When we look at the top IT trends for 2025, the key word continues to be generative AI. But unlike in previous years, it is no longer a surprise or a disruption. Organizations around the world, and Latin America is no exception, are analyzing the paths to follow to fully capitalize on the power of this technology.
This is not the only technology that will set the pace this year: investments in cybersecurity, modernization in the cloud or predictive observability will also be very relevant in the next 12 months.

But even in these cases, as we will see, investment is often linked to AI. The first, because of the new protection it demands. The second, because it requires a solid infrastructure base to fulfill its mission.
More patience, more maturity
IDC anticipates a leap “from experimentation to reinvention” by 2025.This shift will be driven by the introduction of AI agents and renovations in data, infrastructure and cloud.All, to deliver scalable “answers” and a greater focus on resilience through robust economics and pervasive cyber recovery.
In this context, global spending on AI enabling technologies will exceed US$749 billion by 2028.
In contrast, some factors could potentially obstruct the success rates of GenAI deployments. These include a shortage of developers, high costs, inadequate infrastructure performance, and poor coordination between IT and the business.
IDC predicts that up to 30% of organizations will reconsider their GenAI investments if solutions to these barriers are not aligned with business strategy. In the same vein, Forrester warns that impatience with AI ROI could drive companies to prematurely reduce investments, which would be a long-term disadvantage.
Generative AI: New use cases
In its FutureScape report for Latin America, the consulting firm IDC talks about what business leaders want from their generative AI initiatives. Increased productivity continues to be the top choice (52%). However, the increase in profits (49%) has risen to second place compared to the previous year. This is ahead of the goal of improving customer satisfaction (45%).
At the same time, there is an acceleration in the need for companies to use this technology to develop new business models. In the previous report, it had been the option selected by 29%. In this edition, it rose to 35%.
Again IDC argues that this year CIOs will focus on documenting the scope of the general use of AI to move from experimentation to monetization, in what the consultancy calls the “AI economy.”
On this path to greater maturity we will see among the IT trends for 2025 new vertical applications of generative AI. Especially in industries that already have a track record with this technology, such as telcos, finance, media, retail and energy.
AIOps, security and governance
Leveraging the benefits of AI, particularly generative AI, involves an additional challenge: minimizing risks.
Along these lines, Gartner speaks of “disinformation security” as an emerging technology for 2025, aimed at enabling companies to identify deep fakes, fraud attempts and impersonations. Situations that tend to grow exponentially due to AI.
It also places among its top ten IT trends for 2025 the AI governance platforms, solutions that allow to manage the legal, ethical and operational performance of systems.
In the same vein, Forrester argues that more than 50% of technology decision makers will see their technical debt increase to moderate or high level of severity by 2025, a figure that will rise to 75% by 2026, driven by the acceleration of solutions to support AI.
To stop this, the adoption of AIOps platforms will triple. These provide contextualized data to improve human judgment, remediate incidents and improve business outcomes.
Agentic: The star of 2025
Gartner ranks Agentic as the number one IT trend for 2025. IDC, meanwhile, says that 60% of Latin American companies will be using agents configured for specific functions by 2028.
What is AI Agentic and why is it revolutionizing the landscape? It is autonomous AI solutions capable of planning, making decisions and carrying out actions to achieve pre-established objectives. In other words, it allows you to take generative AI from basic tasks to complex ones.
This is a real challenge. The architectures are complicated and require multiple models, advanced augmented retrieval-generation (AGR) stacks, advanced data architectures and specialized expertise.
Forrester issues a warning: 75% of companies trying to build these agents on their own next year will fail. A suitable technology partner becomes, in this context, essential. Nubiral has a center of excellence specialized in generative AI to help organizations take this new step.
Conclusions
We have a year ahead of us with enormous challenges in extracting value from generative AI and underpinning projects based on this technology. We will have to think about the strategy taking into account the innovative solutions themselves, including new agents. But also considering how to support what is coming from an infrastructure and cybersecurity point of view.
In other words: in 2025 we will all still be talking about generative AI, but with many, many new and novel approaches.
Interested in joining us on this evolutionary journey to help your organization get the most value out of your generative AI investments? We look forward to hearing from you: Schedule your meeting!