In 2025, the consulting firm IDC predicts that organizations across all industries will “strategically pivot toward AI to build resilient businesses driven by this technology.” However, Forrester highlights “the need for a data and AI strategy that not only addresses business impact and return on investment but also focuses on the principles of artificial intelligence, governance, talent, operations, and the activation of the right use cases.”
In the coming months, autonomous AI agents (agentic AI) are expected to play a more important role in planning and achieving user-defined goals and helping to complete various tasks. However, the path will not be straightforward: Forrester warns that 75% of companies attempting to build their own AI with agents will fail, as these architectures are complex and require diverse models, sophisticated retrieval-augmented generation stacks, advanced data architectures, and specialized expertise.
In any case, faced with the advancing AI landscape, companies will focus more on the reliability of this technology, controlling the associated risks, and aligning it with business goals. In parallel, AI governance platforms will enable compliance with policies for responsible and transparent use.
No Strategy, No ROI
IDC acknowledges that realizing the potential of artificial intelligence “involves risks, and moving from the hype of AI experimentation to realizing its value.” Many business leaders already recognize that the ROI of AI will develop over a longer period than initially expected. In this context, for companies not to reduce their efforts prematurely, Forrester suggests focusing on differentiating use cases and “developing a solid strategy that aligns with business aspirations and balancing immediate gains with sustained ROI.”
At the same time, AI will increasingly require processing power, which means organizations will also need to focus on reducing their carbon footprint through energy-efficient computing developments.
Technological Advances in 2025
In 2025, the modernization of cloud computing architectures will be a major focus for many companies, looking to achieve more cost-effective IT results, operational efficiencies, sustainability, and better performance of workloads and applications. However, next year hybrid computing, which combines different mechanisms of computing, storage, and networking, will be the model that will create transformative, highly efficient technological environments that perform more effectively than conventional setups.
This hybrid computing model involves the cloud, but also includes developments in edge computing, applications running in local data centers, and private clouds in on-premise environments. In fact, globally, analysts anticipate an increase in private cloud investments to keep data localized and address compliance issues.
On the other hand, hybrid computing will also expand the boundaries of computing with technological advances such as the long-awaited quantum computing, which will finally begin to make its mark and, among other things, help in the evolution of AI, thanks to its tremendous processing capabilities and super-fast speeds.
At Baufest, we expect a very dynamic 2025 in terms of technological innovations, and we will support companies in ensuring these implementations offer real value.