📄 中文摘要
超过一半的定制AI系统在18个月内失败，原因在于团队优先考虑能力而忽视数据架构。产品团队因错误的构建/购买决策浪费超过€120K，随后面临供应商锁定或维护挑战。2026年，随着更便宜的模型API、改进的开源框架和更严格的数据法规，市场格局发生了变化，但大多数团队仍依赖过时的决策标准。关键问题在于如何在构建与购买之间做出明智的选择，以避免高昂的成本和潜在的失败。
€120K AI决策：2026年构建与购买框架
出处: €120K AI Decision: Build vs Buy Framework 2026
发布: 2026年2月17日
📄 English Summary
€120K AI Decision: Build vs Buy Framework 2026
More than half of custom AI systems fail within 18 months due to teams prioritizing capability over data architecture. Product teams waste over €120K making incorrect build/buy decisions, leading to vendor lock-in and maintenance challenges. The landscape shifted in 2026 with cheaper model APIs, improved open-source frameworks, and stricter data regulations. However, most teams still rely on outdated pre-LLM decision criteria. The critical question is how to make informed choices between building and buying to avoid high costs and potential failures.