Salesforce is using a debt-funded buyback to argue that investors are undervaluing the company, even as its latest results show the AI transition is still being judged quarter by quarter.
That is not a routine capital return move. It is a message, sent while Salesforce is trying to convince the market that its old CRM franchise can survive the agentic AI wave and that its newer products can grow fast enough to matter.
In March, Bloomberg reported that Salesforce planned to raise as much as $25 billion in debt to fund repurchases, one of the largest borrowings in its history. Salesforce then moved ahead with a $25 billion accelerated share repurchase, representing half of the $50 billion buyback program its board authorized in February. That matters because the company is not simply returning excess cash. It is adding leverage to accelerate the return, which usually happens when management sees a valuation gap it thinks the market is misreading.
The timing is important. Salesforce has been under pressure from the market's broader fear that autonomous agents and AI assistants could weaken demand for traditional SaaS subscriptions. Bloomberg said the March bond sale drew weaker demand than expected because investors were weighing both the debt-funded buyback and the risk that AI could disrupt software companies' revenue models. In other words, the buyback is not just financial engineering. It is also a vote of confidence in the core business, or at least a claim that the current stock price is too pessimistic.
Salesforce's newest numbers give management more to work with, but they do not end the debate. The company reported first quarter fiscal 2027 revenue of $11.1 billion, up 13 percent year over year, with subscription and support revenue of $10.6 billion, up 14 percent. Current remaining performance obligation rose 14 percent to $33.6 billion, which is useful because it shows contracted demand is still moving in the right direction. The company also raised the midpoint of its full year fiscal 2027 revenue guidance and now expects $45.9 billion to $46.2 billion in revenue.
Those figures make the buyback look less like panic and more like a calculated use of balance sheet strength. But there is a tradeoff. Salesforce also updated its full year operating cash flow and free cash flow growth outlook to roughly 4 percent to 5 percent, reflecting the impact of the $25 billion debt issuance for the accelerated repurchase. The company is still producing large amounts of cash, but it has chosen to put a meaningful amount of financial flexibility into supporting the stock while it tries to prove the AI business can carry more of the growth story.
That makes the debt-funded buyback feel both assertive and defensive. Salesforce wants to support earnings per share, which the market still rewards, while it pushes customers toward Agentforce, Data 360, Slack integrations and other AI products that may take time to change the shape of revenue. The first quarter numbers showed real progress on that front. Salesforce said Agentforce and Data 360 annual recurring revenue reached nearly $3.4 billion, up more than 200 percent year over year, including $1.2 billion of Agentforce ARR.
That is no longer a slide-deck number. It is becoming a measurable business line. Still, scale needs context. Salesforce is guiding to more than $45 billion in annual revenue, so Agentforce and Data 360 remain important but not yet large enough to settle the question investors keep asking: can AI expand the platform faster than it commoditizes parts of the traditional SaaS stack?
What the market is watching
For investors, the key question is whether the buyback can bridge the gap between confidence and proof. If growth stabilizes and Agentforce keeps scaling, the leverage will look like a smart use of a low multiple balance sheet. If revenue softness returns, the company will have used debt to prop up the stock just as the market was beginning to price in slower software growth.
That is why the move matters beyond Salesforce itself. Legacy SaaS leaders are increasingly facing a choice between spending aggressively on AI infrastructure, buying back stock, or trying to do both at once. Salesforce is clearly trying to do both, and that puts it in a different lane from pure-play AI infrastructure companies that are still spending for scale rather than returning capital. It also hints at a broader capital allocation environment in software, where large incumbents may prefer financial defense while waiting for AI products to prove they can become the next growth engine.
Salesforce's latest earnings gave the market more evidence, but not a clean ending. The company is showing stronger AI traction, better revenue growth and a bigger shareholder return at the same time. The next test is whether those pieces reinforce each other or start competing for capital. Until Agentforce becomes too large to dismiss, debt-funded buybacks will read as a confidence signal, but also as a hedge against a slower, more contested transition than management would like to admit.
