Profession

In every business, data goes a long way before it becomes usable: cleaning, calculations, exploration, scenarios, and then communication. This is the job of analysts, which is essential but often time-consuming, as more than half of the time is spent preparing data rather than learning from it. Artificial intelligence is changing the situation: not by replacing the analyst, but by playing the role of co-pilot, capable of automating repetitive tasks, detecting weak signals and generating scenarios so that humans can focus on understanding and making decisions.

The rise of AI is forcing agencies to reinvent themselves: while brands now internalize content and campaigns at a lower cost, agencies must abandon execution to offer greater strategic value (market expertise, AI workflows, AI workflows, training, data intelligence). Their future lies in orchestration rather than production. Trying Claude again can make mistakes. Be sure to check his answers.

The emergence of generative AI, especially since the launch of ChatGPT, is profoundly transforming the developer market. According to data from the Bureau of Labor Statistics, traditional programmer positions fell by -27.5%, while senior developer and architect positions fell by only -0.3%. This trend shows that automation mostly impacts basic programming tasks, while skills in system design, complex problem solving, and collaboration remain essential. The developers who will succeed will be those who know how to use AI as an efficiency tool, while continuing to learn and refine their analytical and organizational skills. For companies, this means training their teams in generative AI tools and recruiting profiles capable of bringing real added value.

AI automates routine tasks, allowing data scientists to focus on strategic challenges. Rather than replacing them, AI enhances their role and creates new opportunities, urging data scientists to adapt and innovate.

How Artificial Intelligence is reinventing the way we work and driving innovation

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