The President of the Piraeus Chamber of Commerce and Industry PCCI, Vasilis Korkidis, provides information from research data on the adoption of AI by Greek businesses
The Chamber of Commerce and Industry of Piraeus, in view of the Total Business Transformation 2025 conference and the participation of President Vasilis Korkidis on the prospects and challenges of business redefinition and transformation underlines recent research data on the delay in the adoption of AI by businesses and the lack of cyber readiness, as well as on the changes to International AI Agreements.
More than half of Greek businesses have neither a plan nor initiatives for the utilization of artificial intelligence, according to a survey by the Hellenic Confederation of Greek Enterprises. Only one in four is in the pilot stages, while 18% state that they intend to start something next year. The gap is particularly pronounced in SMEs, which are squeezed between inadequate infrastructure and lack of speed to align with the global technological pace.
Only 4% of organizations appear “mature” in cybersecurity, according to Cisco. Although artificial intelligence is already used to identify and respond to threats, the uncontrolled use of generative AI tools creates new risks. The phenomenon of shadow AI, non-integrated security solutions and understaffing burden the landscape. Most organizations are planning investments, but they are far from being truly ready.
The “Singapore Agreement” sets common research priorities for the security of general-purpose artificial intelligence. The text emerged from an international consultation between governments and experts and focuses on quantitative risk assessment, the development of reliable models and post-deployment control.
AI surpasses cybersecurity as the main investment priority of IT departments for the first time, according to a new international survey by AWS. 90% of companies are already using it, with almost half of them having reached production implementation. At the same time, 60% have appointed a Chief AI Officer or equivalent role. However, the lack of a strategy, the difficulty of moving from the experimental stage and the need to train staff remain key obstacles.
The European Commission is considering targeted changes to the AI Regulation, mainly to facilitate its implementation by companies. A Code of Practice for general-purpose models such as ChatGPT is expected soon, while the general principle is that simplification precedes revision.
Research by Duke University shows that workers who use AI tools are seen as less capable and more easily replaceable. The phenomenon is widely observed, without differentiation by gender, age or profession. Social prejudice against the use of AI can act as a deterrent, despite the practical benefits. Despite the success of AI companies admits that the lack of personal contact hurt the experience. The new model combines the speed of AI with the empathy of the human factor.
