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Corporate AI in Turkey: Only 15% of Companies Have Dedicated AI Teams

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The Corporate Artificial Intelligence Research Report by the Turkey Artificial Intelligence Initiative (TRAI) reveals a detailed snapshot of the country’s corporate AI adoption landscape. Based on data from 126 organizations, the study highlights both growing momentum and persistent structural challenges in Turkey’s AI transformation journey.

AI Strategy and Adoption Levels

  • 37.6% of companies have a formal, approved AI strategy.
    While most organizations have placed AI on their strategic agenda, the majority still lack a fully institutionalized roadmap.

  • 32.8% of organizations are running five or more AI projects, showing increased experimentation and scaling efforts.
    However, many of these projects remain in pilot or testing phases.

  • Only 15.2% of companies have a dedicated AI team, though several have begun integrating AI capabilities into data analytics departments for sustainability.

AI Teams and Tools

  • 42% of AI teams consist of 4–10 people, suggesting a small but specialized workforce.

  • The most widely used generative AI models are:

    • OpenAI (80%)

    • Microsoft Copilot (44%)

    • Google Gemini (42%)

Challenges and Support Needs

Organizations reported that the biggest barriers to AI transformation are:

  • Talent shortages (58%)

  • Budget limitations (57%)

  • Cultural resistance (55%)

When asked where they need the most external support, companies cited:

  • Identifying AI use cases (31%)

  • Development and implementation (22%)

  • Organizational adaptation and culture (21%)

AI Strategy Priorities

The report shows that Turkish companies primarily leverage AI for:

  • Operational efficiency and cost reduction

  • Enhanced decision-support systems

  • Revenue growth and improved customer experience

Most organizations emphasize principles such as safety, ethics, transparency, and compliance in their AI strategies.

Additionally, a shift is observed from traditional machine learning models to agent-based AI architectures, with growing attention to AI literacy and workforce education.

Top AI Project Focus Areas

  • Chatbots and digital assistants

  • Predictive analytics (sales, churn, cost forecasting)

  • Image processing and quality control

  • Role-based AI agents for task automation

  • Generative AI tools for personal productivity

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