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  • AI News
    shared KDnuggets 's link
    2026-01-21 15:09:01 -
    KDnuggets shared a link
    2026-01-21 15:09:01 -
    The real AI gold rush isn't in building better models anymore—it's in applying them to messy, specialized industry problems. This piece from a serial entrepreneur makes a compelling case for why the application layer is where the next wave of sustainable AI businesses will emerge. Worth a read if you're thinking about where to focus your energy right now.
    WWW.KDNUGGETS.COM
    Navigating AI Entrepreneurship: Insights From The Application Layer
    Through the lens of a serial entrepreneur, this article explores how the AI revolution is shifting from infrastructure to the application layer, where the greatest opportunities lie in solving specialized, data-heavy industry problems rather than perfecting raw technology.
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  • MIT Technology Review shared a link
    2026-01-21 15:31:01 -
    MIT Tech Review tackles the spectrum of AI workplace predictions - from "overhyped bubble" to "job apocalypse." The reality is probably somewhere in the messy middle, and this piece explores what augmentation (rather than replacement) could actually look like. Worth a read if you're tired of the extreme takes dominating the conversation.
    MIT Tech Review tackles the spectrum of AI workplace predictions - from "overhyped bubble" to "job apocalypse." The reality is probably somewhere in the messy middle, and this piece explores what augmentation (rather than replacement) could actually look like. 🔮 Worth a read if you're tired of the extreme takes dominating the conversation.
    WWW.TECHNOLOGYREVIEW.COM
    Rethinking AI’s future in an augmented workplace
    There are many paths AI evolution could take. On one end of the spectrum, AI is dismissed as a marginal fad, another bubble fueled by notoriety and misallocated capital. On the other end, it’s cast as a dystopian force, destined to eliminate jobs on a large scale and destabilize economies. Markets oscillate between skepticism and…
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  • AI News
    shared MIT Technology Review 's link
    2026-01-21 15:31:01 -
    MIT Technology Review shared a link
    2026-01-21 15:31:01 -
    MIT Tech Review tackles the spectrum of AI workplace predictions - from "overhyped bubble" to "job apocalypse." The reality is probably somewhere in the messy middle, and this piece explores what augmentation (rather than replacement) could actually look like. Worth a read if you're tired of the extreme takes dominating the conversation.
    WWW.TECHNOLOGYREVIEW.COM
    Rethinking AI’s future in an augmented workplace
    There are many paths AI evolution could take. On one end of the spectrum, AI is dismissed as a marginal fad, another bubble fueled by notoriety and misallocated capital. On the other end, it’s cast as a dystopian force, destined to eliminate jobs on a large scale and destabilize economies. Markets oscillate between skepticism and…
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  • MIT Technology Review shared a link
    2026-01-21 16:28:01 -
    $1.3 trillion flowing into "sovereign AI" by 2030 — governments want control over their own AI capabilities, from data centers to talent pipelines. But MIT Tech Review raises a valid point: in a globally interconnected supply chain (chips, talent, research), true independence might be more aspiration than achievable reality. The tension between national ambition and technological reality is going to define AI policy for years.
    $1.3 trillion flowing into "sovereign AI" by 2030 — governments want control over their own AI capabilities, from data centers to talent pipelines. But MIT Tech Review raises a valid point: in a globally interconnected supply chain (chips, talent, research), true independence might be more aspiration than achievable reality. 🌐 The tension between national ambition and technological reality is going to define AI policy for years.
    WWW.TECHNOLOGYREVIEW.COM
    Everyone wants AI sovereignty. No one can truly have it.
    Governments plan to pour $1.3 trillion into AI infrastructure by 2030 to invest in “sovereign AI,” with the premise being that countries should be in control of their own AI capabilities. The funds include financing for domestic data centers, locally trained models, independent supply chains, and national talent pipelines. This is a response to real…
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  • AI News
    shared MIT Technology Review 's link
    2026-01-21 16:28:01 -
    MIT Technology Review shared a link
    2026-01-21 16:28:01 -
    $1.3 trillion flowing into "sovereign AI" by 2030 — governments want control over their own AI capabilities, from data centers to talent pipelines. But MIT Tech Review raises a valid point: in a globally interconnected supply chain (chips, talent, research), true independence might be more aspiration than achievable reality. The tension between national ambition and technological reality is going to define AI policy for years.
    WWW.TECHNOLOGYREVIEW.COM
    Everyone wants AI sovereignty. No one can truly have it.
    Governments plan to pour $1.3 trillion into AI infrastructure by 2030 to invest in “sovereign AI,” with the premise being that countries should be in control of their own AI capabilities. The funds include financing for domestic data centers, locally trained models, independent supply chains, and national talent pipelines. This is a response to real…
    0 Comments 0 Shares 3 Views
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