This article discusses the impact of the dual ecological and digital transition on the demand for job skills, as well as the necessary transformations in education systems to address these changes effectively and equitably. The reconfiguration of production processes generates a growing need for digital, green and transversal skills. Digitization drives the demand for advanced technology skills, such as programming, data management, and artificial intelligence. At the same time, the ecological transition requires knowledge of renewable energy, circular economy, energy efficiency and environmental management. Both transformations also underscore the importance of soft skills such as adaptability, problem-solving and change management.

In Catalonia and Spain, the evolution of the labour market highlights the necessity for continuous, transdisciplinary training that incorporates these new requirements. To meet these challenges, innovative training strategies, active learning methodologies, and close collaboration among companies, educational institutions, and public administrations are essential. Finally, ensuring an inclusive transition is crucial to prevent inequalities and guarantee that social, economic, and environmental benefits are evenly distributed. The success of this twin transition will rely on the adaptability of education systems and their connection to labour market needs.

Algorithmic management poses significant risks in the workplace. On one hand, it facilitates discrimination by relying on opaque patterns, making it difficult for “victims” to detect and prove unfair treatment. On the other hand, it intensifies work pressure and diminishes autonomy, which harms the physical and mental health of staff. Simultaneously, the ability to collect and process data in bulk provides the company with extensive control. Consequently, workers’ bargaining power diminishes, making it harder to participate in the distribution of productivity gains. Technology is also used offensively to monitor and press down on wages. With increasingly advanced algorithms, predicting and restricting the emergence of union or collective claims leaders becomes feasible. This phenomenon is exacerbated by productive outsourcing, as major companies maintain strict control through technological platforms while evading legal liabilities. To address these challenges, the text proposes an obligation to negotiate and agree with workers’ representatives, along with the implementation of recurring audits of algorithms to protect dignity and labour rights.

In a world increasingly aware of the importance of sustainability, transparency in business practices has become a priority. In response to this demand, the European Union issued the Corporate Sustainability Reporting Directive (CSRD) in December 2022, introducing stricter requirements for sustainability reporting. This directive redefines how companies must disclose their impacts, risks, and opportunities in environmental, social, and governance (ESG) matters, and promotes greater transparency and alignment with international regulatory frameworks. This, in turn, enables investors, regulators, and other stakeholders to make informed decisions about an organization’s level of sustainability. The article analyses the CSRD directive, highlighting its main benefits and obligations for companies in preparing sustainability reports. It also examines the potential impact of the EU’s proposed Omnibus I directive, presented in February 2025, on the implementation and scope of the CSRD.

This article explores the impact of artificial intelligence (AI) on the labour market, highlighting its disruptive implications and the opportunities it can generate. AI is an advanced technology capable of automating both routine and non-routine tasks, and it is already transforming activities such as image recognition, complex system management, and language processing. In addition to the effects of polarization and increased wage inequality induced by digital automation, AI can also put highly skilled jobs at risk, as it can replace tasks such as inferential reasoning and information organization. However, while automation will reduce the demand for human work, it will also create new occupations based on emerging skills. The application of AI can also complement human work, improving the quality of results and expanding job skills. This opportunity to develop complementarities will redefine tasks and open up new job opportunities. However, the benefits of AI will not be distributed equally, increasing the risk of exclusion for vulnerable groups. To mitigate these effects, inclusive and active policies that encourage technological adaptation and reduce social inequalities are needed so that AI truly becomes a tool that enhances human expertise.

The digital and ecological transitions are interconnected processes that generate both integration opportunities and regulatory challenges. At both the European and Spanish levels, policies seek to articulate both transformations, although difficulties persist in terms of regulation and resource management. This study analyses the initiatives and regulatory frameworks promoted by the European Union and Spain to address these challenges and promote a more balanced and sustainable development.

This article discusses the importance of designing and implementing diversity, equity, and inclusion (DEI) strategies rooted in sustainability principles to address new work environments significantly impacted by digital transformation. By studying several successful cases, key aspects that should be included in these strategies are identified, highlighting the relevance of conducting actions aimed at ensuring true inclusion of individuals, which are sustainable while leveraging the opportunities presented by digitization. Although the findings indicate substantial progress in this area, the business reality still provides opportunities for improvement to enhance the valuation and representation of all individuals within their work environments.

In recent years, interest in artificial intelligence (AI) has significantly increased. The availability of vast amounts of data, advancements in computing power, and the development of new methods and algorithms have enabled the training of more accurate and reliable models that can be effectively applied in real-world contexts. This growing interest has surged further with the emergence of new generative AI (GenAI) methods, which can synthesize text, images, video, audio, or code based on user input. The popularity of GenAI, along with the introduction of increasingly sophisticated versions that require more resources to create and run, has sparked debate about its long-term scalability. In this article, we will examine GenAI from a sustainability perspective, assessing its current impact and future projections, while identifying the most promising trends and technologies to enhance the long-term sustainability of GenAI.

This article sees the twin green and digital transitions as a central challenge that calls for rethinking the economic development model in the 21st century. It argues that economic growth based on quantitative expansion generates profound environmental crises and social inequalities, making a paradigm shift toward qualitative growth essential. Within this framework, it proposes reconciling digitization with sustainability, by orienting technological transformation toward improving the quality of life rather than the mere accumulation of wealth. Based on a critical review of the impacts of digitization and the limitations of conventional approaches to measuring development, it explores alternatives for integrating social justice, ecological limits, and technological progress. The article contributes to the debate on how to articulate an economic model that responds to contemporary challenges without reproducing the extractive dynamics of traditional growth.