{"id":18836,"date":"2026-06-16T16:41:44","date_gmt":"2026-06-16T15:41:44","guid":{"rendered":"https:\/\/www.axpe.com\/?p=18836"},"modified":"2026-06-16T16:58:52","modified_gmt":"2026-06-16T15:58:52","slug":"el-dia-que-apagaron-un-modelo-de-ia-y-por-que-axpe-estaba-preparada","status":"publish","type":"post","link":"https:\/\/www.axpe.com\/en\/el-dia-que-apagaron-un-modelo-de-ia-y-por-que-axpe-estaba-preparada\/","title":{"rendered":"El d\u00eda que apagaron un modelo de IA (y por qu\u00e9 AXPE estaba preparada)"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"18836\" class=\"elementor elementor-18836\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1a41f57 e-flex e-con-boxed e-con e-parent\" data-id=\"1a41f57\" data-element_type=\"container\" data-e-type=\"container\" data-no-translation=\"\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-0ee3a97 elementor-widget elementor-widget-spacer\" data-id=\"0ee3a97\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-65e343e elementor-widget elementor-widget-heading\" data-id=\"65e343e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">The day an AI model was turned offf (and why AXPE was ready)<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4fee13f elementor-widget elementor-widget-spacer\" data-id=\"4fee13f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2de09c7 elementor-widget elementor-widget-qi_addons_for_elementor_blockquote\" data-id=\"2de09c7\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"qi_addons_for_elementor_blockquote.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"qodef-shortcode qodef-m qodef-qi-blockquote qodef-layout--inline qodef--icon-pack\">\n\t\t\t<h4 class=\"qodef-m-text\">\n\t\t\t\t\t\t\t<span class=\"qodef-m-icon\">\n\t\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-quote-right\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M464 32H336c-26.5 0-48 21.5-48 48v128c0 26.5 21.5 48 48 48h80v64c0 35.3-28.7 64-64 64h-8c-13.3 0-24 10.7-24 24v48c0 13.3 10.7 24 24 24h8c88.4 0 160-71.6 160-160V80c0-26.5-21.5-48-48-48zm-288 0H48C21.5 32 0 53.5 0 80v128c0 26.5 21.5 48 48 48h80v64c0 35.3-28.7 64-64 64h-8c-13.3 0-24 10.7-24 24v48c0 13.3 10.7 24 24 24h8c88.4 0 160-71.6 160-160V80c0-26.5-21.5-48-48-48z\"><\/path><\/svg>\t\t\t\t<\/span>\n\t\t\t\t\t\tWhat the Fable 5 ban teaches us about building with AI: how to avoid depending on any single model\t\t<\/h4>\n\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-360aa49 elementor-widget elementor-widget-text-editor\" data-id=\"360aa49\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p data-path-to-node=\"2\">This week, an artificial intelligence model that we had been using in production for days <b data-path-to-node=\"2\" data-index-in-node=\"90\">became unavailable overnight<\/b>. Not because of a technical glitch, nor due to a price change: because of a <b data-path-to-node=\"2\" data-index-in-node=\"195\">U.S. national security decision<\/b> that forced its manufacturer to cut off access outside its country, ultimately leaving it inaccessible to the entire world. A commercial product, publicly launched just a few days prior, <b data-path-to-node=\"2\" data-index-in-node=\"414\">shut down by order of a government that is not our own<\/b>.<\/p><p data-path-to-node=\"3\">We are sharing this because it hit close to home, and that is precisely why we want to explain how we experienced it. At <b data-path-to-node=\"3\" data-index-in-node=\"121\">AXPE<\/b>, we had incorporated this model \u2014<b data-path-to-node=\"3\" data-index-in-node=\"159\">Claude Fable 5<\/b>\u2014 into the suite of models available to our developers for our ongoing legacy technology migration projects. When we had to withdraw it this week, <b data-path-to-node=\"3\" data-index-in-node=\"320\">we switched back to Claude Opus 4.8 and GPT-5.5<\/b>, and kept delivering software exactly the same way, <b data-path-to-node=\"3\" data-index-in-node=\"420\">without a single day of downtime<\/b>. The reality is that Opus 4.8 and GPT-5.5 give us more than enough capability for what we need. An episode that would have been a crisis for many organizations <b data-path-to-node=\"3\" data-index-in-node=\"613\">was just a configuration change for us<\/b>.<\/p><p data-path-to-node=\"4\">That difference \u2014<b data-path-to-node=\"4\" data-index-in-node=\"17\">between a crisis and a configuration change<\/b>\u2014 is what this article is all about. And it is <b data-path-to-node=\"4\" data-index-in-node=\"107\">the most important lesson<\/b> that the Fable 5 case leaves for any <b data-path-to-node=\"4\" data-index-in-node=\"170\">CEO or CIO<\/b> who is putting AI at the core of their business.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a1f57d4 elementor-widget elementor-widget-image\" data-id=\"a1f57d4\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"1024\" height=\"512\" src=\"https:\/\/www.axpe.com\/wp-content\/uploads\/2026\/06\/GPT-infografia-3-1024x512.png\" class=\"attachment-large size-large wp-image-18840\" alt=\"\" srcset=\"https:\/\/www.axpe.com\/wp-content\/uploads\/2026\/06\/GPT-infografia-3-1024x512.png 1024w, https:\/\/www.axpe.com\/wp-content\/uploads\/2026\/06\/GPT-infografia-3-300x150.png 300w, https:\/\/www.axpe.com\/wp-content\/uploads\/2026\/06\/GPT-infografia-3-768x384.png 768w, https:\/\/www.axpe.com\/wp-content\/uploads\/2026\/06\/GPT-infografia-3-1536x768.png 1536w, https:\/\/www.axpe.com\/wp-content\/uploads\/2026\/06\/GPT-infografia-3-18x9.png 18w, https:\/\/www.axpe.com\/wp-content\/uploads\/2026\/06\/GPT-infografia-3-1300x650.png 1300w, https:\/\/www.axpe.com\/wp-content\/uploads\/2026\/06\/GPT-infografia-3.png 1774w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ed79790 elementor-widget elementor-widget-text-editor\" data-id=\"ed79790\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h4 data-path-to-node=\"2\">AI is already strategic. What is changing is who controls access to it.<\/h4><p data-path-to-node=\"3\">Over the last two years, the AI conversation within large corporate accounts and public administrations has almost always been the same: what use cases, what savings, what productivity, which model wins in a particular benchmark. Product-centric conversations. This week\u2019s blackout introduces a variable that almost no one was factoring into the equation: <b data-path-to-node=\"3\" data-index-in-node=\"356\">model access continuity as a vendor risk<\/b>.<\/p><p data-path-to-node=\"4\">Access to frontier AI no longer depends solely on the commercial contract between your company and a vendor. It ultimately depends on the <b data-path-to-node=\"4\" data-index-in-node=\"138\">politics of the country where that vendor is headquartered<\/b>. If tomorrow your document analysis engine, your development copilot, or your case management system relies on a single model, hosted by a single vendor, in a single jurisdiction, you have the exact same risk profile as when your entire business depended on a single data center without a disaster recovery plan. For a financial institution subject to <b data-path-to-node=\"4\" data-index-in-node=\"549\">DORA<\/b>, or for an agency providing an essential service under the <b data-path-to-node=\"4\" data-index-in-node=\"613\">ENS<\/b>, this is no longer a philosophical debate: <b data-path-to-node=\"4\" data-index-in-node=\"660\">it is an operational risk that will now appear in audits<\/b>.<\/p><p data-path-to-node=\"5\">The good news is that there is a solution, and it is not what the background noise suggests.<\/p><h4 data-path-to-node=\"6\">Sovereignty is not about having your own model. It is about not depending on any.<\/h4><p data-path-to-node=\"7\">The instinctive reaction to the blackout is to lament that Europe does not have its own frontier model and to demand one. That is a legitimate aspiration as a country, but it is the wrong answer for an organization that needs to operate in 2026, not 2030. No one is going to build a competitor to the American or Chinese tech giants from their IT department, and while waiting for someone to do so, exposure remains.<\/p><p data-path-to-node=\"8\">The sovereignty that is actually within reach for a Spanish organization today does not consist of owning a model, but of <b data-path-to-node=\"8\" data-index-in-node=\"122\">not depending on any single one in particular<\/b>. And that is an <b data-path-to-node=\"8\" data-index-in-node=\"184\">architectural decision, not a geopolitical one<\/b>. It means designing AI systems where the model is treated as what it truly is\u2014<b data-path-to-node=\"8\" data-index-in-node=\"309\">a replaceable component<\/b>\u2014sitting behind a layer that decouples the use case from the specific model running it. Done this way, <b data-path-to-node=\"8\" data-index-in-node=\"435\">switching vendors is a matter of hours<\/b>. It is, literally, what we did this week.<\/p><p data-path-to-node=\"9\">This is our core conviction at <b data-path-to-node=\"9\" data-index-in-node=\"31\">AXPE<\/b>, and we apply it across the two areas where AI is truly transforming our clients&#8217; businesses: in <b data-path-to-node=\"9\" data-index-in-node=\"133\">how we build software<\/b> and in <b data-path-to-node=\"9\" data-index-in-node=\"162\">how we deploy AI<\/b> on top of their data.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b612876 elementor-widget elementor-widget-image\" data-id=\"b612876\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"1024\" height=\"576\" src=\"https:\/\/www.axpe.com\/wp-content\/uploads\/2026\/06\/GPT-infografia-2-1024x576.png\" class=\"attachment-large size-large wp-image-18841\" alt=\"\" srcset=\"https:\/\/www.axpe.com\/wp-content\/uploads\/2026\/06\/GPT-infografia-2-1024x576.png 1024w, https:\/\/www.axpe.com\/wp-content\/uploads\/2026\/06\/GPT-infografia-2-300x169.png 300w, https:\/\/www.axpe.com\/wp-content\/uploads\/2026\/06\/GPT-infografia-2-768x432.png 768w, https:\/\/www.axpe.com\/wp-content\/uploads\/2026\/06\/GPT-infografia-2-1536x864.png 1536w, https:\/\/www.axpe.com\/wp-content\/uploads\/2026\/06\/GPT-infografia-2-18x10.png 18w, https:\/\/www.axpe.com\/wp-content\/uploads\/2026\/06\/GPT-infografia-2.png 1672w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-df5d18e elementor-widget elementor-widget-text-editor\" data-id=\"df5d18e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h4 data-path-to-node=\"2\">How we build it: AI writes the software, human judgment remains in control<\/h4><p data-path-to-node=\"3\">We have been operating an <b data-path-to-node=\"3\" data-index-in-node=\"26\">industrialized legacy modernization factory<\/b> for months, where AI does the heavy lifting. Critical systems written thirty or forty years ago in Natural, COBOL, or Oracle Forms [&#8230;] are now migrated to a modern Java framework in <b data-path-to-node=\"3\" data-index-in-node=\"254\">about twelve months, with proven end-to-end functional parity<\/b>. This is not a PowerPoint promise: there are backends and mobile applications already in production, <b data-path-to-node=\"3\" data-index-in-node=\"417\">written entirely with AI under the supervision of architects<\/b>.<\/p><p data-path-to-node=\"4\">And here is the key that connects back to Fable 5: <b data-path-to-node=\"4\" data-index-in-node=\"51\">the value is not in the model, it is in the orchestration<\/b>. What truly sets AXPE apart is not the model of the moment\u2014which we swap whenever necessary\u2014but <b data-path-to-node=\"4\" data-index-in-node=\"205\">the factory surrounding it<\/b>: migration agents, corporate integration libraries, and, above all, our human-led methodology. That is why removing Fable and switching back to Opus 4.8 or GPT-5.5 cost us nothing: <b data-path-to-node=\"4\" data-index-in-node=\"413\">the factory is ours, the models are interchangeable<\/b>.<\/p><h4 data-path-to-node=\"6\">How we deploy it: Sovereign and private AI, within the client&#8217;s perimeter<\/h4><p data-path-to-node=\"7\">The second area involves sensitive use cases. The answer is not to connect to a commercial LLM in someone else&#8217;s cloud, but to <b data-path-to-node=\"7\" data-index-in-node=\"127\">deploy specialized, efficient models within the client&#8217;s own infrastructure<\/b>\u2014on-premise, in their private cloud, or in a sovereign cloud\u2014with explainability and traceability designed from day one for the <b data-path-to-node=\"7\" data-index-in-node=\"330\">AI Act<\/b>.<\/p><p data-path-to-node=\"8\"><b data-path-to-node=\"8\" data-index-in-node=\"0\">A model running within your own perimeter cannot be turned off by anyone<\/b>, because it is already in your house. That is the most concrete form of technological sovereignty, reinforced by alliances with European AI technology and sovereign cloud providers in Spain. An <b data-path-to-node=\"8\" data-index-in-node=\"267\">end-to-end European stack, free from dependencies<\/b> on hyperscalers or commercial models for what truly matters.<\/p><h4 data-path-to-node=\"10\">What this means for public procurement<\/h4><p data-path-to-node=\"11\">There is a takeaway that the public sector should not ignore. A procurement tender that awards an AI service without requiring <b data-path-to-node=\"11\" data-index-in-node=\"127\">model independence, reversibility, and a contingency plan is poorly designed<\/b> as of today. Procurement bodies that begin demanding these guarantees will be <b data-path-to-node=\"11\" data-index-in-node=\"282\">protecting the continuity of public services<\/b> with the same criteria they have used for years when requiring exit plans in outsourcing contracts.<\/p><h4 data-path-to-node=\"13\">AXPE&#8217;s Position<\/h4><p data-path-to-node=\"14\">The dilemma\u2014how to adopt AI quickly without becoming locked into a vendor\u2014has a solution: <b data-path-to-node=\"14\" data-index-in-node=\"90\">there is no need to choose between moving fast and staying protected<\/b>. The competitive advantage is not about guessing which model will win the race; it is about <b data-path-to-node=\"14\" data-index-in-node=\"251\">building in a way that makes you independent of the answer<\/b>.<\/p><p data-path-to-node=\"15\">We have spent more than twenty years working on critical systems for public administrations and large corporate accounts in Spain. Our approach is rooted in engineering: <b data-path-to-node=\"15\" data-index-in-node=\"170\">model independence from day one<\/b>, AI applied to the full software lifecycle, and <b data-path-to-node=\"15\" data-index-in-node=\"250\">sovereign deployment for data that cannot leave the perimeter<\/b>.<\/p><p data-path-to-node=\"16\">If AI is already a relevant piece of your systems plan, the question for the next committee meeting is not <i data-path-to-node=\"16\" data-index-in-node=\"107\">&#8220;which model do we use?&#8221;<\/i>, but <b data-path-to-node=\"16\" data-index-in-node=\"137\">&#8220;what happens the day we can no longer use it?&#8221;<\/b>. We already have the answer, and this week we put it to the test. If you are interested in benchmarking it against a real case, <b data-path-to-node=\"16\" data-index-in-node=\"313\">we are at your disposal<\/b>.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b9a7b15 elementor-widget elementor-widget-spacer\" data-id=\"b9a7b15\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>El d\u00eda que apagaron un modelo de IA (y por qu\u00e9 AXPE estaba preparada) Lo que el veto a Fable 5 nos ense\u00f1a sobre c\u00f3mo hay que construir con IA: para no depender de ning\u00fan modelo en particular Esta semana, un modelo de inteligencia artificial que llev\u00e1bamos d\u00edas utilizando en producci\u00f3n dej\u00f3 de estar disponible [&hellip;]<\/p>\n","protected":false},"author":32,"featured_media":18837,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[23,22],"tags":[62,273,270,286],"class_list":["post-18836","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-analysis-and-trends","category-press-room","tag-advance-analytics-ai","tag-axpe-consulting","tag-data-ai","tag-fable-5"],"_links":{"self":[{"href":"https:\/\/www.axpe.com\/en\/wp-json\/wp\/v2\/posts\/18836","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.axpe.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.axpe.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.axpe.com\/en\/wp-json\/wp\/v2\/users\/32"}],"replies":[{"embeddable":true,"href":"https:\/\/www.axpe.com\/en\/wp-json\/wp\/v2\/comments?post=18836"}],"version-history":[{"count":8,"href":"https:\/\/www.axpe.com\/en\/wp-json\/wp\/v2\/posts\/18836\/revisions"}],"predecessor-version":[{"id":19053,"href":"https:\/\/www.axpe.com\/en\/wp-json\/wp\/v2\/posts\/18836\/revisions\/19053"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.axpe.com\/en\/wp-json\/wp\/v2\/media\/18837"}],"wp:attachment":[{"href":"https:\/\/www.axpe.com\/en\/wp-json\/wp\/v2\/media?parent=18836"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.axpe.com\/en\/wp-json\/wp\/v2\/categories?post=18836"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.axpe.com\/en\/wp-json\/wp\/v2\/tags?post=18836"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}