AI shifts roles for Ph.D.s, data analysts, and businesses

Florian Douetteau, the CEO of Dataiku, discusses the evolving landscape of AI in 2025. He highlights three groups concerned about their future: AI Ph.D.s, data analysts, and European businesses. However, he believes they all have opportunities to thrive if they adapt. AI Ph.D.s used to be in high demand, but now companies are looking for practical results more than theoretical research. Although fewer roles are available for traditional research, Ph.D.s can find new paths in fields like applied physics or computational biology. Their skills are still essential for innovative cross-disciplinary projects. Data analysts have historically played a crucial role in interpreting data. Now, AI tools are allowing executives to access insights more easily. Despite the threat to their traditional roles, data analysts will continue to be important. They can focus on data integrity and compliance, ensuring that AI systems operate smoothly and accurately. European businesses are navigating strict regulations like GDPR, which can slow AI innovation. There are fears that these rules may hinder Europe’s competitiveness in AI compared to the U.S. and China. However, Europe’s commitment to responsible AI could lead to ethically sound solutions and create a strong market presence. Overall, while the changes in the AI landscape may seem intimidating, both individuals and businesses can adapt. By leveraging their unique strengths, they can remain relevant in this new environment.