The impact of AI has ceased to be a promise for the future and has become a reality that is redefining business activity. Its rapid evolution has opened an intense debate about the role it will play in the labor market and whether it will end up replacing certain professional profiles.
However, the focus of the conversation should be placed elsewhere. The question is not whether AI will replace people but how it will change the way we work, compete and generate value within organizations.
Software development is one of the areas where this transformation is most evident. Concern about the possible displacement of programmers has been constant although experience is showing that the reality is quite different. The difference is not made by the competition between a professional and an artificial intelligence tool but between those who know how to take advantage of these technologies and those who choose not to incorporate them into their work.
More and more developers are using generative AI solutions in their daily activities to automate repetitive tasks, streamline processes, and free up time for higher-impact activities. Technology does not eliminate the need for talent but rather multiplies the capacity of professionals to obtain better results.
For years, furthermore, attempts have been made to measure technological productivity using indicators that offered a limited view of reality. An example is the number of lines of code, a parameter that has never accurately reflected the quality of the work performed. In many cases, the most efficient solution is precisely the one that solves a problem with less code, a more solid architecture and better performance.
The value generated is the true measure of productivity
Productivity does not depend on the number of tools used or the hours invested in a task, but rather the impact that the work has on the business. Artificial intelligence can become a decisive ally to improve this capacity to generate value but it should never be the objective in itself.
Part of the initial expectations about this technology led to thinking that it would be able to solve any challenge automatically. As time goes by, the market is entering a more mature stage in which it is understood that no technology brings results on its own.
AI needs a clear strategy, an appropriate governance model and well-defined objectives to realize its full potential. Otherwise, you risk becoming an underused or applied tool with no real purpose. We are facing a transformation comparable, in many aspects, to the arrival of the Internet, although this does not imply that all organizations will obtain the same benefits.
The difference will be in the ability to integrate artificial intelligence within business processes to solve specific needs. Its function is to speed up processes, improve analysis, reduce time and provide greater objectivity in certain tasks. However, it is still the human being who establishes priorities, interprets information and assumes responsibility for each decision.
For this reason, it is especially relevant to approach artificial intelligence from a humanistic perspective. It is not about humanizing technology but about using it to enhance people’s capabilities. While AI brings speed, consistency and processing power, professionals are still the ones who provide experience, context, critical thinking and strategic vision.
It is precisely the combination of both factors that generates sustainable competitive advantages. When technology complements, rather than replaces, human judgment, organizations can make stronger decisions and achieve better long-term results.
This evolution is also changing the way software development and technology investments are evaluated. Factors such as code quality, security, maintainability or performance, traditionally difficult to quantify, are beginning to be measured with greater precision. This makes it easier for business managers to better understand the return on their investments and make decisions based on objective information.
AI needs a clear strategy, an appropriate governance model and well-defined objectives
Technological management is moving towards a model that is increasingly oriented towards the value generated. It is no longer enough to know the cost of developing a solution, it is essential to understand what benefits it provides, what risks it helps to reduce and what its real impact is on the business.
Artificial intelligence will contribute decisively to accelerating this evolution by automating analysis, improving estimates and greater availability of information for decision-making. Even so, the determining factor will remain the same, the ability to interpret these data judiciously.
Because the future will not belong to those who accumulate more artificial intelligence tools, but to the organizations and professionals who know how to combine them with human intelligence to solve real problems and generate sustainable value.
Raúl Fernández, Director of Operations of LedaMC
