GITEX Global 2025 🌍

🔧 It seems that literally every country is striving to create its own sovereign AI ecosystem. These will be closed autonomous AI-based computing infrastructures using open-source AI to ensure data sovereignty. This is perhaps the main trend in GovTech. Countries that succeed in this race will build more adaptive and less bureaucratized governance systems, giving them a productivity boost in literally every area of public administration. Machines have bureaucracy too (like BPMN), but unlike systems consisting of people, such systems adapt their behavior much more easily.

🤖 Agent autonomy is good, but reliability is more important. Agents are increasingly refining their specialization to the stage where they can perform sufficiently reliable atomic operations that don't require continuous human control. It's necessary to descend to this level to feel solid ground under your feet, push off from it, and start building multi-agent systems whose reliability is no lower than that of the weakest link.

🎨🧠 Previously, technology only extended human physicality, but for the first time it has reached cognitive function as well. It's now evident that the objectified reasoning function implemented in LLMs is quietly becoming the foundation of a new technological paradigm. This process forcibly localizes everything unpredictable and non-deterministic in humans within the intentional act, which, more than ever before, deserves to be called creativity. After all, creativity is precisely what translates chaos into order. AI only repeats after humans. As a result, natural sciences are becoming more like humanities, with a clearly defined creative act at the center, while humanities are becoming mechanized, allowing the most predictable creative tasks to be translated into technical ones (Midjourney, Sora, etc.). Somewhere in the middle, they will meet. Apparently, professions will now be divided not so much into humanities and technical fields, but rather into algorithmizable and non-algorithmizable ones.