Oracle said on October 28, 2026, that it will cap new borrowing and fundraising at $20 billion through the end of fiscal year 2030, and that it expects a minimum of $30 billion in cash flow in fiscal year 2029.

The announcements came at Oracle's investor day in Las Vegas, where executives sought to ease concerns about the cost of the company's massive AI buildout. The message was straightforward: the growing backlog of AI contracts should eventually bring in enough cash to help pay for the infrastructure needed to fulfill them.

The ceiling Oracle set, and the timeline behind it

Oracle's finances will not improve overnight. The company expects capital spending to peak in fiscal 2027 and 2028, and CFO Hilary Maxson said free cash flow — the money left after covering operations and capital spending — should turn positive in the second half of fiscal 2028. Those dates give the market concrete checkpoints for judging whether the plan holds.

Under the plan, Oracle will raise no more than $20 billion in additional funding, comprising $10 billion in equity and $10 billion in gross debt. The ceiling excludes refinancing — swapping maturing debt for new debt does not count against it — and comes on top of the $20 billion share sale completed earlier in fiscal 2027. By fiscal 2029, the company anticipates it will be able to sustain growth without requiring any new external investment.

Oracle also aims to keep net debt at no more than 3.5 times its adjusted EBITDA, a measure of operating profitability that serves as a defined ceiling on borrowing relative to earnings. Investors responded positively, sending Oracle shares up more than 12% on October 28.

Why the pledge was necessary

Oracle had clear reasons to reassure the market. The company reported negative free cash flow of $23.7 billion in fiscal 2026, followed by another $5 billion outflow in the first quarter of fiscal 2027.

Demand is not the problem. First-quarter revenue rose 30% to $19.3 billion, while cloud infrastructure sales surged 121% to $7.4 billion. The difficulty is timing: building data centers requires heavy spending long before customers begin paying for the services, and Oracle already carried $125.34 billion in borrowings as of August 31, 2026.

Backlog is not revenue, and OpenAI is most of it

Oracle's $664 billion backlog looks impressive, but it is not money in the bank. The figure represents contracted future business the company has yet to deliver. According to Oracle's SEC filing, roughly half of the backlog should convert into revenue within 36 months.

A reported $300 billion computing deal with OpenAI, spread over five years, adds another concern: Oracle is counting heavily on a single customer to fulfill a substantial part of its business.

To ease the financial burden, Oracle is turning to vendor financing, customer-supplied hardware, and advance payments — steps that bring cash in sooner or shift part of the upfront equipment bill to customers and suppliers. Customers prepaid $11.36 billion of first-quarter capital spending, as Cryptopolitan reported.

What the AI math outside Oracle says

The questions facing Oracle extend across the industry. J.P. Morgan expects global AI capital expenditure to reach $900 billion in 2026 and total $5.5 trillion by 2030, and companies are increasingly relying on debt and equity to finance their expansion. Whether AI will generate enough revenue to justify those investments remains an open question.

Bain estimates the industry could need nearly $6 trillion in annual revenue by 2031 to sustain its infrastructure spending, with existing consumer and enterprise applications still leaving a $4.2 trillion gap.

The stakes are high. On October 14, 2026, Gartner warned that more than $3.5 trillion in AI infrastructure spending could be at risk of write-downs by the end of 2030. The firm estimates that data-center operators would need $8.5 trillion in revenue through 2030 to recover their costs and earn a 12% return, but expects them to generate no more than $3.6 trillion.

Those figures frame the challenge behind Oracle's promises. If the company meets its objectives, the outcome would support the case that large-scale AI investments can eventually be justified. If it misses its targets, the shortfall would add to the burden on a company carrying heavy debt and depending heavily on OpenAI.