AI in Business: Productivity Gains & Employee Impact in Spain 2025

The rapid adoption of artificial intelligence within businesses, particularly generative and agentive AI, is raising concerns about a potential modern form of workplace stress: “silent exhaustion.” Whereas AI promises increased productivity, a growing body of evidence suggests it may be intensifying work rather than alleviating it, leading to burnout, especially among younger workers.

According to data from Spain’s Instituto Nacional de Estadística (INE), 21.1% of companies with more than 10 employees were utilizing AI in the first quarter of 2025, nearly doubling the 12.3% reported during the same period in 2024. The INE data also reveals a higher integration rate among larger companies, with over 58% incorporating these tools in 2025, varying across industries from 11.4% in construction to 60.5% in information, and communications. However, the statistics alone don’t reveal the full picture of AI’s impact on the workforce.

Productivity Gains and the Audit of AI

Estimates of AI’s impact on productivity vary. A report by the Center for Economic Policy Research suggests a modest 0.29% increase in productivity for firms that have deployed AI over the last three years, though nearly 90% haven’t yet detected any significant gains. The analysis highlights the gap between expectation and reality. EY-Parthenon estimates a more substantial increase of 1.5% to 3% over the next decade, particularly in technology, finance, consulting, legal, and accounting sectors.

Interestingly, employee perception differs. A report from Workday, a software company, indicates that almost three out of four professionals in Spain feel more productive thanks to AI, saving an average of 1 to 3 hours per week on routine tasks. The Workday report also points out that some of this time saved is spent reviewing the output of AI systems. Crucially, it identifies a potential risk of “silent exhaustion” among those aged 25 to 35, who may be becoming “full-time auditors of AI,” constantly verifying and correcting the work produced by these tools.

The Intensification of Work

The idea that AI simply automates tasks and reduces workload is increasingly challenged. Research suggests that AI often intensifies work by accelerating pace and increasing the volume of tasks, often driven by employees themselves. This can lead to overload, cognitive fatigue, and a decline in work quality. A Harvard Business Review article argues that AI doesn’t reduce work; it changes its nature, demanding more constant attention and oversight.

Beyond the increased workload, there’s also the risk of demotivation. Organizations may invest in AI to reduce workload, but fail to adequately reallocate resources or provide employees with the skills and support needed to adapt to the new landscape. This can leave workers feeling undervalued and disengaged. ActivTrak’s State of the Workplace report highlights this disconnect, noting that many organizations haven’t invested sufficiently in resource reallocation alongside AI implementation.

The Cognitive Burden of Oversight

The “audit” role identified by Workday is particularly concerning. While AI can automate many tasks, it’s rarely perfect. Humans are still needed to verify accuracy, identify biases, and handle exceptions. This constant necessitate for oversight adds a significant cognitive burden, especially for younger workers who may be less experienced in critically evaluating AI outputs. The pressure to ensure AI-generated content is accurate and reliable can be exhausting, leading to the “silent exhaustion” described in the report. This isn’t simply about checking for errors; it’s about maintaining a constant state of vigilance, questioning assumptions, and ensuring ethical considerations are addressed.

Beyond Productivity: The Broader Implications

The focus on productivity gains often overshadows the broader implications of AI adoption. The shift towards AI-assisted work requires new skills and competencies. Employees need to be able to effectively collaborate with AI systems, understand their limitations, and adapt to changing workflows. This requires ongoing training and development, which many organizations are not yet providing.

the increasing reliance on AI raises questions about the future of work itself. As AI becomes more capable, there’s a risk that certain jobs will be automated, leading to displacement and unemployment. While AI is also expected to create new jobs, these may require different skills and qualifications, potentially exacerbating existing inequalities. The need for proactive workforce planning and reskilling initiatives is becoming increasingly urgent.

The Role of Organizational Culture

The impact of AI on employee well-being is also heavily influenced by organizational culture. Companies that foster a culture of trust, transparency, and psychological safety are more likely to mitigate the negative effects of AI. Employees need to feel comfortable raising concerns about AI-related issues, such as bias, accuracy, or workload, without fear of retribution. Leaders need to actively listen to employee feedback and address these concerns in a timely and effective manner.

Navigating the Future of Work with AI

The integration of AI into the workplace is not simply a technological challenge; it’s a human one. Organizations need to prioritize employee well-being alongside productivity gains. This requires a holistic approach that addresses not only the technical aspects of AI implementation but also the social, psychological, and ethical implications.

Looking ahead, several key steps are crucial. Investing in comprehensive training programs to equip employees with the skills needed to work effectively with AI is paramount. Organizations should also focus on redesigning jobs to leverage AI’s strengths while minimizing the risk of overload and burnout. Regularly monitoring employee well-being and soliciting feedback are essential for identifying and addressing potential problems. Finally, fostering a culture of open communication and psychological safety will empower employees to navigate the challenges and opportunities presented by AI.

The conversation around AI needs to move beyond simply measuring productivity and focus on creating a sustainable and equitable future of work for all.