1import{j as e,L as a,A as n,b as s}from"./vendor-react-BhU9Ps3S.js";import{S as t}from"./Section-DlMUYZpl.js";import{m as i}from"./vendor-motion-2LmzPyns.js";import"./vendor-_oAiHV5l.js";const d=()=>e.jsxs("div",{className:"min-h-screen",children:[e.jsx(t,{variant:"alternate",spacing:"lg",children:e.jsx("div",{className:"max-w-4xl mx-auto px-6",children:e.jsxs(i.div,{initial:{opacity:0,y:20},animate:{opacity:1,y:0},transition:{duration:.5},children:[e.jsxs(a,{to:"/blog",className:"inline-flex items-center gap-2 text-muted hover:text-accent-cyan mb-8 transition-colors",children:[e.jsx(n,{size:16}),e.jsx("span",{className:"text-sm font-medium",children:"Back to Blog"})]}),e.jsx("div",{className:"mb-6",children:e.jsx("span",{className:"px-3 py-1 bg-accent-cyan/10 text-accent-cyan text-xs font-medium rounded-full inline-block mb-4",children:"Industry"})}),e.jsx("h1",{className:"text-4xl md:text-5xl lg:text-6xl font-medium text-ink mb-6 tracking-tight",children:"The $1 Trillion AI Problem"}),e.jsx("div",{className:"flex items-center gap-4 text-muted text-sm mb-8",children:e.jsxs("div",{className:"flex items-center gap-1.5",children:[e.jsx(s,{size:14}),e.jsx("span",{children:"October 2025"})]})}),e.jsx("div",{className:"aspect-[16/9] w-full overflow-hidden bg-white rounded-2xl mb-12",children:e.jsx("img",{src:"/blog_images/1-trillion-ai-problem.webp",alt:"The $1 Trillion AI Problem - Economic and Technical Challenges in AI Industry",loading:"eager",decoding:"async",className:"w-full h-full object-cover",width:"1200",height:"675"})})]})})}),e.jsx(t,{spacing:"lg",children:e.jsx("article",{className:"max-w-4xl mx-auto px-6",children:e.jsxs("div",{className:"prose",children:[e.jsx("p",{className:"text-xl text-muted leading-relaxed mb-8 font-light",children:"In a move that feels more like an inflection point than an incremental update, Snowflake, Tableau, BlackRock and a coalition of leading data platforms have just launched the Open Semantic Interchange (OSI) - a vendor-neutral standard for semantic metadata that promises to break down silos and unify how business context is defined across enterprise systems."}),e.jsx("p",{className:"text-muted leading-relaxed mb-6",children:"In doing so, they're tackling what many believe to be AI's most stubborn bottleneck: inconsistent definitions and fragmented context across tools."}),e.jsx("p",{className:"text-muted leading-relaxed mb-12",children:"That's a huge step forward for context management in enterprise - and it's exactly the kind of breakthrough we need to see in the consumer world too."}),e.jsx("div",{className:"border-t border-line pt-8 mt-12",children:e.jsxs("p",{className:"text-sm text-muted",children:["Read more here:"," ",e.jsx("a",{href:"https://venturebeat.com/ai/the-usd1-trillion-ai-problem-why-snowflake-tableau-and-blackrock-are-giving",target:"_blank",rel:"noopener noreferrer",className:"text-accent-cyan no-underline hover:text-accent-cyan",children:"https://venturebeat.com/ai/the-usd1-trillion-ai-problem-why-snowflake-tableau-and-blackrock-are-giving"})]})})]})})})]});export{d as default};
Line numbers count LF bytes from the start of the resource, as the search results do. Vendor segments are library code the classifier recognised; they are stored but not indexed. Bytes are shown as Latin1 characters, one per byte.