AI Dönüşümü Bir IT İşi Değil, Felsefi Bir Değişimdir!

17 Jun 2026 · 36 min
35:49

In this Turkish podcast episode, hosts (referred to as Speaker A and Speaker B, with occasional mentions of Haluk and Ali) discuss the transformation that artificial intelligence (AI) brings to the construction industry, arguing that it is not merely an IT project but a deep philosophical and organizational change. They critique the common misconception that AI implementation is just about buying software or assigning the task to the IT department, emphasizing that successful AI adoption requires a shift in thinking, corporate culture, and decision‑making processes. The conversation covers several interrelated issues: the poor quality and fragmented nature of data in construction firms (relying on Excel sheets, WhatsApp groups, and informal notes), the loss of corporate memory when key personnel leave, and the need for robust data governance. They stress that AI should serve as a decision‑support tool that amplifies human expertise rather than replaces it, and that the human judgment, experience, and intuition remain essential. The hosts highlight cultural barriers such as fear of reporting bad news, punitive attitudes toward errors, and a lack of trust, which hinder accurate data collection and AI effectiveness. They propose that before selecting any AI tool, companies must first clarify their strategic goals (e.g., faster delivery, transparency, learning orientation, safety, employee satisfaction) and develop a clear decision‑making architecture that defines who produces, validates, and uses data. Practical examples are given, such as using AI to predict project delays, cost overruns, and safety risks, but the speakers warn that without clean, well‑structured data and a supportive culture, AI will produce misleading results. The episode also touches on ethical considerations, noting that large AI firms are hiring philosophers to address AI ethics and that AI should be designed to be more human‑like in understanding. Finally, they conclude that AI transformation succeeds only when the entire organization, from top management to field workers, embraces a learning mindset, trusts the data, and views AI as an augmenting partner rather than a threat.

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