Oracle signals massive AI opportunity as layoffs hit

Oracle (ORCL) is making a bold push into AI, but it’s doing so while cutting costs.

TD Cowen estimates Oracle cut between 20,000 to 30,000 positions, according to a Forbes report, highlighting a shift as the company reallocates resources toward high-priority growth areas like AI infrastructure and cloud.

At the same time, Oracle has built one of the largest backlogs in the industry, giving it significant visibility into future demand.

The opportunity is clear, but the key question is how quickly Oracle can turn that demand into revenue while bringing enough capacity online to support it.

Oracle’s latest update moved the focus from sales momentum to revenue conversion. The company disclosed backlog (remaining performance obligations) of $553 billion, up 325% year over year, and raised its FY2027 revenue target to $90 billion.

That gives Oracle an unusual level of forward visibility for a company long judged on quarterly bookings and software renewal trends.

Oracle has already locked in a large multi-year base of future business, especially in AI infrastructure and cloud services. That strengthens the case for sustained growth and gives investors more confidence in earnings power beyond the next few quarters.

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But the backlog only matters if Oracle can deliver against it. The key variable is whether new capacity comes online fast enough for workloads to go live and revenue to be recognized on schedule.

If deployment slips, the backlog remains real but becomes less valuable, as investors begin to treat it as delayed demand rather than near-term revenue support.

Oracle also addressed one of the market’s biggest concerns: the cost of building enough AI capacity to meet demand.

Management said in the most recent earnings call that Oracle has secured “More than 10 gigawatts of power and data center capacity,” which is expected to come online over the next three years. It was also noted that partners will be funding more than 90% of expansion capital expenditures.

That matters because AI infrastructure can create growth while crushing free cash flow if the buildout is too capital-intensive.

Oracle’s partner-focused funding model lowers that risk, which allows Oracle to scale data center capacity without taking on the full balance-sheet burden itself.

Oracle’s multicloud database business is becoming a second engine of growth. Revenue from the most recent quarter for databases running across Azure, Google Cloud, and AWS rose 531% year over year, while AI infrastructure revenue grew 243% year over year.

By extending its database business across rival cloud platforms, Oracle is improving both its reach and its economics. Database revenue carries better economics than pure infrastructure, which is more capital-intensive and more vulnerable to price competition.

Oracle’s multicloud database growth is expanding reach and improving margins across rival cloud platforms.Bloomberg/Getty Images · Bloomberg/Getty Images

A larger multicloud database mix improves margins even as Oracle continues to spend heavily to expand OCI capacity and broaden its reach. Customers can adopt Oracle database services without making a full commitment to Oracle’s cloud stack, lowering friction and reducing Oracle’s dependence on displacing larger cloud providers at the platform level.

That means Oracle is extending a high-value software franchise across the broader cloud market.

Faster backlog conversion into revenue would build confidence that demand is translating into earnings.
Continued multicloud database growth across AWS, Azure, and Google Cloud would improve mix and support margins.
Strong multicloud adoption expands Oracle’s reach without needing full cloud platform wins.
Disciplined AI buildout with partner-funded data centers could drive growth with less pressure on free cash flow.

Delays in data center capacity could push out contract fulfillment and revenue recognition.
Slower backlog conversion would weaken confidence in the FY2027 growth path.
Cooling multicloud database growth could reduce margin support in the cloud segment.
Dependence on partners for infrastructure buildout adds execution risk to revenue timing.

Oracle’s setup is stronger than it was a year ago. The company has a $553 billion backlog, a higher FY2027 revenue target, a fast-growing multicloud database business, and a funding structure that reduces the balance-sheet risk of its AI expansion.

But those advantages now raise the bar. Oracle needs to continue to show it can bring capacity online on time and convert existing demand into revenue.

If Oracle executes, the backlog supports a larger and more durable earnings base than the market once assumed. If it misses on capacity or timing, investors will treat the opportunity as real but deferred.

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This story was originally published by TheStreet on Apr 7, 2026, where it first appeared in the Investing section. Add TheStreet as a Preferred Source by clicking here.