5 trends in agentic AI – Report by Google Cloud and Luce IT
Source: Google Cloud. (2025). AI agent trends 2026: Five shifts that will redefine roles, workflows, and business value in 2026. Retrieved from Luce Innovative Technologies: URL
If we look back, it seems like yesterday when we started to be amazed by Artificial Intelligence’s ability to write text or generate images. However, the world of technology moves at breakneck speed, and what seems novel today will be the standard tomorrow. According to the latest Google Cloud report, the year 2026 will mark a turning point: we will fully enter the era of Agentic AI.
But what does this really mean? We will stop using an AI that simply “answers questions” to work with systems capable of understanding objectives, planning strategies, and executing actions autonomously, always under our supervision. At Luce IT, we want to help you understand these five key trends identified by Google Cloud that will redefine roles, workflows, and ultimately, the value of your business in the coming years.
1. Agents for every employee
The first major change we are going to experience is a transformation in the interface between humans and computers itself. Until now, we have worked based on “instructions”: we tell the computer exactly what steps to take (open a spreadsheet, fill in a cell, send an email). In 2026, we will move to a model based on intents.
Imagine that, instead of performing a series of repetitive tasks, you simply tell your computer the result you want to achieve. The AI, using advanced large language models (LLMs) and agents, will determine the best path to achieve it.
This will radically transform the role of every employee. It will no longer be about executing mundane tasks, but about becoming a strategic supervisor of a team of AI agents. Your job will consist of setting goals, defining strategy, reviewing the quality of work, and providing that irreplaceable human judgment. In fact, many organizations are already seeing the fruits of this change; companies like TELUS report significant time savings (up to 40 minutes per interaction) thanks to AI.
2. Agents for every workflow
If an individual agent can help an employee, imagine what several agents working together can do. The second trend in the Google Cloud report speaks to the creation of agentic systems that will function like a “digital assembly line.”
We are talking about orchestrating multiple specialized agents to manage complete business processes from start to finish. For this to be possible, technology is advancing towards interoperability. Thanks to protocols like Agent2Agent (A2A), agents developed by different teams or companies will be able to collaborate with each other without friction.
Furthermore, these agents will not live in a bubble. Thanks to the Model Context Protocol (MCP), they will be able to connect in real-time to your databases and business tools. Think, for example, of a financial compliance system where agents monitor regulatory changes, update internal workflows, and generate audits automatically. It is the logical evolution towards a more connected and efficient enterprise.
3. Agents for your customers
Customer service has come a long way from basic chatbots that only knew how to answer frequently asked questions. In 2026, the trend is to offer “concierge-like” experiences, highly personalized and, above all, proactive.
The big difference will lie in the use of data. A customer agent won’t wait for you to explain your problem from scratch; it will already know your purchase history, your preferences, and the status of your shipments.
A practical example illustrating this change: imagine a delivery truck breaks down. Instead of waiting for the customer to call angrily about the delay, the agent detects the issue, reschedules the delivery for the next day, applies a compensation credit to the customer’s account, and sends a message informing them of the solution, all before the customer even knows there was a problem. Additionally, with new protocols like Google Agent Payments Protocol (AP2), these agents will even be able to make secure purchases under user pre-approval.
4. Agents for security
In the world of cybersecurity, human teams are often overwhelmed by the volume of alerts and data they must process daily, generating fatigue that attackers can exploit. The fourth trend shows us how AI will move from being a monitoring tool to an agent of active defense.
AI agents will be able to handle initial triage, threat investigation, and automatic incident response, allowing human analysts to focus on high-level defensive strategy.
Not only that, but AI will also be used preventively. Advanced tools like CodeMender are already demonstrating their ability to find “zero-day” vulnerabilities in software before they can be exploited, acting as a dynamic shield that evolves as fast as the threats.
5. Agents to scale: Human talent as the engine
Last but not least, we arrive at the fundamental piece of this puzzle: people. Success in adopting agentic AI will not depend solely on having the best technology, but on having the right talent.
We live in a time where the “half-life” of a professional skill has drastically reduced, becoming just two years in the tech sector. Therefore, training and continuous learning (upskilling) will be the true drivers of business value.
Leading companies in 2026 will be those that invest in technical learning resources and foster a culture of innovation, creating internal “digital hubs” where employees can experiment and learn to orchestrate these new systems. The ultimate goal is to free teams from the repetitive so they can shine in what makes us unique: creative, strategic, and empathetic thinking.
This Google Cloud report is an essential roadmap for any business leader who wants to anticipate the future. If you want to dive deeper into the data, real use cases, and technical strategies to implement these trends, we invite you to download the full report here:
Frequently Asked Questions about Agentic AI
How does the role of employees change with the use of AI?
The role evolves from execution to strategic supervision. Instead of performing repetitive tasks, employees become orchestrators who set goals, define strategies, and supervise the quality of work performed by teams of AI agents. You can learn more in this Google Cloud report: link
How to improve my company’s security with AI?
AI allows moving from a passive alert model to active defense. Agents can perform automatic triage, investigate threats, and respond to incidents in real-time, relieving alert fatigue for human analysts and detecting vulnerabilities before they are exploited. You can learn more in this Google Cloud report: link
What is the Agent2Agent protocol?
It is an open standard that facilitates interoperability between different AI agents. It allows agents developed in different frameworks or by different organizations to communicate and collaborate to complete complex workflows, creating true “digital assembly lines.” You can learn more in this Google Cloud report: link
How to apply AI Agents in my organization?
The key is not just the technology, but the upskilling of human talent. It is recommended to set measurable goals, ensure executive sponsorship, and create internal “digital hubs” to foster innovation, allowing employees to learn how to manage and orchestrate these new agentic systems. You can learn more in this Google Cloud report: link
