Mistrust towards the algorithmic surge has eased, and employees are starting to explore new solutions on their own—albeit with clear risks.
Artificial intelligence (AI) is already here, profoundly shaping workers’ everyday lives. Several studies show that the proportion of employees rejecting this technology has been steadily declining, though it still remains notable. At the same time, many have taken matters into their own hands—often moving faster than their own companies—and are using AI applications independently, which can lead to distortions and security issues. It’s a context marked by both fear and anticipation, underscoring the growing need to accelerate internal training so that the arrival of algorithms is orderly and genuinely useful.
Pedro César Martínez Morán, Director of the Master’s in Talent Management at Advantere School of Management (Comillas Pontifical University), explains that adaptation varies depending on each company: “The pace of adoption is creating a certain degree of inequality at work. The speed at which systems are being implemented is opening up a gap. The same applies to company size—larger organisations simply have more resources than smaller ones.”
“We’ve also identified a skills gap related to the digital environment. Naturally, the use of such systems will differ across the various levels within an organisation,” he adds.
