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At MWC 2026, the promise of frictionless technology masks a deeper failure: systems designed for speed, not usability. Inclusive design reveals a critical truth—innovation succeeds not when it impresses, but when it enables real human autonomy.
Europe’s Artificial Intelligence Act introduces a risk-based framework that classifies AI systems according to their potential impact on citizens and institutions. This article explains the law’s “risk pyramid” and how it will shape the governance of algorithms across key sectors.
Europe’s Artificial Intelligence Act marks the first comprehensive attempt to regulate AI at scale. This article explores why the EU decided to govern algorithms, examining the political, ethical and geopolitical forces shaping Europe’s approach to artificial intelligence.
Europe’s Artificial Intelligence Act is the world’s first comprehensive attempt to govern AI. This series explores how the regulation reshapes decision-making across finance, education, labour markets and government—revealing how algorithms are becoming a central question of power, accountability and democratic oversight.
Four accounting firms once known for auditing balance sheets now shape the digital, regulatory and strategic architecture of modern states. As governments and corporations outsource expertise, Deloitte, PwC, EY and KPMG have become indispensable intermediaries — designing systems, interpreting geopolitics and increasingly certifying the safety of artificial intelligence. Their rise raises a critical question: who governs when governance itself is outsourced?
The real financial battlefield is not the trading floor, but the valuation engine. As the United States consolidates model power and Asia builds parallel infrastructures, Europe faces an uncomfortable question: can you shape global standards without owning the systems that compute value?
Telecom in Greece is no longer a consumer market but strategic infrastructure. In 2026, AI, energy constraints and geopolitics determine who is allowed to build, operate and be trusted with networks. This essay traces Greece’s shift from price competition to power, sovereignty and control.
For years, automation has been presented as a promise of control. Processes would become predictable. Risks measurable. Decisions traceable and compliant. When artificial intelligence entered the enterprise, that promise was reinforced with a familiar reassurance: there will always be a human in the loop.
For decades, European banking has been built around a visible moment of decision. A credit was approved. A risk was accepted. An exception was granted. There was a point in time — and a person — at which responsibility could be located. Today, that moment is becoming harder to identify.
Most discussions about artificial intelligence begin with innovation. This one should begin with power. SAP is not a visible technology giant in the public imagination. It does not shape culture, consumer behaviour or daily communication. Yet few companies exert more influence over the functioning of the global economy. An estimated 87 percent of worldwide trade touches SAP systems somewhere along its journey. Orders, invoices, customs declarations, supply chains and public-sector processes move through SAP’s logic layers every second of the day.
