In a context marked by economic uncertainty and pressure to be more competitive, companies are reconfiguring their way of operating. Every strategic decision seems to revolve around a word that has become the core of innovation, artificial intelligence. This is highlighted by CGI’s latest global report, which gathers the opinions of more than 1,800 business and technology executives around the world.

This study reveals a clear maturity in the adoption of AI, sustained growth in migration to the cloud and a tendency to reduce the number of technological partners to gain agility. In the words of its authors, organizations are “redrawing their digital roadmap to adapt to an increasingly complex and dynamic environment.”

Digitalization redefines business models

The acceleration of the value chain is one of the main drivers of this change. Two-thirds of the executives interviewed say that digitalization is completely redefining their business models. This phenomenon, driven by the reorganization of supply chains and changes in the global economic order, has grown ten percentage points in the last year, now reaching 38% of organizations, a figure that shows the current pace of transformation.

However, digitalization is not without obstacles. The lack of specialized talent, rigid structures and costs associated with transformation make it difficult to obtain a clear return on investment. Only 28% of managers consider their operating models to be agile enough to integrate new technologies, while almost half identify legacy systems as the main barrier to moving towards effective digital transformation.

The vision of CGI, efficiency and modernization as axes

Against this backdrop, executives are reevaluating their strategies. François Boulanger, president and CEO of CGI, emphasizes that “executives continue to pursue ambitious digital transformation goals while navigating complexity, managing costs and adapting to changing workforce dynamics.” In his opinion, organizations are increasingly looking for a partner that combines technical experience with deep business knowledge.

Boulanger adds that “CGI’s combination of local relationships and global reach, along with a comprehensive offering, enables clients to achieve tangible business results.” This combination, he says, is essential to close the gap between strategy and execution, especially in projects that involve technological modernization and integration of artificial intelligence.

From exploration to adoption of artificial intelligence

The CGI report shows that 35% of companies currently implement traditional artificial intelligence, while 26% have begun to integrate generative AI. Both figures register a significant increase compared to the previous year, which reflects a progressive technological maturity in the adoption of these solutions.

This evolution positions AI and automation as the main investment areas for the coming years. Organizations seek technology not only to optimize processes, but also to provide strategic intelligence, allowing more informed decisions and continuous innovation.

Dave Henderson, president of Intelligent Solutions and Innovation at CGI, says that “with organizations increasingly investing in AI, we are committed to guiding clients through a scalable, responsible and people-centered transformation.” According to Henderson, the goal is to integrate AI “seamlessly and responsibly to drive innovation and make smarter decisions in an increasingly data-driven world.”

A future based on collaboration and responsible AI

The study also reveals a trend towards reducing the number of technology partners. Companies seek to consolidate their relationships with fewer, but more strategic partners, capable of offering end-to-end solutions and accompanying them in the complete transformation cycle. In this new scenario, trust and collaboration are as important as the technology itself.

CGI maintains that the success of digital transformation lies in the ability to combine sector experience with technological vision. As organizations adopt artificial intelligence in a more mature way, the key will be to do so in a way that is ethical, secure, and aligned with business objectives.