The panel, focused on technology, innovation and the future of heavy industry, was moderated by Halil Kulluk, President and CEO of Intekno Group. During the session, Fazıl Oral and other experts discussed the role of artificial intelligence in industry and the risks and opportunities awaiting factories in the future.
Oral stated that artificial intelligence had its first major test in social media, emphasizing that such systems can trap individuals in echo chambers and lead to polarization. He stated that if these systems are not defined within regulatory frameworks and are not under state involvement, capital will act solely to maximize its own interests, adding that capitalism does not consider the human impact of artificial intelligence and focuses only on output.
technology consumption behavior and AI usage
Highlighting differences in how societies approach deep learning and technology, Oral stated that societies which do not produce concepts can only become consumers of technology. He emphasized that artificial intelligence is largely used as a question-and-answer mechanism in Türkiye, stating that “if you use artificial intelligence in this way, you only watch it like television. However, you should challenge it, demand it to criticize aggressively, and force it to find unorthodox correlations. Only then does it develop,” he stated. He also noted that global companies such as Amazon have recently introduced restrictions on uncontrolled artificial intelligence usage.
digitalization and economic value shift
Another key topic of the panel was the historical economic weight of digitalization. It was noted that the share of economic digitalization, which was at 10–20% in the early 2000s, increased to 45–50% by 2015 with smartphones and the platform economy. However, after 2015, particularly with the development of GPU technologies and the commercialization of artificial intelligence, this trend shifted.
With the 2022 generative artificial intelligence revolution, it was stated that the economic digitalization ratio decreased below 10%. This decline was explained not as a slowdown in digitalization, but as the result of artificial intelligence pushing potential far beyond existing economic applications.
real-time process management and monopoly risk
It was emphasized that traditional machine learning previously processed only static data such as license plate recognition and parking systems, whereas generative artificial intelligence now produces new information and context from attributes rather than raw data.
At its current stage, artificial intelligence was described as no longer just a statistical tool in factories but as an intelligent decision-maker capable of monitoring ERP and CRM systems in real time. While this transformation is expected to create a major efficiency wave in industry, it was also noted that it carries a risk of global concentration and monopoly formation in platforms controlling power and data.
In the closing remarks of the panel, it was emphasized that the planet and its ecosystem are the most valuable assets, and that AI-driven digital transformation should be designed in a way that increases industrial competitiveness while protecting this ecosystem.
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