Oracle Has Begun Another Round Of Layoffs, Days After Reporting 121% Cloud Growth

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Oracle began a fresh round of layoffs on Monday, with affected employees receiving termination emails at around 6am.

The notifications, sent from Oracle Leadership, told recipients their role had been eliminated as part of a broader organisational change and that the day would be their last working day. The message directed employees to sign termination paperwork through DocuSign and to submit a personal email address for subsequent correspondence, noting that access to computer, email, voicemail and files would be deactivated shortly.

Several accounts describe system access being withdrawn before the emails arrived. Federated logins were disabled at around 4am Eastern Time and Slack access stopped between 5am and 5.30am, with the emails following about half an hour later.

Affected staff have been reported in the United States, India and Canada. Oracle has not disclosed a figure for this round. An internal document indicated some teams faced reductions in the double digits as a percentage of headcount, with cuts reported across Oracle Cloud Infrastructure teams including engineering roles.

United States employees are being offered four weeks of base pay plus one additional week for each completed year of service, with a reported cap of 26 weeks.

The company has expanded its fiscal 2026 restructuring plan to a projected $2.8 billion, having added $700 million to an earlier $2.1 billion estimate, primarily to cover severance and facility exits.

Oracle employed about 141,000 people as of 31 May, down from roughly 162,000 a year earlier. That reduction of around 21,000 roles, or 13 per cent, was disclosed in its annual filing and reported previously.

The cuts follow first-quarter results for fiscal 2027 in which cloud infrastructure revenue rose 121 per cent to $7.4 billion.

Two numbers from the same fortnight explain this better than the email does.

Cloud infrastructure revenue rose 121 per cent to $7.4 billion. Cash flow in the most recent quarter was negative $5.4 billion.

Oracle is not cutting because business is poor. It is cutting because building gigawatt-scale data centres for AI customers, OpenAI among them, consumes cash faster than a fast-growing cloud business generates it. Land, power, cooling and specialised hardware all have to be paid for before the revenue they support arrives.

That money has to come from somewhere. Raising more debt is one option. Reducing operating expenditure is another, and it is the one visible here. The $700 million added to the restructuring budget is earmarked for severance and facility exits, which is the accounting description of removing people and the buildings they worked in.

So the honest framing is not that Oracle is struggling. It is that Oracle is converting operating cost into capital expenditure, and salaries are the largest operating cost a software company has.

The same pattern is visible across the AI buildout. SoftBank is listing SB Energy partly to move data centre spending off its own balance sheet. Nvidia has been guaranteeing revenue floors so lenders will finance capacity. Oracle is funding its share from payroll.

This is a different category of layoff from most of the ones reported this year, and the distinction is worth holding.

When Uber cut 3,300 roles this month, its chief executive pointedly declined to blame artificial intelligence, describing instead an organisation carrying too many layers. When Zomato closed its Hyderabad support centre, the work moved to external partners and automation. Both were about the cost of doing the same work.

Oracle's cuts are about doing different work. The company is not shrinking because demand fell. It is redirecting money from salaries to concrete, power and silicon, because that is where its growth now comes from. The restructuring line and the capital expenditure line are connected.

That produces an uncomfortable proposition for anyone working in enterprise software. Historically, a business unit that grew protected the people inside it. In an infrastructure-led AI cycle, a growing business can require fewer of them, because the growth is bought with capital rather than staffed with headcount. Cloud infrastructure revenue rising 121 per cent and thousands of jobs going in the same fortnight is not a contradiction. It is the model working as designed.

The execution has drawn separate criticism, and fairly. Disabling logins before sending notifications means some employees learned their position had been eliminated by being locked out of it. The sequencing is presumably a security decision. It is experienced as something else.

For India the relevant detail is that staff here are among those affected, at a moment when the country is otherwise gaining technology roles through capability centres. Both things are happening at once, and to broadly similar people.

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