Oracle plans more layoffs as AI spending surges. Is the AI jobs apocalypse finally here?

Oracle is reportedly preparing for another round of layoffs this month, even as the technology company continues to spend heavily on artificial intelligence infrastructure. The reported job cuts come just months after Oracle's workforce fell by about 21,000 employees during its 2026 financial year, raising fresh questions about whether AI is finally beginning to have a major impact on jobs.

According to a recent Business Insider report, Oracle has asked managers to identify employees who could be affected by another round of workforce reductions. The cuts are reportedly expected before the beginning of the company's second quarter of fiscal 2027 on September 1, with some teams potentially facing reductions in the double digits.

Oracle has not officially confirmed the reported August layoffs.


The latest development comes after Oracle's workforce declined by about 13%, or roughly 21,000 employees, during fiscal 2026. The company had about 141,000 employees as of May 31, 2026, compared with about 162,000 a year earlier. Oracle spent $1.84 billion on severance and other exit costs linked to restructuring during the year.

Importantly, Oracle's own regulatory filing said the adoption and deployment of AI technologies across its operations had resulted in workforce reductions and could continue to result in further reductions.

At the same time, Oracle is aggressively expanding its AI infrastructure business. The company reported record fiscal 2026 revenue of $67.4 billion, up 17% year-on-year, while cloud infrastructure revenue jumped 77% to $18.1 billion. Oracle also raised $43 billion in debt financing during fiscal 2026 as it invested in its AI cloud infrastructure expansion.

That makes Oracle an important case study in the debate over AI and jobs. The company is cutting its workforce while simultaneously spending billions to build the infrastructure needed for the AI boom.

AI jobs apocalypse has not arrived yet

However, Oracle's layoffs should not be interpreted as evidence that an economy-wide AI jobs apocalypse has arrived.

A recent analysis cited by The Guardian from the Stanford Institute for Economic Policy Research found little evidence so far that AI exposure has caused major job displacement across the broader labour market. Since 2022, when ChatGPT was launched, unemployment among workers in the 20% of occupations most exposed to AI increased by 0.77 percentage points, compared with a 0.85 percentage-point increase among workers in the least-exposed occupations.

The finding suggests that, at least so far, workers in AI-exposed occupations have not experienced a dramatically worse employment outcome than workers in less-exposed occupations.

Bank of America has reached a similar conclusion in a separate analysis of 206 industries. Its economists found that employment in industries with greater AI exposure has largely moved sideways since ChatGPT's launch, while less-exposed industries grew by about 2%, reported Tradingview. The analysis found virtually no correlation between AI exposure and employment growth.

In other words, the data does not yet show AI wiping out jobs across the economy.

But AI may already be changing who gets hired

The bigger change could be taking place beneath the headline unemployment figures.

The Guardian report notes that AI is increasingly changing the nature of jobs rather than simply eliminating them. Employers are demanding AI skills, consolidating roles and raising expectations around productivity, speed and self-sufficiency.

About 74% of employers surveyed by ZipRecruiter reportedly consider AI skills a strong advantage or requirement, while half expect candidates to have practical or advanced AI skills from their first day.

This could be particularly important for younger workers and recent graduates.

Recent graduates have faced higher unemployment than the overall workforce, with unemployment among recent graduates reaching 5.6% compared with a national average of 4.2% earlier this year, according to the Guardian report. Bank of America has also pointed to weaker employment outcomes among young workers and said AI may be contributing to the trend.

Stanford research cited by BofA found that employment among workers aged 22 to 25 in occupations highly exposed to AI had fallen 13% since 2022.

That does not prove that AI caused the entire decline. But it could indicate where the technology's impact becomes visible first: not through mass unemployment, but through fewer entry-level opportunities.

AI is also creating jobs

There is another side to the story.

Bank of America's analysis found that AI-related investment is creating employment in sectors such as construction and manufacturing. Nonresidential construction added about 95,000 jobs year-to-date, while AI-related manufacturing added another 32,000, with the two sectors accounting for roughly a quarter of new private-sector jobs this year, according to the report.

The reason is simple. Building an AI economy requires physical infrastructure — data centers, power systems, cooling equipment, semiconductor manufacturing and construction workers.

This means AI can eliminate or reduce demand for certain tasks while simultaneously creating demand for workers elsewhere.

Even AI leaders have changed their tone

The changing data is also reflected in comments from some of the technology industry's most prominent leaders.

OpenAI CEO Sam Altman, who previously warned about the possibility of major job losses from AI, acknowledged in May that his expectations about the effect on entry-level white-collar employment had been wrong so far.

"I'm delighted to be wrong about this," Altman said, adding that he had expected more entry-level white-collar jobs to be eliminated by that point. He said his "intuitions were just off" regarding the economic impact.

Amazon founder Jeff Bezos has gone even further in challenging the idea of mass unemployment. Speaking at VivaTech in Paris in June, Bezos said he believed AI would create a labour shortage rather than make humans redundant.

Anthropic CEO Dario Amodei had previously warned that AI could eliminate as much as half of entry-level white-collar jobs and push unemployment to 10-20%. His warnings were aimed at encouraging companies and policymakers to prepare for the possible impact of rapidly advancing AI.

So, is the AI jobs apocalypse finally happening?

Oracle's reported layoffs show that AI-linked workforce reductions are real. But one company's layoffs — even a major one — cannot establish that an economy-wide jobs apocalypse is underway.

The broader data currently points to a more complicated picture.

AI appears to be changing jobs, reducing demand for some tasks, raising the skills expected from workers and potentially weakening entry-level hiring, while simultaneously creating jobs linked to AI infrastructure and deployment.

That means the first stage of the AI labour-market disruption may look very different from the mass unemployment scenario once predicted by some technology leaders.

The bigger question may not be whether AI will eliminate millions of jobs overnight.

It may be whether companies will increasingly need fewer people to perform the same amount of work — and whether the economy can create enough new jobs to absorb the workers displaced by that productivity shift.

Oracle's latest reported layoffs suggest that question is becoming harder to ignore.