With concerns around AI’s environmental impact mounting – as tech firms remain guarded over the data – it is time to ask whether this technology will hinder or help the economy’s progress toward decarbonisation. In this instalment of Finextra’s Explainer series, we weigh up the potential positive and negative impacts of AI on the climate.

As the wave of digitisation washes across the globe, open source software proliferates, and the sheer value of data continues climbing, cyberattacks are becoming one of the biggest threats to financial stability. In the past 12 months, consumers, financial institutions (FIs), and entire industries fell victim to massive cyberattacks by highly sophisticated criminal rings and technologies. With 2025 drawing to a close, I look back at the most impactful cybersecurity breaches o

With the advantage of hindsight, the financial landscape of 2025 can be characterised by the enforcement of transformative payment regulations, the rise in support for stablecoins, and the moment the rubber hit the road for artificial intelligence (AI). As the year draws to a close, it’s time to reflect on the financial news topics that were discussed most keenly, and the transformational fintech stories that underpinned them.

In the last year, tech giants like Meta, Microsoft and Oracle have been taking on tens of billions in debt to finance their artificial intelligence (AI) projects and data centres. The key supplier of these firms is Nvidia, the most valuable company on the planet, which designs and manufactures the graphics processing units (GPUs) and chips needed to power AI models.

The United Kingdom has placed fourth in the Global Artificial Intelligence (AI) Index – the first of its kind to benchmark nations on their investment, innovation, and implementation of AI. Yet despite this potential, much of our homegrown tech talent is moving abroad.

Three years ago, on 30th November 2022, ChatGPT was released and the world was given an artificial intelligence (AI)-powered large language model (LLM) that can understand and respond to human language by processing vast amounts of multimedia data.

A regulatory filing has revealed that in Q3 2025 Peter Thiel offloaded all his AI stocks. The move – coupled with SoftBank's selloff of its own Nvidia holdings – is fuelling speculation that the tech industry is due an uncomfortable correction.

Whether AI’s stock prices crash soon or later, the technology itself is not going away. Though the dotcom bubble severely dented confidence, the technology and business models behind it still thrive today. In fact, thanks to increased smartphone and internet penetration, ecommerce is booming. In 2023 its global market was valued at $20 trillion – a figure which will swell to around $100 trillion by 2032, according to Statista. Perhaps a similar trajectory will be followed by

What does the future of journalism look like as a result of AI? In focusing on change, do we risk overlooking principles that underpin the ways that journalists and communications professionals work together?

Nvidia, among others, has been accused of working to artificially engineer demand, by investing in firms like Mistral, Figure AI, and xAI – which, in turn, redeploy some of the venture capital to buy Nvidia’s chips.

A global pattern is emerging: extreme right-wing organisations and state actors are using cryptocurrencies to make clandestine donations to likeminded political movements.

Is boss-tech merely a means to modernise the age-old clock-punch process, or does it herald something more draconian for the already-dampened UK labour market?

US-based public cloud service providers – particularly the ‘big three’, Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP) –  capture a substantial portion of the global cloud market; with some estimates reaching almost 85%.

A busy morning and afternoon at NextGen Nordics were rounded off with a keynote presentation by Dr. Igor Mate, Director, Data Privacy and Digital Regulation at Permobil and Co-Chair, Connect Communities.

From deepfakes to artificial intelligence (AI)-powered biometric bypasses, the ways fraudsters are leveraging technology are evolving fast.

This article explores how financial institutions should comply with the seminal PSD3 act.  

In December 1955, Herbert Simon and Allen Newell developed ‘Logic Theorist’, which is today considered the first ever AI program.

“There have been many fundamental shifts in the IT space, such as the internet and the ecommerce revolution. This is the biggest one..."

Regulators must define a “minimum set of data” to be shared between banks that would still “serve the purpose” of fraud detection.

What is embedded finance? What's at stake? Where might it go in the next 5 years?