
AI energy use is rising, but efficiency per task is collapsing Education improves outcomes by optimizing energy usage and focusing on small models.Do this, and costs and emissions fall while learning quality holds The key fig
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AI is collapsing routine “middle” software work as adoption soars Schools must teach systems thinking, safe AI use, and verification-first delivery Employers will favor small, senior-led teams; therefore, curricula must reflect this reality
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Real-time data can mislead because overload and autocorrelation turn noise into policy Treat fresh numbers as estimates: blend vintages (replay-style), weight by revision risk, and require causal identification Teach revision-aware literacy and measure decisions by how well they age, not how fast they react
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babies is inevitable—focus on smart guardrails, not bans Mandate strict privacy, proven developmental claims, and designs that boost caregiver–infant serve-and-return Advance equity with vetted, prompt-only co-play tools in public settings and firm vendor standards
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China’s R&D surge and alliance politics are reshaping global education Export controls and demographics redirect students and research Universities must hedge, manage openness, and diversify Here is the number that shou
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Europe’s schools rely on foreign AI infrastructure, creating vulnerability A neutral European stack with local compute and governance can secure continuity This ensures resilient, interoperable education under global tensions
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The real risk isn’t the LLM’s words but the agent’s actions with your credentials Malicious images, pages, or files can hijack agents and trigger privileged workflows Treat agents as superusers: least privilege, gated tools, full logs, and human checks
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AI translation reshapes the labor market, eroding low-skill roles while rewarding domain expertise Education must shift toward “language plus” skills—pairing translation with data, law, or health Policy should teach students to work with machines, not against them
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Southeast Asia needs a maritime compact, not an Asian NATO Prioritize shared surveillance and coast-guard rules Outside partners support; ASEAN states lead
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Tariffs framed as job protection often act instead as taxes on critical inputs Employment in U.S.
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More value now courses through stablecoins and other crypto rails than most policy conversations acknowledge: the IMF’s 2025 analysis maps roughly $2 trillion in cross-border stablecoin flows in 2024, concentrated in North America and the Asia-Pacific, and significant relative to GDP in emerging regions. Meanwhile, FATF reports that a third of surveyed jurisdictions still lacked full Travel Rule legislation as of mid-2024, and even among adopters, supervision and enforcement lag.
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A recent wave of coverage claimed that Reinforcement Learning (RL) had leaped pure math by navigating the notoriously thorny Andrews-Curtis landscape, downplaying long-term potential counterexamples and hinting – breathlessly – at tools that could one day predict stock crashes, pandemics, and even climate disasters years in advance. The research team made progress: by combining the RL standard with intelligent motion compression ("supermoves"), they found paths through cases that had resisted search for decades.
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This article was independently developed by The Economy editorial team and draws on original analysis published by East Asia Forum. The content has been substantially rewritten, expanded, and reframed for broader context and relevance. All views expressed are solely those of the author and do not represent the official position of East Asia Forum or its contributors.
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This article is based on ideas originally published by VoxEU – Centre for Economic Policy Research (CEPR) and has been independently rewritten and extended by The Economy editorial team. While inspired by the original analysis, the content presented here reflects a broader interpretation and additional commentary. The views expressed do not necessarily represent those of VoxEU or CEPR.
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This article was independently developed by The Economy editorial team and draws on original analysis published by East Asia Forum. The content has been substantially rewritten, expanded, and reframed for broader context and relevance. All views expressed are solely those of the author and do not represent the official position of East Asia Forum or its contributors.
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This article was independently developed by The Economy editorial team and draws on original analysis published by East Asia Forum. The content has been substantially rewritten, expanded, and reframed for broader context and relevance. All views expressed are solely those of the author and do not represent the official position of East Asia Forum or its contributors.
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This article was independently developed by The Economy editorial team and draws on original analysis published by East Asia Forum. The content has been substantially rewritten, expanded, and reframed for broader context and relevance. All views expressed are solely those of the author and do not represent the official position of East Asia Forum or its contributors.
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In April 2025, 73% of AI experts surveyed by the Pew Research Center stated that artificial intelligence would have a positive impact on how people perform their jobs over the next two decades; only 23% of the US public agreed. The growing gulf is not just about jobs or productivity; it also encompasses broader societal issues. It is about what these systems are.
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This article is based on ideas originally published by VoxEU – Centre for Economic Policy Research (CEPR) and has been independently rewritten and extended by The Economy editorial team. While inspired by the original analysis, the content presented here reflects a broader interpretation and additional commentary. The views expressed do not necessarily represent those of VoxEU or CEPR.
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AI Bootcamps provide emotional satisfaction but no real AI knowledge. SIAI’s AI MBA (Business & Tech Tracks) offers real AI project exposure and strategic thinking. Basic software engineers will be obsolete by 2035, replaced by AI and offshore talent After launching AI MBA's business track, we sometimes have questions about the value of the track. Most people, particularly, engineers think that's just a waste of time. Some of them even claim that AI Bootcamp is the better option, as it costs less money.
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