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Stablecoins have moved from the periphery of crypto to the centre of digital finance. New rules in the US, the EU and across Asia are accelerating real-world use — and putting accountants and tax professionals in the hot seat. This article gives you a practical, standards-aware playbook for getting the accounting right.

Stablecoins are crypto-tokens designed to keep a steady value, typically by referencing fiat money (e.g., USD, EUR) or baskets of assets. They aim to blend the instant, 24/7 settlement of blockchains with the familiarity of money. Benefits include low-cost cross-border transfers, programmability (escrow, conditional payouts), faster treasury flows, and access to dollar/euro liquidity in under-banked markets. Risks include run dynamics (if reserves are weak or illiquid), opacity around backing and governance, wallet-level illicit finance, and potential spillovers into short-term funding markets. Regulation therefore focuses on 1:1 reserves, redemption rights, disclosures, and AML/CFT controls. In the EU, stablecoins fall under MiCA as e-money tokens (EMTs) or asset-referenced tokens (ARTs); in the U.S., the new GENIUS Act creates a specific regime for “payment stablecoins.”

Imagine you are the CEO of a company. It’s Monday morning and today is a big day. You’re about to make a major decision—launching a brand-new product in an untapped market. The stakes are high. Get it right, and your company could capture a whole new customer base. Get it wrong, and you’ll waste months of effort, budget, and credibility.

Imagine arriving at work to find that overnight, your role has fundamentally changed. Your emails are drafted before you even open them, meetings are automatically summarised, and reports that used to take hours are now generated in seconds. The office buzzes with conversations about AI-driven strategies—except you’re struggling to keep up. Would you embrace this shift, or feel left behind?

Imagine a world where accountants work smarter, not harder – where software not only records transactions, but also analyses them, identifying trends and opportunities that might otherwise go unnoticed. Although this may sound like something out of a sci-fi movie, AI is making this vision a reality, transforming traditional processes and paving the way for exciting new innovations.

To be completely honest, I was pretty intimidated when I first heard about Deep Learning. The words deep and learning made it sound like something only super-smart people could understand! But once I got the hang of it, I was totally fascinated by how it works. It's like a machine that thinks and learns just like our brain does - pretty cool, right? So, let's go on a fun journey together to learn all about Deep Learning and how it's going to change our lives in the future, explaining it simply.

Machine Learning is, as its name defines it, a machine who learns. The first reference of Machine Learning dates back to 1959 and attributed to artificial intelligence and computer gaming pioneer; Arthur Lee Samuel. 63 years later and “self-teaching computers” (another term for Machine Learning) are revolutionising every industry, from healthcare to finance, marketing, and agriculture.

Generative AI is a type of artificial intelligence that creates new content such as text, images, music, or even ideas. Unlike traditional AI, which follows rules to provide answers, generative AI leverages what it has learned from large datasets and uses it to produce something following a request from a user.

Blockchain is a shared, immutable ledger that provides an immediate, shared and transparent exchange of encrypted data simultaneously to multiple parties as they initiate and complete transactions. Artificial intelligence (AI) uses computers, data and sometimes machines to mimic the problem-solving and decision-making capabilities of the human mind.

Autonomous (driverless) cars, customer support chatbots, Alexa and Netflix suggestions are a few examples of AI that have already changed our lives. AI of course stands for Artificial Intelligence! But what does it really mean?

Entering 2024, the Republic of Cyprus is at a pivotal moment in its journey toward enhancing data protection and cybersecurity.

The legal Cypriot community has recently seen leaps of improvement in the way cases and electronic data are handled. Aside from the fact that electronic evidence has recently became admissible to the Cypriot court, the establishment of a commercial court in the island comes to revolutionize the way commercial cases are litigated.

This article delves into the DLT Pilot Regime, its objectives, and its significance in the European financial services sector. For more information on how the DLT Pilot Regime can benefit your business, contact Grant Thornton Cyprus, a leading provider of professional services.

2016 was a year of firsts for the Nigerian tech sector as investment grows.

The ASEAN trade bloc is a growing force in the world economy and its increasing influence brings with it prime investment opportunities for businesses both inside and outside the region, not least through a stand-out e-health sector.

Blockchain has been seized upon by the financial services sector, where it is playing a crucial role in tracking and authenticating transactions.