The challenge of managing technology talent in the age of AI
In recent years, Artificial Intelligence has been presented as a powerful lever to accelerate software development and increase the productivity of technology teams.
But the conversation is starting to shift.
The question is no longer whether AI can generate code faster. The real question is:
Is it truly helping create more value?
The data gathered in this POV invites a more nuanced view of AI adoption: a study with experienced developers found that, in complex tasks, the use of AI increased execution time by 19%; at the same time, although 84% of developers use AI tools, only 33% trust their results.
In complex IT environments, productivity is not just about writing more lines of code. It depends on understanding context, maintaining quality, reducing operational friction, and ensuring that teams can work with focus, judgement, and confidence.
The AI paradox in technology teams
AI can accelerate tasks, but it can also create new burdens: review, correction, debugging, validation, and the management of errors that are difficult to detect.
When a solution is “almost right”, the problem does not always appear immediately. But it can turn into technical debt, loss of trust, and reduced delivery capacity over time.
The challenge is not only technological
Adopting AI without transforming ways of working can remain a superficial improvement.
The real challenge lies in preparing teams, improving the developer experience, and building operating models capable of leveraging AI without increasing complexity.
Talent, DevEx and new operating models
The competitive advantage will not come from simply using AI, but from knowing how to integrate it with judgement.
That means rethinking how productivity is measured, how technology teams are supported, and what role elements such as Developer Experience, measurement frameworks, and Internal Developer Platforms play.
Discover the full POV
In this POV, we explore why managing technology talent has become a critical priority in the age of AI.
Download the full document and discover how to move towards a more mature, sustainable, and value-driven adoption of AI, without compromising quality or the strategic role of people.