Artificial Intelligence and the Green Transition in Türkiye: New Steps in…
Türkiye’s focus on artificial intelligence and the green transition brings energy efficiency, environmentally friendly production and sustainability compliance to the forefront for…
Artificial Intelligence · 2026-09-22 · 2 min read

Türkiye’s focus on artificial intelligence and the green transition aims to combine environmentally friendly production models with smart technologies. For manufacturing SMEs, this approach can support the assessment of energy use and sustainability compliance efforts. Delivering benefits depends on accurate data, clear objectives and the appropriate integration of technology into production processes.
- September 22, 2026
Initiatives that bring together artificial intelligence and the green transition are gaining prominence in Türkiye as part of its sustainable development and technological transformation goals. Aimed at supporting environmentally friendly production models with smart technologies, this direction addresses the digital and environmental transformation of industry and manufacturing together. For manufacturing SMEs, the key priority is to use technology not only to accelerate processes but also to improve resource use.
For businesses, the practical link between artificial intelligence and the green transition lies in making more meaningful use of production data. Assessing energy consumption and production process data together can help identify areas for improvement. However, turning this potential into business benefits depends on the accuracy and accessibility of the data and its connection to operational processes. Transformation should therefore begin with an understanding of current operations, before any technology is selected.
Energy efficiency is an important application area for AI-supported green transition among manufacturing SMEs. Understanding how much energy individual processes consume can provide a basis for improvement decisions. Artificial intelligence should be positioned as a tool that supports this assessment, rather than as a guarantee of savings on its own. Clearly defining objectives and measuring the baseline before implementation are important for reliably assessing the changes achieved.
Compliance with international sustainability standards is another significant aspect of this transition for businesses. Maintaining systematic records of production and resource use can strengthen the data foundation for compliance efforts. However, using artificial intelligence does not, in itself, mean compliance with any standard. Each business needs to assess the requirements that apply to it, verify the relevant records and align its technology applications with those requirements.
At X Mind Solutions, we believe it is important to consider artificial intelligence and automation alongside business processes. In the context of the green transition, our approach is to clarify needs, data sources and the indicators to be monitored before assigning a role to technology. Türkiye’s drive to bring together environmentally friendly production and smart technologies makes this integrated assessment relevant for businesses. Basing implementation decisions on measurable objectives can help keep transformation focused on concrete needs.
Frequently asked questions
- Why are artificial intelligence and the green transition considered together?
- Smart technologies can help support environmentally friendly production goals through data-driven decisions. Combining the two allows digital transformation and efforts to improve resource use to be considered within a shared framework.
- What is the first step towards energy efficiency for manufacturing SMEs?
- The first step is to understand current energy use and its relationship with production processes. Accurate, accessible data makes it easier to identify the needs that AI applications will address.
- Does artificial intelligence guarantee compliance with sustainability standards?
- No, using artificial intelligence does not ensure compliance with standards on its own. It can support data assessment, but the relevant requirements must be identified and compliance must be verified separately.
- How should the impact of green transition initiatives be assessed?
- The baseline should be measured before implementation, and the intended objectives should be clearly defined. Changes should then be assessed by monitoring the same indicators, while recognising that using technology alone does not guarantee results.
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