# AI and digital transformation in production come to the fore in public policy | TİBİAD

> The Türkiye Artificial Intelligence Action Plan (2026-2030) was published in the Official Gazette of 18 August 2026. The Medium-Term Programme (MTP) also lists the wider adoption of AI-supported production systems among the means of using resources more effectively in industry.

- Address: https://tibiad.org.tr/en/news/ai-and-digital-transformation-priorities-in-manufacturing
- Language: English
- Organisation: TİBİAD - All United Business People Association
- Date: 2026-09-25

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Technology25 September 2026

 

## AI and digital transformation in production come to the fore in public policy

 

The Türkiye Artificial Intelligence Action Plan (2026-2030) was published in the Official Gazette of 18 August 2026. The Medium-Term Programme (MTP) also lists the wider adoption of AI-supported production systems among the means of using resources more effectively in industry.

 
 
 
 

 
 
 
 

The Türkiye Artificial Intelligence Action Plan (2026-2030) was published by Presidential Circular No. 2026/9 in the Official Gazette of 18 August 2026. The plan is built around four axes, Fark Et (Recognise), İstifade Et (Make Use), Üret (Produce) and Yönet (Manage), and its objectives include raising awareness of artificial intelligence, developing qualified human resources, strengthening data and computing infrastructure, and expanding the use of AI applications in the public and private sectors. The Medium-Term Programme (2027-2029), published on 6 September, envisages the wider adoption of AI-supported and autonomous production systems that monitor and improve businesses' use of energy, raw materials, labour and machinery in real time. According to the programme, support programmes will also be restructured to focus on investments that build productivity, technology intensity, high value added and export capacity.

### TİBİAD assessment

In TİBİAD's assessment, turning AI applications in production into productivity gains depends on three conditions being met together: production and process data must be collected regularly and reliably, the application must be linked to a specific business problem, and employees must be able to use the new tools as part of their daily work. In a business with weak data infrastructure, an AI investment may not deliver the expected benefit; for SMEs, the first step is therefore often to record core processes digitally.

At TİBİAD, we address this area through the work of our Industry, Technology and Digital Transformation Directorate and through the Digital Transformation and AI Programme. The Digital Transformation and AI Programme assesses the current situation of businesses in terms of processes, data and skills, and designs limited pilot implementations. Our IT, Software and Artificial Intelligence Board brings together members that provide technology and businesses that need it. TİBİAD highlights the following steps for businesses:

- Defining the targeted process problem and a success indicator before implementation
- Setting up the basic infrastructure for collecting production and energy data regularly
- Involving employees in the design of applications, and short job-specific training

### Sources

- Resmî Gazete — Cumhurbaşkanlığı Genelgesi 2026/9, Türkiye Yapay Zekâ Eylem Planı (2026-2030) (18 August 2026, Issue 33344) — [https://www.resmigazete.gov.tr/eskiler/2026/08/20260818-8.pdf](https://www.resmigazete.gov.tr/eskiler/2026/08/20260818-8.pdf)
- Cumhurbaşkanlığı Strateji ve Bütçe Başkanlığı — Orta Vadeli Program (2027-2029) (6 September 2026) — [https://www.sbb.gov.tr/wp-content/uploads/2026/09/Orta-Vadeli-Program-2027-2029.pdf](https://www.sbb.gov.tr/wp-content/uploads/2026/09/Orta-Vadeli-Program-2027-2029.pdf)

  
 
 
 

### Related projects

 
- [P04Digital Transformation and AI Programme](https://tibiad.org.tr/en/projects/digital-transformation-and-ai-programme)
- [P08Green Transformation and Sustainable Production Programme](https://tibiad.org.tr/en/projects/green-transformation-and-sustainable-production)

 
 
 

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