The AI Ecosystem in Türkiye: Actors and Gaps
How is Türkiye's AI ecosystem? A guide to the actors — startups, enterprises, academia-industry, public sector, investors — their strengths, gaps, and the talent pool.
The data behind a development and what it means operationally — consequences, not headlines.
How is Türkiye's AI ecosystem? A guide to the actors — startups, enterprises, academia-industry, public sector, investors — their strengths, gaps, and the talent pool.
Small language model or large model? An enterprise decision framework in light of task-based selection, the cost-performance balance, and the hybrid architecture trend.
The AI agenda floods in with dozens of announcements a day. This guide teaches you to separate signal from noise, filter out hype, and evaluate sources — step by step.
How is the AI ecosystem structured? We explain the hardware, model, orchestration, application, and consulting layers — and who sits where — with a clear layer map for enterprise buyers.
Where are AI regulations heading toward 2027? A qualitative, up-to-date guide to the EU AI Act rollout timeline, the Türkiye framework, and enterprise readiness.
Is it an AI bubble or a lasting transformation? We weigh the arguments on both sides, the expectations curve, and the practical takeaway for organizations with a balanced framework.
KVKK and AI debates: consent versus legitimate interest, automated decisions, using data for model training, and cross-border data transfer, in a comprehensive guide for organizations.
Enterprise AI adoption in Türkiye diverges by sector: regulated industries are cautious, manufacturing moves fast. Sector differences, maturity view, and common barriers.
On August 2, 2026 GPAI enforcement powers go live: 3% fines, transparency rules, and the Digital Omnibus deferral. A practical countdown guide for Turkish companies.
Most agent pilots die before production. The cause is not the model but governance, traceability and context management. I share a solution architecture from the field.
In Türkiye, AI Engineer average is 50,500 TL (Eleman.net), Istanbul 75-110K TL, Senior 180K TL+. Globally, OpenAI/Anthropic/DeepMind L6+ roles hit $850K-$1.28M (Levels.fyi). LinkedIn AI Engineer demand YoY +74%. City, experience, equity, tax (Wise, sole-prop), and Türkiye-to-remote transition strategy — complete data report.
If you sell on Trendyol/Hepsiburada or run your own Turkish e-commerce site: an end-to-end AI pipeline that turns a product link into a 30-second mobile-optimized ad reel. With Pika 2.2 + Runway Gen-4 + HeyGen + ElevenLabs + Suno you can produce one video for $3-8 — 60-100x cheaper than an agency. Includes Meta Advantage+ integration, 9:16 vertical format, KVKK + lip-sync caveats, and a real Trendyol seller case study.
Launched by Anthropic in November 2024, the Model Context Protocol (MCP) became the 'USB-C of AI' in 2026 — with 5,000+ servers, adoption by OpenAI, Google, Microsoft, and Salesforce, and its own Wikipedia page. This guide covers MCP's three primitives, transport layer, OAuth 2.1, building your own server, security risks, and Turkish-market opportunities for Yargıtay/BIST/KVKK-style MCPs.
A 2026 snapshot of the Turkish open-source LLM ecosystem: Trendyol-LLM, Cosmos-Llama, KanarYa, Kumru AI, the TÜBİTAK BİLGEM domestic model, and the T3 AI Baykar defense model. Detailed decision guide covering MMLU-TR and TUMLU benchmarks, licensing, tokenization gap, VRAM requirements, self-hosting needs, and which model to pick for which use case.
100 ready-to-use ChatGPT prompts for Turkish professionals — categorized (Management 15, Marketing 15, Content 15, Education 15, Software 10, E-commerce 10, HR 5, Customer Service 5, Finance 5, Legal 5, Health 3, Personal Productivity 2). Each prompt: use case, full prompt text, expected output example, variation tips, best-fit model (GPT-5/Claude/Gemini), KVKK warnings on sensitive topics. Prompt anatomy (Role, Context, Task, Format, Constraints — RBGFK framework), Turkish prompt engineering tips, official best practices from Anthropic + OpenAI, prompt iteration strategies, versioning.
Mistral AI's flagship models (Mistral Large 2, Codestral, Mixtral 8x22B MoE, Mistral NeMo, Le Chat), a map of European AI companies (Aleph Alpha, Stability AI, Synthesia, DeepL, Hugging Face, Helsing), the impact of the EU AI Act + GDPR, the open-source and sovereign-AI strategy, and a scenario-based selection guide for Turkish companies.
Grouped by format, newest first within each group.
Situations genuinely encountered in consulting and training engagements — where theory cracks in practice.
An answer to “which one should I pick?” with a criteria table and an explicit decision rule.
Understanding a term from zero, with examples — from definition to application.
A step-by-step, executable path — with prerequisites, outputs and typical pitfalls.
Beyond the overview: architectural decisions, production patterns and measured results.
Every option in one area, in one place, screened against the same criteria.
A subject treated in depth, without a fixed template.