7 AI trends to watch in 2026, according to Microsoft

According to Microsoft leaders across its global AI, security, research and cloud divisions, AI is moving into a new phase, defined by partnership, specialised digital agents and rapid advances in scientific discovery, infrastructure and software development. Here’s how Microsoft sees the next wave unfolding.

1. AI will amplify what people can achieve together

Microsoft’s Chief Product Officer for AI Experiences, Aparna Chennapragada, says the next era of AI will be defined by deep collaboration between humans and intelligent systems. Rather than simply answering questions or completing tasks, Microsoft predicts AI will increasingly work alongside people – co‑creating, co‑reasoning and elevating human capability.

2. AI agents will get new safeguards as they join the workforce

As AI agents become more common in workplaces, Microsoft expects them to operate more like digital teammates. Vasu Jakkal, Corporate Vice President of Microsoft Security, says trust and security will be core to this shift. According to Microsoft, organisations will need stronger safeguards, governance and monitoring to ensure these agents support decisions safely and responsibly.

3. AI is poised to shrink the world’s health gap

Microsoft’s Vice President of Health, Dr Dominic King, predicts AI will move beyond diagnostics and begin supporting real‑world care, including symptom triage and treatment planning. Microsoft expects generative AI tools to reach millions of patients and consumers, helping close gaps in global healthcare access.

4. AI will become central to the research process

Microsoft Research President Peter Lee says AI is on the cusp of transforming scientific discovery itself. Instead of summarising papers or drafting reports, Microsoft expects AI to play an increasingly active role in uncovering new insights in physics, chemistry and biology, essentially becoming a lab assistant capable of speeding up breakthroughs.

5. AI infrastructure will get smarter and more efficient

According to Mark Russinovich, Microsoft Azure’s CTO, the next phase of AI infrastructure isn’t about bigger data centers, it’s about better ones. Microsoft predicts smarter optimisation, energy‑efficient systems and more flexible compute models that squeeze more value from every unit of processing power.

6. AI is learning the language of code – and the context behind it

Microsoft highlights massive growth in software development activity on GitHub as a sign of AI’s accelerating role in coding. Developers are merging tens of millions of pull requests each month, signalling a shift in how software is built and improved.

Mario Rodriguez, GitHub’s Chief Product Officer, says this scale is why 2026 will usher in a new phase of “repository intelligence.” In practice, Microsoft describes this as AI that understands not only lines of code, but the relationships, patterns and history that give code its meaning, enabling more intuitive, context‑aware development support.

7. The next leap in computing is closer than most people think

Microsoft also points to quantum computing as an area approaching major breakthroughs. Jason Zander, Executive Vice President of Microsoft Discovery and Quantum, says the industry is entering a “years, not decades” phase where quantum machines could soon solve problems that classical computers cannot. Microsoft sees this milestone – quantum advantage – as key to tackling complex global challenges.

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