{"id":8650,"date":"2026-11-09T12:12:33","date_gmt":"2026-11-09T12:12:33","guid":{"rendered":"https:\/\/poeditor.com\/blog\/?p=8650"},"modified":"2026-11-09T12:12:34","modified_gmt":"2026-11-09T12:12:34","slug":"build-vs-buy","status":"publish","type":"post","link":"https:\/\/poeditor.com\/blog\/build-vs-buy\/","title":{"rendered":"Build vs. buy: AI made the easy part easier. The hard part is still hard."},"content":{"rendered":"\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"863\" height=\"1024\" src=\"https:\/\/poeditor.com\/blog\/wp-content\/uploads\/2026\/11\/build-vs.-buy-863x1024.png\" alt=\"build vs. buy\" class=\"wp-image-8658\" srcset=\"https:\/\/poeditor.com\/blog\/wp-content\/uploads\/2026\/11\/build-vs.-buy-863x1024.png 863w, https:\/\/poeditor.com\/blog\/wp-content\/uploads\/2026\/11\/build-vs.-buy-253x300.png 253w, https:\/\/poeditor.com\/blog\/wp-content\/uploads\/2026\/11\/build-vs.-buy-768x911.png 768w, https:\/\/poeditor.com\/blog\/wp-content\/uploads\/2026\/11\/build-vs.-buy-1294x1536.png 1294w, https:\/\/poeditor.com\/blog\/wp-content\/uploads\/2026\/11\/build-vs.-buy.png 1483w\" sizes=\"auto, (max-width: 863px) 100vw, 863px\" \/><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\"><br>There&#8217;s a new version of the old build vs. buy debate going around: now that AI can write code in minutes, why would anyone still buy software instead of building it themselves? It&#8217;s a fair question. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">AI coding assistants really have made the first stretch of any project dramatically faster to produce. If you&#8217;ve never built a translation workflow before, you can now have something that looks functional within a day or two.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">But &#8220;looks functional&#8221; and &#8220;is reliable in production&#8221; are two different things.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Overview<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"#The-part-that-gets-easier\">The part that gets easier<\/a><\/li>\n\n\n\n<li><a href=\"#The-part-that-doesn't\">The part that doesn&#8217;t<\/a><\/li>\n\n\n\n<li><a href=\"#But-won't-AI-just-do-all-of-that-too,-eventually\">&#8220;But won&#8217;t AI just do all of that too, eventually?&#8221;<\/a><\/li>\n\n\n\n<li><a href=\"#The-real-cost-isn't-development\">The real cost isn&#8217;t development<\/a><\/li>\n\n\n\n<li><a href=\"#This-debate-isn't-new,-and-the-pattern-is-familiar\">This debate isn&#8217;t new, and the pattern is familiar<\/a><\/li>\n\n\n\n<li><a href=\"#The-real-moat-is-context\">The real moat is context<\/a><\/li>\n\n\n\n<li><a href=\"#Where-POEditor-fits\">Where POEditor fits<\/a><\/li>\n<\/ul>\n\n\n\n<h2 id=\"The-part-that-gets-easier\" class=\"wp-block-heading\">The part that gets easier<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">With AI, the first stretch of a translation workflow is genuinely trivial now:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Calling a translation API.<\/li>\n\n\n\n<li>Wiring up a basic interface to upload and download strings.<\/li>\n\n\n\n<li>Getting a rough first draft of translated content.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">None of this was especially hard before AI either, honestly \u2014 but AI makes it faster, and that speed can feel like proof that the whole problem is solved.<\/p>\n\n\n\n<h2 id=\"The-part-that-doesn't\" class=\"wp-block-heading\">The part that doesn&#8217;t<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">What AI speeds up is writing code. It doesn&#8217;t remove the complexity of running a translation workflow at scale, which includes:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Translation memory and glossary consistency: keeping terminology aligned across hundreds of strings, multiple languages, and multiple contributors over time.<\/li>\n\n\n\n<li>Quality assurance: fuzzy matching, automated checks, review workflows that catch errors before they ship.<\/li>\n\n\n\n<li>Permissions and roles: different access for internal teams, external translators, reviewers, and approvers.<\/li>\n\n\n\n<li>Audit trails: who changed what, when, and why, especially in a regulated industry.<\/li>\n\n\n\n<li>Integrations: connecting to a CMS, a codebase, CAT tools, existing processes, not just one API.<\/li>\n\n\n\n<li>Ongoing maintenance: someone has to update the glue code every time an external API changes, deprecates a feature, or adjusts pricing.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">AI can help write any one of these components faster. It doesn&#8217;t decide how they should work together, catch the edge cases unique to a business, or take responsibility when something breaks during a product launch.<\/p>\n\n\n\n<h2 id=\"But-won't-AI-just-do-all-of-that-too,-eventually\" class=\"wp-block-heading\">&#8220;But won&#8217;t AI just do all of that too, eventually?&#8221;<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">There&#8217;s a real argument worth taking seriously here: if AI keeps improving at the rate some are predicting, won&#8217;t it eventually handle the hard parts too? Not just the code, but the judgment calls, the edge-case handling, the ongoing maintenance?<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Maybe, someday. But today, there&#8217;s a meaningful difference between AI writing code faster and AI taking ownership of a system. Even in the most optimistic scenarios, something still has to:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Decide what &#8220;correct&#8221; looks like for a specific business&#8217;s rules.<\/li>\n\n\n\n<li>Notice when something breaks in a way nobody anticipated.<\/li>\n\n\n\n<li>Stay accountable when a client-facing translation is wrong, or a compliance requirement is missed.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">That accountability doesn&#8217;t disappear just because the code got easier to write. If anything, faster development makes this risk easier to underestimate. A working prototype can create false confidence that the hard part has been solved too.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Even analysts who take that scenario seriously place it further out than the hype suggests. Asked whether building will eventually become the only viable path, Laszlo Varga of Nimdzi Insights <a href=\"https:\/\/www.nimdzi.com\/the-build-or-buy-trap-of-language-ai-platforms\/\" rel=\"nofollow\">answers<\/a> that it might, perhaps within three to five years, but not in the next procurement cycle.<\/p>\n\n\n\n<h2 id=\"The-real-cost-isn't-development\" class=\"wp-block-heading\">The real cost isn&#8217;t development<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Even setting aside the debate about how fast AI will improve, building a translation workflow in-house carries costs that don&#8217;t show up in a sprint estimate.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"683\" src=\"https:\/\/poeditor.com\/blog\/wp-content\/uploads\/2026\/11\/build-vs-buy-graphic-1024x683.png\" alt=\"\" class=\"wp-image-8652\" srcset=\"https:\/\/poeditor.com\/blog\/wp-content\/uploads\/2026\/11\/build-vs-buy-graphic-1024x683.png 1024w, https:\/\/poeditor.com\/blog\/wp-content\/uploads\/2026\/11\/build-vs-buy-graphic-300x200.png 300w, https:\/\/poeditor.com\/blog\/wp-content\/uploads\/2026\/11\/build-vs-buy-graphic-768x512.png 768w, https:\/\/poeditor.com\/blog\/wp-content\/uploads\/2026\/11\/build-vs-buy-graphic.png 1536w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">None of this means building is always the wrong choice. For some companies, with the right scale and in-house expertise, it genuinely is a core differentiator worth owning. However, for most teams, the translation workflow isn&#8217;t the product. It&#8217;s infrastructure. And infrastructure is usually better bought than maintained.<\/p>\n\n\n\n<h2 id=\"This-debate-isn't-new,-and-the-pattern-is-familiar\" class=\"wp-block-heading\">This debate isn&#8217;t new, and the pattern is familiar<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">If this all sounds like d\u00e9j\u00e0 vu, that&#8217;s because it is. In a recent piece on <a href=\"https:\/\/talkinglogistics.com\/2026\/02\/09\/should-you-really-vibe-code-a-tms\/\" rel=\"nofollow\">Talking Logistics<\/a>, industry analyst Adrian Gonzalez pointed back to a 2015 LinkedIn post by then-HPE CEO Meg Whitman declaring that &#8220;every company is a technology company,&#8221; and to his own 2018 follow-up arguing that build vs. buy had already become less of a binary choice and more a matter of finding the right hybrid approach for each situation. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The pattern repeats with each new technology wave: a new tool makes building feel radically more accessible, and some teams rush to bring everything in-house. Some of those bets pay off. Many don&#8217;t. Gonzalez points to the 3PL industry in particular, citing DHL&#8217;s costly, ultimately abandoned attempt to build its own custom forwarding system in-house as a cautionary example.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">What&#8217;s genuinely new with AI-assisted development is how much friction has been removed from the &#8220;build&#8221; side. That&#8217;s worth taking seriously. But removing friction from writing code doesn&#8217;t remove the friction that was never about code in the first place: data integrity, compliance, integrations, and the slow work of keeping a system reliable once real users depend on it.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">There&#8217;s also a flip side worth noting, one that applies more to software vendors than to the companies evaluating whether to buy from them: Gonzalez argues that AI doesn&#8217;t eliminate the build vs. buy decision so much as change who gets to build and how much friction stands in their way, which means vendors who don&#8217;t let customers shape more of their own workflows risk losing ground to the DIY option.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The pattern isn&#8217;t limited to adjacent industries, either. Localization technology has its own paper trail on this exact question. A talk at the 23rd Internationalization &amp; Unicode Conference argued that almost three-quarters of companies would rather license localization technology than develop their own, the question was already the subject of conference papers by 2006, and LocWorld has run dedicated build vs. buy sessions as recently as 2019 and 2025. Two decades of recurring conference talks on the same question is itself a kind of evidence.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Nimdzi makes the same point about the current AI wave specifically: building custom tools has gotten dramatically easier, but the real cost of pushing an in-house localization platform to genuine production-grade reliability is routinely underestimated.<\/p>\n\n\n\n<h2 id=\"The-real-moat-is-context\" class=\"wp-block-heading\">The real moat is context<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">There&#8217;s a sharper way to think about what vendors should offer in return, and it comes from outside localization entirely. In a recent newsletter, martech analyst Scott Brinker argued that the traditional pillars of SaaS value \u2014 features, interfaces, data lock-in \u2014 are eroding fast: AI turns a new feature into a weekend project, agents increasingly bypass the interface, and shared cloud data platforms loosen data lock-in.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">What doesn&#8217;t erode, <a href=\"https:\/\/newsletter.chiefmartec.com\/p\/the-saas-moats-are-crumbling-but-the-opportunity-is-bigger\" rel=\"nofollow\">he argues<\/a>, is the domain expertise, governance logic, and operational intelligence a platform accumulates over years of serving customers. It&#8217;s exactly the context generative AI depends on, since its output is only as good as the context it&#8217;s given.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">That reframing applies almost perfectly to translation workflows. A generic AI model can translate a string in seconds. What it doesn&#8217;t know is that a specific client always wants a specific term translated a particular way, or that a given project carries a QA rule built up over dozens of past corrections. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">That accumulated context (translation memory, glossaries, QA history, workflow rules) belongs to the team that built it, and it can be exported and moved. What a prototype doesn&#8217;t come with is the machinery that keeps applying that context consistently across people, projects, and releases while it keeps growing. That machinery is the part that gets easier to write but no easier to own.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Brinker&#8217;s sharper point is that platforms which only pay lip service to openness, while quietly funneling everything through their own interface, will lose out. Real staying power comes from exposing that context through open, standards-based APIs that any tool or agent can actually use. That&#8217;s not a hedge. It&#8217;s the only way &#8220;buy the core&#8221; stays the right call as AI agents become a normal way of interacting with software: the core has to be genuinely reachable, not just reliable.<\/p>\n\n\n\n<h2 id=\"Where-POEditor-fits\" class=\"wp-block-heading\">Where POEditor fits<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Here&#8217;s what that looks like in practice, with POEditor as the example. A small team pushing occasional updates can manage fine with a script and a round of human review. The moment more contributors, more languages, or a steadier release cadence enter the picture, the cost shifts from writing code to keeping everyone working from the same terms, translations, and review process. It&#8217;s exactly the coordination problem the earlier sections describe.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>POEditor is built around that coordination<\/strong>: translation memory, glossaries, automated QA checks, and a shared workspace in one platform. Paid plans don&#8217;t charge per contributor, so bringing in another translator, developer, or subject-matter expert for a one-off terminology check doesn&#8217;t add a seat fee. Costs move with string volume and feature tier, not headcount. The Free plan is the one exception, capped at five contributors.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This isn&#8217;t abstract. Look at how some of the larger platforms package the basics: Crowdin holds self-hosted Git behind its $450\/mo Team+ tier, Lokalise&#8217;s entry plan starts at $149\/mo with a capped number of seats, Phrase meters pricing by managed and processed words plus AI units, and Smartling publishes no pricing at all until a sales call. <\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"wp-block-paragraph\">POEditor&#8217;s entry paid plan is $17\/mo billed annually ($20\/mo billed monthly), with unlimited contributors from there. <strong>The things a dev team needs on day one aren&#8217;t held back for an upsell<\/strong>. (Competitor pricing as published in November 2026; check current plans before citing these figures, since providers revise pricing over time.)<\/p>\n<\/blockquote>\n\n\n\n<p class=\"wp-block-paragraph\">That packaging matters more than it looks. In Nimdzi&#8217;s 2026 research with more than 100 enterprise localization leaders, one of the top reasons companies consider building their own tooling is total customization: tools that fit their needs, instead of missing functionality or paying for features they never use. <\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"wp-block-paragraph\">\ud83d\udca1If paying for bloat is what pushes teams toward DIY, the answer doesn&#8217;t have to be building from scratch. <strong>It can be a platform that doesn&#8217;t charge for what you don&#8217;t need<\/strong>.<\/p>\n<\/blockquote>\n\n\n\n<p class=\"wp-block-paragraph\">The cost math is stark, too. Nimdzi found enterprise teams willing to replace a language platform with an in-house build even when the platform cost only a quarter to half of one senior machine learning engineer&#8217;s annual salary. <strong>POEditor&#8217;s top published plan, Enterprise, comes to roughly $2,650 a year billed annually<\/strong>. That&#8217;s a small fraction of a single engineer, before anyone has written a line of maintenance code.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">There&#8217;s also a quieter proof point: track record. Since AI made it trivial to spin up a working prototype, new localization tools have been appearing at a pace that would have been unthinkable a few years ago \u2014 many of them untested outside a demo. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>POEditor has been running since 2012<\/strong>, used by clients ranging from early-stage startups to large enterprises, across most verticals, including government agencies, educational institutions, and NGOs. That range means the platform has already absorbed the edge cases, procurement requirements, and compliance scrutiny that come with those kinds of customers, not just the ones a brand-new tool runs into in its first few months.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Developers can automate string movement through the API and Git integrations; translators and reviewers work from the browser editor without touching code or localization files. Teams can also plug in their own AI provider and configure the prompts, so switching models later doesn&#8217;t mean rebuilding the surrounding process.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">None of these capabilities is unique to POEditor. API access, Git integrations, workflow automation, and an MCP server for AI agents exist across the category. What varies is which plan unlocks them. Having them in place at an accessible tier is what makes it a genuine hybrid option rather than a closed box: the parts of a workflow worth building custom can connect to it instead of being built from scratch around it.<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"wp-block-paragraph\">The pitch, stated plainly: <strong>build the parts of the workflow that actually differentiate a business, and <a href=\"\/localization-software\">let a platform like this<\/a> carry the localization infrastructure that doesn&#8217;t<\/strong>. That&#8217;s one less reason to build your own tool just to dodge per-seat pricing. It doesn&#8217;t make buying the right call for every team, but it removes that particular excuse.<\/p>\n<\/blockquote>\n\n\n\n<p class=\"wp-block-paragraph\">Speed without ownership comes at a cost. Ownership without openness creates a dead end. The platforms (and the teams) that get both right are the ones still standing when the novelty of &#8220;I built this in a weekend&#8221; wears off.<\/p>\n\n\n<div class=\"call-action my-4 d-flex justify-content-between align-items-md-center gap-4 flex-column flex-lg-row\"><div><h3 class=\"fs-4\">Ready to power up localization?<\/h3><span class=\"fs-6\">Subscribe to the POEditor platform today!<\/span><\/div><a class=\"btn btn-b-primary d-flex align-items-center justify-content-center px-4 py-3 flex-shrink-0\" \n\t\t\t\t\thref=\"https:\/\/poeditor.com\/pricing\/?utm_source=blog&#038;utm_medium=btn&#038;utm_campaign=cta_pricing\">See pricing<\/a><\/div>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n","protected":false},"excerpt":{"rendered":"<p>There&#8217;s a new version of the old build vs. buy debate going around: now that AI can write code in minutes, why would anyone still buy software instead of building it themselves? It&#8217;s a fair question. AI coding assistants really have made the first stretch of any project dramatically faster to produce. If you&#8217;ve never [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[17],"tags":[],"class_list":["post-8650","post","type-post","status-publish","format-standard","hentry","category-localization"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Build vs. buy: AI made the easy part easier. The hard part is still hard. - POEditor Blog<\/title>\n<meta name=\"description\" content=\"Build vs. buy translation software? Explore the limitations and long-term challenges of building your own localization workflow with AI.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/poeditor.com\/blog\/build-vs-buy\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Build vs. buy: AI made the easy part easier. The hard part is still hard. - POEditor Blog\" \/>\n<meta property=\"og:description\" content=\"Build vs. buy translation software? 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