Generative AI: A Turning Point for IT Strategies in the Region

The exploratory phase of generative AI is gradually giving way to implementation, with increasingly clear and multiple use cases that offer higher returns on investment.

This shift represents a crucial moment for IT departments, key drivers of this technology within organizations.

Generative AI’s ability to automate and scale tasks that require specialized knowledge and decision-making, often referred to as "cognitive repetitiveness," is profoundly reshaping how IT teams operate.

This impact is not limited to large strategic decisions but extends to frequent micro-decisions. For instance, when a developer determines how to write the next line of code or when an administrator analyzes a process log to diagnose the most likely cause of an issue and decide on a resolution.

Generative AI enhances the capabilities of developers, solution architects, operators, and other IT professionals, just as it transforms nearly every other sector within an organization.

This evolution is expected to establish a new equilibrium in the workplace, where professionals with strong soft skills will gain prominence over those with technical expertise.

The search for the right talent to harness the value of generative AI will remain a challenge from two key perspectives:

Firstly, the technical implementation perspective emphasizes the need for expertise in developing and deploying new components, covering all stages from project initiation to final deployment. Organizations should consider partnering with external technology providers or investing in the upskilling of their current workforce to effectively prepare for these evolving roles.

Secondly, the perspective of end-user competency emphasizes the importance of professionals with analytical skills and conceptual thinking. These individuals must be capable of understanding complex problems and formulating precise prompts. To meet this need, organizations should establish comprehensive training programs that engage employees across all levels to fully unlock the potential of generative AI.

IT departments have the potential to play a key role in the responsible and secure use of generative AI within organizations. Companies must align their values and purpose with clear guidelines and policies for AI development. Setting clear and precise boundaries for this technology is essential for establishing a strong foundation.

Moreover, integrating security professionals into IT’s daily operations, rather than positioning them as a separate unit that validates predefined processes, could represent a pivotal change. Security experts adopting a collaborative rather than audit-oriented mindset will be instrumental in fostering a more integrated and cohesive approach.

Generative AI-driven assistants are expected to transform software development, platform operations, and IT asset management. And this might just be the beginning. This is just the beginning: in the future, enterprise architectures are likely to evolve from traditional layers (channels, middleware, backend) to intelligent agents, each designed with specialized capabilities to handle specific business processes.