According to experts from Microsoft Research, Azure, GitHub and other strategic areas of the company, in 2026 there will be seven key trends that will mark the evolution of artificial intelligence.
These perspectives show how AI is leaving behind its role as a mere tool to become a digital partner that promotes creativity, productivity and scientific research, while transforming key sectors such as health, software development or security.
Main trends that will mark next year
1.- A new phase in the relationship between technology and people
The next wave of innovation will be made up of digital agents who will collaborate hand-in-hand with professionals, helping small teams multiply their reach.
Aparna Chennapragada, Microsoft Product Manager for AI experiences, anticipates that 2026 will mark the beginning of a new phase in the relationship between technology and people. If in recent years Artificial Intelligence has focused on answering questions and solving problems, the next wave will be based on real collaboration between the two.
2.- Security will be a fundamental pillar in the face of the proliferation of AI agents
AI agents will proliferate in 2026 and will assume a much more relevant role in day-to-day work, functioning more as partners than as mere tools, says Vasu Jakkal, corporate vice president of Microsoft Security. As organizations increasingly rely on these agents in their tasks and decision-making processes, building trust around them will be essential — and it always starts with security — Jakkal highlights. Each agent must have protections comparable to those of any employee.
According to Jakkal, security will become omnipresent, autonomous and integrated, not an add-on that is added later. And as attackers find new uses for AI to perfect their offensives, defensive mechanisms will rely on security agents capable of detecting and responding to threats very quickly.
3.- AI will contribute to reducing the global health gap
Advances in diagnosis, triage and treatment planning will leave the laboratory to reach millions of patients. Solutions like Microsoft AI Diagnostic Orchestrator (MAI-DxO) already demonstrate how artificial intelligence can also solve complex cases with unprecedented precision.
That change is crucial at a time when healthcare has become a global problem. The World Health Organization estimates that, by 2030, there will be a shortage of around eleven million health professionals.
With Copilot and Bing already responding to more than 50 million daily health-related queries, these advances will be an opportunity to help maintain greater control over health and well-being.
4.- AI will become the central axis of scientific research
In 2026, models will not only answer questions, but generate hypotheses, control experiments and act as real laboratory assistants. AI will not be limited to just summarizing articles, answering questions or writing reports, but will actively participate in the discovery process in physics, chemistry and biology.
This change is giving way to a world where each scientist could have an AI-based laboratory assistant, capable of proposing new experiments and even executing part of them.
5.- The AI infrastructure will be more intelligent, efficient and flexible
The growth of AI is not just about building larger and larger data centers, says Mark Russinovich, chief technology officer and deputy chief information security officer at Microsoft Azure. The next wave is to make the most of every unit of computing power.
The new generation of interconnected AI “superfactories” will reduce infrastructure costs and improve their efficiency. This change will allow the development of a more intelligent, sustainable and adaptable infrastructure to drive innovation in AI on a global scale, says Russinovich.
6.- The AI will learn the language of the code and its context
Software development is experiencing a moment of unprecedented growth, with activity on GitHub that in 2025 has reached historic figures. Each month, developers integrated 43 million change requests, up 23% from the previous year, into one of the main processes teams use to propose and review changes to their code.
In 2026, models will not only answer questions, but generate hypotheses, control experiments and act as laboratory assistants
By analyzing patterns within code repositories—the spaces where teams store and organize everything they build—AI can identify what has changed, why, and how the pieces fit together. That context helps provide more accurate suggestions, detect errors early, and even automate routine fixes. The result will be higher quality software and developers able to move faster.
The so-called “Repository Intelligence” will allow us to understand not only isolated lines of code, but also the relationships and context behind them.
7.- Quantum computing will take a decisive leap thanks to AI
The growth of hybrid computing is redefining the paradigm, with a model in which quantum computing works hand in hand with AI and supercomputers. Artificial intelligence detects patterns in data; supercomputers run massive simulations; and quantum computing adds an additional layer capable of offering much higher precision in the modeling of molecules and materials. This advance coincides with progress in logical qubits, made up of several physical qubits that combine to detect and correct errors and thus allow more reliable calculations.
With the advancement of architectures such as Microsoft Majorana 1, topological qubits and hybrid approaches will contribute to solving problems impossible for classical computing in a matter of years rather than decades.
