Oracle's Massive Layoffs: AI Masks Colossal Expenses

Oracle and Mass Layoffs Related to AI

Oracle, one of the giants of American technology, recently announced the elimination of "several thousand jobs." This decision is officially motivated by the rise of artificial intelligence (AI), but it conceals a more complex reality. The company is not simply looking to replace its employees with machines; rather, it aims to reduce its expenses to offset the massive investments in data centers necessary for AI.

The announcement of these layoffs is part of a series of similar decisions made by other large tech companies, which are adjusting their workforces in response to the financial challenges posed by AI. Oracle, in particular, has had to face considerable expenses to support its ambitions in this area.

Colossal Investments in AI

Oracle, once considered a traditional player in tech, has undergone a strategic repositioning around AI in recent years. This shift has allowed the company to return to the forefront, notably through the establishment of small data centers and a focus on inference rather than training.

The company has signed an impressive $300 billion partnership with OpenAI, aimed at building the computing infrastructure necessary for Sam Altman's company to scale up. Oracle is also involved in the Stargate project, launched under the Trump administration, which aims to enhance the technological capabilities of the United States.

However, these investments come at a significant cost. In December, Oracle had to revise its capital expenditure forecasts for fiscal year 2026, adding $15 billion to the already projected $35 billion. To put this in perspective, Oracle spent $21 billion on capex in 2025 and only $7 billion in 2024.

Financial Pressure and Employment Consequences

In light of these enormous expenses, Oracle's cash flow is no longer sufficient. The company announced in February its intention to raise between $45 and $50 billion through debt and equity offerings by 2026 to finance its expansion. This debt financing strategy is shared by other tech giants, such as Google, which is considering issuing long-term bonds.

These massive expenditures are beginning to worry investors. Wall Street analysts predict that Oracle's cash flows will remain negative for several years before investments in AI start to pay off, a turning point expected around 2030. This financial pressure is pushing Oracle to reduce its workforce to regain some financial flexibility.

Other Tech Giants Follow Suit

Oracle is not alone in this situation. Since the beginning of the year, several large tech companies have also made significant layoffs. Salesforce laid off a thousand people, Amazon cut 16,000 positions after already eliminating 14,000 the previous year, and Meta announced a 10% reduction in staff in its augmented reality division to focus on AI. Microsoft, for its part, laid off 15,000 employees last year.

These companies all share a common trait of having heavily invested in AI infrastructure. While many experts fear that AI will destroy numerous jobs, studies conducted so far do not allow for definitive conclusions on this matter.

The Impact of AI on the Labor Market

A study by the Economic Innovation Group, published last summer, highlights that there is no significant impact of AI on the labor market. Will Raderman, a researcher specializing in employment trends, concluded around the same time that AI was not responsible for the weakening of the job market for recent graduates.

According to political scientist Ian Bremmer, other factors, such as trade wars, inflation, and high interest rates, have played a more significant role in the stagnation of the labor market. These factors, particularly rising interest rates, also increase borrowing costs, making investments by tech giants more expensive and pushing them to lay off employees to regain financial margins.

Nvidia, the Exception that Confirms the Rule

It is interesting to note that some companies, like Nvidia, are already benefiting from the rise of AI. Nvidia, a specialist in the chips necessary for training and operating algorithms, has seen its workforce grow from 36,000 employees at the beginning of 2023 to 42,000 today. This growth contrasts with the workforce reductions observed at other tech giants.