Imagine for a moment an associate who, instead of waiting for you to ask for a market analysis, proactively detects an anomaly in the supply chain, checks inventory, cross-references information with real-time demand trends, negotiates with suppliers, and adjusts distribution logistics before the disruption occurs. Until very recently, thinking about a level of technological proactivity of this magnitude seemed unreal. Companies had become accustomed to using artificial intelligence as a hyper-efficient digital assistant: we gave it precise instructions to write emails, summarize meetings, or structure code in a simple way. However, at our recent global event, Google Cloud Next ’26, we made it clear that the stage of passive assistants and simple chatbots has reached a new stage of evolution.
We are witnessing the birth of the “agentic company,” a transformation that completely redefines the role of technology in senior management. At its core, the narrative emerging for the coming years is no longer about what software we buy, but about how we redesign the very anatomy of our organizations. The agentic company is one that evolves into ecosystems of autonomous agents that not only perceive their environment and process data, but also reason and act to generate tangible results. This paradigm shift requires us to stop seeing AI as an isolated service and begin to understand it as the connective tissue that unites our people, our data, and our applications in a single, intelligent flow. For a CEO, this means delegating tactical execution to artificial intelligence so that human talent can focus on what machines still cannot do: innovate, lead, and chart strategy.
However, to enable an organization to safely delegate critical processes to these agents, it is necessary to leave behind the purchase of fragmented software and adopt a unified architecture. The introduction of tools like Gemini Enterprise, Google’s AI solution for organizations that offers unlimited capabilities, custom agents, and enterprise-grade security to automate professional workflows, responds exactly to this managerial need. This technology works as a central control room where technical teams can build, scale, and govern entire fleets of AI agents, ensuring that every automated action complies with company policies. The business benefit is direct because it transforms manual operations into autonomous workflows that operate without interruption, allowing human talent to focus exclusively on strategy and complex decision-making.
Deploying thousands of autonomous agents requires simultaneously solving two of the biggest challenges for the financial and technological areas: controlling infrastructure costs and mitigating cyber risks. To make this massive adoption financially viable, Google Cloud’s new generation of TPU 8 processors achieves an 80% higher performance per dollar compared to previous infrastructures. This will allow companies to process twice as many interactions and serve more customers without needing to double their technology budget.
At the same time, opening corporate databases to autonomous processes requires securing the information. Under the concept of Agentic Defense, developed in conjunction with cybersecurity platforms like Wiz, artificial intelligence takes on the role of a digital bounty hunter, detecting novel attack patterns and blocking threats from code to cloud in a matter of seconds, transforming cybersecurity from a reactive model into a barrier of autonomous prevention.
What is truly fascinating about this transition is that it is not a promise we will live out in the next decade; it is a disruption that is already altering market shares in Mexico today. Just look at how in retail, Farmacias del Ahorro has launched its “PotencIA” project, using agent technology as the central axis to automate tasks in critical areas such as IT, e-commerce, and marketing, ensuring that its collaborators leave behind repetitive tasks to focus on strategic value.
In the financial sector, the story repeats itself through hyper-personalization. Actinver has unified its banking data to create a truly comprehensive view of the customer, using AI to offer hyper-personalized solutions and omnichannel experiences. Similarly, Banorte uses advanced analytics in the cloud to personalize its products in real-time, consolidating a much smarter, people-centric banking model.
Even the care of human life is benefiting from this data orchestration. Laboratorio Médico El Chopo is redefining the Mexican healthcare system by abandoning the traditional reactive medical approach to embrace a preventive and predictive one. By consolidating clinical information from multiple sources using AI, they are delivering a comprehensive view to both the doctor and the patient. The result is a frictionless experience for over a million customers, who now experience more accurate diagnoses and much faster access to their results.
We are facing an inescapable economic opportunity. Projections suggest that if Mexico accelerates the adoption of artificial intelligence, it could add between 3% and 5.6% to its annual gross domestic product, according to the AI Sprinters report. The foundational technology, the economic viability of the infrastructure, and the cybersecurity shields are already on the table. The era of the agentic company has begun. Now, the true competitive differentiator will not be which company has access to the most sophisticated algorithms, but which leadership team has the audacity to let go of manual control, trust in the autonomy of technology, and reimagine the entire functioning of their business. The technology is already here; the time to build the engine of growth is now.