Is AI Becoming SI? What “Super Intelligence” Really Means Artificial intelligence has become one of the defining technologies of our time. It writes, codes, analyses data, assists doctors, supports businesses, generates images, helps researchers and increasingly performs tasks that once required significant human expertise. But this week, something unusual happened. The language around AI changed. On 29 September 2026 , President Donald Trump signed an executive order directing the U.S. executive branch to use the terms “Super Intelligence” and “SI” instead of “Artificial Intelligence” and “AI” in official non-statutory communications. The order applies the new terminology across executive-branch correspondence, websites, reports and policy documents, while leaving older regulations and historical documents unchanged. The White House That immediately raises an interesting question: Has artificial intelligence actually become superintelligence — or has the name changed before ...

Artificial Intelligence  •  Digital Skills  •  Europe Artificial intelligence is rapidly becoming part of everyday life. It influences how we work, learn, communicate, manage businesses and access public services. Yet an important question is now being asked across Europe: Are we building our own AI future—or becoming increasingly dependent on technology developed elsewhere? This question has gained renewed attention following warnings that Europe remains heavily reliant on artificial intelligence models and digital infrastructure originating in the United States and China. For Europe—and particularly for Portugal—this is not simply a technology issue. It is about economic competitiveness, employment, education, cybersecurity and the ability to make independent decisions about our digital future. What Is Digital Sovereignty? Digital sovereignty means having sufficient control over the technology, infrastruct...

Using AI Isn’t the Same as Understanding AI — And That Skills Gap Is Growing Using AI Isn’t the Same as Understanding AI — And That Skills Gap Is Growing Artificial intelligence has moved remarkably quickly from something we talked about to something we simply use. Employees are drafting emails with AI, analysing documents, generating presentations, writing code, conducting research and automating everyday tasks. Students are using it to learn. Entrepreneurs are using it to build businesses. Organisations are incorporating AI into workflows that, only a few years ago, were entirely human-driven. But there is an important question hiding behind all this adoption: Do we actually understand the technology we are using? Because knowing how to type a prompt into an AI tool is not the same thing as being AI literate. And that distinction is beco...

Technology Is Reshaping the Global Workforce: Are We Losing Jobs — or Redefining Work? Artificial intelligence, automation and digital technologies are changing workplaces around the world at remarkable speed. For many workers, that change can feel unsettling. Headlines about layoffs, robots and AI agents often create the impression that technology is simply replacing people. The latest evidence suggests something more complicated is happening. Some jobs are being reduced or redesigned. Some entirely new roles are emerging. And in many cases, technology is changing the tasks people perform rather than eliminating the occupation itself. AI is changing tasks before it changes entire jobs A major 2026 OECD review explains that AI affects employment in three different ways: it can automate existing tasks, create new tasks and occupations, and improve worker productivity. These forces operate at the same time, which means AI exposure does not automatically equal job loss. In many higher-ski...

                      Medical AI Is Growing Fast Artificial intelligence is moving rapidly into hospitals, clinics and diagnostic systems. AI can now help analyse medical images, calculate cardiovascular risk, support surgical planning and identify patterns that may be difficult for humans to spot quickly. But a new study has raised an important question: Are these technologies actually making patients healthier? 1,357 AI Medical Devices — But Only Three Tested on Patient Outcomes A study published in PLOS Digital Health on 19 August 2026 examined 1,357 AI and machine-learning medical devices that had received U.S. FDA clearance or approval through December 2025. Researchers found that only 34 devices — 2.5% — were linked to registered prospective clinical trials . Just 12 had posted trial results, 12 had peer-reviewed publications, and only three devices — approximately 0.2% — had been evaluated using patient-centred outcomes suc...