Davos dropped the polite fiction: the world order is rupturing, alliances are stressed, and geopolitics now shapes AI governance and supply chains. AI is moving from pilots to measurable deployment, but value distribution and job disruption are unavoidable. Trust and resilience decide winners.
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Davos 2026: Von der Leyen turns law into industrial strategy. Kande exposes the AI value gap. Nadella warns of a bubble. Amodei predicts job shock and fast software automation. Carney channels Havel: the old order isn’t coming back; middle powers must build coalitions and defend sovereignty.
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The metaverse failed as a cartoon. It’s returning as infrastructure. AI, volumetric video, and spatial intelligence are turning immersive tech into something far more dangerous, and powerful, than virtual worlds: reality you can’t easily tell apart.
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AI policy is no longer a technical debate. It’s a geopolitical struggle over power, values, and human impact. As automation and robotics accelerate, the choices made in Washington, Brussels, and Beijing will define who leads, and who follows.
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Forget chat-only AI. In 2026, physical AI — robots that sense, reason, and act — enters factories, logistics and real workflows, redefining work and automation.
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Two breakthroughs reveal the same truth: biology is becoming computable. With AI now able to design, test and learn from experiments directly, drug discovery shifts from slow trial-and-error to continuous, intelligent iteration. This is a phase change for medicine.
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As oil shaped the twentieth century, energy networks will shape the twenty-first. The EV battle won’t be won at chargers, but in the invisible layer where electrons, software, and strategy converge. By the time this is obvious, the advantage will already be locked in.
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Geopolitics is being rewritten. Nations are no longer competing primarily on values or markets, but on access to energy, critical resources, and strategic infrastructure. The winners of the next decade will be those who secure the foundations of power before the rest of the world notices.
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Boston Dynamics didn’t just upgrade a robot. Atlas signals the moment physical labor becomes programmable. As humanoid robots connect to shared world models and learn from millions of real-world interactions, factories turn into training grounds and reality itself becomes data.
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Bigger models are no longer better. By 2026, AI advantage comes from Small Language Models: fast, local, and sovereign. Intelligence shrinks, spreads to the edge, and becomes embedded in devices, factories, hospitals, and vehicles. The era of one giant brain is over.
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