{"id":985,"date":"2026-07-05T23:12:13","date_gmt":"2026-07-05T23:12:13","guid":{"rendered":"https:\/\/ai4nations.org\/?page_id=985"},"modified":"2026-07-07T09:29:54","modified_gmt":"2026-07-07T09:29:54","slug":"radar-tr","status":"publish","type":"page","link":"https:\/\/ai4nations.org\/?page_id=985","title":{"rendered":"Radar-TR"},"content":{"rendered":"<p><!-- ============================================================\n     T\u00fcrkiye AI Opportunities Radar \u2014 WordPress \/ Mesmerize uyumlu s\u00fcr\u00fcm (v2)\n     Bu blo\u011fu WordPress'te bir \"\u00d6zel HTML\" (Custom HTML) blo\u011funa yap\u0131\u015ft\u0131r\u0131n.\n     ============================================================ --><\/p>\n<link rel=\"preconnect\" href=\"https:\/\/fonts.googleapis.com\">\n<link rel=\"preconnect\" href=\"https:\/\/fonts.gstatic.com\" crossorigin>\n<link 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b{color:var(--signal)}<\/p>\n<p>  \/* Method *\/\n  .tr-ai-radar section.method{padding:34px 0 20px}\n  .tr-ai-radar .method-grid{display:grid;grid-template-columns:1.1fr 1fr;gap:30px}\n  @media(max-width:760px){.tr-ai-radar .method-grid{grid-template-columns:1fr}}\n  .tr-ai-radar .method h2{font-family:\"Space Grotesk\",sans-serif;font-weight:600;font-size:19px;margin:0 0 12px}\n  .tr-ai-radar .method h3{font-family:\"IBM Plex Mono\",monospace;font-size:11px;letter-spacing:.1em;text-transform:uppercase;color:var(--slate-2);margin:18px 0 6px}\n  .tr-ai-radar .method p, .tr-ai-radar .method li{font-size:13px;color:var(--ink);line-height:1.6}\n  .tr-ai-radar .method ul{margin:0;padding-left:18px}\n  .tr-ai-radar .method .muted{color:var(--slate)}\n  .tr-ai-radar .axes-def{display:grid;gap:10px;margin-top:6px}\n  .tr-ai-radar .axes-def div{background:#fff;border:1px solid var(--line);border-radius:10px;padding:12px 14px}\n  .tr-ai-radar .axes-def .k{font-family:\"IBM Plex 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Bu kural CSS Grid\/Flex d\u00fczenlerimizi bozup\n   fazladan g\u00f6r\u00fcnmez h\u00fccreler olu\u015fturuyordu. --- *\/\n.tr-ai-radar article::before, .tr-ai-radar article::after,\n.tr-ai-radar aside::before, .tr-ai-radar aside::after,\n.tr-ai-radar details::before, .tr-ai-radar details::after,\n.tr-ai-radar div::before, .tr-ai-radar div::after,\n.tr-ai-radar figcaption::before, .tr-ai-radar figcaption::after,\n.tr-ai-radar figure::before, .tr-ai-radar figure::after,\n.tr-ai-radar footer::before, .tr-ai-radar footer::after,\n.tr-ai-radar header::before, .tr-ai-radar header::after,\n.tr-ai-radar hgroup::before, .tr-ai-radar hgroup::after,\n.tr-ai-radar menu::before, .tr-ai-radar menu::after,\n.tr-ai-radar nav::before, .tr-ai-radar nav::after,\n.tr-ai-radar section::before, .tr-ai-radar section::after,\n.tr-ai-radar ul::before, .tr-ai-radar ul::after {\n  content: normal !important;\n  display: none !important;\n  width: auto !important;\n}<\/p>\n<p>\/* Genel s\u0131f\u0131rlaman\u0131n (margin\/padding\/outline reset) etkisini de\n   widget i\u00e7indeki temel elemanlarda garantiye al *\/\n.tr-ai-radar, .tr-ai-radar * {\n  outline: 0;\n}<\/p>\n<\/style>\n<div class=\"tr-ai-radar\">\n<header class=\"masthead\">\n<div class=\"wrap\">\n<div class=\"mast-top\">\n<div class=\"eyebrow\">Global AI Participation System \u00b7 Country Instrument \u00b7 v2<\/div>\n<div class=\"eyebrow\">Edition 2026 \u00b7 Q3 \u2014 Living document<\/div>\n<\/p><\/div>\n<h1>T\u00fcrkiye <span class=\"accent\">AI Opportunities<\/span> Radar<\/h1>\n<p class=\"thesis\">\n      A demand-first map of where T\u00fcrkiye and its SMEs can <b>sell into the global AI economy now<\/b>,<br \/>\n      organised by the five AI value chains. The instrument operationalises the<br \/>\n      <b>TBMM AI Commission Report No.&nbsp;260 (March 2026)<\/b> \u2014 turning its strengths, constraints and<br \/>\n      recommendations into winnable, sequenced entry wedges for <b>government<\/b> and <b>industry<\/b> alike.\n    <\/p>\n<div class=\"align\">\n<div>\n<div class=\"k\">National vision<\/div>\n<div class=\"v\">Regional AI leader now, <b>global leader by 2030<\/b><\/div>\n<\/div>\n<div>\n<div class=\"k\">Index target<\/div>\n<div class=\"v\"><b>Top-20<\/b> mid-term \u2192 <b>Top-10<\/b> long-term<\/div>\n<\/div>\n<div>\n<div class=\"k\">Anchored in<\/div>\n<div class=\"v\"><b>TBMM Report No.260<\/b> \u2014 SWOT + 5-chapter recommendations<\/div>\n<\/div>\n<div>\n<div class=\"k\">Lens<\/div>\n<div class=\"v\">Supply-side \/ export \u00b7 <b>sell in chains 3\u20135<\/b><\/div>\n<\/div><\/div>\n<\/p><\/div>\n<\/header>\n<p><!-- VALUE CHAIN RAIL --><\/p>\n<section class=\"rail-sec\">\n<div class=\"wrap\">\n<div class=\"rail-head\">\n<div>\n<div class=\"eyebrow\">The GAPS value-chain frame<\/div>\n<h2>Where value is created \u2014 and where an underserved economy can win<\/h2>\n<\/p><\/div>\n<p>Chains 1\u20132 are capital-, compute- and chip-heavy: mostly <b>consume<\/b>, with selective sovereignty plays. Chains 3\u20135 are the <b>export sweet spot<\/b> \u2014 the on-ramp is Services, the margin is Products, the moat is Knowledge&nbsp;&amp; Governance.<\/p>\n<\/p><\/div>\n<div class=\"rail\">\n<div class=\"chainbox enable\" style=\"--cc:var(--c1)\">\n<div class=\"num\">CHAIN 01<\/div>\n<h3>Foundation AI<\/h3>\n<p>Frontier models &amp; research. Capital, compute, elite talent.<\/p>\n<p><span class=\"role\">Consume \u00b7 sovereignty<\/span><\/div>\n<div class=\"chainbox enable\" style=\"--cc:var(--c2)\">\n<div class=\"num\">CHAIN 02<\/div>\n<h3>AI Infrastructure<\/h3>\n<p>Compute, cloud, chips, data centres.<\/p>\n<p><span class=\"role\">Consume \u00b7 enable<\/span><\/div>\n<div class=\"chainbox sell\" style=\"--cc:var(--c3)\">\n<div class=\"num\">CHAIN 03<\/div>\n<h3>AI Products<\/h3>\n<p>SaaS, platforms &amp; agents. Scale &amp; margin.<\/p>\n<p><span class=\"role\">Sell \u00b7 export<\/span><\/div>\n<div class=\"chainbox sell\" style=\"--cc:var(--c4)\">\n<div class=\"num\">CHAIN 04<\/div>\n<h3>Solutions &amp; Services<\/h3>\n<p>Integration, automation, consulting. The on-ramp.<\/p>\n<p><span class=\"role\">Sell \u00b7 fastest entry<\/span><\/div>\n<div class=\"chainbox sell\" style=\"--cc:var(--c5)\">\n<div class=\"num\">CHAIN 05<\/div>\n<h3>Knowledge &amp; Governance<\/h3>\n<p>Evaluation, compliance, data &amp; trust. The moat.<\/p>\n<p><span class=\"role\">Sell \u00b7 differentiate<\/span><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/section>\n<p><!-- CONTROLS --><\/p>\n<div class=\"controls\">\n<div class=\"wrap controls-row\">\n<div class=\"ctrl-group\">\n      <span class=\"ctrl-label\">Read as<\/span><\/p>\n<div class=\"segmented\" role=\"group\" aria-label=\"Audience lens\">\n        <button data-aud=\"all\" aria-pressed=\"true\">All audiences<\/button><br \/>\n        <button data-aud=\"government\" aria-pressed=\"false\">Government<\/button><br \/>\n        <button data-aud=\"industry\" aria-pressed=\"false\">Industry &amp; SMEs<\/button>\n      <\/div>\n<\/p><\/div>\n<div class=\"ctrl-group\" id=\"chainChips\">\n      <span class=\"ctrl-label\">Value chain<\/span>\n    <\/div>\n<\/p><\/div>\n<\/div>\n<p><!-- RADAR --><\/p>\n<section class=\"radar-sec\">\n<div class=\"wrap\">\n<div class=\"radar-head\">\n<div class=\"eyebrow\">The detection screen<\/div>\n<h2>Where the winnable opportunities sit<\/h2>\n<p>Vertical: opportunity strength (export reach + strategic value). Horizontal: time to first revenue. Bubble size: scale of demand. Colour: value chain. Notice chains 1\u20132 land slow &amp; capital-heavy; 3\u20135 cluster in the winnable zone.<\/p>\n<\/p><\/div>\n<div class=\"radar-grid\">\n<div class=\"screen\">\n        <svg id=\"radar\" viewBox=\"0 0 1000 620\" role=\"img\" aria-label=\"Scatter plot of AI opportunity wedges by time-to-revenue and opportunity strength, coloured by value chain\">\n          <g id=\"gridLayer\"><\/g>\n          <g id=\"dotLayer\"><\/g>\n        <\/svg>\n      <\/div>\n<aside class=\"inspector\" id=\"inspector\" aria-live=\"polite\">\n<div class=\"eyebrow\">Signal readout<\/div>\n<div id=\"inspBody\">\n<p class=\"insp-empty\">Hover, tap, or tab through a signal on the screen to read its buyer, binding constraint, and first move here.<\/p>\n<\/div>\n<\/aside><\/div>\n<div class=\"legend\" id=\"legend\"><\/div>\n<\/p><\/div>\n<\/section>\n<p><!-- CARDS --><\/p>\n<section class=\"wedges\">\n<div class=\"wrap\">\n<h2>The wedges<\/h2>\n<p class=\"sub\">Fourteen entry points across the five value chains. Each names its buyer, its T\u00fcrkiye fit, the binding constraint the TBMM report flags, the real government lever, the SME first move \u2014 and the parliamentary recommendation it operationalises.<\/p>\n<div class=\"card-grid\" id=\"cardGrid\"><\/div>\n<div class=\"no-results\" id=\"noResults\">No wedges match this filter. Reset the value chain or audience to see more.<\/div>\n<\/p><\/div>\n<\/section>\n<p><!-- SIGNALS --><\/p>\n<section class=\"signals\">\n<div class=\"wrap\">\n<div class=\"signals-inner\">\n<div class=\"eyebrow\">What moved \u2014 2026 \u00b7 Q3<\/div>\n<h2>Signals since last edition<\/h2>\n<div class=\"sig-grid\">\n<div class=\"sig big\">\n<div class=\"when\">MAR 2026<\/div>\n<h4>TBMM AI Commission Report No.260 published<\/h4>\n<p>923-page parliamentary report sets the 2030 vision and recommends a T\u00fcrkiye AI Agency, a T\u00fcrkiye Data Agency, a framework AI Law with a regulatory sandbox and trustworthy-AI stamp, plus a national AI-in-agriculture roadmap.<\/p>\n<div class=\"impact\">Re-anchors <b>every wedge<\/b><\/div>\n<\/p><\/div>\n<div class=\"sig\">\n<div class=\"when\">DEC 2025<\/div>\n<h4>Public AI Directorate created<\/h4>\n<p>A dedicated Public AI Directorate plus a renamed National Technology &amp; AI directorate \u2014 mandated for data centres, shared data-space and public-dataset standards.<\/p>\n<div class=\"impact\">Lifts <b>S4 Health<\/b>, <b>I1 Infra<\/b><\/div>\n<\/p><\/div>\n<div class=\"sig\">\n<div class=\"when\">OCT 2025<\/div>\n<h4>Kumru-2B: first from-scratch Turkish LLM<\/h4>\n<p>VNGRS open-sourced a 2B Turkish model with a 500&nbsp;GB corpus; T3AI (T3\/Baykar) and Trendyol&#8217;s 7\u201370B models round out a real local stack.<\/p>\n<div class=\"impact\">Lifts <b>F1 Foundation<\/b>, <b>K3 Data<\/b><\/div>\n<\/p><\/div>\n<div class=\"sig\">\n<div class=\"when\">2025\u201326<\/div>\n<h4>Draft AI law tracks the EU AI Act<\/h4>\n<p>T\u00fcrkiye&#8217;s draft AI legislation is aligned to the EU AI Act \u2014 turning regulatory adjacency into an exportable compliance service before the market matures.<\/p>\n<div class=\"impact\">Lifts <b>K1 Compliance<\/b><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/section>\n<p><!-- METHOD --><\/p>\n<section class=\"method\">\n<div class=\"wrap method-grid\">\n<div>\n<h2>How to read the radar<\/h2>\n<p class=\"muted\">The instrument inverts the usual telescope. Readiness reports start from a country&#8217;s maturity and grade the gaps. This starts from live global demand and asks what T\u00fcrkiye can <em>supply<\/em> into it, fastest, with the assets it already has \u2014 then checks that against the constraints the TBMM report names honestly.<\/p>\n<h3>The two axes<\/h3>\n<div class=\"axes-def\">\n<div><span class=\"k\">Opportunity strength (vertical)<\/span><br \/>Export reach + strategic value. Higher = further up.<\/div>\n<div><span class=\"k\">Time to first revenue (horizontal)<\/span><br \/>How fast a Turkish SME banks the first contract. Faster = further left.<\/div>\n<div><span class=\"k crimson\">Bubble size<\/span><br \/>Scale of addressable demand \u2014 niche to very large.<\/div>\n<\/p><\/div>\n<h3>Why chains 3\u20135<\/h3>\n<p class=\"muted\">Foundation (1) and Infrastructure (2) are gated by capital, compute and chips \u2014 the very things the report flags as T\u00fcrkiye&#8217;s weaknesses, so they read as slow, strategic bets to <em>consume<\/em> and selectively build for sovereignty. The exportable value sits in Products (3), Solutions &amp; Services (4) and Knowledge &amp; Governance (5) \u2014 enter via 4, scale via 3, defend via 5.<\/p>\n<\/p><\/div>\n<div>\n<h2>Discipline &amp; honesty<\/h2>\n<p class=\"muted\">Each wedge carries a confidence tag and, crucially, a <b>binding constraint<\/b> drawn from the TBMM report&#8217;s own weakness analysis \u2014 because a decision-grade instrument shows its risks rather than hiding them behind a score.<\/p>\n<ul>\n<li><b>High<\/b> \u2014 active market with a Turkish base already visible.<\/li>\n<li><b>Medium<\/b> \u2014 credible fit, execution unproven at export scale.<\/li>\n<li><b>Emerging<\/b> \u2014 market being created now; early-mover upside, higher risk.<\/li>\n<\/ul>\n<h3>On defence<\/h3>\n<p class=\"muted\">Defence &amp; autonomous systems is a genuine national strength (ASELSAN, HAVELSAN, TUSA\u015e) and a stated priority, but it is prime-contractor-led, dual-use and export-controlled. The wedge here is scoped strictly to <b>civilian \/ dual-use supplier adjacencies<\/b> \u2014 simulation, test, cyber-assurance, embedded microelectronics \u2014 not weapons or autonomous-targeting capability.<\/p>\n<div class=\"limit\">\n        <b>Read this honestly.<\/b> Positions and sizes are analytical estimates from current public data, the TBMM report and the GAPS framework \u2014 a starting map, not audited figures. The discipline is to validate each wedge against real Turkish SMEs and live buyer demand, refresh quarterly, and measure success in contracts won and AI revenue exported \u2014 not pilots run.\n      <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/section>\n<footer class=\"ft\">\n<div class=\"wrap\">\n    <b>T\u00fcrkiye AI Opportunities Radar \u2014 v2<\/b> \u00b7 a country instrument of the Global AI Participation System (GAPS), operationalising TBMM AI Commission Report No.260 (March 2026). For government and industry decision-makers. Edition 2026 \u00b7 Q3.<\/p>\n<div class=\"src\">\n      Grounded in: TBMM AI Research Commission Report No.260 (Mar 2026) \u2014 SWOT + recommendations (Turkey AI Agency, Turkey Data Agency, framework AI Law, regulatory sandbox, trustworthy-AI stamp, national AI-in-agriculture roadmap, semiconductor\/compute investment plan, Turkic-language models with the Organization of Turkic States); TurkStat \/ Culture &amp; Tourism Ministry (2024 tourism $61.1B, 62.2M visitors); Trade Ministry &amp; T\u00dcB\u0130SAD (IT exports \u2248$4.9B 2024, e-Turquality); Presidency Digital Transformation Office &amp; Ministry of Industry &amp; Technology (National AI Strategy + Action Plan; Public AI Directorate, Dec 2025; T\u00dcB\u0130TAK 1711\/1007\/2244\/BiGG, Sectoral Turkish LLM Call, T\u00dcSEB\/T\u00dcYZE, KOSGEB, data-centre incentives); health data estate (e-Nab\u0131z, MEDULA, HIMSS EMRAM 6\u20137); agriculture data (TARB\u0130L, \u00c7ift\u00e7i Kay\u0131t Sistemi); Turkish LLM ecosystem (Kumru-2B, T3AI, Trendyol). Figures rounded; verify against primary sources before commitment.\n    <\/div>\n<\/p><\/div>\n<\/footer>\n<p><script>\nconst CHAINS={\n  1:{name:\"Foundation AI\", short:\"Foundation\", raw:\"#7B78E8\", tier:\"enable\"},\n  2:{name:\"AI Infrastructure\", short:\"Infrastructure\", raw:\"#4E86C6\", tier:\"enable\"},\n  3:{name:\"AI Products (SaaS & Agents)\", short:\"Products\", raw:\"#1FB2A6\", tier:\"sell\"},\n  4:{name:\"AI Solutions & Services\", short:\"Solutions & Services\", raw:\"#E0A43B\", tier:\"sell\"},\n  5:{name:\"AI Knowledge & Governance\", short:\"Knowledge & Governance\", raw:\"#D172A0\", tier:\"sell\"}\n};<\/p>\n<p>\/\/ strength & ttr on 1..5; size 1..4\nconst WEDGES=[\n {id:\"F1\", chain:1, name:\"Sovereign & Turkic-Language Foundation Models\", audience:\"both\",\n  strength:3, ttr:5, size:2, barrier:\"High\", conf:\"medium\", ttrLabel:\"18\u201336 months\", market:\"Strategic\", exp:\"Low (sovereignty)\",\n  buyer:\"The state and domestic enterprises first; Turkic-world markets via shared models \u2014 a sovereignty asset more than an export line.\",\n  fit:\"A real local stack already exists \u2014 Kumru-2B, T3AI, Trendyol 7\u201370B \u2014 with native corpora and benchmarks.\",\n  constraint:\"Compute scarcity and semiconductor dependency make frontier training costly; this is a consume-and-build-for-sovereignty layer, not a fast export business.\",\n  gov:\"Fund via the Sectoral Turkish LLM Call and T\u00dcB\u0130TAK 1711; pursue joint Turkic-language models with the Organization of Turkic States.\",\n  ind:\"Don't chase frontier scale \u2014 fine-tune and specialise open\/local models for vertical, exportable applications.\",\n  why:\"Owning the language layer is strategic leverage that every downstream Turkish product can build on.\",\n  evidence:\"Kumru-2B (Oct 2025, 500GB), T3AI (T3\/Baykar), Trendyol LLMs; TurkishMMLU\/TurkBench.\",\n  tbmm:\"Turkic-language models w\/ Org. of Turkic States\"},<\/p>\n<p> {id:\"I1\", chain:2, name:\"Regional AI Compute & Data-Centre Services\", audience:\"government\",\n  strength:3, ttr:5, size:2, barrier:\"High\", conf:\"medium\", ttrLabel:\"18\u201336 months\", market:\"Large\", exp:\"Regional\",\n  buyer:\"Domestic AI developers, health\/finance workloads needing local processing; later, regional sovereign-cloud demand.\",\n  fit:\"Data-centre land-allocation incentives exist; national HPC (TRUBA, \u0130T\u00dc UHeM) provides a base.\",\n  constraint:\"Hardware and semiconductor dependency plus high capital intensity \u2014 the report's clearest infrastructure weakness; slow to stand up.\",\n  gov:\"Deliver the report's semiconductor &amp; compute investment plan; scale data-centre incentives; expand TRUBA\/UHeM.\",\n  ind:\"Enter at the services layer \u2014 GPU\/inference hosting, MLOps, edge deployment \u2014 not chip fabrication.\",\n  why:\"Sovereign compute unlocks the data-bound wedges (health especially) that can't run on foreign clouds.\",\n  evidence:\"Data-centre incentives; TRUBA &amp; \u0130T\u00dc UHeM HPC; TBMM semiconductor inventory recommendation.\",\n  tbmm:\"Semiconductor & compute investment plan\"},<\/p>\n<p> {id:\"P1\", chain:3, name:\"Tourism AI SaaS\", audience:\"both\",\n  strength:5, ttr:2, size:4, barrier:\"Low\u2013Med\", conf:\"high\", ttrLabel:\"3\u20139 months\", market:\"Very large\", exp:\"Very high\",\n  buyer:\"Hotels, travel agencies and tourism boards \u2014 domestically first, then Greece, Spain, MENA and Central Asia.\",\n  fit:\"World's 4th most-visited country with a huge, fragmented SME hotel market and multilingual demand \u2014 an unmatched home test-bed.\",\n  constraint:\"Weak productization culture (services-to-SaaS gap) noted across the sector; needs deliberate export packaging.\",\n  gov:\"Stand up a tourism-AI cluster; open TGA data; add a SaaS export incentive (e-Turquality).\",\n  ind:\"Build dynamic-pricing + multilingual guest-assistant SaaS on the domestic market, then export to similar tourism economies.\",\n  why:\"No other country offers this proving ground at this scale; products validated at home export straight to peer markets.\",\n  evidence:\"$61.1B tourism revenue, 62.2M visitors in 2024 (TurkStat).\",\n  tbmm:\"Sector specialisation in areas of advantage\"},<\/p>\n<p> {id:\"P2\", chain:3, name:\"Agriculture AI SaaS\", audience:\"both\",\n  strength:4, ttr:3, size:3, barrier:\"Med\", conf:\"medium\", ttrLabel:\"6\u201318 months\", market:\"Large\", exp:\"High\",\n  buyer:\"Agribusinesses, cooperatives and farmers domestically; export to structurally similar agrarian economies.\",\n  fit:\"One of Europe's largest agricultural land bases, with data platforms (TARB\u0130L, e-Tar\u0131m, \u00c7ift\u00e7i Kay\u0131t Sistemi) already collecting at scale.\",\n  constraint:\"Small-scale farms, low digitalization and heterogeneous data limit scale economics; AI-call uptake in agriculture is low. Needs farmer finance and standardised data.\",\n  gov:\"Deliver the report's National AI-in-Agriculture Roadmap; extend low-interest credit, grants and leasing to farmers; open TARB\u0130L data.\",\n  ind:\"Start with one high-value crop or process (irrigation, yield, disease detection); productize the pilot before scaling.\",\n  why:\"A vast, data-rich land base with low competition \u2014 the report flags agriculture as a strategic opportunity.\",\n  evidence:\"Europe-scale agricultural land; TARB\u0130L \/ \u00c7ift\u00e7i Kay\u0131t Sistemi data platforms.\",\n  tbmm:\"National AI-in-Agriculture Roadmap + farmer finance\"},<\/p>\n<p> {id:\"P3\", chain:3, name:\"Logistics & Cross-Border Trade AI\", audience:\"both\",\n  strength:4, ttr:3, size:3, barrier:\"Med\", conf:\"medium\", ttrLabel:\"6\u201312 months\", market:\"Large\", exp:\"Very high\",\n  buyer:\"Logistics firms and freight forwarders on the EU\u2013Asia corridor; customs-adjacent operations.\",\n  fit:\"T\u00fcrkiye's position as the EU\u2013Asia trade bridge, with a strong domestic logistics sector.\",\n  constraint:\"Data-sharing and standardisation gaps; needs open customs\/trade data to build strong models.\",\n  gov:\"Stand up a logistics-AI cluster; open customs and trade data for model-building.\",\n  ind:\"Build route-optimization + customs-prediction SaaS; expand along the corridors you already serve.\",\n  why:\"Geographic advantage becomes proprietary corridor data no distant competitor can match.\",\n  evidence:\"EU\u2013Asia bridge position; strong domestic logistics sector.\",\n  tbmm:\"Logistics named as low-competition opportunity\"},<\/p>\n<p> {id:\"P4\", chain:3, name:\"AI Agents & Micro-SaaS for Global SMEs\", audience:\"industry\",\n  strength:3, ttr:2, size:2, barrier:\"Low\u2013Med\", conf:\"medium\", ttrLabel:\"3\u20139 months\", market:\"Medium\", exp:\"High\",\n  buyer:\"SMEs worldwide, reached through AWS, Azure and Google Cloud marketplaces.\",\n  fit:\"A young developer workforce, a unicorn precedent (Insider) and ~$2.6B venture funding (2024).\",\n  constraint:\"Early-stage startups struggle to raise; weak entrepreneurship-to-export culture. Distribution discipline matters more than tech.\",\n  gov:\"Support cloud-marketplace onboarding; give AI products an export fast-track (e-Turquality).\",\n  ind:\"Build niche AI-agent products (sales, support, procurement); distribute via cloud marketplaces from day one.\",\n  why:\"Marketplace distribution bypasses the scale disadvantage \u2014 a small team can reach a global buyer base.\",\n  evidence:\"$2.6B venture funding (2024); Insider unicorn; ~88k ICT\/engineering graduates\/yr.\",\n  tbmm:\"Commercialisation & export-culture recommendations\"},<\/p>\n<p> {id:\"S1\", chain:4, name:\"AI Integration & Automation Services\", audience:\"industry\",\n  strength:4, ttr:1, size:4, barrier:\"Low\", conf:\"high\", ttrLabel:\"< 3 months\", market:\"Very large\", exp:\"High\",\n  buyer:\"EU SMEs &#038; mid-caps outsourcing AI integration, workflow automation and support.\",\n  fit:\"289k-strong ICT workforce, EU as primary export channel, software-heavy and cost-competitive.\",\n  constraint:\"Talent depth is thin in AI theory\/algorithms and brain drain is real; services scale on delivery discipline, not deep research.\",\n  gov:\"Extend e-Turquality and export credit to AI-service firms; route KOSGEB support to AI adoption.\",\n  ind:\"Pick a vertical, build two reusable automation modules, land three EU pilot clients, then productize.\",\n  why:\"A services-and-trust market, not a compute race \u2014 the base already exists informally and just needs productizing.\",\n  evidence:\"Turkish IT exports \u2248$4.9B in 2024 (EU-primary); e-Turquality backs 39+ exporters.\",\n  tbmm:\"Fastest on-ramp \u2014 Chain 4 entry\"},\n\n {id:\"S2\", chain:4, name:\"RAG &#038; Enterprise Knowledge Systems\", audience:\"industry\",\n  strength:3, ttr:1, size:3, barrier:\"Low\u2013Med\", conf:\"high\", ttrLabel:\"2\u20136 months\", market:\"Large\", exp:\"Medium\",\n  buyer:\"Turkish banks, insurers and manufacturing groups first; then EU and Gulf enterprises.\",\n  fit:\"BFSI is the largest ICT vertical; Turkish-native models (e.g. Kumru API) enable high-quality Turkish RAG.\",\n  constraint:\"Enterprise data access and quality issues; security concerns limit use of large models in sensitive workflows.\",\n  gov:\"Run procurement pilots inside public institutions (buy-local) to seed reference deployments.\",\n  ind:\"Build vertical RAG assistants for regulated Turkish enterprises, then export the template to the Gulf.\",\n  why:\"Strong, well-funded domestic demand pays for the productization that later exports.\",\n  evidence:\"BFSI is T\u00fcrkiye's largest ICT vertical; Turkish API-first models now available.\",\n  tbmm:\"Public-sector AI: document\/search optimisation\"},\n\n {id:\"S3\", chain:4, name:\"Manufacturing &#038; Industrial AI\", audience:\"both\",\n  strength:4, ttr:4, size:3, barrier:\"Med\", conf:\"medium\", ttrLabel:\"6\u201318 months\", market:\"Large\", exp:\"Very high\",\n  buyer:\"Turkish export factories (textiles, automotive, electronics) and EU\/Gulf plants.\",\n  fit:\"Large export-oriented manufacturing base; Industry 4.0 in organised industrial zones; SAHA \u0130stanbul \/ SAYZEK clusters.\",\n  constraint:\"Hardware\/software foreign dependency, standardisation gaps and weak SME AI adoption; reliable test environments are scarce.\",\n  gov:\"Channel the Technology-focused Industry Move and KOSGEB digitalization support; leverage SAHA\/SAYZEK clusters.\",\n  ind:\"Build predictive-maintenance + vision quality-control for one sub-sector, then replicate across factories.\",\n  why:\"Deep, privileged access to industrial processes creates embedded, sticky, exportable systems.\",\n  evidence:\"Export-led manufacturing; digital-twin demand in steel, automotive, energy.\",\n  tbmm:\"Industry 4.0 strength; SME-adoption recommendation\"},\n\n {id:\"S4\", chain:4, name:\"Health AI Decision-Support &#038; Operations\", audience:\"both\",\n  strength:5, ttr:4, size:3, barrier:\"Med\u2013High\", conf:\"medium\", ttrLabel:\"12\u201324 months\", market:\"Large\", exp:\"High\",\n  buyer:\"Hospitals, imaging centres and health systems domestically; export to peer systems once validated.\",\n  fit:\"A world-class data estate \u2014 e-Nab\u0131z, SBYS, MEDULA, HIMSS EMRAM 6\u20137, KETEM screening, CDA\/HL7\/SNOMED interoperability \u2014 the report's flagship strength.\",\n  constraint:\"Public health data is largely closed to researchers; KVKK over-application, long\/costly product registration and local-processing compute needs slow deployment.\",\n  gov:\"Open controlled, anonymised health data (per the report's data-governance recommendation); fund via T\u00dcSEB\/T\u00dcYZE; scale KETEM AI screening.\",\n  ind:\"Build decision-support (not replacement) \u2014 imaging triage, documentation, workflow \u2014 inside one hospital group, then certify and export.\",\n  why:\"Few countries have this data estate; positioned as clinician decision-support, it is high-value and defensible.\",\n  evidence:\"e-Nab\u0131z, MEDULA, HIMSS EMRAM 6\u20137; KETEM cancer-screening network; T\u00dcSEB\/T\u00dcYZE calls.\",\n  tbmm:\"AI as decision-support in health; controlled data sharing\"},\n\n {id:\"S5\", chain:4, name:\"Defence &#038; Autonomous-Systems Adjacencies\", audience:\"government\",\n  strength:4, ttr:5, size:2, barrier:\"High\", conf:\"medium\", ttrLabel:\"18\u201336 months\", market:\"Strategic\", exp:\"Restricted\",\n  buyer:\"Defence primes (ASELSAN, HAVELSAN, TUSA\u015e) and their supplier ecosystem \u2014 largely state and export-controlled.\",\n  fit:\"Deep defence-industry base with real AI capability and domestic microelectronics (FPGA\/DSP\/ARM); SAHA \u0130stanbul cluster.\",\n  constraint:\"Prime-led, dual-use and export-controlled \u2014 not a straightforward SME export wedge. Foreign hardware dependency persists.\",\n  gov:\"Deliver the report's National AI Security Strategy; build cyber test environments; strengthen the supplier ecosystem.\",\n  ind:\"SME participation is in civilian \/ dual-use adjacencies only \u2014 simulation &amp; test, cyber-assurance, embedded components, MLOps for the supply chain.\",\n  why:\"A genuine national strength, but the economic opportunity for SMEs sits in the enabling supply chain, not weapons.\",\n  evidence:\"ASELSAN\/HAVELSAN\/TUSA\u015e AI programmes; domestic microelectronics; SAHA \u0130stanbul \/ SAYZEK.\",\n  tbmm:\"National AI Security Strategy \u2014 scoped civilian\/dual-use\"},\n\n {id:\"K1\", chain:5, name:\"EU AI Act Compliance-as-a-Service\", audience:\"industry\",\n  strength:4, ttr:2, size:3, barrier:\"Low\u2013Med\", conf:\"emerging\", ttrLabel:\"3\u20136 months\", market:\"Large\", exp:\"Very high\",\n  buyer:\"EU SMEs and mid-caps needing AI Act conformity \u2014 plus Turkish exporters selling into the EU.\",\n  fit:\"Draft Turkish AI law is aligned to the EU AI Act; English + legal-tech talent; EU-adjacent timezone.\",\n  constraint:\"A market being created now \u2014 buyer demand still forming; credibility must be earned early.\",\n  gov:\"Deliver the T\u00fcrkiye AI Law with its regulatory sandbox and trustworthy-AI stamp; pursue EU mutual recognition.\",\n  ind:\"Build two reusable audit + documentation templates, win three pilots, package as a compliance SaaS-plus-service.\",\n  why:\"Regulation creates the demand on a fixed timeline; it's a process-and-trust market, not frontier ML.\",\n  evidence:\"Turkish draft AI legislation tracks the EU AI Act; EU is the primary export destination.\",\n  tbmm:\"AI Law + sandbox + trustworthy-AI stamp; mutual recognition\"},\n\n {id:\"K2\", chain:5, name:\"AI Evaluation &#038; Red-Teaming Services\", audience:\"industry\",\n  strength:4, ttr:2, size:2, barrier:\"Med\", conf:\"emerging\", ttrLabel:\"3\u20136 months\", market:\"Medium\", exp:\"Very high\",\n  buyer:\"Global AI labs and enterprises; EU AI Act-driven testing and assurance buyers.\",\n  fit:\"Active Turkish benchmark ecosystem and low-resource-language evaluation expertise, at a cost advantage.\",\n  constraint:\"Nascent market; requires published, credible benchmarks to win trust \u2014 and scarce deep-ML talent.\",\n  gov:\"Progress the trustworthy-AI stamp into an exportable conformity standard; fund a national evaluation lab (TSE\/T\u00dcB\u0130TAK).\",\n  ind:\"Offer multilingual hallucination, bias and red-team testing packages; publish open benchmarks for credibility.\",\n  why:\"Trust is becoming a parallel industry to AI generation \u2014 and credibility is earned openly, not bought.\",\n  evidence:\"TurkishMMLU, TurkBench, TR-MMLU; TSE trustworthy-AI stamp work underway.\",\n  tbmm:\"Trustworthy-AI stamp &#038; conformity assessment\"},\n\n {id:\"K3\", chain:5, name:\"Turkish &#038; Turkic Data &#038; Language Assets\", audience:\"both\",\n  strength:5, ttr:3, size:3, barrier:\"Med\", conf:\"high\", ttrLabel:\"6\u201312 months\", market:\"Large\", exp:\"Very high\",\n  buyer:\"Global model labs, enterprises needing Turkish\/Turkic NLP, and Central Asian markets (~200M Turkic speakers).\",\n  fit:\"Native corpora, benchmarks and models already exist; a genuine linguistic moat plus a data-annotation cost advantage.\",\n  constraint:\"Public-data access is restricted (KVKK, closed datasets); the upside depends on the report's open-data framework landing.\",\n  gov:\"Stand up the T\u00fcrkiye Data Agency and open-data framework; build the Turkish data pool\/portal; fund Turkic corpora.\",\n  ind:\"Package domain-specific Turkish datasets and fine-tuned vertical models; license via APIs and marketplaces.\",\n  why:\"A linguistic moat aligned with an already-funded sovereignty priority \u2014 hard for outsiders to replicate.\",\n  evidence:\"Kumru\/T3AI\/Trendyol; Turkic languages ~200M speakers; TurkishMMLU\/TurkBench.\",\n  tbmm:\"T\u00fcrkiye Data Agency + open-data framework\"}\n];\n\n\/\/ geometry\nconst VB={w:1000,h:620}, pad={l:92,r:54,t:46,b:74};\nconst plotW=VB.w-pad.l-pad.r, plotH=VB.h-pad.t-pad.b;\nconst sizeR={1:7,2:10,3:13,4:17};\nconst xForTtr=t=>pad.l+((t-1)\/4)*plotW;\nconst yForStr=s=>pad.t+((5-s)\/4)*plotH;\nconst state={aud:\"all\", chain:\"all\", active:null};<\/p>\n<p>function renderGrid(){\n  const g=document.getElementById(\"gridLayer\");let h=\"\";\n  for(let i=1;i<=5;i++){const x=xForTtr(i),y=yForStr(i);\n    h+=`<line class=\"grid-line\" x1=\"${x}\" y1=\"${pad.t}\" x2=\"${x}\" y2=\"${pad.t+plotH}\"\/>`;\n    h+=`<line class=\"grid-line\" x1=\"${pad.l}\" y1=\"${y}\" x2=\"${pad.l+plotW}\" y2=\"${y}\"\/>`;}\n  h+=`<text class=\"quad-label\" x=\"${pad.l+8}\" y=\"${pad.t+18}\">\u25cd QUICK WINS<\/text>`;\n  h+=`<text class=\"quad-label\" x=\"${pad.l+plotW-8}\" y=\"${pad.t+18}\" text-anchor=\"end\">STRATEGIC BETS<\/text>`;\n  h+=`<text class=\"quad-label\" x=\"${pad.l+8}\" y=\"${pad.t+plotH-10}\">CASHFLOW FILLERS<\/text>`;\n  h+=`<text class=\"axis-label\" x=\"${pad.l}\" y=\"${VB.h-26}\">FASTER TO REVENUE \u2192\u2192\u2192 SLOWER<\/text>`;\n  h+=`<text class=\"axis-label\" transform=\"translate(30,${pad.t+plotH}) rotate(-90)\">WEAKER \u2192\u2192\u2192 STRONGER OPPORTUNITY<\/text>`;\n  const t={1:\"<3mo\",2:\"3\u20139mo\",3:\"6\u201312mo\",4:\"6\u201318mo\",5:\"18\u201336mo\"};\n  for(let i=1;i<=5;i++)h+=`<text class=\"axis-tick\" x=\"${xForTtr(i)}\" y=\"${pad.t+plotH+20}\" text-anchor=\"middle\">${t[i]}<\/text>`;\n  g.innerHTML=h;\n}\nfunction renderDots(){\n  const layer=document.getElementById(\"dotLayer\");let h=\"\";\n  \/\/ jitter overlapping points slightly by index\n  const seen={};\n  WEDGES.forEach((w,idx)=>{\n    let x=xForTtr(w.ttr), y=yForStr(w.strength);\n    const key=w.ttr+\"_\"+w.strength; seen[key]=(seen[key]||0)+1;\n    if(seen[key]>1){x+=(seen[key]-1)*22; y+=(seen[key]-1)*6;}\n    const r=sizeR[w.size], col=CHAINS[w.chain].raw;\n    h+=`<g class=\"signal-dot\" data-id=\"${w.id}\" tabindex=\"0\" role=\"button\"\n        aria-label=\"${w.id} ${w.name}. ${CHAINS[w.chain].short}. ${w.market} market, ${w.ttrLabel} to revenue.\"\n        style=\"animation-delay:${idx*40}ms\" transform=\"translate(${x},${y})\">\n       <circle class=\"halo\" r=\"${r+9}\" fill=\"none\" stroke=\"${col}\" stroke-width=\"1.5\" opacity=\"0\"\/>\n       <circle class=\"halo\" r=\"${r+4}\" fill=\"${col}\" opacity=\".16\"\/>\n       <circle class=\"core\" r=\"${r}\" fill=\"${col}\"\/>\n       <text class=\"tag\" x=\"${r+6}\" y=\"4\">${w.id}<\/text><\/g>`;\n  });\n  layer.innerHTML=h;\n  layer.querySelectorAll(\".signal-dot\").forEach(el=>{\n    const id=el.dataset.id;\n    el.addEventListener(\"mouseenter\",()=>setActive(id));\n    el.addEventListener(\"focus\",()=>setActive(id));\n    el.addEventListener(\"click\",()=>jumpToCard(id));\n    el.addEventListener(\"keydown\",e=>{if(e.key===\"Enter\"||e.key===\" \"){e.preventDefault();jumpToCard(id);}});\n  });\n}\nfunction renderInspector(w){\n  const b=document.getElementById(\"inspBody\");\n  if(!w){b.innerHTML=`<\/p>\n<p class=\"insp-empty\">Hover, tap, or tab through a signal on the screen to read its buyer, binding constraint, and first move here.<\/p>\n<p>`;return;}\n  b.innerHTML=`<\/p>\n<div class=\"insp-id\">${w.id} \u00b7 CHAIN 0${w.chain} \u00b7 ${w.market.toUpperCase()}<\/div>\n<div class=\"insp-title\">${w.name}<\/div>\n<div class=\"insp-chain\">${CHAINS[w.chain].name}<\/div>\n<div class=\"insp-metrics\">\n<div>\n<div class=\"k\">Time to revenue<\/div>\n<div class=\"v\">${w.ttrLabel}<\/div>\n<\/div>\n<div>\n<div class=\"k\">Export potential<\/div>\n<div class=\"v\">${w.exp}<\/div>\n<\/div>\n<div>\n<div class=\"k\">Entry barrier<\/div>\n<div class=\"v\">${w.barrier}<\/div>\n<\/div>\n<div>\n<div class=\"k\">Confidence<\/div>\n<div class=\"v\">${w.conf[0].toUpperCase()+w.conf.slice(1)}<\/div>\n<\/div><\/div>\n<div class=\"insp-why\"><b>Why winnable.<\/b> ${w.why}<\/div>\n<div class=\"insp-constraint\"><b>Binding constraint:<\/b> ${w.constraint}<\/div>\n<div class=\"insp-jump\"><a href=\"#card-${w.id}\" onclick=\"jumpToCard('${w.id}')\">Open full wedge \u2193<\/a><\/div>\n<p>`;\n}\nfunction renderCards(){\n  document.getElementById(\"cardGrid\").innerHTML=WEDGES.map(w=>`<\/p>\n<article class=\"wedge\" id=\"card-${w.id}\" data-id=\"${w.id}\" style=\"--cc:${CHAINS[w.chain].raw}\">\n<div class=\"wedge-top\"><span class=\"wedge-id\">${w.id} \u00b7 Chain 0${w.chain}<\/span>\n        <span class=\"tag conf-${w.conf}\">${w.conf} confidence<\/span><\/div>\n<h3>${w.name}<\/h3>\n<div class=\"tags\">\n        <span class=\"tag chain\" style=\"background:${CHAINS[w.chain].raw}\">${CHAINS[w.chain].short}<\/span>\n        <span class=\"tag\">${w.ttrLabel}<\/span>\n        <span class=\"tag\">Barrier: ${w.barrier}<\/span>\n        <span class=\"tag\">Export: ${w.exp}<\/span>\n      <\/div>\n<dl>\n<dt>Buyer<\/dt>\n<dd>${w.buyer}<\/dd>\n<dt>T\u00fcrkiye fit<\/dt>\n<dd>${w.fit}<\/dd>\n<\/dl>\n<div class=\"constraint\"><span class=\"k\">Binding constraint (per TBMM report)<\/span>${w.constraint}<\/div>\n<div class=\"altitudes\">\n<div class=\"alt gov\"><span class=\"who\">Gov lever<\/span><\/p>\n<p>${w.gov}<\/p>\n<\/div>\n<div class=\"alt ind\"><span class=\"who\">SME move<\/span><\/p>\n<p>${w.ind}<\/p>\n<\/div><\/div>\n<div class=\"footer-row\">\n        <span class=\"evidence\"><span class=\"k\">Evidence<\/span>${w.evidence}<\/span>\n        <span class=\"tbmm\">Aligns: ${w.tbmm}<\/span>\n      <\/div>\n<\/article>\n<p>`).join(\"\");\n}\nfunction renderLegend(){\n  const el=document.getElementById(\"legend\");let h=`<span class=\"grp\">Enabling \/ sovereignty \u2192<\/span>`;\n  [1,2].forEach(c=>h+=`<span class=\"li\"><span class=\"sw\" style=\"background:${CHAINS[c].raw}\"><\/span>${CHAINS[c].short}<\/span>`);\n  h+=`<span class=\"grp\" style=\"margin-left:8px\">Export sweet spot \u2192<\/span>`;\n  [3,4,5].forEach(c=>h+=`<span class=\"li\"><span class=\"sw\" style=\"background:${CHAINS[c].raw}\"><\/span>${CHAINS[c].short}<\/span>`);\n  h+=`<span class=\"sizes\">Bubble = demand\n      <span><b style=\"width:8px;height:8px\"><\/b>niche<\/span>\n      <span><b style=\"width:14px;height:14px\"><\/b>large<\/span>\n      <span><b style=\"width:20px;height:20px\"><\/b>very large<\/span><\/span>`;\n  el.innerHTML=h;\n}\nfunction renderChips(){\n  const box=document.getElementById(\"chainChips\");\n  let h=`<button class=\"chip\" data-chain=\"all\" aria-pressed=\"true\"><span class=\"dot\" style=\"--c:#8A97A3\"><\/span>All<\/button>`;\n  Object.entries(CHAINS).forEach(([n,d])=>{h+=`<button class=\"chip\" data-chain=\"${n}\" aria-pressed=\"false\"><span class=\"dot\" style=\"--c:${d.raw}\"><\/span>${d.short}<\/button>`;});\n  box.insertAdjacentHTML(\"beforeend\",h);\n  box.querySelectorAll(\".chip\").forEach(c=>c.addEventListener(\"click\",()=>{\n    box.querySelectorAll(\".chip\").forEach(x=>x.setAttribute(\"aria-pressed\",\"false\"));\n    c.setAttribute(\"aria-pressed\",\"true\");state.chain=c.dataset.chain;applyFilters();}));\n}\nfunction bindAudience(){\n  document.querySelectorAll(\".segmented button\").forEach(b=>b.addEventListener(\"click\",()=>{\n    document.querySelectorAll(\".segmented button\").forEach(x=>x.setAttribute(\"aria-pressed\",\"false\"));\n    b.setAttribute(\"aria-pressed\",\"true\");state.aud=b.dataset.aud;applyFilters();}));\n}\nfunction matches(w){\n  const a=state.aud===\"all\"||w.audience===state.aud||w.audience===\"both\";\n  const c=state.chain===\"all\"||String(w.chain)===state.chain;\n  return a&&c;\n}\nfunction applyFilters(){\n  let vis=0;\n  WEDGES.forEach(w=>{\n    const ok=matches(w);if(ok)vis++;\n    const dot=document.querySelector(`.signal-dot[data-id=\"${w.id}\"]`);\n    const card=document.getElementById(`card-${w.id}`);\n    if(dot)dot.classList.toggle(\"dim\",!ok);\n    if(card){card.style.display=ok?\"\":\"none\";\n      card.classList.toggle(\"view-gov\",state.aud===\"government\");\n      card.classList.toggle(\"view-ind\",state.aud===\"industry\");}\n  });\n  document.getElementById(\"noResults\").style.display=vis?\"none\":\"block\";\n  if(state.active){const w=WEDGES.find(x=>x.id===state.active);if(w&&!matches(w)){state.active=null;renderInspector(null);}}\n}\nfunction setActive(id){\n  state.active=id;\n  document.querySelectorAll(\".signal-dot\").forEach(d=>d.classList.toggle(\"active\",d.dataset.id===id));\n  renderInspector(WEDGES.find(w=>w.id===id));\n}\nfunction jumpToCard(id){\n  const card=document.getElementById(`card-${id}`);\n  if(!card||card.style.display===\"none\")return;\n  card.scrollIntoView({behavior:\"smooth\",block:\"center\"});\n  card.classList.add(\"flash\");setTimeout(()=>card.classList.remove(\"flash\"),1400);\n}\nfunction bindCards(){document.querySelectorAll(\".wedge\").forEach(c=>c.addEventListener(\"mouseenter\",()=>setActive(c.dataset.id)));}<\/p>\n<p>renderGrid();renderDots();renderCards();renderLegend();renderChips();bindAudience();bindCards();applyFilters();\n<\/script><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Global AI Participation System \u00b7 Country Instrument \u00b7 v2 Edition 2026 \u00b7 Q3 \u2014 Living document T\u00fcrkiye AI Opportunities Radar A demand-first map of where T\u00fcrkiye and its SMEs can sell into the global AI economy now, organised by the five AI value chains. The instrument operationalises the TBMM AI Commission Report No.&nbsp;260 (March 2026)&hellip; <br \/> <a class=\"read-more\" href=\"https:\/\/ai4nations.org\/?page_id=985\">Read more<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"pagelayer_contact_templates":[],"_pagelayer_content":"","footnotes":""},"class_list":["post-985","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/ai4nations.org\/index.php?rest_route=\/wp\/v2\/pages\/985","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ai4nations.org\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/ai4nations.org\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/ai4nations.org\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ai4nations.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=985"}],"version-history":[{"count":32,"href":"https:\/\/ai4nations.org\/index.php?rest_route=\/wp\/v2\/pages\/985\/revisions"}],"predecessor-version":[{"id":1123,"href":"https:\/\/ai4nations.org\/index.php?rest_route=\/wp\/v2\/pages\/985\/revisions\/1123"}],"wp:attachment":[{"href":"https:\/\/ai4nations.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=985"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}