Filenews 7 September 2025 - by Theano Thiopoulou
It's no secret that Artificial Intelligence (AI) has changed the way people find information and communicate with their colleagues, creating new opportunities and potential to increase productivity in many areas, but there is also the concern that it may threaten traditional professions.
What is certain is that Artificial Intelligence opens up new paths and creates job specialties that until a few years ago we considered part of science fiction films.
The internet is full of opinions, discussions, articles on how Artificial Intelligence will transform work. The questions that concern us are whether Artificial Intelligence will "take our jobs" or abolish certain professional specialties, in the form we have known them until now.
Fileleftheros, on this topical issue that concerns thousands of workers in Cyprus and around the world, spoke with Dimitris Skouridis, Chief Scientist for Research, Technology and Innovation and Chairman of the National Committee for Artificial Intelligence.
As a result of the adoption of AI in businesses, Mr. Skourides explained to "F" that in recent years, new specialties and jobs of high added value have been created worldwide. These jobs, he notes, are positions that we are already seeing emerging in other ecosystems and we may see them become more dominant in Cyprus in the next 3-5 years, due to Artificial Intelligence. But what can be the new professions, according to Mr. Skouridis?
Specialties born by AI
1. Prompt Engineer – Designs and optimizes the instructions given to AI systems for accurate, relevant, and ethically sound results.
2. AI Model Trainer – Trains AI systems by feeding them with carefully prepared data and improving their performance over time.
3. AI Ethics Advisor – Advises organizations on the responsible use of AI, ensuring that technologies are aligned with ethical standards and ethical rules
4. Digital Twin Specialist – Manufactures digital copies of physical systems or processes to improve simulations, testing, and decision-making.
5. AI Product Manager – Oversees the development and launch of AI-based products, balancing technical capabilities with market needs.
6. AI Compliance Auditor – Audits AI systems to ensure they comply with regulations, data protection rules, and industry standards.
7. Director of AI (CAIO) – Provides strategic direction in the adoption of AI in an organization, aligning it with long-term goals.
8. Legal Technology Specialist – Uses AI tools to simplify legal research, contract analysis, and case preparation.
9. Algorithmic Fairness Checker – Evaluates AI algorithms to detect and correct biases, ensuring fair results.
10. Synthetic Data Designer – Creates artificial datasets that securely mimic real-world data, which is used to train AI while protecting privacy.
11. Machine Learning Engineer – Designs and implements machine learning models that power AI systems in various industries.
12. Natural Language Processing (NLP) Engineer – Specializes in AI that understands, interprets, and produces natural language.
13. AI Cybersecurity Analyst – Protects AI systems from cyber threats and ensures that models are resilient to attacks.
14. Head of Workplace Design – Redesigns workplaces, workflows, and workplaces to maximize collaboration between humans and AI.
15. Human-in-the-Loop Supervisor / Chief Feedback Loop Supervisor – Supervises systems where human feedback is necessary to improve the accuracy and security of AI.
16. AI Diversity Advocate – Promotes inclusion in the development and implementation of TN by reducing bias and supporting underrepresented groups.
17. AI UX Designer – Creates user experiences that make TN tools intuitive, transparent, and reliable.
18. AI Policy Analyst – Formulates policies and regulations on AI, ensuring safe innovation and protecting society.
19. AI Healthcare Specialist – Applies AI to medical diagnosis, treatment design, and patient care, while protecting ethics and safety.
20. AI Explainability Specialist – Makes AI systems more transparent by explaining to users and regulators how decisions are made.
21. AI Risk & Governance Lead – Sets frameworks for managing risk, accountability, and governance of AI in organizations.
22. AI Career/Retraining Advisor – Guides employees on how to adapt, reskill, and succeed in an AI-based economy.
23. Monetization Strategy Manager – Develops new business models and revenue streams from AI products and data.
24. AI Collaboration Manager – Creates collaborations between companies, governments and research institutions to promote innovation in the field of AI.
Artificial Intelligence and Humans
Mr. Skourides recently launched the podcast series entitled "Fearless Future", with the first episode being "The Future of Work in the Age of Artificial Intelligence". The discussion was based on PwC's "2025 Global AI Jobs" barometer and also drew on information from McKinsey's "Superagency in the Workplace", IDC's "FutureScape GenAI Predictions" and the World Economic Forum's "Future of Jobs Report 2025". All four reports highlight that people with knowledge and skills in Artificial Intelligence will have higher salary prospects in the future.
According to Mr. Skouridis, businesses must combine the adoption of technology with the commitment to their staff, investing in lifelong learning and enabling every person to develop alongside AI. "This moment requires curiosity, adaptability and personal responsibility.
"The future belongs to those who are willing to learn, experiment and move forward," Mr. Skourides noted. It sends the message for companies to go beyond words and start developing practical human-centric AI strategies. He also explained that new high-value-added jobs have been created in recent years, giving typical examples. He also stressed that organizations should not limit themselves to the isolated use of AI. Instead, "they need to aim at an organisational transformation to fully realise the value of AI," he explained.
The evolution of computers
The term Artificial Intelligence (AI) refers to the field of information technology that deals with the design and implementation of computer systems that mimic elements of humans that imply even elementary intelligence: learning, adaptability, drawing conclusions, understanding from context, solving problems, etc.
Some artificial intelligence technologies have been appearing for more than 50 years. However, the development of computers, the availability of countless data and new algorithms have enabled the rapid development of artificial intelligence, which is an EU priority.
