SAP has made known the resultados de su estudio The Road Ahead: Predictions and Possibilities for the Future of Workwhich has been carried out based on the analysis of more than 350 specialized sources and a survey among 8,058 workers from around the world. The study shows how AI is transforming practices in the areas of Human Resources related to talent managementand in particular those of personnel selection.
Among other areas, changes are reaching performance and performance evaluation, as well as compensation, with increasingly autonomous tools, more predictive processes and a profound redefinition of the concept of contribution to the company. But it is in personnel selection where the use of AI is most advanced.
Furthermore, its use is not limited only to companies, since 39% of employees acknowledge having used AI tools to prepare their applications, and almost all of them consider that they have found it useful. But a look at the study data shows that candidates do not like that Artificial Intelligence is in charge of all phases of the process.
When deciding which process tasks they prefer AI to handle and which people to handle, they clearly prefer machines to focus on the administrative side, and people to focus on humans. Except when it comes to offering the result of the process. In this case, candidates do not care whether a negative result comes from a human or a machine, but they prefer that a person tell them that they have been selected.
Alternatives in personnel selection
On the other hand, over-automating processes could lead to “technological competition” that can undermine trust and dehumanize the experience. Given this, the SAP report proposes as an alternative selection systems based on the real potential of each person, supported by verified credentials, simulations that assess judgment in real situations and more transparency about the conditions of the position offered. In this scenario, resumes lose prominence compared to capabilities, adaptability and continuous learning.
Another of the big changes proposed in the SAP study focuses on performance evaluation. There are still many companies stuck in annual cycles and activity metrics, and according to the report, AI could give this model a boost to almost instant monitoring of each action. However, this approach runs the risk of promoting a reductionist view of work.
An alternative scenario prioritizes sustained impact rather than immediate results. Thus, the employee’s contribution to overall performance, what knowledge he or she disseminates or how he or she facilitates the work of others becomes relevant. This vision will require AI systems capable of capturing nuances beyond metrics, as well as governance frameworks that ensure long-term equity. Also cultural changes that rethink performance to go from what is done in a day to the difference that what is done makes.
The third area of change directly affects salary. The study shows that, as performance is measured by the magnitude of the contribution, compensation must evolve as well. It is essential in this sense that organizations reward correctly, since for employees, salary represents 71% of their motivation at work.
The SAP report also supports a model that recognizes the long-term impact, linked to projects, innovations or sustained improvements. In this way, compensation becomes a long-term investment that encourages employees to think and act as shareholders of the business.
Hierarchical pay gaps are narrowing as lower-level, high-impact workers are recognized on a par with senior leaders, and share-based rewards, once reserved primarily for these leaders, are extended to the workforce. This also leads to increased loyalty and decreased turnover.
José Luis Velázquez, director of SAP SuccessFactors for Southern Europehas highlighted that «The field of Human Resources has been one of the first to integrate artificial intelligence within organizations, and we are already seeing significant changes in the way talent is managed. Competency-based selection is a clear example of this transformation. AI is helping to improve efficiency, process quality and productivity, providing greater agility and analysis capacity. However, when we talk about people, it is essential to preserve the human dimension and find the man-machine balance.«.
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