The perception that automation driven by artificial intelligence only affects manual and repetitive jobs is changing. Now, white-collar professions related to creativity and decision-making are also being impacted. According to the co-founder of Shakers, the most valued professionals today are not just experts in their field, but those who can combine their knowledge with the intelligent use of AI. This shift is transforming the labor market. Elena Fernández, co-author of the report "Artificial Intelligence and the Labor Market: Impacts on Worker Skills and People Management" (SEPE), warns of a generational gap: older individuals, especially women over 45, tend to have fewer digital skills, exacerbating inequality in adapting to AI. During the Indian AI Impact Summit, Sam Altman, CEO of OpenAI, acknowledged that some companies attribute layoffs to AI. While this is true in certain cases, in others it is due to financial reasons or restructuring. A recent example is the ERE announced by Capgemini in Spain, which could affect 748 employees, nearly 7% of its workforce, as part of a technological transformation process. Javier Pacheco from CCOO points out that many tech companies are looking to offset their investments in AI by reducing staff. This phenomenon is compounded by "AI washing," where companies exaggerate their capabilities in artificial intelligence to attract investments or project an innovative image. According to Pacheco, commercial pressure has led many companies to adopt AI without a clear strategy, highlighting the need for a European regulatory framework that provides clarity and control. At Shakers, they have found that sometimes companies use the term AI to justify decisions that actually respond to data needs or more traditional systems. According to a report from Boston Consulting Group, three out of four companies fail to implement AI, not due to a lack of access to technology, but because of a shortage of experts capable of integrating it effectively. Elena Fernández emphasizes that large companies are leading the adoption by attracting or training specialized talent. For his part, Daniel López from Cegid believes that the real challenge is the speed of adoption, not AI washing. According to him, the intention to integrate AI into companies is clear, and the pace of human adaptation surpasses that of organizations. Source: rtve.es