President Erdogan has a new plan for artificial intelligence (AI). He wants Türkiye to make its own technology.

埃爾多安總統有一個關於人工智能（AI）的新計劃。他希望土耳其能開發自己的技術。

The government will spend 10 billion dollars. They want more data centers and better computers by 2030. They will also make a big digital library for health and farming.

政府將投入 100 億美元。他們希望在 2030 年前擁有更多數據中心和更高效能的電腦。他們還將為醫療和農業建立一個大型數位圖書館。

Türkiye wants to teach its people. They will train 110,000 AI experts. They also want 5 million people to learn about AI in all cities.

土耳其希望教育民眾。他們將培訓 11 萬名 AI 專家。他們還希望所有城市的 500 萬人能學習 AI 相關知識。

Türkiye wants to build its own AI programs. They do not want to use only foreign technology. They want to work with other Turkic countries to make a shared AI tool.

土耳其希望開發自己的 AI 程式。他們不希望僅僅使用外國技術。他們希望與其他突厥國家合作，共同開發一個 AI 工具。

Türkiye is spending money on computers and schools. They want to be independent in the digital world.

土耳其正投入資金於電腦與學校，旨在數位世界中實現獨立。

President Recep Tayyip Erdogan has presented a detailed national plan for artificial intelligence. This roadmap focuses on investing in infrastructure and education to ensure the country can develop its own technology.

總統埃爾多安提出了一項詳細的國家人工智慧計劃。此路線圖側重於基礎設施和教育投資，以確保國家能夠開發自有技術。

The new strategy, called the AI Action Plan for 2026-2030, is based on four main goals: discovery, benefit, production, and governance. To achieve these, the government plans to use about $10 billion, mostly from private companies, to increase data center capacity by 2030. Furthermore, 2% of public investment programs will be dedicated to AI projects. The government will also create a National Data Library to provide public access to 2,000 datasets in important areas such as health, defense, and agriculture.

這項名為「2026-2030年 AI 行動計劃」的新策略基於四個主要目標：發現、獲益、生產與治理。為了實現這些目標，政府計劃投入約 100 億美元（主要由私人公司提供），在 2030 年前增加數據中心容量。此外，公共投資計劃的 2% 將專用於 AI 項目。政府還將建立一個「國家數據圖書館」，提供醫療、國防及農業等重要領域 2,000 個數據集的公眾訪問權限。

Education is another key part of the plan. The state aims to certify 10,000 advanced specialists and 100,000 professionals, while teaching basic AI skills to five million citizens. To reduce dependence on foreign technology, Türkiye is developing its own large language models (LLMs), such as TUBITAK’s Bilge. Additionally, the country is working with international organizations like the UN and G20 to influence AI standards and is collaborating with Turkic states to create a shared language model.

教育是該計劃的另一個核心部分。國家目標是認證 1 萬名高級專家和 10 萬名專業人員，同時向 500 萬名公民教授基礎 AI 技能。為了減少對外國技術的依賴，土耳其正在開發自有的大型語言模型 (LLM)，例如 TUBITAK 的 Bilge。此外，該國正與聯合國和 G20 等國際組織合作以影響 AI 標準，並與突厥國家合作創建共享語言模型。

At the same time, leaders in the defense sector have criticized the power of global tech companies. Selcuk Bayraktar, Chairman of Baykar, argued that the dominance of a few large corporations threatens national sovereignty. He emphasized that using open-source software and distributed learning models is necessary to keep data local and transparent. He suggested that focusing on cognitive abilities rather than just processing power is the best way to avoid relying on centralized global servers.

與此同時，國防部門的領導者批評了全球科技公司的權力。Baykar 主席 Selcuk Bayraktar 主張，少數大企業的主導地位威脅到國家主權。他強調，使用開源軟體和分佈式學習模型對於保持數據本地化與透明度至關重要。他建議，專注於認知能力而非僅僅是處理能力，才是避免依賴全球中心化伺服器的最佳方式。

Türkiye has started a wide-ranging transition toward digital independence by investing in infrastructure, developing local software, and implementing a national education strategy.

土耳其透過投資基礎設施、開發本地軟體以及實施國家教育策略，已開始向數位獨立進行廣泛的轉型。

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。