Starling Bank cuts 130 jobs amid AI and restructuring push
▼ Summary
– Starling Bank is cutting around 130 jobs (3% of its workforce) to simplify operations, reduce duplication, and accelerate product delivery.
– Pre-tax profit fell to £217 million in the year to March, down from £223 million, due to falling interest rates squeezing margins.
– Starling launched an AI assistant called Starling Assistant in March, and its scam detection tool uses Google’s Gemini models to flag fraud in real time.
– Engine, Starling’s technology licensing arm, grew revenue 25% last year as its client base doubled, and it is now targeting the US market.
– The job cuts reflect a broader sector shift, with neobanks applying efficiency logic to their own operations as AI threatens to eliminate banking jobs.
Starling Bank is reducing its workforce by roughly 130 positions, representing about 3% of its 4,000 employees, as the London-based neobank undertakes a broader restructuring of its banking and technology divisions. Staff were informed this week that the changes aim to streamline operations, eliminate redundancies, and speed up product delivery.
The job cuts coincide with Starling’s deepening investment in artificial intelligence. In March, the bank introduced Starling Assistant, an agentic AI tool that enables customers to set savings targets, manage bill payments, and analyze spending habits through voice or text commands.
Profit pressure in a lower-rate environment
This restructuring follows a second straight year of declining earnings. Pre-tax profit fell to £217 million for the year ending March, compared to £223 million the prior year, while total revenue slipped from £940 million to £887 million.
Starling attributed the drop to falling interest rates, which have compressed margins across the UK banking sector. Despite the downturn, the neobank remains profitable and has now delivered five consecutive years in the black. Still, the trend is unmistakable.
Customer growth continued, with platform accounts rising to 6.2 million from 5.3 million a year earlier. Deposits also increased, reaching £12.7 billion.
The AI race among digital banks
Starling’s AI strategy places it in a competitive field where digital banks are racing to automate customer interactions. Revolut launched its own AI assistant, AIR, for UK customers in April, offering similar features for spending analysis and account management.
Starling’s scam detection tool, launched in October 2025, uses Google’s Gemini models to scan marketplace listings and identify fraud in real time. The system has since been expanded to recognize over ten scam types, including romance fraud and deepfake phishing.
“A key factor in our competitive edge over legacy banks is our agility, our ability to test, launch, learn and reorganise at pace,” a Starling spokesperson said. The bank noted that it continues to hire technology and AI engineers even as it cuts jobs elsewhere.
Engine: the growth driver
The brighter spot in Starling’s portfolio is Engine, its software-as-a-service division that licenses the bank’s core technology to other financial institutions. Engine’s revenue grew 25% last year, and its client base doubled thanks to international demand.
Engine already powers banks in the UK, Romania, Australia, and New Zealand, and is now targeting the US market. The division has opened a New York office with a reported $50 million investment and is in talks with mid-tier American lenders.
A broader industry trend
Morgan Stanley estimated in June that AI could eliminate as many as 400,000 European banking jobs by 2030, double its earlier projection of 200,000. ABN Amro announced last year that it would cut roughly 20% of its workforce by 2028, largely through automation.
Starling’s 130 job cuts are modest in comparison, but they mark a shift within the neobank sector itself. The digital challengers that once defined themselves against the bloated workforces of traditional high-street banks are now applying the same efficiency logic to their own operations.
(Source: The Next Web)
