existing debt in the sector to recover from their losses since late January, when AI disruption fears rose.

Meanwhile lower-rated companies with upcoming ‌maturities "are likely to face greater refinancing and default risk in 2026," according to a Moody's Ratings report ​published in January.

"I don't really see software and business services as being hot sectors for issuance over the next year," said Jeremy Burton, portfolio manager on the leveraged finance team of asset manager PineBridge Investments. "The technology is changing so quickly that you've really got to be confident."

($1 = 0.8482 euros)

(Reporting by Matt Tracy and Saeed Azhar, editing by Lananh Nguyen and Diane Craft)

Follow us on our official WhatsApp channel for breaking news alerts and key updates!

Next In Tech News

Indian telecom firm Bharti Airtel to invest $2.2 billion to expand digital lending
US Defense Secretary Hegseth summons Anthropic CEO for tough talks over military use of Claude, Axios reports
Wipro executive says AI is an opportunity, not a threat
UK privacy watchdog warns over AI-generated images in joint statement
‘Resident Evil Requiem’ breathes new life into zombie-like infected
UAE says it foiled a wave of cyberattacks on vital sectors
German digital minister: Solution needed for AI energy consumption
Social media can be addictive even for adults, but there are ways to cut back
You can give old batteries a new life by safely recycling them
Global summit calls for 'secure, trustworthy and robust AI'

Others Also Read