A selection of world thoughts – about AI – for global citizens.
What are the global perspectives on AI? Here, you will find a selection of articles from top newspapers, research publications, and leading magazines from around the world, exploring AI’s impact on language, culture, geopolitics, and economies. Our collection of local sources helps you understand the global landscape and navigate change through innovative ideas, keeping you informed about what’s relevant in this constantly evolving field.
Last Month’s Most Read Articles
Global disunity, energy concerns and the shadow of Musk: key takeaways from the Paris AI summit
Europe is taking a bold step toward technological independence, moving away from U.S. dominance in AI. But to understand how we got here, we need to rewind to a pivotal moment: the Paris AI Summit. At the summit, deepfake theatrics, diplomatic tensions, and stark warnings about an AI arms race highlighted the fractures in global AI governance. This turning point underscored Europe’s ambition to carve its own path—one that could redefine its role in the future of artificial intelligence. Discover the key takeaways from this summit to truly understand the forces shaping the latest developments in Europe-U.S. relations.
Read the full article on The Guardian
The Future of Jobs Report 2025
The document gathers insights from over 1,000 top global employers, representing a workforce of more than 14 million across 22 industry sectors and 55 economies worldwide. It explores how major trends are influencing jobs, skills, and workforce strategies, outlining the transformation plans employers aim to implement between 2025 and 2030.
Read the full report on World Economic Forum
The Latinization of Kazakhstan: Language, Modernization and Geopolitics
As part of Kazakhstan’s National Plan 2050, this year marks the country’s target year for transitioning from Cyrillic to the Latin alphabet. Despite potential delays and high costs, the shift is more than just linguistic—it’s a statement of Kazakh identity, geopolitics, and post-colonial repositioning. Yet questions remain: How will this transition unfold? And what will it mean for the country’s minorities, whose identities are deeply tied to its bilingual heritage?
Read the full article on The Diplomat
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The TechCrunch AI glossary
Artificial intelligence is a vast and intricate field, where scientists rely on technical jargon to explain their work. To truly navigate this evolving landscape, understanding the right terms is key. This regularly updated glossary by TechCrunchoffers a starting point for making sense of AI—and speaking its language.
Read the full article on TechCrunch
What do countries call themselves? The stories behind their original names
We’ve always used the English names for countries, but what if they were all wrong? Egypt, one of Africa’s oldest nations, calls itself Masr in Arabic, meaning “border” or “port.” In China, the country is known as Zhongguo—“Middle Kingdom” or “Central Country,” reflecting its historical self-image. Explore this insight to uncover the real names of nations and the deep cultural meanings they hold.
Read the full article on Al Jazeera
Let Inga Tell You: Languages are great, but some are just too foreign for me
In this bold and thought-provoking piece, the author reflects on her love for languages—only to realize there might now be too many. Not national or community languages, but hyper-specialized glossaries for everyday things like coffee or light bulbs. In an era of cultural homogenization, the rise of these micro-languages feels both paradoxical and overwhelming.Read the full article on The San Diego Union Tribune
How AI images are ‘flattening’ Indigenous cultures – creating a new form of tech colonialism
Artificial intelligence is rewriting history—one image at a time. AI-generated depictions of Indigenous Australians are flooding stock photo platforms, but there’s a problem: they’re inaccurate, misleading, and stripped of cultural meaning. From generic faces to misplaced sacred symbols, these images flatten complex traditions into digital stereotypes. As AI reshapes the way we see the world, how much of the truth is being lost in translation?
Read the full article on The Conversation
Inside Elon Musk’s ‘Digital Coup’
Elon Musk’s DOGE isn’t just cutting government spending—it’s dismantling it from within. With a handpicked team of tech loyalists, DOGE has infiltrated federal agencies, purged tens of thousands of employees, and accessed vast amounts of sensitive citizen data. Now, Musk’s next move is the most audacious yet: deploying AI to take full control. In this in-depth investigation, Wired journalists trace the early weeks of DOGE, from its formation to its ambitious goals.
Read the full article on Wired
EU AI Act: Everything you need to know
The EU’s AI Act sets the stage for a bold regulatory framework, balancing innovation with risk mitigation. With a tiered risk approach and hefty penalties, the law tackles everything from manipulative AI bans to stringent checks on high-risk uses like law enforcement. Entered into force in August 2024, this landmark regulation promises trusted AI—yet sparks debate over Europe’s competitive edge.
Read the full article on TechCrunch
Why the long history of calculating pi will never be completed
Who first discovered Pi? Why? And will we ever truly know its full value? For over 4,000 years, this mathematical enigma has fascinated and frustrated minds across the world. More than just a number, Pi is a symbol of humanity’s endless pursuit of the unknown—an ever-expanding mystery that even the most powerful supercomputers can’t quite solve.
Read the full article on New Scientist
Global Robotics Landscape 2025
Robotics is entering a transformative phase, where AI isn’t just thinking—it’s moving, working, and soon, living among us. From cutting-edge humanoid models to groundbreaking innovations in Physical AI, this article explores how bipedal robots are set to revolutionize workplaces and homes. As this emerging market accelerates, what does it mean for society? Step into the future of embodied AI.
Read the full article on AI Supremacy
Is Virtualization Greener Than Lab Work for Chips?
An IEEE Spectrum article highlights how AI and virtualization tools are cutting carbon emissions in semiconductor production. A study by Lam Research shows these technologies can reduce CO2 emissions by 20-80% compared to traditional lab experiments. Despite the high energy demand of AI simulations, they’re still more efficient than real-world experiments, which consume extensive materials and energy. Lam Research’s commitment to renewable energy and net-zero emissions by 2050 underscores the potential of AI modeling to revolutionize semiconductor manufacturing while reducing environmental impact.
Read the full paper on IEEE Spectrum
Humans, machines, and the rise of AI coworkers: How to build the new hybrid organization
We’re entering a new era of hybrid work where organizations won’t just blend in-person and remote employees—they’ll integrate AI agents as true co-workers. Unlike today’s GenAI tools, these agents will make and act on decisions independently, without relying on detailed user inputs. Rather than simply assisting humans, they’ll work alongside them, unlocking new competitive advantages that go far beyond productivity gains.
Read the full article on Fortune
Into The Wild World of Temu
Temu isn’t just another online shopping obsession—it’s a geopolitical disruptor. Fueled by aggressive marketing—think Super Bowl ads and the Shop Like a Billionaire campaign—and quietly bolstered by Chinese subsidies, Temu is reshaping global trade. Ironically, Donald Trump played a key role in making this possible. Now the world’s second-largest e-commerce platform after Amazon has soared by exploiting the Tariff Act of 1930, which exempts packages under $800 from import taxes. The result? A flood of ultra-cheap goods bypassing Trump-era tariffs.
Read the full article on Bloomberg
Why AI could transform all jobs into BS
This article explores the potential transformation of work by AI and its impact on human fulfillment. Drawing on Oxford professor John Tasioulas’ insights, it delves into how AI could undermine the intrinsic value of work, particularly the sense of achievement that comes from overcoming challenges. Tasioulas references David Graeber’s “bullshit jobs” to highlight how AI may erode meaningful work. The piece questions how society will find fulfillment if work, once a source of financial stability and social recognition, becomes obsolete.
Read the full article on Big Think
