Business

The Super-App Race Is Pulling Banks and Telecoms Into the Same Fight

Fintech companies are adding mobile networks as telecom operators move into banking

NEW YORK — Traditional telecommunications firms are expanding into financial services as fintech companies move into mobile connectivity, intensifying a global structural collision between the two sectors. The contest centers on super-apps, all-in-one digital ecosystems designed to manage services ranging from mobile data to personal banking.

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In Europe, Revolut, Monzo, and Klarna are continuously broadening their platforms to capture more of consumers’ lifestyle spending. In Latin America, NYSE-listed digital banking giant Nubank has launched its own mobile phone network, NuCel, in Brazil. The super-app model was pioneered in Asia by platforms including Tencent’s WeChat and Ant Group’s Alipay.

Giffgaff is experimenting with fintech offerings in the highly competitive United Kingdom market, where it operates as a mobile virtual network operator (MVNO). Its name comes from a traditional Scottish expression meaning “mutual giving,” and the company is a certified B-Corporation. Three-quarters of its mobile device sales come from refurbished stock.

“There’s a massive opportunity for telcos to get ahead and think about revenue diversification,” said Kate Dohaney, CEO of the British mobile network Giffgaff, a subsidiary of Virgin Media O2. “We have all these competitors getting into telco… That does allow telcos to sit back and say: I can get a lot more creative, I already have this massive, amazing foundation with this great brand.”

Dohaney said Giffgaff’s strategy focuses on “fair play.” The company is aiming to design financial risk assessment tools for young people entering the workforce or seeking to start businesses without traditional credit histories. Analysts warn that the coming “service wars” will test whether established brands’ traditional consumer trust can withstand the agility of tech-first disruptors.

The expansion of these complex, multi-industry platforms is being accelerated by advanced software and AI, while corporate leaders face severe public anxiety over automated job displacement. Managing that tension has become a primary concern for C-suite executives globally and a cornerstone debate at major industry gatherings, including the recent Fortune CEO Forum.

Bill Winters, chief executive of London-headquartered multinational bank Standard Chartered, highlighted the sensitivity of the transition during a panel discussion on corporate transformation. He rejected the term “cost-cutting,” saying the bank was “replacing lower-value human capital with the financial capital and the investment capital we’re putting in.”

Labor advocates and industry observers criticized the comment amid concerns about an AI-driven “jobs apocalypse.” Winters later apologized and clarified that Standard Chartered is investing heavily in retraining and upskilling its current workforce to adapt to technological shifts.

Dohaney argued that technological change does not necessarily require companies to reduce their human staff. “The question is not necessarily how do we bring down our human capital, but how do we train our people to do more, strategically, across the business,” she said, drawing a parallel to earlier industrial transitions. “Just like with any revolution that has happened in the history of humankind, we have to understand what are the next generation of skill sets.”

The blurring of finance, telecommunications, and digital services is also making corporate differentiation more difficult. Earlier this year, Erik Severinson, Chief Commercial Officer at Sweden’s Volvo Cars, compared the challenge of standing out in an oversaturated market to trying to be the “red t-shirt” in a stadium full of white t-shirts.

For Giffgaff, lean operations and corporate social responsibility have been part of that effort to stand out. Whether a mobile operator offering stock trading or a digital bank offering cellular data wins the market, the corporate playbook for the coming decade will rely heavily on how effectively companies deploy AI without alienating the human capital required to run them.

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