President Recep Tayyip Erdogan has unveiled a comprehensive national roadmap for artificial intelligence, detailing infrastructure investments and educational initiatives aimed at securing technological autonomy.

總統埃爾多安公布了一份全面的人工智慧國家路線圖，詳細列出基礎設施投資與教育計畫，旨在確保技術自主。

The strategic framework, designated as the AI Action Plan for 2026-2030, is predicated upon four operational pillars: discovery, benefit, production, and governance. To facilitate these objectives, the administration intends to mobilize approximately $10 billion in predominantly private capital to expand cloud computing and data center capacity to a minimum of one gigawatt by 2030. Furthermore, a fiscal commitment has been established whereby 2% of public investment programs will be earmarked for AI projects. This institutional shift is complemented by the creation of a National Data Library, which will provide public access to 2,000 datasets across critical sectors including defense, health, and agriculture.

此被定名為「2026-2030年人工智慧行動計畫」的戰略框架，基於四個運作支柱：探索、獲益、生產與治理。為了實現這些目標，政府打算動員約100億美元（主要為私人資本），在2030年之前將雲端運算與數據中心容量擴展至至少1吉瓦（gigawatt）。此外，政府已確立財政承諾，將公共投資計畫中 2% 的資金撥給人工智慧項目。此體制轉向將配合建立一個「國家數據庫」，向公眾提供國防、醫療與農業等關鍵領域的 2,000 個數據集。

Human capital development constitutes a central component of the state's strategy. The government plans to certify 10,000 advanced specialists and 100,000 application professionals, while simultaneously implementing a literacy program targeting five million citizens across 81 provinces. Regarding the 'produce' pillar, the state is prioritizing the development of indigenous large language models (LLMs), such as TUBITAK’s Bilge and projects by Baykar and the T3 Foundation, to mitigate reliance on external technological providers. Internationally, Türkiye seeks to influence human-centered AI standards via the OECD, G20, and UN, while pursuing a linguistic rapprochement with the Organization of Turkic States to develop a joint LLM covering Oghuz, Kipchak, and Karluk languages.

人力資本開發是國家戰略的核心組成部分。政府計畫認證 1 萬名高級專家與 10 萬名應用專業人員，同時在 81 個省分實施針對 500 萬公民的普及計畫。關於「生產」支柱，國家優先發展本土的大型語言模型（LLM），例如 TUBITAK 的 Bilge 以及 Baykar 和 T3 基金會的項目，以減少對外部技術供應商的依賴。在國際方面，土耳其尋求透過 OECD、G20 與聯合國影響以人為本的人工智慧標準，同時追求與突厥國家組織在語言上接軌，共同開發涵蓋歐古茲語、欽察語與卡爾盧克語的大型語言模型。

Parallel to these state initiatives, stakeholders within the defense sector have articulated a critique of current global technological paradigms. Selcuk Bayraktar, Chairman of Baykar, characterized the current dominance of global tech conglomerates as a form of 'techno-capitalist dominance' that utilizes neurological exploitation to undermine national sovereignty. Bayraktar advocated for the adoption of open-source architectures and distributed learning models to ensure data localization and transparency. He posited that a hybrid developmental approach, emphasizing cognitive capabilities over raw processing power, is essential to circumvent the hegemony of centralized data servers.

與這些國家倡議平行，國防部門的利害關係人對目前全球的技術範式提出了批評。Baykar 主席 Selcuk Bayraktar 將目前全球科技巨頭的主導地位形容為一種「技術資本主義統治」，利用神經學剝削來削弱國家主權。Bayraktar 主張採用開源架構與分佈式學習模型，以確保數據在地化與透明度。他認為，採取一種強調認知能力而非純粹處理能力的混合開發方法，是避開中心化數據伺服器霸權的關鍵。

Türkiye has initiated a multi-sectoral transition toward digital independence through targeted infrastructure spending, indigenous software development, and a comprehensive national education strategy.

土耳其透過針對性的基礎設施支出、本土軟體開發以及全面的國家教育策略，啟動了一次跨部門向數位獨立轉型的過程。