Oracle Weighs More Job Cuts as AI Spending Climbs
Source: Fintech News SG
Oracle could cut more jobs this month as it pours money into cloud and AI infrastructure, according to Business Insider. The process is reportedly targeted for completion before 1 September, with managers asked to flag employees who could be affected.

Oracle could cut more jobs this month as it pours money into cloud and AI infrastructure, according to Business Insider. The process is reportedly targeted for completion before 1 September, with managers asked to flag employees who could be affected. Some parts of the business could face sizeable cuts.
The potential cuts arrive alongside striking growth numbers: revenue rose 17% to US$67.4 billion in fiscal 2026, while cloud infrastructure revenue jumped 77%. But the AI buildout is expensive — free cash flow fell to negative US$23.7 billion — and Oracle, like other enterprise software giants, is squeezing costs on the people side to fund the machine side.
For Oracle's customers across Asia, many of them banks, telcos and government agencies, the restructuring is less about service continuity and more about signalling priorities. AI workloads need the cloud capacity Oracle is buying, and the company has made clear it views AI infrastructure as its core growth bet — even if that bet temporarily strains its finances.
Singapore sits squarely in that picture. Oracle runs cloud regions in the city-state serving financial institutions and public sector agencies, and local enterprises running Oracle databases are among those watching how the AI push reshapes the company's product roadmap and pricing. The cuts also add another data point to the AI-driven restructuring sweeping global tech — the same dynamic Singapore's workforce policies are designed to cushion.
Why it matters for Singapore: For Singapore's tech sector, Oracle's trade-off between AI investment and headcount is a preview of the cost discipline that comes with the AI buildout. Enterprises here that rely on Oracle Cloud should watch for shifts in support and pricing, while the wider lesson — that AI growth does not automatically mean tech hiring growth — is one Singapore's upskilling push is already built around.


